aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

analytics data engineer

machine learning engineer

Software Engineer, Machine Learning

TikTok

<div></div><div><div>Seattle
<div></div>Regular
<div></div>Product - Data analysis
<div></div>Job ID: A152804
</div><div>Responsibilities</div>
<div>Team Intro The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join our product and operations team, together we can build an e-commerce ecosystem that is innovative, secure and intuitive for our users. Responsibilities: - Work with large and complex datasets to solve a wide array of challenging problems using different analytical and statistical approaches - Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our E-commerce product - Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends - Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations - Develop data pipelines and dashboards to enhance data infrastructure - Develop ML models to find potential creators, measuring LTV of users, etc - Cooperate with PM/Ops/R&amp;D and other cross-functional teams to inform, influence, support, and execute product strategy and investment decisions</div>
<div>Qualifications</div>
<div>Minimum Qualifcations - Master degree or above, majoring in mathematics, statistics, computer science - Proficient in SQL, tableau and familiar with Python or R for modeling project - 3+ years of working experience in data science, machine learning - Effectively communicate and present results of data analyses to stakeholders to drive business impact Preferred Qualifications - Ecommerce experience - Self-driven, be able to work with cross-functional teams</div>
<div>Job Information</div>
<div><div>【For Pay Transparency】Compensation Description (Annually)<div><br>
<div><p>The base salary range for this position in the selected city is $136800 - $228000 annually.<br>
</p><p>Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.<br>
</p><p>Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).<br>
</p><p>The Company reserves the right to modify or change these benefits programs at any time, with or without notice.<br>
</p><p>For Los Angeles County (unincorporated) Candidates:<br>
</p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:<br>
</p><p>1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;<br>
</p><p>2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and<br>
</p><p>3. Exercising sound judgment.<br>
</p></div></div></div><div>About USDS<div><br>
<div><p>TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.<br>
</p><p></p><p>On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.<br>
</p></div></div></div><div>Why Join Us<div><br>
<div><p>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br>
</p><p>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an &quot;Always Day 1&quot; mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br>
</p><p></p><p>Diversity &amp; Inclusion<br>
</p><p>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br>
</p></div></div></div><div>USDS Reasonable Accommodation<div><br>
<div><p>USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA</p></div></div></div></div></div><p></p>

Data Scientist, Ecommerce - USDS

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Want to help drive the success of Machine Learning technologies at AWS? We seek a Software Development Engineer II for the ML Infrastructure team to build the platforms that guarantee top performance of AWS ML and HPC technologies. Our performance data directly influences launch<br>
decisions for new EC2 instance types and has visibility at senior leadership.<br>
<br>
Join us as we expand the AWS offerings for AI, including Trainium, Neuron and the Elastic Fabric Adapter (EFA). You'll build CI/CD systems, orchestrate GPU clusters, create performance dashboards, and develop AI-powered automation - all to ensure latest ML networking software ships with confidence.<br>
<br>
Key job responsibilities<br>
Build and maintain infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale across multiple GPU instance types. Use Jenkins, internal Amazon CI/CD tools, Linux, and public AWS products to automate testing and delivery of ML networking libraries - including collective communication frameworks, network transport layers, and GPU communication libraries. Write Python code that orchestrates large clusters, runs benchmarks and ML applications across a matrix of instance types, operating systems, and<br>
software stack versions. Use AWS Managed Grafana and Athena to digest performance data and build dashboards that catch functional and performance regressions before they reach customers. Build automation using LLMs to analyze test failures and surface actionable insights to developers. Contribute to cross-team readiness for new instance type launches by delivering performance data that shapes go/no-go decisions. Manage the complexity of infrastructure covering many instance types, software stacks, Linux operating systems, and latest releases
<br>
and make it easy to evolve.<br>
<br>
A day in the life<br>
You write Python to orchestrate test workloads across large GPU clusters and TypeScript with CDK to ensure all infrastructure is code, reviewed and committed to automated pipelines. You manage shared development clusters using SLURM and AWS ParallelCluster, supporting multiple teams while keeping costs down. You build automation that analyzes nightly test results and surfaces regressions to developers. You write crisp designs for your projects, communicating clearly to your peers what you will build and why.<br>
<br>
About the team<br>
We are part of Annapurna Labs, a subsidiary in AWS that builds software and hardware that make ML on EC2 work. Our organization is a dedicated group of innovators that have invented new networks, new silicon, new software suites, and combined those to entice customers to move immense ML and HPC workloads to the cloud. The ML Infrastructure team is laser focused on making AWS the best and most cost-effective place for customers to do AI at scale. Our work directly enables the launch of new GPU instance types.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience working with Linux</li><li>Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS</li><li>Experience coding in Python</li><li>Experience with TypeScript and AWS CDK for infrastructure as code</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually<br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ML Infrastructure Team

