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senior software engineer Jobs in San Francisco

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senior data engineer Jobs in San Francisco

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devops engineer

Veryon

<div>Description:

About Veryon
Veryon is the leading global provider of aviation software and information services, trusted by over 5000+ customers, 75,000 maintenance professionals, and 100+ OEMs across nearly 150 countries. Our mission is to deliver smarter, predictive technology solutions, including our AI platform, Veryon AIRE that maximizes aircraft uptime and operational efficiency for the world&rsquo;s most demanding aviation organizations.
At?Veryon, we are an?AI-forward company?focused on driving innovation and efficiency through emerging technologies. We prioritize hiring individuals who embrace AI, think creatively about its application, and are excited to continuously evolve alongside it.???
About the Role
We are seeking a Security Engineer I to help support the day to day operation and improvement of our security program, with a heavier focus on hands on implementation work across infrastructure, cloud, and core security tooling. This role will help close the gap between identifying security issues and getting the technical changes needed implemented.
This role will support security operations work such as alert and incident investigation, but a large part of the job will also be helping with infrastructure vulnerability remediation, cloud security configuration, administration of security tools, implementation of network and edge security controls, and general engineering support for security initiatives. This is an entry level role, but it is best suited for someone who wants real hands on technical exposure and is interested in learning how security work gets operationalized across cloud, infrastructure, compliance, and engineering.
 
 
Key Responsibilities<ul><li>
Configure and administer XDR(dashboard configurations, alert tuning, agent update coordination).</li><li>
Monitor, triage, and help investigate security alerts and incidents, including phishing, endpoint, and XDR related activity</li><li>
Assist with Harmony SASE policy exclusions, visibility improvements, troubleshooting, and general support of user traffic security controls</li><li>
Help with cloud security configuration reviews, hardening efforts, and reduction of unnecessary exposure across the environment (finding exposed endpoints, possible attack paths, etc and researching a solution to fix the risk.)</li><li>
Takes initiative to find ways to automate workflows.
</li><li>Support security driven technical remediation tied to compliance and audit related initiatives, including SOC 2, ISO 27001, and ISO 42001 efforts(gathering evidence, researching and planning remediations, etc)</li><li>
Work with IT, DevOps, engineering, and other internal teams to help move security recommendations into actual implemented changes</li><li>
Document procedures, findings, technical changes, and remediation work clearly and accurately</li><li>
Verification of security findings from customers and vulnerability reports.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in Cybersecurity, Information Technology, Computer Science, or a related field
</li><li>Internship, labs, projects, and/or up to 3 years of hands on experience in IT, software development, system administration, or network administration
</li><li>Experience with scripting or automation using Python, PowerShell, or similar languages
</li><li>Experience with basic network administration, system administration, software development or IT support.</li><li>
Exposure to basic phishing email analysis and EDR/XDR alert triage.</li><li>
Understanding of secure coding best practices such as OWASP top 10</li><li>
Understanding of Cloud security best practices</li><li>
Understanding of the incident response lifecycle</li><li>
Great communication skills</li></ul>
Preferred Qualifications:<ul><li>
Security+, CySA+, OSCP or other related certification</li><li>
Hands on Azure or AWS administration
</li><li>Experience with infrastructure as code</li><li>
Experience with vulnerability management</li><li>
Experience delivering and seeing projects through completion
</li></ul>Our Core Values:<ul><li>
Fueled by Customers: Customers are at the core of every decision.</li><li>
Win Together: Collaboration is our competitive edge.</li><li>
Make It Happen: No excuses. Just outcomes.</li><li>
Innovate to Elevate: We boldly challenge what&rsquo;s standard and lift what&rsquo;s possible.</li></ul></div>

SecOps Engineer

Distyl

<div>
 
 About Distyl AI
 
 
 
 Distyl is an applied AI technology company partnering with the world&rsquo;s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
 
 
 We research and deploy technologies that power AI-native operations &mdash; both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations &mdash; from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
 
 
 Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
 
 
 
 What We Are Looking For
 
 
 
 As a Software Engineer Back End you will help design, build, and optimize Distillery&mdash;our AI-native platform that powers real-world enterprise AI systems for diverse F500 workflows.
 
