backend software engineer, cloudkitchens - new york city

software engineer

machine learning engineer Jobs in New York

machine learning engineer

applied ai engineer

backend software engineer, cloudkitchens - new york city Jobs in New York

data engineer

automation engineer

Hewlett Packard Enterprise | HPE

<div>Performance Automation Engineer<p><br>
</p><p></p>This role has been designed as &lsquo;&rsquo;Onsite&rsquo; with an expectation that you will primarily work from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><p>Hewlett Packard Enterprise (HPE) Networking and Security DevOps team is seeking a talented, hands‑on Performance Automation Engineer who thrives in a fast‑paced environment. This role is ideal for someone skilled in performance tuning and Linux system optimization, looking to join a collaborative team and make a direct impact on critical SD‑WAN Edge Connect services. You will play a key role in performance analysis, tuning, troubleshooting, and optimizing hardware, virtual, and cloud‑based services running on Linux.</p><p></p><p><b>
You Will Make Your Mark by:</b></p><ul><li><p>
Enable complex performance testing and monitoring of HPE Networking SD-WAN products to ensure system level objectives are met.</p></li><li><p>
Collaborate with Engineering to proactively troubleshoot performance related issues and provide input on implementation considerations to ensure better performance metrics.</p></li><li><p>
Automate and maintain methods to deploy new testbeds in next-generation SD-WAN platforms for performance testing.</p></li><li><p>
Manage day-to-day operations to ensure the performance testbeds are configured appropriately for consistent execution of tests.</p></li><li><p>
Deploy new features and functionalities to performance testing frameworks.</p></li></ul><p></p><p><b>
About You:</b></p><p></p><ul><li>
Bachelor&rsquo;s degree or equivalent experience.</li><li>
Minimum of eight (8) years of experience in the networking industry.</li><li><p>
Minimum of three (3) years of experience and knowledge in automation using Python.</p></li><li>
5 plus years of experience in C programming and debugging.</li><li>
Experience with Linux as a traffic generator.</li><li>
Working experience with Intel E810 or similar network cards.</li><li>
Strong Computer Science fundamentals &ndash; algorithms and data structures, computational complexity, and excellent knowledge of programming.</li><li>
Hands on experience with Fedora Core or Ubuntu.</li><li>
Experience with Spirent or IXIA traffic generator.</li><li>
High degree of competency working with multi-threaded development.</li><li>
Strong troubleshooting and optimization skills.</li><li>
3 plus years of working experience with DPDK.</li><li>
Hands on knowledge of profiling/debugging/network traffic generating tools such as iperf, Nuttcp, Nmap, etc.</li><li>
A desire to constantly grow and learn new things. In this team you will be exposed to new technologies and new problems. Ability to assimilate new ideas and tackle tough problems as they arise will be the key to success.</li><li>
Familiarity with tools and system administration using MySQL, Docker Swarm, Jenkins, etc.</li><li>
Experience with wide-area-networking and network virtualization.</li><li>
Good communication skills, written and verbal, along with the ability to communicate complex procedures.</li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Cross Domain Knowledge, Design Thinking, Development Fundamentals, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)<p></p><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#unitedstates
#networking, #storage<p></p><p><b>
Job:</b></p>
Engineering<p><b>
Job Level:</b></p>
TCP_04<p><br>
</p>&quot;The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.<br>
&ndash; United States of America: Annual Salary USD 136,500 - 276,500 in California &amp; New York // 120,500 - 276,500 in Illinois &amp; North Carolina &amp; Texas
<br>
&ndash; Canada: Annual Salary CAD 114,300 - 164,300 in Ontario<br>
The listed salary range reflects base salary. Variable incentives may also be offered.
<br>
<br>
L&rsquo;&eacute;chelle salariale pr&eacute;vue pour un nouvel embauch&eacute; bas&eacute; au Canada occupant ce poste est indiqu&eacute;e ci-desus. L'offre peut varier dans cette &eacute;chelle en fonction de l'emplacement g&eacute;ographique, de l'exp&eacute;rience professionnelle, de et/ou du niveau des comp&eacute;tences. S'il s'agit d'un r&ocirc;le de vente, l'&eacute;chelle salariale indiqu&eacute;e refl&egrave;te le salaire de base combin&eacute; &agrave; la r&eacute;mun&eacute;ration des ventes cibl&eacute;es. S'il s'agit d'un r&ocirc;le non commercial, l'&eacute;chelle salariale indiqu&eacute;e refl&egrave;te uniquement le salaire de base. Des incitations variables peuvent &eacute;galement &ecirc;tre propos&eacute;es. &quot;<p></p><div><div><div><div><div><div><div><p>
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html</p><p>
Information about employee benefits offered in Canada can be found at https://myhperewards.com/pdf/hpe-recruit-brochure-can.pdf</p><p>
Des informations sur les avantages sociaux offerts sont disponibles sur https://myhperewards.com/pdf/hpe-recruit-brochure-can-fr.pdf</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
</p><p><b>No Fees Notice &amp; Recruitment Fraud Disclaimer</b></p><p></p><p><i><br>
It has come to HPE&rsquo;s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.</i></p><p></p><p><i><br>
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment </i><i>agencies/vendors </i><b><i>will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. </i></b><i>The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.</i></p></div>

