software engineer

data engineer

ai engineer

ai engineer ii

backend engineer

python engineer

WW International, Inc. (Weight Watchers)

<div><div><h3 class="jobSectionHeader">WeightWatchers is a global digital health company.</h3>

WeightWatchers is a global digital health company and the world's #1 doctor-recommended, clinically studied behavioral weight health program. For sixty years, we have led the industry by blending science and community to help millions of people build sustainable healthy habits.

As the science of weight health rapidly evolves, so does WeightWatchers. We are redefining the category by developing new clinical pathways for GLP-1 medication access, creating specialized behavioral programs for members on weight-loss medications, and integrating medical care with our proven habit-change framework. By combining these clinical breakthroughs with our digital-first community, we are uniquely positioned to lead the future of weight health care.</div>
We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Data Enablement: Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.</li>
<li>Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and modular.</li>
<li>Cross-Functional Collaboration: Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.</li>
<li>Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.</li>
<li>End-to-End Ownership: Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.</li>
<li>Operational Excellence: Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.</li>
<li>Technical Leadership: Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.</li>
<li>Snowflake Expertise: Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.</li>
<li>Technical Mastery:</li>
<li><ul><li>Advanced Software Engineering (Python): Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.</li>
<li>Data Modeling &amp; SQL Mastery: Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.</li>
<li>Infrastructure &amp; Automation: Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.</li>
<li>Workflow Orchestration: Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.</li>
<li>Observability &amp; Reliability: Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.</li>
</ul></li><li>Operational Maturity: Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.</li>
<li>Education: BS/MS in Computer Science, Information Systems, or a related technical field.</li></ul><div> 
At WeightWatchers, our mission is to build a worldwide community connected by healthy habits. If that resonates with you, then we would love to talk. WeightWatchers values developing community within our employee population as well. We have a hybrid work environment to allow our employees to find the right work-life balance.

It is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.

By agreeing to participate in our process, you agree that any information we collect is subject to our Privacy Policy. 

<div>
<div>Maryland</div>
Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a polygraph examination or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.</div>
<div></div>
<div>Massachusetts</div>
<div>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div> 
<div>
<div></div><div>WeightWatchers complies with all applicable Rhode Island Workers' Compensation laws (Chapters 29-38 of the R.I. General Laws). Eligible employees are covered by worker's compensation insurance for work-related injuries or illness.</div>
<div></div>
</div><h3 class="jobSectionHeader">RECRUITMENT SECURITY &amp; FRAUD PREVENTION</h3>

At WeightWatchers, we prioritize the security of our candidates. To ensure you are communicating with a legitimate representative of our team, please keep the following security standards in mind:
<ul>
<li>Verified Email Domain: All official correspondence from our recruiting team will originate from an @ww.com email address.</li>
<li>Live Engagement: Our hiring process requires live interaction. We do not conduct interviews or extend employment offers solely through text message, chat apps, or automated email-only exchanges.</li>
<li>Financial Integrity: WeightWatchers will never ask for any form of payment from a candidate. We will never send you a check with instructions to purchase equipment or &quot;start-up kits&quot; on our behalf.</li>
<li>Secure Data Collection: Sensitive personal information (such as banking or identity tax info) is only requested through our official, secure onboarding portal after a formal offer has been extended, never during the interview phase.</li>
</ul>
Stay Vigilant: If you are contacted by someone claiming to represent WeightWatchers and the process deviates from these standards, please do not share any personal information. You can verify any open position by visiting our official careers page at https://job-boards.greenhouse.io/ww</div></div>

Senior Data Engineer

Vistar Media

<div>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
 
 
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together. 
 
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.<ul><li>
Job Responsibilities:<ul><li>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</li><li>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</li><li>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</li><li>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</li><li>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</li><li>
Also responsible for other duties/projects as assigned by business management as needed</li></ul> 
Education and Work Experience:<ul><li>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</li><li>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</li><li>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</li><li>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</li><li>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</li><li>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</li><li>
Familiarity with DevOps practices and tools for DataOps.</li><li>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</li><li>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</li></ul></li></ul>
Base Pay Range: $105,100 - $189,600<div></div> 
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.<div></div> 
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</div>

Senior Data Engineer, Big Data and Cloud

Capital One

<div>Lead Machine Learning Engineer, Card Tech
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
What You&rsquo;ll Do:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:<ul><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications</li><li>
Retrain, maintain, and monitor models in production</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI</li><li>
Use programming languages like Python, Scala, or Java</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 2 years of experience building, scaling, and optimizing ML systems</li></ul>
Preferred Qualifications:<ul><li>
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</li><li>
2+ years of experience developing performant, resilient, and maintainable code</li><li>
2+ years of experience with data gathering and preparation for ML models</li><li>
2+ years of people leader experience</li><li>
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li></ul>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Lead Machine Learning Engineer, Card Tech

