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Activision

<div><div>Craft:</div>
Technology &amp; Development<div></div><div>
Job Description:</div><div></div><div>
Your Role Within the Kingdom</div><div></div><div>
Do you want to build amazing high-scale backend systems for Advertising using the latest technologies? Are you an excellent communicator who enjoys working with people from several different business units? Can you translate business needs into technical requirements and implementation?</div><div></div><div>
If you answered yes, then our Senior Data Engineer role on our Xbox Advertising Engineering team may be the right role for you!</div><div></div><div>
We are seeking a Senior Data Engineer to craft groundbreaking mobile advertising technologies to build the next generation of our Ads Platform.</div><div></div><div>
We are an impactful team of problem solvers who are constantly reviewing how and why we do things and learning from each other. We are experimental, trying out new tech and ideas, and willing to do things differently to drive the entire industry forward. We are sociable and fun, and we like to hang out together. We are passionate, some might even say quirky, and while we love what we do, our lives are about more than work. We love games and are obsessed with creating the best player experience!</div><div>
Responsibilities</div><ul><li><div>
Build scalable data pipelines and services.</div></li><li><div>
Understand the business requirements and translate them into the development/design tasks.</div></li><li><div>
Follow engineering best practices and design/coding standards.</div></li><li><div>
Collaborate and partner closely with cross-functional teams and stakeholders.</div></li></ul><div></div><div>
Skills to Create Thrills</div><ul><li><div>
BA/BS degree in Computer Science, or a related technical field, plus 4+ years of relevant professional experience in software design and development (8+ years total)</div></li><li><div>
Proficient in Python and/or Java Development and object-oriented design principles.</div></li><li><div>
2+ years of experience in working with relational databases such as MySQL, Postgres, etc.</div></li><li><div>
Experience in NoSQL databases like Bigtable, Cassandra, HBase, etc.</div></li><li><div>
Experience with schema design and data modeling.</div></li><li><div>
Strong understanding of large-scale distributed data processing.</div></li><li><div>
Experience with developing extract-transform-load (ETL).</div></li><li><div>
Experience with distributed messaging systems like Kafka and RabbitMQ</div></li><li><div>
Experience with distributed computing frameworks like Apache Spark and Flink.</div></li><li><div>
Should be able to communicate and articulate his/her thought process effectively with the other team members.</div></li></ul><div></div><div>
Bonus Points</div><ul><li><div>
Experience working with AWS or Google Cloud Platform (GCP)</div></li><li><div>
Experience in building a data warehouse and data lake.</div></li><li><div>
Knowledge of advertising platforms.</div></li></ul><div></div><div>
We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women, veterans, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply.</div><div></div><div>
We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest.</div><div></div><div>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics.</div><div></div><div>
Xbox Advertising builds the player-first, full-stack monetization technology that powers advertising across Xbox surfaces and ad-supported gameplay. We enable meaningful player engagement, publisher success, and platform growth by delivering trusted, high-quality ad experiences at global scale. Backed by Xbox and Microsoft, our platform blends deep gaming insights, privacy-forward data, and world-class engineering to make Xbox Ads the most effective and trusted ad platform in gaming.</div><div></div><div>
Rewards</div><div>
We provide a suite of benefits that promote physical, emotional and financial well-being for &lsquo;Every World&rsquo; - we&rsquo;ve got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:</div><ul><li>
Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&amp;D insurance, disability insurance;</li><li>
401(k) with Company match, tuition reimbursement, charitable donation matching;</li><li>
Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;</li><li>
Mental health &amp; wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life &amp; disability, legal service, ID protection, rental insurance, and others;</li><li>
If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.</li></ul><div></div><div>
Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting <div>https://www.benefitsforeveryworld.com/</div>.</div><div></div>
In the U.S., the standard base pay range for this role is $101,000.00 - $186,754.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role&rsquo;s range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.</div>