Performance Automation Engineer

New York Life

<div><div><div><p>Job Description</p></div></div><div><div><div><h4 class="jobSectionHeader"><b>
Requisition ID</b></h4><div>
93451</div></div><div><h4 class="jobSectionHeader"><b>
Department</b></h4><div>
Tech Data AI Ventures</div></div><div><h4 class="jobSectionHeader"><b>
Job Function</b></h4><div>
Tech Data AI Ventures</div></div><div><h4 class="jobSectionHeader"><b>
Location</b></h4><div>
New York,New York,United States</div></div><div><h4 class="jobSectionHeader"><b>
Role Location Designation</b></h4><div>
Hybrid - 3 days per week</div></div></div></div><p></p><div><div><div><div><p><b><br>
Location Designation:</b> Hybrid - 3 days per week</p><p></p><p><br>
We are seeking an experienced QA Automation Engineer position in the Purchase Experience QA team. The qualified individual will enhance overall automation roadmap by collaborating with other QA automation engineers and end-to-end testers. He/She will work with other test leads and COE team to optimize testing and improve software quality for the overall organization. In addition, the automation engineer will ensure standards and guidelines set forth by the QA CoE are followed while aiding the Manager in establishing a baseline of QA team performance, monitoring overall delivery metrics and ensuring the function is continually improving year over year.</p><div><b>
What You'll Do:</b><br>
<ul><li>Providing technical expertise to automation test team in design, development &amp; maintenance of automation framework</li><li>QA Automation engineer will have complete ownership for preparing test automation solution, designing automation frameworks and lead the implementation of test strategy, test plans &amp; test execution of the product</li><li>Create test estimates and define/build reusable testing assets for large/complex projects</li><li>Develop and implement test automation frameworks</li><li>Provide technical leadership and support the creation of complex tests</li><li>Advise the customer on innovative testing products and solutions</li><li>UI and API level test automation expertise</li><li>High knowledge and master in current testing tools &amp; techniques</li><li>Supports automation script development and the optimization of those scripts.</li><li>Recommends new tools, techniques and methodologies needed to enhance productivity and quality.</li><li>Collaborate with product/business teams with NYL to strategize &amp; align long term solution for test automation including roadmap, tools, framework &amp; approach.</li><li>Must be extremely detail and technology oriented and possess excellent communications skills.</li></ul></div><div><b>
What You'll Bring:</b><br>
BS in Computer Science/Engineering preferred but not required if someone has adequate work experience and the skills for the role<br>
<ul><li>Extensive knowledge &amp; experience in automating applications in Cloud, Distributed, Mainframe and highly integrated complex environments.</li><li>Proficiency in programming languages like Java, python, JavaScript</li><li>Expert in automation frameworks such as JUnit, TestNG, Selenium</li><li>Expert with test automation tools/frameworks such as Mabl, Selenium/WebDriver, UI Path, Cucumber, BDD/TDD frameworks</li><li>Good knowledge in databases - Oracle, Postgres, SQL queries would be preferable</li><li>Experience with web service technology like XML, REST, SOAP, XML validations</li><li>Experience in building/developing CI/CD pipeline</li><li>Experience developing test frameworks and test cases using open source &amp; in-house test frameworks is preferred</li></ul></div><p></p><p><b><br>
Pay Transparency</b></p><p>
Salary Range: $81,000-$115,500</p><p>
Overtime eligible: Exempt</p><p>
Discretionary bonus eligible: Yes</p><p>
Sales bonus eligible: No</p><p>
Actual base salary will be determined based on several factors but not limited to individual&rsquo;s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.</p><p></p><div><p><b><br>
Company Overview</b></p></div><div><p>
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.</p></div><div><p>
Our diverse business portfolio creates opportunities to make a difference across industries and communities&mdash;inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you&rsquo;ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.</p></div><div><p>
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what&rsquo;s next, and your growth powers it.</p></div><p></p><p><b><br>
Our Benefits</b></p><p>
We provide a full package of benefits for employees &ndash; and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.<b> </b>Click here<b> </b>to discover more about our comprehensive benefit options or visit our NYL Benefits Site.</p><p><br>
</p><p><b>Our Commitment to Inclusion</b><br>
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life&rsquo;s leadership in this space.
</p><p>Recognized as one of <i>Fortune&rsquo;s</i> World&rsquo;s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.</p><p>
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.</p><p>
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees&rsquo; needs.</p><p></p><p><br>
Job Requisition ID: 93451</p></div></div></div></div></div>