Kontrora

<h3>About the role</h3>We are seeking a dedicated Backend Engineer to join our remote team on a part-time basis. In this role, you will be instrumental in developing, enhancing, and maintaining backend systems that support our core applications. You will collaborate with cross-functional teams to deliver robust solutions that meet the needs of our users.<h3>Key responsibilities</h3><ul><li>Design, develop, and maintain scalable backend services and APIs to support application functionality.</li><li>Collaborate with frontend engineers and product managers to create seamless integrations between the backend and user interfaces.</li><li>Participate in code reviews and contribute to team best practices, ensuring high-quality and maintainable code.</li><li>Troubleshoot and resolve performance issues, bugs, and other technical challenges in a timely manner.</li><li>Write and maintain comprehensive documentation for backend services, APIs, and system architecture.</li><li>Continuously learn and apply best practices in software development, including testing, version control, and deployment processes.</li></ul><h3>Requirements</h3><ul><li>Proficiency in at least one modern programming language such as Python, Java, Node.js, or Ruby.</li><li>Familiarity with web frameworks and RESTful API design principles.</li><li>Understanding of database management systems, both SQL and NoSQL, and their application in backend architectures.</li><li>Basic knowledge of cloud services and platforms (e.g., AWS, Google Cloud, Azure) as they relate to backend development.</li><li>Strong problem-solving skills and the ability to work independently in a remote work environment.</li><li>Effective communication skills to collaborate with team members and stakeholders.</li></ul><h3>Nice to have</h3><ul><li>Experience with Agile development methodologies and version control systems, particularly Git.</li><li>Exposure to microservices architecture and containerization technologies like Docker.</li><li>Familiarity with CI/CD pipelines and automated testing frameworks.</li><li>Interest in learning about new technologies and applying them to improve our backend systems.</li><li>Prior involvement in open-source projects or contributions to community forums.</li></ul><h3>Why join us</h3>Joining our team means becoming part of an innovative and collaborative environment where your ideas and contributions will be valued. You will have the opportunity to work alongside talented professionals who are passionate about technology and committed to growth. With flexible working hours and a supportive culture, you will be able to balance your professional and personal life while enhancing your skills and advancing your career in backend engineering.

Backend Engineer

The Museum of Modern Art

<div>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.

Responsibilities:
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
Requirements:
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
Reports to: Director of Engineering

Salary Range: Minimum of $140,000 to a maximum of $160,000 per annum

Application instructions: To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.

Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).
Equal Opportunity Employer 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

Qureos

About the company: We build AI hiring agents. They deploy inside the enterprise systems a company already runs, or on the Qureos platform itself for teams who would rather have the whole hiring stack in one place. Either way the agents do the work recruiting teams have always done by hand, from sourcing and screening to interviewing and shortlisting, with speed and consistency no agency or traditional ATS can match. We are a Seed-stage startup backed by Prosus Ventures and COTU Ventures, having raised $5M to accelerate the future of AI-powered hiring. Trusted by more than 1,000 enterprise and public sector organizations, we're scaling rapidly as we build the next generation of AI hiring agents. Operating in a market where every unfilled role and every slow hiring loop costs real money, we are building the future of AI-powered hiring. Our agents let companies run high-volume hiring end to end without ripping out the systems their teams already live in. About the Role As a Forward Deployed Engineer, you will sit at the intersection of engineering, AI, and customer impact. You will work directly with customers to understand how they hire, find the parts of that process worth handing to an agent, and then design, build, and deploy those agents either into the customer's existing enterprise stack or onto the Qureos platform, depending on how they want to run. <ul><li>You will partner closely with customers and Qureos's product and engineering teams to customise agent workflows, improve agent performance, and bring what you learn in live deployments back into the core platform.</li><li>This role is ideal for an engineer who enjoys building production systems, working inside someone else's environment, solving ambiguous problems, and shaping how AI actually gets used in hiring.</li></ul> What You'll Do <ul><li>Embed directly with customers to understand their hiring processes, the systems those processes run on, and where an agent can take over.</li><li>Design, build, and deploy AI hiring agents that source, screen, interview, and move candidates through the funnel.</li><li>Ship those agents into the customer's existing enterprise environment, or onto the Qureos platform for customers who want the all-in-one setup.</li><li>Develop and maintain the infrastructure behind the agents, including APIs, integrations with enterprise ATS and HRIS systems, monitoring, and feedback loops.</li><li>Translate customer requirements into scalable technical solutions and production-ready deployments.</li><li>Collaborate with product and engineering teams to influence roadmap decisions based on what you see in the field.</li><li>Identify patterns across customer deployments and turn one-off integration work into something the platform supports natively.</li><li>Work across engineering, product, and customer teams to ensure successful adoption and long-term impact.</li><li>Operate independently in fast-moving environments where ownership and initiative are highly valued.</li></ul> What You'll Bring <ul><li>3+ years of software engineering experience, preferably with backend, infrastructure, or systems-focused development.</li><li>Strong programming experience in Python (experience with TypeScript/JavaScript is a plus).</li><li>Experience working with cloud platforms such as AWS, GCP, or Azure.</li><li>Ability to design and build reliable production systems, including inside environments you do not control.</li><li>Strong communication skills with the ability to work with both technical and non-technical stakeholders.</li><li>Experience working directly with customers, partners, or cross-functional teams is a plus.</li></ul> Bonus: experience with AI agents, large language models (LLMs), vector databases, prompt engineering, retrieval-augmented generation (RAG), voice agents, or integrating with enterprise ATS and HRIS platforms. Comfortable working in dynamic environments with changing priorities and high ownership. Why Join Us You'll be part of a team building a category-defining AI company in a market that has barely started to change. We move fast, we ship, and we work close to the customer. If you are excited about building AI agents that do real work, deploying them into the systems enterprises actually run, and shaping how hiring gets done, we'd love to hear from you.

