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backend engineer

TwelveLabs

<div>
 
 Who We Are
 
 
 
 At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
 
 
 With a remarkable $107 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA&rsquo;s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
 
 
 We are a global company that values the uniqueness of each person&rsquo;s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
 
 
 
 About The Role
 
 
 
 As a Senior Backend Software Engineer at TwelveLabs, you&rsquo;ll build the server-side infrastructure powering our new agentic application layer. You'll join a small, high-impact team and own the critical transition from prototype to production-ready platform.
 
 
 
 Up to 25% travel to Los Angeles is expected.
 
 
 
 Candidates must be able to travel up to 10% of the time annually to attend conferences, off-site meetings, and other business-related events as required by the role. This role may require participation in on-site interviews and/or completion of in-person onboarding processes.
 
 
 
 In this role, you will
 
 
 
 Backend
 
 
 <ul>
 <li>
 Design and build backend services for video processing workflows &mdash; ingestion, transcoding, 4K export, metadata extraction, and timeline operations
 </li>
 <li>
 Architect scalable, high-availability systems to support enterprise-grade video workloads across cloud-native infrastructure (AWS, GCP)
 </li>
 <li>
 Build and optimize APIs that power real-time and async frontend workflows, including streaming data delivery and long-running job orchestration
 </li>
 <li>
 Own performance and reliability for distributed video processing pipelines with low latency and high throughput requirements
 </li>
 <li>
 Collaborate closely with frontend engineers on API design, data models, and streaming strategies
 
 
 </li>
 </ul>
 ML Integration
 
 
 <ul>
 <li>
 Integrate and run inference on computer vision models for tasks like video resizing, scene detection, automatic audio noise cleaning, and visual analysis
 </li>
 <li>
 Deploy and serve ML models on cloud-based or cloud-native platforms &mdash; evaluate build-vs-buy for model serving and SaaS alternatives
 </li>
 <li>
 Work with the research team to productionize model outputs into reliable, scalable backend services
 </li>
 <li>
 Build pipelines that bridge TwelveLabs&rsquo; foundation models with third-party CV models to power intelligent video workflows
 
 
 </li>
 </ul>
 
 You may be a good fit if you have
 
 
 
 <ul>
 <li>
 10+ years building production backend systems with a track record of designing scalable web services and APIs
 </li>
 <li>
 Experience with video-specific tools and frameworks (FFmpeg, AWS Media Services, transcoding pipelines)
 </li>
 <li>
 Deep experience with service-oriented architecture, microservices, and distributed systems
 </li>
 <li>
 Strong proficiency in Python for backend services, model integration, and tooling
 </li>
 <li>
 Hands-on experience running inference on ML/CV models in production &mdash; not research, but engineering models into reliable services
 </li>
 <li>
 Cloud-native development experience (AWS or GCP), including containerization (Docker, Kubernetes) and serverless patterns
 </li>
 <li>
 Comfort working across the stack and making pragmatic tradeoffs in a fast-moving product environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Advanced API design skills (RESTful, streaming, async patterns)
 </li>
 <li>
 Familiarity with model serving platforms (TorchServe, Triton, SageMaker endpoints, or similar)
 </li>
 <li>
 Experience with MLOps practices &mdash; model deployment, monitoring, versioning
 </li>
 <li>
 Background in media, entertainment, or video streaming platforms
 </li>
 <li>
 Exposure to CI/CD pipelines and observability tools (Prometheus, Grafana) for production systems
 </li>
 <li>
 Experience with AI-powered product features or agentic application architectures
 
 
 </li>
 </ul>
 
 Benefits And Perks
 
 
 
 🤝 An open and inclusive culture and work environment.
 