Associate - QA Automation Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Job Title: </b>Member of Technical Staff (MTS) - Cloud Security Automation Engineer
</p><p></p><p><b>Location: </b>New York, NY; San Francisco, CA
</p><p></p><p><b>About the Team
</b></p><p><b>The Shared Team DNA </b>While every member of our team has a distinct focus area, we are all &quot;T-shaped&quot; engineers who learn from one another. Regardless of your title, you must share our collective passion for:
</p><ul><li><p><b>Customer Focus: </b>Treating internal developers as our primary customers and prioritizing their velocity and user experience.
</p></li><li><p><b>Automation: </b>Eradicating manual toil and &quot;ticket-ops&quot; via GitOps and AI-augmented workflows.
</p></li><li><p><b>Security: </b>Believing that security should be &quot;shifted left&quot; and built into the code, not bolted on as an afterthought.
</p></li><li><p><b>SRE Mindset: </b>Engineering for failure, prioritizing self-healing systems, and maintaining a 99.999% availability standard.
</p></li><li><p><b>Observability: </b>Relying on telemetry, centralized logging, and ChatOps to proactively identify and resolve issues.
</p></li></ul><p></p><p><b>About the Role
</b></p><p>As our Cloud Security Automation Engineer, you are responsible for ensuring that our high-velocity platform remains impenetrable. While the SRE team builds the automation engine, you build the brakes and the guardrails. You will translate dense compliance frameworks (like NIST 800-53) and strict corporate data policies into automated, programmatic rules. You will &quot;feed the brain&quot; of our AI agents and Policy-as-Code engines, ensuring that any infrastructure deployed by our developers is validated for security and compliance <i>before </i>it ever reaches production.
</p><p></p><p>Your Impact - Responsibilities
</p><ul><li><p><b>Policy-as-Code: </b>Write, test, and maintain the exact rules (e.g., OPA/Rego) that evaluate developer Pull Requests to ensure they meet Mission-Critical data classification standards.
</p></li><li><p><b>AI Agent Management: </b>Maintain and update the knowledge base and rule sets used by our AI-augmented GitOps agents, ensuring they are instantly aware of newly released internal security standards.
</p></li><li><p><b>Preventative &amp; Detective Guardrails: </b>Implement programmatic boundaries (e.g., Service Control Policies) to restrict unauthorized regions, mandate encryption, and enforce a strict &quot;Private-by-Default&quot; network posture.
</p></li><li><p><b>Continuous Compliance &amp; Observability: </b>Ensure that all operational and audit telemetry is aggregated into centralized, tamper-proof storage, and monitor aggregated threat detection dashboards to resolve anomalies.
</p></li></ul><p></p><p>Minimum Qualifications
</p><ul><li><p>Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or relevant work experience
</p></li><li><p>4+ years of experience in cloud security, DevSecOps, or security automation engineering.
</p></li><li><p>Hands-on experience writing and deploying Policy-as-Code (e.g., Open Policy Agent, Rego, Sentinel).
</p></li><li><p>Deep understanding of enterprise cloud security constructs, centralized policy enforcement, and KMS cryptography.
</p></li><li><p>Familiarity with translating rigorous compliance frameworks (e.g., NIST SP 800-53, FedRAMP, SOC2) into automated technical controls.
</p></li><li><p>Strong scripting skills (Python, bash) for developing automated security remediation lambda functions.
</p></li></ul><p></p><p>*LI-Y
</p><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $117,200 - $176,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $194,200 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Software Engineering MTS - Security Automation