Headspace

<div><p><b>About the </b><b>Senior Data Engineer</b><b> at Headspace:</b></p>
<p><i>
As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission&mdash;enabling smarter decisions, better member experiences, and the future of personalized mental health care.
</i></p><p><b>What you will do:</b></p>
<ul>
<li>Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization's data lake</li>
<li>Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry's stringent requirements</li>
<li>Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics</li>
<li>Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation</li>
<li>Support peers and champion a culture that values data as a strategic asset across the organization</li>
</ul>
<p><b>What you will bring</b>:</p>
<p><b>
Required Skills:</b></p>
<ul>
<li>4+ years of proven success designing and implementing large-scale data systems</li>
<li>Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)</li>
<li>Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques</li>
<li>Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake</li>
<li>Demonstrated expertise in architectural patterns for building high-volume ETL pipelines</li>
<li>Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation</li>
<li>Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration</li>
<li>BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li>
</ul>
<p><b>Preferred Skills:</b></p>
<ul>
<li>Experience in deployment and infrastructure management using Terraform is a plus</li>
<li>Prior experience implementing governance, privacy, and security frameworks across a data platform</li>
<li>Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data</li>
<li>Experience migrating or working with DBT for transformations, documentation, and lineage tracking</li>
<li>Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement</li>
</ul>
<p><b>Location: This role is open to candidates across the US, with preferred locations in San Francisco, CA (hybrid), New York City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US full-time.</b></p>
<p><i>
If your primary residence is in the greater San Francisco Bay Area, this role follows our hybrid model, with 3 days per week in office to support in-person collaboration. Your recruiter will share more details.</i></p>
<p><b>
Pay &amp; Benefits</b>:</p>
<p>
The anticipated new hire base salary range for this full-time position is <b>$122,400-170,000</b> + equity + benefits.</p>
<p><i>
For candidates based in San Francisco, New York City, or Seattle, a separate salary range of $156,400-$195,500 applies, consistent with our location-based compensation philosophy.</i></p>
<p>
Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.<br>
<i>Your recruiter will provide more details on the specific salary range for your location during the hiring process.</i></p>
<p>
At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.</p>
<p><b>
About Headspace</b></p>
<p>
Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.</p>
<p>
At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: <b>Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage.</b> These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.</p>
<p><b>
Why You'll Love Working Here:</b></p>
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
<p><b>How we feel about Diversity, Equity, Inclusion and Belonging:</b></p>
<p>
Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.</p>
<p>
As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.</p>
<ul><li><i>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. </i><b><i>Please inform our Talent team by filling out </i></b><b><i>this form</i></b><b><i> if you need any assistance completing any forms or to otherwise participate in the application or interview process.</i></b></li></ul>
<p></p>
<p><i>Headspace participates in the </i><i>E-Verify Program</i><i>.</i></p>
<p><b><i>
Privacy Statement</i></b></p>
<p><i>
All member records are protected according to our</i><i> </i><i>Privacy Policy</i><i>. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
</i></p><p><i>As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.</i></p>
<p><i>
Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.</i></p>
<p>
For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</p></div>