 
 🚀 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
 
 
 🏥 Full health, dental, and vision benefits
 
 
 ✈️ Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
 
 
 🛂 VISA support where applicable
 
 
 Compensation Range: $175K - $230K
 
 
</div>

Staff Backend Software Engineer, Rodeo

Mercor

<div>
 
 About Mercor
 
 
 
 Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
 
 
 Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
 
 
 Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You&rsquo;ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
 
 
 Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
 
 
 
 About The Role
 
 
 
 As a Machine Learning Engineer at Mercor, you&rsquo;ll operate at the intersection of backend engineering and applied machine learning. ML Engineers at Mercor are generalists first, shipping production systems that power performance prediction, search, recommendation, and fraud detection while also bringing statistical and modeling rigor where it matters. The work spans everything from building APIs and infrastructure to training and deploying models, always tied closely to core product outcomes. You&rsquo;ll collaborate with product engineers and operations to deliver systems that directly impact how companies source talent and how candidates find opportunities
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Research, train, and productionize ML models for engagement prediction, scoring, search
 </li>
 <li>
 Build backend infrastructure and APIs to serve ML models reliably at scale.
 </li>
 <li>
 Run experiments, analyze results, and iterate quickly to improve both models and product performance.
 </li>
 <li>
 Work cross-functionally with Operations and Product to translate business needs into model-driven solutions.
 </li>
 <li>
 Wear many hats: from backend engineer to applied ML practitioner to product problem-solver.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Strong backend engineering skills (ex. Python/Django or similar) plus a solid foundation in applied ML and statistics.
 </li>
 <li>
 Proven experience shipping production systems or ML-driven products end-to-end.
 </li>
 <li>
 High ownership and comfort operating in ambiguous, fast-changing environments.
 </li>
 <li>
 Generalist mindset: willing to flex between backend, modeling, data pipelines, and product problem-solving.
 
 
 </li>
 </ul>
 
 Why Mercor
 
 
 
 <ul>
 <li>
 Impact: Your work powers how the world&rsquo;s leading AI labs train and test their models.
 </li>
 <li>
 Learning: Get early insights into frontier model capabilities months before the market.
 </li>
 <li>
 Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Generous equity grant vested over 4 years
 </li>
 <li>
 A $20K relocation bonus (if moving to the Bay Area)
 </li>
 <li>
 A $10K housing bonus (if you live within 0.5 miles of our office)
 </li>
 <li>
 A $1K monthly stipend for meals
 </li>
 <li>
 Free Equinox membership
 </li>
 <li>
 Health insurance
 
 
 </li>
 </ul>
 Compensation Range: $130K - $500K
 
 
</div>

Machine Learning Engineer

Domu

<div>
 At Domu.ai, we're building the infrastructure that will replace call centers at the world's largest financial institutions. Voice AI that handles thousands of live calls every day for Fortune 500 banks and insurers, end-to-end. Call volume is 3x-ing monthly. We're hitting problems most startups never see: real-time voice AI at scale, legacy banking infrastructure, enterprise telephony, and regulatory constraints.
 
 
 The role
 
 
 \ As the
 
 Software Engineer
 
 you'll.....
 
 
 <ul>
 <li>
 Build and own core product features: Backend systems, APIs, voice infrastructure, wherever the product needs you. Code ships daily and goes live for Fortune 500 clients.
 </li>
 <li>
 Work on things most engineers never touch: telephony systems, real-time voice processing, and integrations with legacy financial infrastructure. The problems are hard. That's the point.
 </li>
 <li>
 95%+ of your time will be coding and building.
 </li>
 <li>
 We're looking for engineers who can own one of these areas: the orchestration layer that coordinates our voice AI systems, infrastructure scaling and low-level performance, security as a generalist building for Fortune 500 financial institutions, or product engineering close to users finding high-leverage wins.
 </li>
 <li>
 Know what it feels like when things are working: real customers, real revenue, a product people actually need. You also know the chaos, the pace, the things that break at the worst possible time. You've seen both sides and you want to do it again with a team that's already found traction.
 
 
 </li>
 </ul>
 How we work
 
 
 <ul>
 <li>
 Four engineers. Everyone ships to production.
 </li>
 <li>
 We do dailies. We groom tickets. But we keep process light and in service of the work, not the other way around. We'd rather spend time building than talking about building.
 </li>
 <li>
 We care about doing great work. Not just shipping, but shipping something you're proud of. Clean abstractions. Systems that don't page you at 3am. Code you wouldn't be embarrassed to open-source. We build things that last because we're the ones maintaining them.
 </li>
 <li>
 Ownership here is real. You won't be handed tasks from a backlog. You'll see what needs to happen and do it. That's how a small team ships to Fortune 500 customers.
 </li>
 <li>
 We hire people whose judgment we trust, then get out of their way. No passengers.
 