Senior Data Engineer | Xbox Advertising

Afresh

<div><div><p>Afresh is the leading AI company in fresh food&mdash;partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide.</p>
<p>
Following record-breaking 70% growth in 2025, we've expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying.</p>
<p>
We're on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us.</p></div><p><b>
About the Role</b></p>
<p>
As a Senior Data Engineer, you'll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. You'll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.</li>
<li>Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.</li>
<li>Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.</li>
<li>Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.</li>
<li>Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.</li>
<li>Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.</li>
<li>Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.</li>
</ul>
<p><b>What Makes You a Great Fit</b></p>
<p>
We encourage all highly-qualified candidates to apply, even if they don't meet every listed qualification.</p>
<ul>
<li>Significant experience designing and maintaining ETLs that process large-scale datasets.</li>
<li>Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT.</li>
<li>Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.</li>
<li>A focus on practical outcomes&mdash;you're skilled at balancing technical rigor with the need to get things done.</li>
<li>Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.</li>
<li>A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort.</li>
<li>Excellent communication skills&mdash;you're able to explain your ideas clearly to both technical and non-technical audiences.</li>
<li>Proven leadership in technical projects, with a willingness to mentor and help others grow.</li>
</ul>
<p><b>Why Work Here</b></p>
<ul>
<li>Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year.</li>
<li>Work on challenging, real-world problems that have a direct impact on our customers.</li>
<li>Be part of a collaborative, supportive team where your ideas are valued and acted on.</li>
<li>Use cutting-edge tools and platforms to solve meaningful data challenges.</li>
</ul>
<p>We're looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we'd love to hear from you!</p>
<p><b>
This position is not eligible for employer sponsorship.</b></p>
<p>
Salary Range in U.S.: $156,000 - $211,000</p>
<p>
Salary Range in Canada (CAD): $137,000 - $185,000</p><p></p><div><p><b><br>
About Afresh</b><br>
<br>
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.
<br>
<br>
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.</p>
<p>
Fresh is the past, present, and future of our food system &ndash; the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company's values of proactivity, kindness, candor, and humility.<br>
<br>
<b>Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.</b></p>
<p><b>
Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI</b>.</p></div></div>

Senior Data Engineer

Apple

<p>At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Data Products Engineering team is seeking an ambitious and versatile Data engineer to help lead the design and scale of key data systems, delivering data products that solve exciting business problems. Responsibilities range from designing and implementing core stream-processing and batch-processing capabilities, to supporting privacy preserving critical pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will be a leading voice in our technology strategy and its delivery, developing and mentoring team members. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 8+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!<br>
<br>
<b>Description</b><br>
<br>
At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. As a part of the data organization, we work at the cutting edge of data engineering, machine learning, and privacy at Apple's scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. As a part of this team, as a Data Engineer, you will * Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond * Collaborate with a team of world-class data engineers and product managers to apply leading-edge techniques and technologies that process petabytes of realtime streaming and batch events * Require a strong understanding of the intersection between business, analytics, and engineering resulting in a proactive approach, focusing on reusable solutions, to improve efficiency and time to insight * Must be able to work in a rapidly changing environment and perform effectively in a sprint-based, agile development environment * Join and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity. We are one team, nurturing each other&rsquo;s growth and supporting each other in delivering for our customers and Apple<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Ability to communicate effectively with cross-functional technical and non-technical teams<br>
<br>
Comfortable working in a rapidly changing environment with ambiguous requirements<br>
<br>
Comfortable with rotating on-call for mission-critical applications<br>
<br>
Prior experience in advertising industry is a huge plus!<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
8+ years of industry experience building distributed, scalable data pipelines and data platforms<br>
<br>
Proven track record of successful and timely software product delivery with complex dependencies<br>
<br>
Demonstrated innovative, critical thinking and troubleshooting skills<br>
<br>
Excellent collaborative skills<br>
<br>
History of motivating teams to meet aggressive goals and innovate<br>
<br>
Proficiency with modern programming languages (e.g. Java/Scala/C++) and ease with picking up new technologies independently<br>
<br>
Strong computer science and data engineering fundamentals<br>
<br>
Expertise in data modeling and Iceberg lake house implementation<br>
<br>
Proficiency in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)<br>
<br>
Experience building and scaling systems on premise and in the cloud<br>
<br>
Strong technical skills with proven experience developing, architecting, and supporting scalable data infrastructure<br>
<br>
Passion for data quality, code elegance, clear documentation, cost saving and operational excellence<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
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>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment.
<br>
<br>
Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast.<br>
<br>
As a Data Infrastructure Engineer, you will be responsible for empowering internal teams and IVS customers with the data they need to make key operational and business decisions. We operate petabyte-scale data infrastructure for collecting, processing, and warehousing IVS data. We support streaming and batch pipelines to facilitate analytics, reporting, and ML workloads. We offer analytics tools and data products designed to make it easy and fast for our customers to extract the insights they need from their data.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, implement, and maintain scalable data infrastructure in native AWS</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting</li><li>Work closely with product and analytics teams to understand requirements and deliver high-performance solutions</li><li>Champion best practices for security, compliance, and governance in data infrastructure</li><li>Identify opportunities to optimize performance and cost of data platforms</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem</li></ul><br>
A day in the life<br>
Your primary focus will be empowering customers to succeed with their data by ensuring they can:<br>
<ul><li>Gather and access data at scale &ndash; Enable seamless data collection and retrieval that grows with their needs</li><li>Extract meaningful insights &ndash; Provide the right tools and capabilities to uncover the answers they're seeking</li><li>Trust their data &ndash; Maintain confidence in the completeness, accuracy, and reliability of their information</li></ul>
Achieving these goals requires close collaboration and strong partnerships with Product and Data Science teams to deliver solutions that truly meet customer needs.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ 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 in software development, or experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets</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>
Pursuant to the San Francisco 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, San Francisco - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Data Infrastructure Engineer, Amazon Interactive Video Service (IVS)

