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backend software engineer

Outset

<div>
 Outset invented a better way to do research: AI-powered user interviews.
 
 
 Global brands like Hubspot, Microsoft, Uber and Nestle use Outset to achieve deeper, qualitative insights about their users at unprecedented speed and scale.
 
 
 The research industry is massive (&gt;$140B and growing) and ripe for disruption. Incumbents are outdated, slow, and burdened by high-cost services. That's our opportunity.
 
 
 Outset is backed by top Silicon Valley investors and raised a $30M Series B in December 2025&mdash;less than six months after our Series A&mdash;led by Radical Ventures with participation from M12 (Microsoft&rsquo;s venture arm), 8VC, Y Combinator, and Adverb Ventures.
 
 
 The raise follows a breakout year, with our business growing 8x as enterprise customers across industries adopt our category, AI‑moderated research, as the new standard for understanding people.
 
 
 We&rsquo;re a tight-knit team of 40 based in San Francisco&rsquo;s Financial District, serving some of the world&rsquo;s largest enterprises
 
 
 What you will do:
 
 
 <ul>
 <li>
 Collaborate closely with the CTO and CEO on strategic technical decisions and product direction.
 </li>
 <li>
 Design, develop, and optimize backend services, APIs, and real-time data processing infrastructure.
 </li>
 <li>
 Implement and refine our in-house Large Language Model and real-time interview technology.
 </li>
 <li>
 Lead projects from initial conception through production deployment, ensuring scalability and reliability.
 </li>
 <li>
 Interface directly with users to gather feedback, understand pain points, and continuously improve our core product.
 
 
 </li>
 </ul>
 The ideal candidate will have:
 
 
 <ul>
 <li>
 3+ years of software engineering experience building production-grade backend systems.
 </li>
 <li>
 Strong proficiency with Python and Django, including experience building robust APIs.
 </li>
 <li>
 Extensive knowledge of SQL databases (Postgres preferred).
 </li>
 <li>
 Experience deploying and managing services on AWS.
 </li>
 <li>
 Bonus points for familiarity with WebRTC, real-time data streaming, or AI/ML infrastructure.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Daily collaboration with founders, shaping the core product vision.
 </li>
 <li>
 Exposure to and collaboration with design and research leaders at top global brands.
 </li>
 <li>
 Competitive cash and equity compensation. Actual compensation packages are based on various factors unique to each candidate, including skill set, depth of experience, and certifications.
 
 
 </li>
 </ul>
 
 Outset is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, free from discrimination based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected class.
 
 
 
 Compensation Range: $160K - $300K
 
 
</div>

Backend Software Engineer

Clerkie

<div>
 
 About Clerkie
 
 
 
 Clerkie is a fintech startup on a mission to democratize financial wellness using the power of artificial intelligence. Launched in 2018, Clerkie began with an app, aiming to help the nearly 123 million underserved Americans in need of financial guidance. Since its inception, the company has expanded its services and now pairs consumer guidance with cutting-edge B2B software. By pairing the two through the Clerkie network, these tools have become the go-to resource for creditors looking to manage loan losses while simultaneously helping millions of borrowers get out of debt.
 
 
 Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United States. To date, the company has raised $41 million, including a $33 million Series A round in early 2023. Investors include leading financial and venture institutions, including Citi Ventures, Left Lane Capital, Wellington Ventures, Flourish Ventures, and Vestigo Ventures.
 
 
 
 About the role
 
 
 
 We're looking for a Full-Stack engineer who wants to build, own, and ship end-to-end product experiences in a fast-moving environment. This role is ideal for someone who is comfortable working across the stack - from backend systems to user-facing applications - and is ready to take meaningful ownership of features and systems.
 
 
 At Clerkie, engineers don't just implement specs. You'll collaborate closely with product and design, contribute to technical decisions, and help shape how features come to life from concept through production. Because we're still early, this role goes beyond execution. You'll play a key role in how we build - contributing to system design, product development, and the overall evolution of our platform.
 
 
 
 Here's what you'll do
 
 
 
 <ul>
 <li>
 Build and maintain full-stack features across backend services and user-facing applications
 </li>
 <li>
 Own features end-to-end - from design and implementation through production
 </li>
 <li>
 Contribute to system reliability, performance, and scalability
 </li>
 <li>
 Participate in technical design discussions and architecture decisions
 </li>
 <li>
 Collaborate closely with product and design to deliver high-quality user experiences
 </li>
 <li>
 Improve visibility into system health and performance
 </li>
 <li>
 Contribute to internal engineering practices, tooling, and documentation
 
 
 </li>
 </ul>
 
 Here's a snapshot of what the Engineer team tackled recently
 
 
 