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Job Title: </b>Senior Member of Technical Staff (SMTS) - Site Reliability Engineer (Cloud Automation)
</p><p><b>Location: </b>New York, NY; San Francisco, CA
</p><p></p><p><b>About the Team
</b></p><p><b>The Cloud Platform Engineering </b>team builds and operates the highly available, active-active mission-critical infrastructure that powers Salesforce at scale. We treat the internal cloud as a product designed to maximize developer velocity through automation-first thinking and a strict &quot;No Ticket-Ops&quot; philosophy. We are defining the next generation of platform engineering by running a LEAN, innovative team that leverages AI as much as humanly possible. By integrating AI agents directly into our GitOps workflows and our enterprise WorkOS (Slack), we aim to build a smart, secure platform that our internal developers love.
</p><p></p><p><b>The Shared Team DNA
</b></p><p>While every member of our team has a distinct focus area, we are all &quot;T-shaped&quot; engineers who learn from one another. Regardless of your title, you must share our collective passion for:
</p><ul><li><p>Customer Focus: Treating internal developers as our primary customers and prioritizing their velocity and user experience.
</p></li><li><p>Automation: Eradicating manual toil and &quot;ticket-ops&quot; via GitOps and AI-augmented workflows.
</p></li><li><p>Security: Believing that security should be &quot;shifted left&quot; and built into the code, not bolted on as an afterthought.
</p></li><li><p>SRE Mindset: Engineering for failure, prioritizing self-healing systems, and maintaining a 99.999% availability standard.
</p></li><li><p>Observability: Relying on telemetry, centralized logging, and ChatOps to proactively identify and resolve issues.
</p></li><li><p><b>About the Role
</b></p></li></ul><p>While the Architect determines <i>how </i>our platform should be designed, you are the engineer who actually builds the cloud infrastructure engine. As a Senior SRE focusing on Cloud Automation, you will partner closely with our enterprise CI/CD teams to seamlessly integrate our platform's capabilities into the developer workflow. You are responsible for building the infrastructure vending machines and the enterprise-grade infrastructure-as-code (IaC) modules that abstract away cloud complexity. You will empower internal developers to provision secure, compliant environments in minutes via self-service ChatOps workflows.
</p><p></p><p><b>Your Impact - Responsibilities
</b></p><ul><li><p>The Vending Machine: Build, maintain, and scale the automated provisioning workflows that orchestrate the creation of new, fully governed multi-account cloud environments.
</p></li><li><p>&quot;Golden Modules&quot;: Author, test, and maintain a library of pre-approved Infrastructure-as-Code templates that internal developers will consume. Ensure these modules enforce our strictest standards by default.
</p></li><li><p>Shift-Left Integrations: Partner with the enterprise CI/CD team to plug our platform's automated security scanning, Policy-as-Code evaluations, and cost-estimation checks directly into the developer's Pull Request process.
</p></li><li><p>Resilience &amp; Observability: Implement data-plane-driven automated failover mechanisms, and develop integrations that connect our provisioning tools to our enterprise WorkOS (Slack) for real-time operational intelligence.
</p></li></ul><p></p><p><b>Minimum Qualifications
</b></p><ul><li><p>Bachelor's degree in Computer Science, Computer Engineering, Software Engineering or relevant work experience
</p></li><li><p>7+ years of software engineering or Site Reliability Engineering experience in large-scale cloud environments.
</p></li><li><p>Expert-level proficiency in Infrastructure-as-Code (strictly Terraform) and managing state in highly distributed architectures.
</p></li><li><p>Strong programming skills in Python, Go, or similar languages used for building automation tooling and API integrations.
</p></li><li><p>Proven experience operating multi-region, active-active cloud environments and implementing automated disaster recovery tests.
</p></li><li><p>Deep understanding of GitOps workflows and integrating infrastructure guardrails into existing enterprise CI/CD pipelines.
</p></li></ul><p>*LI-Y
</p><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Software Engineering SMTS - Cloud Reliability