Forward Deployed Engineer

IDBNY

<div>SIEM Engineer &ndash; Job Description

Role Overview

The SIEM Engineer is responsible for designing, implementing, maintaining, and optimizing the organization's Security Information and Event Management (SIEM) platform. This role supports Security Operations by developing detection use cases, integrating log sources, improving threat visibility, and enhancing incident response capabilities across on-premises, cloud, and hybrid environments. The SIEM Engineer works closely with SOC analysts, incident responders, threat intelligence teams, infrastructure teams, and security leadership to strengthen the organization's cyber defense posture.

Key Responsibilities
<div>
<ul><li>SIEM Administration &amp; Engineering</li></ul>
</div><ul><li>Manage and maintain enterprise SIEM platforms.</li>
<li>Configure and optimize log ingestion, normalization, parsing, and retention.</li>
<li>Integrate security data sources including:</li>
<li><ul><li>Firewalls</li>
<li>IDS/IPS</li>
<li>EDR/XDR</li>
<li>Active Directory / Entra ID</li>
<li>Cloud platforms (Azure, AWS, GCP)</li>
<li>Network and endpoint security solutions</li>
</ul></li><li>Ensure availability, scalability, and performance of SIEM infrastructure.</li>
</ul><div><ul><li>Detection Engineering &amp; Use Case Development</li></ul>
</div><ul><li>Develop and maintain correlation rules, analytics, and detection content.</li>
<li>Create use cases aligned with MITRE ATT&amp;CK techniques.</li>
<li>Tune detection rules to reduce false positives and improve alert fidelity.</li>
<li>Work with Purple Team, Red Team, and Threat Intelligence teams to improve detection coverage.</li>
<li>Implement new monitoring capabilities for emerging threats.</li>
</ul><div><ul><li>Security Monitoring &amp; Incident Support</li></ul>
</div><ul><li>Support SOC operations through advanced threat detection and alert analysis.</li>
<li>Assist incident responders during investigations.</li>
<li>Correlate events across multiple technologies to identify malicious activity.</li>
<li>Perform root cause analysis and recommend containment improvements.</li>
<li>Develop dashboards and reporting for operational visibility.</li>
</ul><div><ul><li>Threat Hunting &amp; Threat Intelligence Integration</li></ul>
</div><ul><li>Develop hunting queries to identify malicious behavior not detected by automated alerts.</li>
<li>Integrate threat intelligence feeds into the SIEM platform.</li>
<li>Create indicators of compromise (IOC) monitoring and enrichment processes.</li>
<li>Identify suspicious trends and emerging attack patterns.</li>
</ul><div><ul><li>Automation &amp; Optimization</li></ul>
</div><ul><li>Automate SIEM administration and monitoring tasks using scripting.</li>
<li>Integrate SIEM with SOAR platforms and ticketing systems.</li>
<li>Develop workflows for alert enrichment, escalation, and incident response.</li>
<li>Improve operational efficiency through automation and orchestration.</li>
</ul><div><ul><li>Governance, Compliance &amp; Reporting</li></ul>
</div><ul><li>Support regulatory and audit requirements.</li>
<li>Maintain SIEM documentation, runbooks, and standards.</li>
<li>Produce security metrics and executive reporting.</li>
<li>Ensure log retention and monitoring practices meet compliance requirements.</li>
</ul>
Required Qualifications