Triumph

<div><h1 class="jobSectionHeader"><b>About Us</b></h1><p>
Triumph makes mobile gaming more thrilling by letting players wager - and win - real money, play in mass multiplayer games, and compete in social tournaments. We've built the top app in our App Store category and sustained exponential month-over-month growth on our revenue and active players. We're hyper-scaling our team and continuing to innovate, launching new products like Rips, our collectibles app, which has found huge success and is continuing to expand. And we're just getting started.</p><p>
Triumph is backed by some of the top consumer VCs including Goodwater Capital, General Catalyst, and DraftKings Drive Fund.</p><p></p><h1 class="jobSectionHeader"><b>
The Role</b></h1><p>
Triumph is a skill-based real-money gaming platform in a period of rapid growth. Real money flows through every game, every matchmaking decision, and every payout, which means the data infrastructure powering those systems has to be fast, reliable, and built to scale.</p><p>
As our first dedicated data engineering hire, you'll own the full data stack: ingestion, transformation, warehouse architecture, pipeline reliability, and the systems that connect model outputs back to production. You'll work at the intersection of a quantitative strategy team and a fast-moving engineering org, building the foundation that both depend on.</p><p></p><h1 class="jobSectionHeader"><b>
What You'll Do</b></h1><ul><li><p>
Architect and own the data warehouse. Design and optimize our BigQuery environment for performance, cost, and reliability as data volumes scale with user growth.</p></li><li><p>
Build and maintain transformation layers. Own our dbt project end-to-end, including models, testing, documentation, and CI/CD, turning raw event streams into clean, trusted datasets.</p></li><li><p>
Pipeline orchestration. Build and manage robust data pipelines with proper orchestration, monitoring, alerting, and failure recovery. Nothing should break silently.</p></li><li><p>
Real-time data systems. Design and implement streaming infrastructure for use cases where batch processing falls short: live game economics, real-time risk signals, and in session player behavior.</p></li><li><p>
Reverse ETL and production integration. Close the loop between model outputs and the product by getting scores, segments, and predictions back into production systems where they drive real decisions.</p></li><li><p>
Data quality and reliability. Build the testing, validation, and monitoring frameworks that let a small team trust the data at scale.</p></li><li><p>
Partner with DS and engineering. You'll sit between two teams that move fast and need different things from the data layer. Translate between them and make both more productive.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Qualifications</b></h1><ul><li><p>
Strong software engineering fundamentals. You write clean, maintainable, well-tested code.</p></li><li><p>
Deep experience with SQL and Python in production data contexts.</p></li><li><p>
Hands-on experience with data warehousing (BigQuery, Snowflake, Redshift, or similar) and transformation frameworks (dbt strongly preferred).</p></li><li><p>
Experience building and operating data pipelines with orchestration tooling (Airflow, Dagster, Prefect, or similar).</p></li><li><p>
Understanding of data modeling patterns (dimensional modeling, slowly changing dimensions, incremental materialization).</p></li><li><p>
Ability to work independently and make sound architectural decisions. You'll have a lot of autonomy and you need to use it well.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Preferred</b></h1><ul><li><p>
Experience with streaming/real-time data systems (Kafka, Pub/Sub, Flink, or similar).</p></li><li><p>
Familiarity with analytics engineering and the modern data stack (Fivetran, Statsig, or similar tools).</p></li><li><p>
Exposure to quantitative or financial data environments where correctness and latency matter.</p></li><li><p>
Experience being an early or first data engineering hire. You've built from zero before and know what to prioritize.</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Why This Role</b></h1><p>
You'd be building and owning the entire data engineering function at a hypergrowth consumer startup where data runs through every layer of the business. Every product decision, every dollar of revenue, and every player interaction flows through the stack you'll build. You'll set the architecture, choose the tooling, define the standards, and see your work become load-bearing infrastructure from day one. If you want to build something from scratch at a company that lives and breathes data, this is a rare opportunity</p><p></p><h1 class="jobSectionHeader"><b>
Why Triumph?</b></h1><ul><li><p><b>
High growth. </b>Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.</p></li><li><p><b>
High agency. </b>Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.</p></li><li><p><b>
High energy. </b>Passionate team who are proud of our work and velocity (16x year over year growth).</p></li><li><p><b>
Competitive salary and benefits.</b> $400/mo lunch credit, healthcare, vision, dental, 401k, etc.</p></li></ul><p></p><p>
Our team gathers 5 days a week at Triumph&rsquo;s headquarters at Levi&rsquo;s Plaza in San Francisco.</p><p>
Compensation Range: $160K - $240K</p></div>