Affinity Solutions

<div><p>Affinity Solutions is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned transaction data from over 100 million consumers. Our proprietary AI technology, Comet&trade;, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit www.affinitysolutions.com to discover how we're shaping the future of consumer purchase insights.</p>
<p><b>About Your Role:</b></p>
<p>Affinity is seeking an accomplished Sr. Data Quality Engineer I to ensure the quality, reliability, and accuracy of data pipelines, APIs, integrations, and data products built by our software engineering teams. In this critical role, you will design and implement comprehensive quality testing frameworks, validate data integrity across complex systems, and partner with data engineers and software engineers to deliver trusted, high-performance solutions.
</p><p><b>Your Responsibilities:</b></p>
<ul><li><b>Quality Testing and Validation</b>
<ul><li>Design, develop, and execute comprehensive test strategies for data pipelines, APIs, integrations, and data products built by software engineering teams
</li><li>Develop and maintain automated testing frameworks for API validation, data quality checks, integration testing, and end-to-end pipeline testing</li>
<li>Perform thorough testing of RESTful APIs, including functional testing, performance testing, security testing, contract testing, and integration testing with third-party vendors</li>
<li>Validate data accuracy, completeness, consistency, and timeliness across ETL/ELT pipelines, data warehouses, and data lake environments</li>
<li>Test data clean room implementations, privacy controls, query constraints, and secure data-sharing mechanisms to ensure compliance with security standards</li>
<li>Create and maintain comprehensive test cases, test data sets, and testing documentation for all quality assurance activities<br>
</li></ul></li><li><b>Data Pipeline and Integration Testing</b>
<ul><li>Validate data transformations, aggregations, and calculations across Snowflake, AWS, and other cloud data platforms</li>
<li>Test integration pipelines, including LiveRamp XMI, Salesforce, AWS/AMC clean rooms, CAPI integrations, and MadConnect to ensure seamless data flow and accuracy</li>
<li>Perform regression testing on data pipelines to ensure changes do not introduce data quality issues or break existing functionality</li>
<li>Validate data lineage and metadata accuracy and ensure proper implementation of data governance controls</li>
<li>Test database performance, query optimization, and data structure implementations to identify bottlenecks and ensure optimal performance at scale (200BIL+ records)<br>
</li></ul></li><li><b>Automation and Monitoring</b>
<ul><li>Build and maintain CI/CD test automation pipelines using Jenkins and other DevOps tools to enable continuous quality validation</li>
<li>Implement automated data quality monitoring, anomaly detection, and alerting systems to proactively identify issues</li>
<li>Develop test harnesses and mock services for isolated component testing and integration validation</li>
<li>Create performance benchmarks and load testing scenarios to validate system scalability and reliability</li>
<li>Establish and track quality metrics, test coverage, defect rates, and SLAs to measure and improve testing effectiveness<br>
</li></ul></li><li><b>Compliance and Security Testing</b>
<ul><li>Validate implementation of data privacy regulations (GDPR, CCPA, HIPAA) and ensure compliance across all data products</li>
<li>Test security measures, including data encryption, masking, tokenization, role-based access controls (RBAC), and authentication mechanisms (OAuth, JWT, SSO)</li>
<li>Verify proper implementation of data access controls including aggregation constraints, projection policies, row access policies, column masking, and differential privacy</li>
<li>Conduct security testing on APIs and integrations to identify vulnerabilities and ensure adherence to security best practices<br>
</li></ul></li><li><b>Collaboration and Documentation</b>
<ul><li>Collaborate closely with senior data and software engineers (API and integrations) to understand requirements, identify test scenarios, and provide quality feedback early in the development cycle</li>
<li>Participate in code reviews, design discussions, and sprint planning to ensure quality is built into solutions from the start</li>
<li>Document test plans, test results, defects, and quality reports with clear, actionable insights for engineering teams</li>
<li>Provide technical mentorship to junior QA engineers and promote testing best practices across the organization</li>
<li>Partner with infrastructure teams to coordinate test environment setup and deployment validation<br>
</li></ul></li><li><b>Continuous Improvement</b>
<ul><li>Stay current with emerging testing technologies, tools, and methodologies in data quality, API testing, and test automation