 
 Your role will involve developing scalable AI infrastructure, ensuring system reliability, and collaborating with engineers and business leaders to solve some of the most complex AI deployment challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build &amp; Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
 </li>
 <li>
 Develop Cloud-Native Microservices &amp; Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments. Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
 </li>
 <li>
 Optimize System Performance &amp; Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
 </li>
 <li>
 Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities. Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)
 </li>
 <li>
 Proficiency in Backend &amp; Systems Engineering. Expertise in Python, Java, Golang, or C++ for building scalable, high-performance systems
 </li>
 <li>
 Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
 </li>
 <li>
 Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
 </li>
 <li>
 Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus
 </li>
 <li>
 Travel: Ability to travel 10-20%
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 The base salary range for this role is $150K &ndash; $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
 </li>
 <li>
 100% covered medical, dental, and vision for employees and dependents
 </li>
 <li>
 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
 </li>
 <li>
 Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
 </li>
 <li>
 Ownership of high‑impact projects across top enterprises
 </li>
 <li>
 A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence
 
 
 </li>
 </ul>
 Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday&ndash;Thursday) in‑office.
 
 
 
 
 We&rsquo;re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we&rsquo;re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we&rsquo;ve completed our review, regardless of the decision.
 
 
</div>

Software Engineer - Back End

JPMorganChase

<div>JOB DESCRIPTION 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JP Morgan Chase within the Corporate Sector, Infrastructure Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job Responsibilities<ul><li>
Develop creative software solutions by designing, building, and troubleshooting technical challenges, applying innovative approaches to solve complex problems.</li><li>
Write secure, high-quality production code and conduct code reviews and debugging for team members.</li><li>
Identify and automate remediation of recurring issues to enhance the operational stability of software applications and systems.</li><li>
Collaborate with AI teams to translate computational requirements into effective infrastructure solutions.</li><li>
Monitor, manage, and optimize cloud resources to ensure performance and cost efficiency.</li><li>
Design and implement continuous integration and delivery (CI/CD) pipelines for machine learning workloads.</li><li>
Develop automation scripts and use infrastructure as code to streamline deployment and management processes.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification in software engineering and at least 5 years of relevant experience.</li><li>
Proven experience in system design, application development, testing, and maintaining operational stability.</li><li>
Advanced proficiency in one or more programming languages such as Go or Java.</li><li>
Experience with Kubernetes and containerization technologies (e.g., Docker).</li><li>
Ability to independently address design and functionality challenges with minimal supervision.</li><li>
Experience with infrastructure as code tools such as Terraform or Ansible.</li><li>
Solid understanding of cloud architecture, including microservices, IaaS, storage, security, and networking concepts.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Basic understanding of NVIDIA GPU infrastructure software (e.g., DCGM, BCM, Dynamo Inference).</li><li>
Familiarity with observability tools such as Prometheus and Grafana.</li><li>
Experience working with public cloud platforms such as AWS or GCP.</li></ul>
FEDERAL DEPOSIT INSURANCE ACT:
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase&rsquo;s review of criminal conviction history, including pretrial diversions or program entries.
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer- AI Platform Engineer

Okta

<div>Secure Every Identity, from AI to Human 
 
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. 
 
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations do two things - secure and manage their extended enterprise, and transform their customers' experiences. With over 14,000 customers, 7000+ app integrations, and well over 200 million registered users, we are only getting started.

The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale.

We're looking for a staff-level Platform engineer to join a team of highly skilled and talented team players who're proud of what they own and deliver. Our elite team is fast, creative, and flexible; with a weekly release cycle and individual ownership, we expect great things from our engineers and reward them with stimulating new projects, new technologies, and the chance to have significant equity in a company that is changing the cloud computing landscape forever. 