Experience
<ul>
<li>5+ years of cybersecurity experience.</li>
<li>3+ years managing and engineering SIEM platforms.</li>
<li>Experience supporting SOC operations and incident response.</li>
<li>Experience in financial services or regulated industries preferred.</li>
</ul>
Technical Skills
<ul>
<li>Expertise in platforms such as:</li>
<li><ul><li>Microsoft Sentinel</li>
<li>Splunk</li>
<li>QRadar</li>
<li>LogRhythm</li>
<li>Elastic Security</li>
<li>CrowdStrike NG-SIEM</li>
<li>Cribl</li>
</ul></li><li>Strong knowledge of:</li>
<li><ul><li>Windows and Linux security logs</li>
<li>Network security monitoring</li>
<li>EDR/XDR technologies</li>
<li>Threat hunting methodologies</li>
<li>MITRE ATT&amp;CK framework</li>
<li>Data ingestion pipelines</li>
</ul></li><li>Scripting experience:</li>
<li><ul><li>KQL</li>
<li>PowerShell</li>
<li>Python</li>
<li>SQL</li>
</ul></li>
</ul>Security Knowledge
<ul>
<li>Log management and event correlation.</li>
<li>Detection engineering.</li>
<li>Threat intelligence.</li>
<li>Incident response processes.</li>
<li>Vulnerability management concepts.</li>
<li>Zero Trust security principles.</li></ul> 


Preferred Certifications
<ul>
<li>Microsoft Certified: Security Operations Analyst (SC-200)</li>
<li>Microsoft Sentinel Specialty</li>
<li>Splunk Enterprise Security Certified Admin</li>
<li>GIAC Certified Incident Handler (GCIH)</li>
<li>GIAC Certified Intrusion Analyst (GCIA)</li>
<li>CISSP</li>
</ul>
Compensation 
The expected annual salary for this position is between $140,000 and $160,000 at the start of employment. A salary offer is determined on an individualized basis, taking into consideration factors such as an individual's skills and experience. In addition to base salary, our total rewards package also includes eligibility for an annual bonus, medical, pharmacy, dental, and vision plans, life and disability insurance, employee wellness program, retirement and savings plans with employer contributions, generous holiday and paid time off schedules, parental leave, and tuition reimbursement. 
Additional Information 
The Bank Will Make Reasonable Accommodations To The Following Employees To Allow Them To Perform The Essential Functions Of Their Position, Except Where Doing So Would Result In Undue Hardship To The Bank
<ul>
<li>Those with a known mental or physical disability.</li>
<li>Pregnant individuals and/or individuals with pregnancy or childbirth-related medical conditions.</li>
<li>Victims of domestic violence, sex offenses or stalking.</li>
<li>Employees with religious observance and practice obligations.</li>
</ul>
Any employee who believes he or she needs an accommodation for any of the above reasons should contact their supervisor or a member of Human Resources to request such an accommodation. In each case, the Bank will engage in a good faith written or oral dialogue concerning the individual's accommodation needs; potential accommodations that may address the individual's accommodation needs, including alternatives to a requested accommodation; and the difficulties that such potential accommodations may pose for the employer. 
The Bank retains the ultimate discretion to choose the appropriate reasonable accommodation. Upon reaching a final determination at the conclusion of the cooperative dialogue, the Bank will provide the requesting individual with a written final determination identifying any accommodation granted or denied. In addition, the Bank will maintain any information regarding the employee's request and status in the strictest confidence, except as requested by the employee, as required on a need-to-know basis or as otherwise required by law. 
Disclaimer 
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. 
All your information will be kept confidential according to EEO guidelines. 
We are operating on a Hybrid schedule. 
NO AGENCIES PLEASE. 
IDB BANK, INCLUDING ITS SUBSIDIARIES AND DIVISIONS, PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, SEXUAL ORIENTATION, NATIONAL ORIGIN, AGE, DISABILITY, GENETIC STATUS, CITIZENSHIP STATUS, MARITAL STATUS, MILITARY OR VETERAN STATUS, CURRENT UNEMPLOYMENT OR ANY OTHER LEGALLY PROTECTED CATEGORY IN ACCORDANCE WITH APPLICABLE FEDERAL, STATE AND LOCAL LAW. NOTHING IN THIS SITE CONSTITUTES A PROMISE OR OFFER OF EMPLOYMENT. 
Kindly review our Privacy Notice and GLBA Consumer Privacy Notice. 
Kindly review our Privacy Notice and GLBA Consumer Privacy Notice.<div> 
Kindly review our Privacy Notice and GLBA Consumer Privacy Notice.</div></div>

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