 
 </li>
 </ul>
 What you bring
 
 
 <ul>
 <li>
 3+ years of experience as a software engineer
 </li>
 <li>
 Previously worked at a Series A (or similar stage) startup and went through the same hypergrowth challenges Domu is facing
 </li>
 <li>
 Experience dealing with legacy systems and refactoring them into sustainable, scalable architectures
 </li>
 <li>
 Strong backend fundamentals - can own features end-to-end from design to production
 </li>
 <li>
 Proficiency in TypeScript and/or Python
 </li>
 <li>
 Cares about doing great work - clean abstractions, reliable systems, code you'd be proud to open-source
 
 
 </li>
 </ul>
 Extras we'd be excited about
 
 
 <ul>
 <li>
 Telephony/Voice infrastructure - SIP, SRTP, WebRTC, or platforms like Telnyx, Twilio, LiveKit
 </li>
 <li>
 High-throughput distributed systems - queue workers, event-driven architectures, handling 1M+ daily transactions
 </li>
 <li>
 PostgreSQL at scale - query optimization, replication, connection pooling
 </li>
 <li>
 Kubernetes - production deployments, scaling stateful services
 </li>
 <li>
 Real-time data pipelines - ClickHouse, Kafka, or similar OLAP/streaming solutions
 </li>
 <li>
 AWS infrastructure - SQS, containerized deployments
 </li>
 <li>
 Compliance-conscious environments - SOC 2, ISO 27001, or fintech/enterprise security requirements
 </li>
 <li>
 Experience with AI/ML integrations in production (LLMs, voice AI)
 </li>
 <li>
 Familiarity with contact center / dialer systems
 </li>
 <li>
 You've been through the early stages of a startup before.
 </li>
 <li>
 You care about the craft. You want to build something good, not just something that works.
 
 
 </li>
 </ul>
 Why Domu
 
 
 <ul>
 <li>
 You'll be engineer #5. Small team, high leverage. Your work ships immediately.
 </li>
 <li>
 Real traction. Post-revenue, Fortune 500 customers, 3x monthly growth. This isn't a bet on an idea. The product works and customers are paying for it.
 </li>
 <li>
 You'll learn how enterprise deals work from an engineering seat. You'll see the direct line between your code and revenue.
 </li>
 <li>
 Early enough to shape the product, the team, and the culture.
 
 
 </li>
 </ul>
 What we offer
 
 
 <ul>
 <li>
 Healthcare
 </li>
 <li>
 weekly stipend for food and transportation
 </li>
 <li>
 gym membership
 </li>
 <li>
 equipment budget (strict rules on noisy mechanical keyboards)
 </li>
 <li>
 whatever tools you need
 </li>
 </ul>
</div>

Software Engineer

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a Software Engineer, you will play a critical role in building the products and systems that power Handshake&rsquo;s core user experiences&mdash;from search and discovery to onboarding and beyond. You&rsquo;ll work across the full stack, shipping features that directly impact how millions of users find opportunities, connect with employers, and launch their careers.
 
 
 You&rsquo;ll collaborate closely with product managers, designers, and other engineers to deliver polished, end-to-end experiences in a fast-paced, mission-driven environment. Whether you&rsquo;re building AI-powered features, scaling backend systems, or crafting intuitive frontends, your work will have real, measurable impact on users at scale.
 
 
 
 Location: San Francisco, CA | 5 days/week in-office
 
 
 