You Will
<ul><li>
Core contributor to Okta&rsquo;s FedRAMP initiative</li>
<li>Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch, Docker, Terraform on AWS)</li>
<li>Drive evaluation, development, and rollout of new common microservices</li>
<li>Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business.</li>
<li>Evaluate existing systems to evolve them for serving in specialized circumstances to support Okta's future business needs</li>
<li>Conduct design and code reviews. Ascertain that proposed designs consider scale, redundancy, and multi-tenancy. Ensure high programming standards by writing unit and functional tests.</li>
<li>Monitor, troubleshoot, and fix services and frameworks the team owns</li>
<li>Evaluate system performance and resolve bottlenecks</li>
<li>Provide technical guidance and mentorship to junior developers</li>
<li>Collaborate with architects, QA, product owners, security and operations engineers</li></ul> 


You Have
<ul><li>
Immense passion for doing the right thing to help Okta's technology stay ahead of its anticipated business growth</li>
<li>Solid technology chops in architecting, implementing, tuning, and debugging some of the largest cloud deployments in the enterprise world</li>
<li>A good understanding of computer science fundamentals such as data structures and algorithms&rdquo;</li>
<li>Bachelor's degree in computer science or equivalent; master's preferred.</li>
<li>7+ years of extensive programming experience in a modern programming language like Go, Java, or C++ especially in backend services. Go is preferred.</li>
<li> 4+ years experience working with PostgreSQL or equivalent relational database systems. Experience with designing and querying databases with optimization in mind is a plus.</li>
<li> Experience with Cloud fundamental building blocks like IaC, Observability, Secrets Management, CI / CD pipelines, secure coding practices, and compliance.</li>
<li> Demonstrated experience of working with REST and thorough understanding of its fundamentals</li>
<li> Experience with AWS, Redis, Elasticsearch / OpenSearch, Kinesis, Kafka, and Docker</li>
<li> Knowledge of network security, authentication, and authorization</li>
<li> Demonstrably followed best software engineering principles</li>
<li> Familiarity with Agile software development process</li>
</ul>
Education: Bachelor's degree in computer science or equivalent

This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire. 


Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment. 


#LI-Hybrid

#LI-LSS1

requisition ID- P24954_3414076 
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000&mdash;$267,000 USD 
The Okta Experience
<ul><li>
Supporting Your Well-Being</li>
<li>Driving Social Impact</li>
<li>Developing Talent and Fostering Connection + Community</li>
</ul>
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. 
 
Okta 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, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Staff Software Engineer - PAM Core

Kodiak

<div><div>Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.</div><div>

Kodiak is seeking Machine Learning Engineers focussing on model deployment to help build the intelligence that powers the Kodiak Driver. Our ML teams work across perception, prediction, planning, and AI infrastructure to turn real-world driving data into models that enable safe and scalable autonomous trucking.

In this role, you will design and deploy machine learning systems that improve our vehicles' ability to understand the world, predict the behavior of other road users, and make safe driving decisions. You will collaborate closely with robotics, autonomy, and infrastructure teams to continuously improve the performance of our autonomy stack using large-scale data from our growing fleet.
This is a high-impact opportunity to work on cutting-edge AI systems operating in the real world, where every mile driven improves our models and brings autonomous trucking closer to global deployment. 
 
In this role, you will:</div>
<ul><li>Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.</li>
<li>Help identify and achieve parity between onboard and deployed offboard models using validation on HIL</li>
<li>Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.</li>
<li>Analyze real-world driving logs to identify edge cases and improve model robustness and safety.</li>
<li>Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.</li>
<li>Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak's fleet.</li>
</ul><div>What you'll bring:</div>
<ul><li>MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience. 
Strong experience deploying machine learning or deep learning systems in production environments.</li>
<li>Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.</li>
<li>Experience working with large-scale distributed training systems.</li>
<li>Solid understanding of optimization, and machine learning fundamentals.</li>
<li>Strong software engineering fundamentals including testing, debugging, and system design.</li>
<li>Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.</li>
</ul>
What we offer:
<ul>
<li>Competitive compensation package including equity and annual bonuses</li>
<li>Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)</li>
<li>MetLife Legal Services, Identity &amp; Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, &amp; Critical Illness Insurance</li>
<li>Flexible PTO, 10 paid holidays, and generous parental leave policies</li>
<li>Our office is centrally located in Mountain View, CA</li>
<li>Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging</li>
<li>Long Term Disability, Short Term Disability, Life Insurance</li>
<li>Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)</li>
<li>Fidelity 401(k)</li>
<li>Commuter, FSA, Dependent Care FSA, HSA</li>
<li>Various incentive programs (referral bonuses, patent bonuses, etc.)</li>
</ul><div></div><div>
<div>At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.</div>
<div></div>
<div>In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate's residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.</div>
<div></div>
<div>We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact careers@kodiak.ai with &quot;Separate Review Request&quot; in the email subject line.</div></div></div>

Machine Learning Engineer - Deployment

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. 
 