 <ul>
 <li>
 Scaled backend systems to support growing enterprise usage
 </li>
 <li>
 Built new infrastructure to support partner integrations
 </li>
 <li>
 Improved system observability and production reliability
 </li>
 <li>
 Supported high-priority product initiatives tied to revenue growth
 </li>
 <li>
 Collaborated closely with leadership on technical direction and tradeoffs
 </li>
 <li>
 Refined how we build, ship, and maintain systems
 </li>
 <li>
 Helped clean up and organize Coda, our internal knowledge hub, to make life easier for future new hires (like you!)
 </li>
 <li>
 Onboarded a new teammate to the Engineering team and updated internal rituals to set them up for success
 </li>
 <li>
 Spent the day on a private yacht in the Bahamas (yep), swimming with pigs, paddleboarding, jet skiing, and joining our team hackathon on a private island
 </li>
 <li>
 And more! From big wins to team traditions, it's been a big year so far and we're just getting started 😎
 
 
 </li>
 </ul>
 
 Must-haves
 
 
 
 <ul>
 <li>
 Experience building and shipping full-stack applications in production
 </li>
 <li>
 Strong fundamentals in backend development and system design
 </li>
 <li>
 Proficiency in JavaScript / TypeScript (Node.js and modern frontend frameworks)
 </li>
 <li>
 Experience working with databases (NoSQL experience is a plus)
 </li>
 <li>
 Ability to own features end-to-end and operate independently
 </li>
 <li>
 Strong communication skills across technical and non-technical teams
 </li>
 <li>
 Comfort working in a fast-moving startup environment
 
 
 </li>
 </ul>
 
 Nice-to-haves (but not required)
 
 
 
 <ul>
 <li>
 Previous Full-Stack or software engineering experience
 </li>
 <li>
 Experience with cloud infrastructure (e.g., AWS)
 </li>
 <li>
 Experience working on data-intensive or complex applications
 </li>
 <li>
 Familiarity with fintech or regulated environments
 </li>
 <li>
 Experience in early-stage or high-growth startups
 </li>
 <li>
 Curiosity about financial wellness and mission-driven technology
 
 
 </li>
 </ul>
 
 What we value
 
 
 
 <ul>
 <li>
 Strong ownership mindset - you take responsibility for outcomes, not just tasks
 </li>
 <li>
 Bias for action - you move quickly and make thoughtful decisions
 </li>
 <li>
 Customer-first thinking - you care about the real-world impact of what you build
 </li>
 <li>
 Resilience and adaptability - you can navigate ambiguity and evolving priorities
 </li>
 <li>
 Desire to build something meaningful and long-lasting
 
 
 </li>
 </ul>
 
 Our salary &amp; benefits
 
 
 
 <ul>
 <li>
 💰 Salary range: $120-150k
 </li>
 <li>
 💼 Equity
 </li>
 <li>
 💻 Remote-first role (US only)
 </li>
 <li>
 🧘 Medical, dental, and vision insurance
 </li>
 <li>
 📈 401(k) + retirement benefits
 </li>
 <li>
 🌴 Paid time off + annual company retreat
 </li>
 <li>
 💻 Company laptop + home office stipend
 </li>
 <li>
 💙 Collaborative, values-driven culture
 
 
 </li>
 </ul>
 
 Our Hiring Process
 
 
 
 We believe in a two-way interview process that helps us get to know you&mdash;and helps you get to know us.
 
 
 <ul>
 <li>
 
 Application &amp; Coderbyte
 
 (async candidate time)
 </li>
 <li>
 
 Recruiting Screen w/ Head of People
 
 (15-20 minutes via Google meet)
 </li>
 <li>
 
 Take-Home Challenge &amp; Live Review w/ Sr. Engineer
 
 (challenge is async candidate time, live review is 45 mins via Google meet)
 </li>
 <li>
 
 Live Coding Challenge w/ Sr. Engineer
 
 (90 minutes via Google meet)
 </li>
 <li>
 
 Final Management Meeting w/ SLT
 
 (45 minutes via Google meet)
 
 
 </li>
 </ul>
 Before we extend any offers, all candidates must successfully complete a standard background check in addition to a reference check. These checks are conducted in tandem to ensure a safe, secure, and compliant environment for all Clerkie team members and stakeholders. We approach this stage with transparency and sensitivity, and candidates will be provided with clear information about the process.
 