PARASAIL

<div><div><p>Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a <b>fast, cost-efficient, and scalable</b> cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</p></div><div><h1 class="jobSectionHeader"><b>
The Role</b></h1>
<p>
We&rsquo;re looking for a Senior Fullstack Engineer who wants to own large surface areas of product from database to pixel. You&rsquo;ll build the interfaces, APIs, and systems that thousands of AI engineers interact with daily &mdash; from our real-time inference dashboard and model deployment console to the orchestration APIs that route workloads across a global GPU network.</p>
<p>
This isn&rsquo;t a role where you&rsquo;ll be handed pixel-perfect mocks and asked to implement them. You&rsquo;ll shape what we build and how it works, collaborating directly with founders and infrastructure engineers to turn complex distributed systems into products that feel simple and fast.</p>
<h1 class="jobSectionHeader"><b>
What You&rsquo;ll Build</b></h1>
<ul><li><b>Inference Platform UI: </b>Design and build the dashboards, model deployment workflows, and real-time monitoring views that our customers use to deploy and manage AI workloads at scale.</li>
<li><b>APIs &amp; Backend Services: </b>Architect and implement the backend services that power our platform &mdash; model serving endpoints, usage metering, billing integrations, authentication, and developer-facing APIs.</li>
<li><b>Orchestration Interfaces: </b>Build the frontend and API layers on top of our GPU orchestration engine, giving users intuitive control over routing, caching, scaling, and cost optimization across our global network.</li>
<li><b>Developer Experience: </b>Own the end-to-end developer experience including API documentation, SDK design, CLI tools, and onboarding flows that make Parasail the easiest inference platform to adopt.</li>
<li><b>Real-Time Systems: </b>Implement streaming interfaces (SSE/WebSockets) for real-time inference responses, live cost tracking, and deployment status updates.</li>
<li><b>Data &amp; Analytics: </b>Build internal and customer-facing analytics &mdash; usage dashboards, cost breakdowns, latency distributions, and performance benchmarking tools.</li>
</ul><h1 class="jobSectionHeader"><b>Technical Abilities</b></h1>
<ul><li><b>Frontend Engineering: </b>Strong experience with modern frontend frameworks (React, Next.js, or similar). You write clean, performant TypeScript and care about UI/UX details &mdash; loading states, error handling, responsive design, and accessibility.</li>
<li><b>Backend Development: </b>Deep experience building production backend services in Go, Python, Java, or Node.js. You&rsquo;re comfortable designing RESTful and gRPC APIs, working with relational and NoSQL databases, and implementing auth, rate limiting, and caching layers.</li>
<li><b>Distributed Systems Fundamentals: </b>Solid understanding of distributed computing principles &mdash; consistency models, fault tolerance, and scalability patterns. You don&rsquo;t need to be a distributed systems PhD, but you should be comfortable reasoning about systems that span multiple services and regions.</li>
<li><b>Cloud-Native &amp; Infrastructure: </b>Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. Bonus if you&rsquo;ve worked with Infrastructure as Code (Terraform, Pulumi).</li>