</li><li>Identify opportunities to improve testing efficiency, reduce testing cycles, and enhance overall quality processes</li>
<li>Lead proof-of-concept initiatives to evaluate new testing tools and frameworks (Great Expectations, Soda Core, Postman, REST Assured, etc.)</li>
<li>Drive strategic recommendations to enhance data quality validation, testing coverage, and organizational quality maturity</li>
</ul></li></ul><p><b>Your Qualifications:</b></p>
<ul><li>Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related technical field; Master's degree preferred</li>
<li>5+ years of progressive experience in data quality engineering, QA engineering, or test automation with focus on data systems and APIs</li>
<li>Demonstrated track record of implementing comprehensive testing frameworks for enterprise-scale data platforms and APIs</li>
<li>Proven experience testing complex data pipelines, integrations, and RESTful APIs in production environments</li>
<li><b>Core Testing Competencies:</b>
<ul><li>Expert-level experience with API testing tools and frameworks (Postman, REST Assured, SoapUI, JMeter, Swagger/OpenAPI)</li>
<li>Strong proficiency in SQL for data validation, query testing, and database verification across large datasets</li>
<li>Advanced Python programming skills for test automation, data validation scripts, and custom testing tools (pytest, unittest)</li>
<li>Experience with data quality testing tools (Great Expectations, Soda Core, dbt tests, or similar)</li>
<li>Strong understanding of ETL/ELT testing methodologies and data pipeline validation techniques</li>
<li>Knowledge of test automation frameworks and CI/CD integration (Selenium, Jenkins, GitLab CI, GitHub Actions)</li>
<li>Experience with performance testing and load testing tools for APIs and data systems (JMeter, Gatling, Locust)</li>
</ul></li><li><b>Platform and Technology Experience:</b>
<ul><li>Hands-on experience testing in cloud platforms (AWS, Google Cloud Platform, or Azure)</li>
<li>2+ years of experience with Snowflake ecosystem, including testing SnowPipes, Streams, Views, stored procedures, and data models</li>
<li>Experience with AWS services testing (S3, Lambda, Airflow, Redshift, Athena, Glue)</li>
<li>Familiarity with data warehouses (Amazon Redshift, Google BigQuery, Snowflake) and testing data at scale</li>
<li>Knowledge of data clean room technologies and testing secure data shares using RBAC</li>
<li>Experience with version control systems (Git) and testing in CI/CD environments</li>
<li>Understanding of workflow orchestration tools (Apache Airflow, Prefect, Dagster) for pipeline testing</li>
</ul></li><li><b>API and Integration Testing:</b>
<ul><li>Extensive experience with RESTful API testing, including functional, integration, contract, security, and performance testing</li>
<li>Knowledge of API standards (OpenAPI/Swagger, OAuth 2.0, JWT, GraphQL); able to validate implementations</li>
<li>Experience testing third-party API integrations (LiveRamp, Salesforce, AWS/AMC, CAPI, MadConnect)</li>
<li>Understanding of API monitoring, logging, and observability solutions for quality validation</li>
</ul></li><li><b>Data Governance and Compliance Testing:</b>
<ul><li>Working knowledge of data privacy regulations (GDPR, CCPA, HIPAA); able to validate compliance</li>
<li>Experience testing data security implementations including encryption, masking, tokenization, and access controls</li>
<li>Understanding of data access controls testing (aggregation constraints, projection policies, row access policies, column masking, differential privacy)</li>
<li>Experience validating metadata management, data lineage, and data cataloging implementations</li>
</ul></li></ul><p><b>Additional Preferred Qualifications:</b></p>
<ul><li>Experience with distributed computing frameworks (Apache Spark, Hadoop) and testing data at scale (200BIL+ records)</li>
<li>Familiarity with BI tools (Thoughtspot, Sigma, Looker, Tableau) for validating data visualizations and reports</li>
<li>Knowledge of data modeling methodologies (dimensional modeling, data vault, 3NF) to inform testing strategies</li>
<li>Understanding of JavaScript/Node.js for API testing and test automation</li>
<li>Experience with data cataloging and governance platforms (Datahub, Openmetadata, Alation)</li>
</ul>
<p><b>Salary</b><b> Range</b>: $130,000 &ndash; $145,000<br>
<b>Office Hours:</b> 9am &ndash; 5:30pm</p>
<p>Benefits for full-time employees of Affinity Solutions begin on the first of the month following your date of hire with a generous employer contribution for medical, dental, and vision. In addition to company paid holidays, wellness time off, other wellness benefits, and employee discounts, you will also get employer paid life insurance and have the option to enroll into an employer-matched 401K Plan. We strongly encourage work/life balance by providing unlimited vacation days, available starting 90 days from your hire date as a team member.</p></div>