Senior Data Engineer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The AWS Region Services team is hiring a cleared Dedicated Cloud Engineer to support cloud security services for the U.S. Intelligence Community. Our team is tasked with protecting the AWS infrastructure that is used by our National Security customers. Join our mission to help lead, deploy, and support the security systems that raise the security bar for the U.S. Government!<br>
<br>
The Faraday team supports customer-facing security services in Amazon Dedicated Cloud (ADC) regions, including GuardDuty, Security Hub, and Inspector.<br>
<br>
As a Cloud Engineer on our team, you will be instrumental in managing the operational load to scale a massive &amp; always-on distributed system, proactively automating away problems in order to improve the quality of service for our security operations customers.<br>
<br>
If you thrive in operating complex systems, diagnosing and resolving the hardest corner case operations problems, please apply! Our systems engineers don't just solve problems - we look to engineer services to scale with lots of automation, decreasing effort along the way. We know that the really interesting problems are hiding inside this automation challenge.<br>
<br>
You'll work side-by-side with our security engineers and service development teams to deploy and maintain the security information and event management (SIEM) platform they use every day. We have a lot of log data to process and we need your help! You'll implement mechanisms to drive our availability metrics up and our latency metrics down. We're need you to &quot;think big&quot; and ensure that we're set up to scale for the future. We need you to Invent and Simplify new operational tools to improve the velocity of our Security Operations service customers.<br>
<br>
We're not looking for hands or button pressers - we're looking for motivated individuals who want to scale security systems and change the way the business operates as a result. You need to be open to new challenges and willing to learn new technologies. In addition to using internal Amazon tooling, we are huge advocates for using public AWS services to build our platform. You should always be thinking, &quot;How could this work without me involved?&quot; and then building a solution to make it happen.<br>
<br>
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.<br>
<br>
Key job responsibilities<br>
<ul><li>Operate within the team of peer engineers with lots of personal autonomy to solve complex systems engineering problems through innovative approaches.</li></ul><br>
<ul><li>Provide guidance on system architecture and recommend solutions in alignment with systems engineering best practices.</li></ul><br>
<ul><li>Calmly and quickly diagnose and fix critical system failures in high pressure situations to reduce Mean Time to Resolve (MTTR).</li></ul><br>
<ul><li>Engineer Operational Improvements to reduce operational efforts to Keep the Lights On.</li></ul><br>
<ul><li>Troubleshoot unknown-unknown problems into known-known root causes using your holistic knowledge of systems to break the problem down and isolate the cause(s); then drive them to resolution</li></ul><br>
About the team<br>
Why AWS<br>
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.<br>
<br>
AWS Infrastructure Services (AIS)<br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Work/Life Balance<br>
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.<br>
<br>
Mentorship and Career Growth<br>
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.<br>
<br>
Diverse Experiences<br>
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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Information Science, Information Technology, Computer Science, Computer Engineering, Electrical Engineering, or a related field</li><li>1+ years of systems administration (Linux/Windows) experience</li><li>Experience working with scripting languages like Python, Java, Perl, PHP, Ruby, Bash, Shell, or equivalent</li><li>Current, active US Government Security Clearance of TS/SCI with Polygraph</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>1+ years of cloud computing technologies experience</li><li>1+ years of networking and troubleshooting experience</li><li>1+ years of support procedures and methodologies for production computing environments experience</li><li>Experience automating routine tasks</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, Seattle - 91,000.00 - 152,000.00 USD annually</div><p></p>