 <ul>
 <li>
 Design and implement scalable full-stack systems powering core user journeys, including search, discovery, matching, and onboarding flows.
 </li>
 <li>
 Build and iterate on product features across frontend and backend surfaces, balancing speed with code quality and correctness.
 </li>
 <li>
 Ship backend APIs, asynchronous workflows, and frontend experiences that are reliable, scalable, and intuitive.
 </li>
 <li>
 Partner closely with product managers and designers to translate requirements into polished, end-to-end user experiences.
 </li>
 <li>
 Write high-quality, maintainable code while contributing to code reviews and engineering best practices.
 </li>
 <li>
 Debug and resolve issues related to system reliability, user flows, and performance.
 </li>
 <li>
 Contribute to architectural decisions and help establish patterns for scalable, secure deployments.
 </li>
 <li>
 Grow toward increased technical ownership by learning from senior engineers on the team.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience building full-stack applications.
 </li>
 <li>
 Strong proficiency in TypeScript, with comfort working across frontend and backend.
 </li>
 <li>
 Experience with modern web stacks (e.g., React, Next.js, GraphQL, Ruby on Rails).
 </li>
 <li>
 Solid understanding of relational databases (e.g., PostgreSQL) and data modeling.
 </li>
 <li>
 Product-oriented mindset with a focus on user experience and business outcomes.
 </li>
 <li>
 Strong communication skills and comfort collaborating cross-functionally with product, design, and other engineering teams.
 </li>
 <li>
 Comfortable working in a fast-paced, dynamic environment with a focus on continuous learning and improvement.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Experience with AI-powered products, chatbots, conversational interfaces, or agentic frameworks (e.g., OpenAI APIs).
 </li>
 <li>
 Familiarity with workflow orchestration tools such as Temporal or asynchronous job systems.
 </li>
 <li>
 Exposure to matching systems, marketplaces, or multi-step onboarding flows.
 </li>
 <li>
 Experience with cloud infrastructure (AWS, GCP) and deployment pipelines.
 </li>
 <li>
 Background at high-growth or scaling technology companies.
 </li>
 <li>
 Familiarity with component libraries, design systems, and building reusable interfaces for rapid deployment.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
 Compensation Range: $145K - $170K
 
 
</div>

Brex

<div><div>Why join us

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises &mdash; including DoorDash, Flexport, and Compass &mdash; use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</div>
Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level &mdash; from architecture to deployment. It's an environment where engineering is a craft, and builders become leaders.

What you'll do

As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We're looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You'll be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You'll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:
<ul>
<li>Collaborate with engineers across the company to build new features and products end-to-end.</li>
<li>Work alongside user-facing teams like Sales and Support to deeply understand our customers' needs.</li>
<li>Design and implement solutions to improve our customers' banking experiences.</li>
<li>Own problems end-to-end, from user experience and data models to scalability, operability, and ongoing metrics.</li>
<li>Tune and polish features to a high degree of excellence.</li>
</ul>
Requirements:
<ul>
<li>7+ years of professional experience designing, developing, and deploying full-stack applications.</li>
<li>Experience building and designing scalable backend systems</li>
<li>Experience working with SQL or NoSQL databases</li>
<li>Experience working with backend programming languages (Java, Kotlin, Python)</li>
<li>Familiarity with software engineering development cycles</li>
<li>Ability to hold yourself and the team to high standards</li>
<li>Strong communication and interpersonal skills</li>
</ul>
Compensation:

The expected salary range for this role is $192,000-$240,000 + Equity. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.<div>
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.</div></div>

Senior Software Engineer, Product

Baselayer

<div>
 
 &nbsp;
 
 
 
 About Baselayer
 
 
 Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer&rsquo;s B2B risk solutions and identity graph network leverage state and federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses.
 
 
 &nbsp;
 
 
 
 About the Role
 
 
 We are looking for a Data Engineer to build and scale Baselayer&rsquo;s data infrastructure. You will own the pipelines and data systems that power analytics, reporting, and machine learning across the company, with a focus on reliability, performance, and data quality.
 
 
 This role is hands-on and highly cross-functional. You will work closely with Product and Engineering to ensure data is accessible, trusted, and delivered in a way that supports product capabilities in a regulated environment.
 
 
 &nbsp;
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Design, build, and maintain scalable data pipelines that ingest, clean, validate, and transform data from internal systems and external sources
 
 </li>
 <li>
 
 Own data reliability and quality through monitoring, alerting, lineage, and validation frameworks
 
 </li>
 <li>
 
 Build and maintain data models and curated datasets that support analytics, dashboards, customer reporting, and downstream ML use cases
 
 </li>
 <li>
 
 Partner with Engineering to define best practices for data architecture, storage, access controls, and performance
 
 </li>
 <li>
 
 Implement orchestration and scheduling for batch and near-real-time workflows as needed
 
 </li>
 <li>
 
 Optimize pipeline performance, cost, and scalability as data volumes grow
 
 </li>
 <li>
 
 Develop and maintain documentation and runbooks for pipelines, datasets, and operational procedures
 
 </li>
 <li>
 
 Identify data gaps and instrumentation needs, and work with engineering teams to improve event capture and logging
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 About You
 
 
 You want to learn fast, take ownership, and do work that matters. You are not just doing this for the win. You are doing it because you have something to prove and want to be great.
 