Sr. Data Quality Engineer I (37_2026.1)

Wells Fargo

<div><b>About this role:</b><br>
<br>
Wells Fargo is seeking a Lead Specialty Software Engineer within the Commercial and Corporate &amp; Investment Banking Technology organization. This is an exciting opportunity to join the team building next-generation solutions for Wells Fargo's Capital Markets technology organization. We're looking for engineers eager to be part of our automation, cloud, and Generative AI modernization journey. If you're passionate about tackling complex, mission-critical challenges using innovative technologies and strong engineering practices, this role is an excellent fit. This position is a senior developer role within the Prime Brokerage and Equity Finance &amp; Futures (EF&amp;F) Technology team. In this role you will join the team dedicated to the build-out of next-generation Prime Services trade processing and clearing capabilities, focusing on high throughput Market Maker Clearing, Financing workflows, and lifecycle automation. Success requires strong Java expertise, a solid foundation in server-side design principles, and the ability to architect, build, and deliver scalable microservices and foundational frameworks.<br>
<br>
<b>In this role, you will:</b><ul><li>
Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies</li><li>
Write high-quality, performant Java code using object-oriented principles and design patterns</li><li>
Solve complex problems requiring a solid grasp of business domains</li><li>
Ensure quality, maintainability, and extensibility of supported systems and risk applications</li><li>
Resolve coding, testing, and platform issues of a technically challenging nature</li><li>
Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives</li><li>
Mentor less experienced software engineers</li><li>
Collaborate and influence all levels of professionals including managers</li><li>
Leverage GenAI tools to produce high-quality code and maintain high productivity</li><li>
Keen eye to look at various technology processes and come up with proposals to solve it using AI technologies</li></ul><b>
Required Qualifications:</b><ul><li>
5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
5+ years of hands-on Core Java development with deep expertise in memory management, garbage collection tuning, multithreading, concurrency models, native I/O, and JNI integration</li><li>
3+ years designing and building distributed, multi-tiered systems with high-throughput, high availability, fault tolerance, and event-driven &amp; microservices-based architectures</li><li>
2+ years working with SQL databases like Oracle or SSL Server, including schema design and query optimization</li><li>
2+ years of experience in the securities industry with a solid understanding of equity derivatives (options, futures, swaps) and their full lifecycle</li></ul><b>
Desired Qualifications:</b><ul><li>
Solid understanding of AI-assisted development tools (e.g., GitHub Copilot) and modern IDEs</li><li>
Strong foundation in algorithms and data structures, with a focus on performance optimization</li><li>
Hands-on experience with modern SDLC frameworks, including Agile/Scrum, CI/CD pipelines, automated testing, and secure software development practices</li><li>
Proficient in design patterns, clean code principles, and scalable system design</li><li>
Familiarity with front-office risk systems, trading workflows, trade lifecycle integration, and products across flow trading, synthetics, exotics, convertibles, and prime brokerage</li><li>