Dedicated Cloud Engineer, ADC Faraday

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>The Agentic AI Data Engineer is a hands-on role focused on building and maintaining the data pipelines and infrastructure that fuel AI agent systems. Within TCS&rsquo;s AI &amp; Data group (Americas), you will be the builder who turns data architecture plans into reality, ensuring that AI models and agents have continuous access to high-quality, timely data. This client-facing consulting role involves hybrid work from client site as needed for deployment. You&rsquo;ll work across wide array of business functions within Retail. By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents to perform reliably and accurately in production.</div><br>
<div><br>
</div><div>What You Would Be Doing:
</div><div>Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files, streaming sources) relevant to the AI solution.
</div><div>Data Transformation &amp; Processing: Implement transformation and cleaning steps on raw data to make it usable for AI, ensuring efficiency and scalability.
</div><div>Loading Data to Storage/Indices: Set up processes to load processed data into target storage systems that AI agents or models will use.
</div><div>Real-Time Data Feeds: Implement streaming or incremental update pipelines when AI systems require real-time or frequently updated data.
</div><div>Pipeline Automation &amp; Scheduling: Use orchestrators or schedulers to automate the data workflows.
</div><div>Data Integration &amp; API Development: Develop and maintain integration components for real-time data fetching.
</div><div>Collaborate on RAG/Knowledge Base Updates: Work closely with AI Data Architects on implementing RAG updates.
</div><div>Testing and Validation of Data Pipelines: Develop tests and monitoring for your data pipelines.
</div><div>Optimize Pipeline Performance: Profile and optimize data pipelines for speed and resource usage.
</div><div>Documentation and Handover: Document pipeline processes, configurations, and dependencies clearly.
</div><div>Industry-Specific Data Handling: Adapt data engineering to specific domain needs.
</div><div>Collaboration &amp; Agile Implementation: Work as part of an agile product team, collaborating with data architects, AI engineers, and others.
</div><div>Maintain and Evolve Pipelines: Monitor pipelines and handle maintenance post go-live.</div><br>
<div><br>
</div><div>What Skills Are Expected:
</div><div>Programming &amp; Scripting: Strong programming skills, especially in Python, and experience with other languages like SQL.
</div><div>Data Pipeline Development: Practical experience building data pipelines end-to-end.
</div><div>Database and SQL Skills: Proficiency in writing and optimizing SQL queries.
</div><div>Big Data &amp; Distributed Processing: Experience with big data technologies like Apache Spark.
</div><div>Streaming Data Experience: Familiarity with streaming frameworks and tools like Kafka.
</div><div>API Integration and Web Services: Ability to interact with web APIs for data ingestion or extraction.
</div><div>Data Formats and Parsing: Strong understanding of data formats and ability to parse JSON, XML, or custom text formats.
</div><div>DevOps for Data Pipelines: Basic DevOps skills, including using Git for version control and CI/CD pipelines.
</div><div>Problem Solving &amp; Debugging: Strong ability to troubleshoot data issues.
</div><div>Data Quality Focus: Attentiveness to data quality and skills in implementing checks and validating outputs.
</div><div>Collaboration &amp; Commun ication: Good communication skills to work with the team and clients.
</div><div>Time Management &amp; Flexibility: Ability to handle multiple tasks and prioritize effectively.
</div><div>Domain Data Understanding: Aptitude to learn domain context from data.
</div><div>Security &amp; Privacy Business Units: Understanding of handling sensitive data securely in pipelines.
</div><div>Continuous Learning: Willingness to learn new tools or frameworks as needed.</div><br>
<div><br>
</div><div>Key Technology Capabilities:
</div><div>ETL / Data Integration Tools: Experience with tools such as Apache Airflow, Informatica PowerCenter, or cloud-based ones like Azure Data Factory.
</div><div>Big Data Processing: Proficiency in Apache Spark and knowledge of Hadoop HDFS.
</div><div>SQL &amp; Databases: Strong practical SQL skills and familiarity with relational database systems.
</div><div>NoSQL and Other Data Stores: Knowledge of specific systems like MongoDB or Cassandra.
</div><div>Stream Processing: Hands-on usage of Apache Kafka and understanding of consumer group mechanics.
</div><div>Cloud Storage &amp; Compute: Familiarity with cloud storage services like Amazon S3 and cloud compute for ETL.
</div><div>APIs &amp; Web Services: Experience building or using connectors to RESTful APIs.
</div><div>File Formats &amp; Data Serialization: Understanding of various file formats and ability to convert between them.
</div><div>Operating Systems &amp; Scripting: Comfortable with Linux shell and basic shell scripting.
</div><div>Version Control &amp; CI/CD: Using Git for source control and setting up CI pipelines for data projects.
</div><div>Monitoring &amp; Logging Tools: Utilizing monitoring tools for data workflows.
</div><div>Data Visualization/Verification: Basics of tools like Excel or Python&rsquo;s Jupyter notebooks for data sanity checks.
</div><div>Security &amp; Networking: Understanding network configurations for data transfer.
</div><div>Testing Frameworks: Familiarity with PyTest or unittest for writing tests for data transformations.
</div><div>Collaboration Tools: Experience with tools like JIRA and documentation tools.
</div><div>AI/ML Familiarity: Bonus if you understand some AI/ML fundamentals</div><br>
<div><br>
</div><div>Salary Range: 124300-168100 a year
</div><div>#LI-MM6</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415327</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$124,300-$168,100 a year</div></div></div></div><div></div>