 
 Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
</div>

Full-Stack Engineer

PARASAIL

<div><div>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 fast, cost-efficient, and scalable cloud experience&mdash;free from vendor lock-in and designed for the next generation of AI workloads.</div><div><h3 class="jobSectionHeader">
Job Description</h3>

The Senior Software Engineer, Distributed Systems role at Parasail is crucial for ensuring the seamless deployment, scalability, and security of our AI platform. This position is tailored for individuals passionate about creating robust infrastructures that support complex AI workloads, with a strong emphasis on cloud compatibility, security, ease of use, and cost savings. You will work closely with AI-focused performance and solutions engineering teams, facilitating the orchestration of resources needed for high-performing AI applications, all while ensuring our infrastructure adheres to the highest standards of security and data privacy.
<h3 class="jobSectionHeader">
Technical Abilities</h3>
<ul>
<li>Microservice Architecture: Deep understanding of distributed application design patterns, service decomposition, and inter-service communication. Experience in building scalable and maintainable microservice-based systems.
</li>
<li>Backend Development: Strong foundation in storage solutions and networking protocols. Ability to design and implement robust backend systems with optimized data management and network communication.
</li>
<li>Programming Languages &amp; Frameworks: Extensive experience with Java, Spring Boot, and Golang. Proficiency in developing enterprise-grade applications using modern development frameworks and tools.
</li>
<li>Distributed Systems: Deep knowledge of distributed computing principles, including consistency models, fault tolerance, and scalability patterns. Experience in designing and maintaining large-scale distributed applications.
</li>
<li>Cloud-Native Technologies: Proficiency in cloud platforms and Infrastructure as Code (IaC). Experience with containerization, orchestration, and automated infrastructure deployment using modern DevOps practices.
</li>
<li>Large Language Models: Understanding of LLM technologies and their applications. Experience in integrating and working with AI language models in production environments, including model deployment and optimization.
</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
<ul>
<li>5+ years of experience in backend or infrastructure, with exposure in Kubernetes and distributed computing environments.
</li>
<li>Demonstrated ability to build and secure scalable, high-performance backend.
</li>
<li>Hands-on to build brand new system and make end to end work
</li>
<li>Excellent problem-solving skills, with a track record of designing solutions that address the complex needs of AI workloads.
</li>
<li>While AI experience is not required, a demonstrated capacity to learn new technologies and stay up-to-date on the cutting edge is essential.
</li>
</ul><h3 class="jobSectionHeader">What You Bring to the Table</h3>

This role is pivotal in building a new breed of cloud architecture that enables enterprises to build powerful AI in their preferred environment with the same performance and economics as uncontrolled external services. This role ensures our AI solutions are not just innovative but also secure and sustainable. If you're passionate about learning the cutting edge of AI, building the future of infrastructure, and making a tangible impact to the early days of a company, we're excited to welcome you aboard.</div></div>

Senior Software Engineer, Distributed Systems

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

Uber

<div>About the Role
 
 
The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives. 
 
You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision. 
 
What You Will Do
 
<ul><li>Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.</li><li>
Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.</li><li>
Solve complex challenges at the intersection of low latency, high correctness, and full determinism.</li><li>
Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.</li><li>
Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.</li><li>
Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.</li></ul> 

Basic Qualifications
 
<ul><li>4+ years of experience in data engineering or backend software development.</li><li>
Proficiency in Python, SQL, Java, or Scala for data pipeline development.</li><li>
Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.</li><li>
Data warehouse and Data Modeling experience</li></ul> 
 
Preferred Qualifications 
<ul><li>
Experience in Web and SEO Analytics</li><li>
Experience in Marketing Technologies</li><li>
Designing and executing on Real-time and Near Real-time Systems</li></ul> 
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Data Engineer - Growth and Marketing Platform

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>

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Full-time 
Compensation: $80&ndash;$110/hour 
Location: Remote
Role Responsibilities<ul><li>
Develop and enhance AI-powered interviewing tools and automation systems to optimize the hiring infrastructure.</li><li>
Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates.</li><li>
Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows.</li><li>
Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements.</li><li>
Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity.</li><li>
Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions.</li></ul>
Qualifications
Must-Have<ul><li>
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>
4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#.</li><li>
Experience with scripting languages including Python, PHP, or JavaScript.</li><li>
Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks.</li><li>
Strong problem-solving skills and ability to work independently on complex technical challenges.</li></ul>
Preferred<ul><li>
Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants.</li><li>
Familiarity with GraphQL and modern API design patterns.</li><li>
Experience with React ecosystem including Relay for data fetching.</li><li>
Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications.</li></ul>
Compensation &amp; Legal<ul><li>
Hourly contractor</li><li>
Paid weekly via Stripe Connect</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Java Software Engineer

Explore 179+ Backend software engineer in San Francisco this March. Find roles across top companies and apply now to boost your career.

179 backend software engineer jobs In San Francisco

Backend Software Engineer

Full-Stack Engineer

Senior Software Engineer, Distributed Systems

Software Engineer

Data Engineer - Growth and Marketing Platform

Software Engineer

Java Software Engineer