Excellent communication and collaboration skills for effective front-office interaction</li><li>
Proven ability to thrive in high-pressure, fast-paced environments</li><li>
Bachelor's degree or higher in Computer Science, Engineering, or a related field</li><li>
Deep understanding of capital markets workflows, including trade capture, lifecycle management, regulatory reporting</li><li>
Experience leveraging Solace messaging for real-time, event-driven integration, enabling reliable publish/subscribe communication across heterogeneous platforms</li><li>
Exposure to GenAI-driven solutions for productivity improvement, anomaly detection, data mining, and surveillance</li></ul><b>
Job Expectations:</b><ul><li>
Ability to travel up to 10% of the time</li><li>
This position is not eligible for Visa sponsorship</li></ul><b>
Location:</b><ul><li>
150 E 42nd St. - New York, NY 10017</li><li>
Metro Park, 194 Wood Avenue South, Iselin, New Jersey 08830</li></ul><b>
Pay Range</b><br>
<br>
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.<br>
$191,000.00 - $305,000.00<br>
<b>Benefits
</b><br>
<br>
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul><b>
Posting End Date:</b><br>
5 Mar 2026<br>
<ul><li><b>Job posting may come down early due to volume of applicants.
</b></li></ul><br>
<b>We Value Equal Opportunity</b><br>
<br>
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.<br>
<br>
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.<br>
<br>
<b>Applicants with Disabilities</b><br>
<br>
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .<br>
<br>
<b>Drug and Alcohol Policy</b><br>
<br>
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.<br>
<br>
<b>Wells Fargo Recruitment and Hiring Requirements:</b><br>
<br>
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.<br>
<br>
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Specialty Software Engineer - Capital Markets

James Search Group

<div>
 <p>
  <strong>
   AI/ML Engineer
  </strong>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY
 </p>
 <p>
  <strong>
   Compensation:
  </strong>
  $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Global P&amp;C Insurance
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role and the company.
  </strong>
 </p>
 <p>
  James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
  <strong>
   AI/ML Engineer
  </strong>
  to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
  </li>
  <li>
   Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
  </li>
  <li>
   Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
  </li>
  <li>
   Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
  </li>
  <li>
   Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
  </li>
  <li>
   Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
  </li>
  <li>
   Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
  </li>
  <li>
   Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
  </li>
  <li>
   Familiarity with actuarial concepts or insurance-specific data models.
  </li>
  <li>
   Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
  </li>
  <li>
   Comfortable in a collaborative, fast-paced, and agile working environment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply today
  </strong>
  to help reshape the future of insurance through data and AI innovation.
 </p>
</div>


Machine Learning Engineer

Explore 198+ Automation engineer in New York this March. Find roles across top companies and apply now to boost your career.