Senior Engineer, AI Data Management

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
This is an opportunity to join one of AWS's most foundational and high-impact engineering teams &mdash; the In-Memory datastore team, part of Amazon ElastiCache. We build the next-generation, high-performance in-memory distributed data storage platform that powers some of the world's most demanding real-time applications. Our work sits at the intersection of distributed systems, database internals, and cloud-scale infrastructure, and it directly shapes how millions of AWS customers build low-latency, high-throughput applications.<br>
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If you've ever found yourself deep in a conversation about CAP theorem, consistent hashing, Raft, Paxos, or gossip protocols &mdash; and you want to apply those ideas to real-world systems at massive scale &mdash; this team is where you belong. We are the engineers behind the acclaimed Amazon Dynamo paper, and we continue to push the boundaries of what NoSQL systems can do. We're not just building a cache; we're building a durable, highly available, and scalable in-memory database platform that bridges the best of RDBMS and NoSQL worlds.<br>
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Key job responsibilities<br>
As a Software Development Engineer on this team, you will take on broad ownership across the full lifecycle of our platform. Your core responsibilities will include:<br>
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<ul><li>Designing and building the next-generation in-memory NoSQL database platform, enabling developers to create highly available, scalable, and high-performance applications at unprecedented scale.</li><li>Leading software development of large-scale distributed in-memory storage systems, primarily in Java and C/C++, leveraging open-source technologies such as Redis and Memcached alongside Amazon-proprietary technologies.</li><li>Developing and operating HTTP/REST services, asynchronous messaging systems, and event-driven architectures that form the backbone of our platform.</li><li>Building and improving real-time failure detection and auto-remediation systems capable of detecting node failures in large distributed clusters and initiating recovery within seconds.</li><li>Driving horizontal and vertical scaling capabilities, management and monitoring plane workflows, fault tolerance mechanisms, and backup and restore technologies.</li><li>Contributing to disaster recovery and prevention strategies to ensure the highest levels of availability and durability for our customers.</li><li>Mentoring and growing junior engineers on the team, serving as a technical leader and role model for engineering best practices.</li><li>Managing individual project priorities, deadlines, and deliverables with a high degree of autonomy and accountability.</li></ul><br>
A day in the life<br>
Day-to-day, you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like:<br>
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Writing and reviewing production-quality code in Java or C/C++ for distributed storage components, scaling systems for monitoring plane owned services.<br>
Participating in design reviews and architecture discussions, where you'll debate tradeoffs around consistency, availability, and partition tolerance &mdash; and then go build the solution.<br>
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Collaborating with peer engineers across the team to debug complex distributed systems issues, analyze failure patterns, and drive root cause analysis.<br>
Working closely with the monitoring plane and operations team to improve observability, tune auto-remediation workflows, and reduce mean time to recovery.<br>
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Engaging with product and customer service teams to understand real-world use cases &mdash; from IoT and mobile applications to large-scale analytics &mdash; and translating those needs into platform capabilities.<br>
Mentoring junior engineers through code reviews, design feedback, and pairing sessions, helping them grow their technical skills and Amazon engineering judgment.<br>
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Contributing to the team's operational excellence by participating in on-call rotations and driving improvements to system reliability and operational tooling.<br>
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About the team<br>
The In-Memory Storage Platform team is a passionate group of engineers who thrive on solving hard distributed systems problems. We are a collaborative, intellectually curious team that values technical depth, ownership, and a bias for action. Our charter is Amazon ElastiCache &mdash; an AWS service that enables customers to deploy, manage, and massively scale in-memory distributed data stores using open-source technologies like Redis and Memcached.<br>
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Our customers include some of the world's fastest-growing startups and enterprises, all relying on ElastiCache to build ultra-low-latency, high-throughput data layers. We are deeply invested in open-source software and actively contribute to the broader NoSQL ecosystem. As a team, we believe in growing together &mdash; senior engineers are directly involved in mentoring and developing junior engineers, and we take pride in building a culture of technical excellence and continuous learning.<br>
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About AWS
<br>
AWS 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.
<br>
<br>
AWS 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.
<br>
<br>
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.
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Inclusive Team Culture Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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Mentorship &amp; 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.
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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.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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.<p><br>
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.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, ElastiCache

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