<li><b>Data &amp; Observability: </b>Experience building data pipelines, analytics dashboards, and integrating observability tools (metrics, logging, tracing). You know how to instrument systems so problems surface before customers notice.</li>
<li><b>AI/ML Familiarity (Nice to Have): </b>Understanding of LLM technologies, inference optimization (batching, caching, quantization), or model serving platforms like vLLM, TGI, or Triton. If you don&rsquo;t have this yet, you&rsquo;re excited to learn.</li>
</ul><h1 class="jobSectionHeader"><b>Qualifications</b></h1>
<ul><li>5+ years of professional software engineering experience with significant fullstack ownership (you&rsquo;ve shipped features end-to-end, from UI to database).</li>
<li>Track record of building and scaling web applications or developer platforms used by technical audiences.</li>
<li>Experience working in fast-paced environments where you&rsquo;ve had to make pragmatic trade-offs between speed and quality.</li>
<li>Strong product instincts &mdash; you think about the user experience, not just the code.</li>
<li>Excellent communication skills. You can explain technical decisions to non-technical stakeholders and write clear documentation.</li>
<li>While deep AI experience is not required, a demonstrated ability to learn new technologies quickly and stay current with the rapidly evolving AI landscape is essential.</li>
</ul><h1 class="jobSectionHeader"><b>Why Parasail</b></h1>
<ul><li><b>Massive impact at an early stage. </b>We&rsquo;re a small team building infrastructure that powers thousands of AI applications. Your work will be felt by every customer, every day.</li>
<li><b>Work at the frontier. </b>AI inference is one of the fastest-growing and most technically interesting areas in tech. You&rsquo;ll work alongside engineers who&rsquo;ve built AI companies from scratch and shipped products used by industry leaders.</li>
<li><b>Full ownership, minimal bureaucracy. </b>No PRDs written by someone three levels away. You&rsquo;ll work directly with founders and ship to production on your own terms.</li>
<li><b>Competitive compensation. </b>Competitive salary, meaningful equity in a high-growth company, and benefits designed for a distributed team.</li>
</ul>
<div><div><div><div><p><i>The AI inference market is projected to dwarf the training market within a few years. Parasail is building the infrastructure layer that makes this possible. If you want to build products that shape how the world runs AI, we&rsquo;d love to hear from you.</i></p></div></div></div></div></div></div><p></p>

Senior Software Engineer, Fullstack

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<div>San Francisco, California 94016 Posted March 12th, 2026
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<br><div><p>Job Type: Contract</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Role: Sr. AI/ML Engineer</b></p><ul><li> <b>Experience</b> &ndash; 10+ Years</li><li> <b>Location</b> - San Francisco, CA &ndash; LOCALS Only</li></ul><div><b>
Required Qualifications</b><br>
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications<br>
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul><br>
<b>
Roles &amp; Responsibilities</b><br>
<b>Role Overview</b><br>
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div><b><br>
Key Responsibilities</b><br>
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Sr. AI/ML Engineer-6

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