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You&rsquo;ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. 
 
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. 
 
Key job responsibilities 
As an experienced technology professional, you will be responsible for:
 
<ul><li>Designing complex, scalable, and secure AWS solutions to deliver customer business outcomes (CBOs)
</li><li>Providing technical guidance and best practices during pre-sales and implementation phases</li><li>Collaborating with Account Managers and Customers to ensure proposed solutions are realistic and achievable</li><li>Acting as a trusted advisor to customers on industry trends and emerging technologies</li><li>Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts</li></ul> 
About the team 
ABOUT AWS: 
 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture
 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of cloud architecture and solution implementation experience</li><li>Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field</li><li>5+ years of experience in SAP Technical or Functional areas</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing AWS services in a variety of distributed computing environments</li><li>Experience in automation through devops scripting (e.g. shell, python, ruby, powershell)</li><li>Knowledge of security and compliance standards including HIPAA and GDPR</li><li>Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred</li><li>Experienced in proposing solutions, developing estimates and responding to request for information</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually 
USA, NY, New York - 169,000.00 - 228,600.00 USD annually 
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually 
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually</div>

Sr Delivery Consultant – SAP GenAI/ML, Professional Services, SAP

Amaris Consulting

Job description
 
The Opportunity
 
Amaris Consulting is looking for a Software / Machine Learning Engineer to join a world-class engineering team working on cutting-edge autonomous and operator-assist systems. You will contribute to building production-grade autonomy software, from perception and computer vision to real-time decision-making; on both robotic and manned platforms. A high-impact role at the intersection of AI, robotics, and safety-critical systems.
 
Your Key Responsibilities
 
Design, implement and test algorithms for autonomy and advanced operator-assist systems
 Develop and maintain production-quality C++ and Python code for autonomy features
 Collect, process and analyze data from robotic and manned platforms to improve ML models and system performance
 Participate in the full software development lifecycle using Agile practices
 Contribute to architecture decisions, design reviews, code reviews and technical documentation, including design specs, test plans and safety procedures
 
Skills And Attributes For Success
 
Solid AI / ML / Deep Learning background applied to autonomy or operator-assist systems
 Strong experience in computer vision — image processing, object detection, tracking, scene understanding
 Hands-on experience with TensorFlow and/or PyTorch, and OpenCV for perception and sensor data processing
 Proficiency in C++ and Python for production-grade software development
 Extensive experience with Agile SDLC using Azure DevOps or Jira
 Comfortable with cloud compute and storage; AWS EC2, S3, Batch, for training, testing and deployment workflows
 Experience developing, integrating and testing complex autonomy software under safety and timing constraints
 Degree in Computer Science, Engineering, Robotics or a related field
 
Ideally, You'll Also
 
Have familiarity with ROS or AIS for robotics software development
 Have experience with NVIDIA hardware for accelerated ML workloads
 Be comfortable working across multiple subsystems and debugging complex cross-system issues
 Have exposure to safety-critical software development standards and practices
 
What We Look For
 
A curious and rigorous engineer who thrives at the intersection of AI research and real-world deployment. You write clean, reliable code, take ownership of your work end to end, and communicate clearly across robotics, systems and product teams. You are energized by hard problems and motivated by seeing your algorithms perform in the real world, not just on paper.
 
Why choose us
 
An international community bringing together more than 110 different nationalities
 An environment where trust is central: 70% of our leaders started their careers at the entry level
 A strong training system with our internal Academy and more than 250 modules available
 A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)
 
Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
 
Who are we?
 Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
 
At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
 
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
 
Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
 
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
 
As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
 We look forward to meeting you!

Software / Machine Learning Engineer - Autonomous Systems

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