 
 You thrive in the details, care about correctness, and take pride in building robust systems that other teams can rely on. You operate with urgency, handle ambiguity well, and consistently raise the bar on data quality and reliability.
 
 
 &nbsp;
 
 
 
 Required Experience and Skills
 
 
 <ul>
 <li>
 
 1 to 3 years of experience in data engineering, analytics engineering, or backend engineering with significant data pipeline ownership
 
 </li>
 <li>
 
 Strong Python skills and experience building production-grade data workflows
 
 </li>
 <li>
 
 Strong SQL skills with experience designing data models and transforming large datasets
 
 </li>
 <li>
 
 Experience building and maintaining ETL or ELT pipelines and working with data warehouses or analytics databases
 
 </li>
 <li>
 
 Familiarity with orchestration tools and workflow scheduling (for example Airflow, Dagster, Prefect, or similar)
 
 </li>
 <li>
 
 Strong understanding of data quality, testing, observability, and operational best practices
 
 </li>
 <li>
 
 Comfort working with large-scale datasets and troubleshooting performance issues
 
 </li>
 <li>
 
 Ability to communicate clearly with technical and non-technical stakeholders
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 What Sets You Apart
 
 
 <ul>
 <li>
 
 Experience working with identity, fraud, risk, compliance, or other regulated datasets
 
 </li>
 <li>
 
 Experience integrating with external data sources, APIs, and government or registry data
 
 </li>
 <li>
 
 Familiarity with streaming or near-real-time data patterns
 
 </li>
 <li>
 
 Highly feedback-oriented with a desire for continuous improvement
 
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Work Location
 
 
 <ul>
 <li>
 
 Hybrid in SF, in office 3 days per week
 
 </li>
 </ul>
 
 
 Compensation and Benefits
 
 
 <ul>
 <li>
 
 Salary range of $122,000 to $167,000
 
 </li>
 <li>
 
 Equity package
 
 </li>
 <li>
 
 Unlimited vacation
 
 </li>
 <li>
 
 Comprehensive health coverage
 
 </li>
 <li>
 
 401(k) with company match
 
 </li>
 </ul>
</div>

Data Engineer

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a
 
 Software Engineer
 
 , you will contribute to the development of critical systems that power how users join and trust our platform; spanning user acquisition, onboarding, identity, and fraud prevention. You will work alongside experienced engineers and cross-functional teams to deliver reliable, scalable, and high-performance software solutions. This role is ideal for someone with a strong foundation in software engineering principles and the drive to grow through meaningful, impactful work.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of platform systems that support user acquisition, onboarding, and identity infrastructure.
 </li>
 <li>
 Help build and maintain fraud prevention systems to protect the integrity of our platform.
 </li>
 <li>
 Write high-quality code and support robust testing strategies to ensure product reliability.
 </li>
 <li>
 Collaborate with product managers, designers, and senior engineers to create seamless user experiences from first touch through activation.
 </li>
 <li>
 Actively participate in code reviews and learn from experienced engineers to accelerate your technical growth.
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience, with a backend-leaning full stack orientation.
 </li>
 <li>
 Foundational proficiency in programming languages such as Java, Python, or Ruby.
 </li>
 <li>
 Familiarity with building or contributing to platforms and scalable infrastructure systems.
 </li>
 <li>
 Exposure to cloud platforms like AWS or Azure.
 </li>
 <li>
 Ability to break down problems, take ownership of well-scoped tasks, and see them through to completion.
 </li>
 <li>
 Strong problem-solving skills and eagerness to tackle new technical challenges.
 </li>
 <li>
 Clear communication skills and a collaborative, team-first mindset.
 
 
 </li>
 </ul>
 
 Extra Credit
 
 
 
 <ul>
 <li>
 Interest in identity, trust &amp; safety, or fraud prevention.
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 The below benefits are for full-time US employees.
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness:
 
 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, wellness stipend
 
 
 📚
 
 Growth:
 
 Learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at
 
 joinhandshake.com/careers
 
 .
 
 
 Compensation Range: $145K - $170K
 
 
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Software Engineer, Acquisition & Identity

Explore 75+ Backend engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.

75 backend engineer jobs In San Francisco

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