software engineer developer

Collective

<div>
 
 About Collective
 
 
 
 Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
 
 
 Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a highly motivated Software Engineer to join our growing engineering team. This is an ideal opportunity for someone 0-2 years out of school who wants to work in a fast-paced, high-growth environment. You&rsquo;ll work on financial products that directly impact self-employed individuals and small businesses across the U.S.
 
 
 As a key contributor on our product engineering team, you&rsquo;ll work closely with experienced engineers, product managers, and designers to build and scale core features of our platform. If you're excited to ship fast, learn constantly, and have real product impact from day one, we would be excited to meet you.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Drive end-to-end implementation of features that directly impact solopreneur financial outcomes, owning them from design to launch.
 </li>
 <li>
 Integrate and leverage AI tools (such as Generative AI and LLMs) to build intuitive, automated user experiences and achieve non-linear scalability.
 </li>
 <li>
 Contribute across the full stack (Python/Django, React/TypeScript) to develop core features and build systems that replace manual financial workflows.
 </li>
 <li>
 Collaborate cross-functionally with Product and Design to translate business requirements into best-in-class product experiences and high-impact solutions.
 </li>
 <li>
 Actively participate in technical discussions, code reviews, and planning sessions to elevate engineering practices and shape the technical foundation as we scale.
 </li>
 <li>
 Learn rapidly from senior engineers, consistently developing your expertise and problem-solving skills in a high-growth environment.
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 0&ndash;2 years of experience with a degree in Computer Engineering or a related field.
 </li>
 <li>
 A product mindset, committed to balancing technical excellence with tangible customer and business impact.
 </li>
 <li>
 Eagerness to explore and apply new technologies, including Generative AI and LLMs, to solve complex challenges and automate financial workflows.
 </li>
 <li>
 A proficiency in a core programming language to have built real projects or contributed to a team, and highly motivated to learn more.
 </li>
 <li>
 Familiarity with modern web technologies, either through internships or academic projects.
 </li>
 <li>
 Based in the Bay Area and are committed to a hybrid schedule (3 days/week onsite in SF).
 </li>
 <li>
 Curious, collaborative, a strong sense of ownership and urgency.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.
 </li>
 <li>
 Fresh Lunch: Provided on in-office days.
 </li>
 <li>
 Commuter Support: $150 monthly reimbursement for transit expenses.
 </li>
 <li>
 Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.
 </li>
 <li>
 Time Off: Flexible PTO plus 14 company holidays.
 </li>
 <li>
 Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.
 </li>
 <li>
 Parental Leave: 16 weeks fully paid.
 </li>
 <li>
 Retirement &amp; Ownership: 401k plan plus an equity package.
 </li>
 <li>
 Team Connection: Quarterly virtual events and an annual in-person summit.
 </li>
 </ul>
</div>

Software Engineer (New Grad)

Notion

<div>
 Who We Are
 
 
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 
 
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 
 
 
 About The Role
 
 
 
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 
 
 We're looking for an New Grad AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 
 
 
 Role
 
 
 
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 
 
 <ul>
 <li>
 AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
 </li>
 <li>
 Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
 </li>
 <li>
 Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
 
 
 </li>
 </ul>
 What You&rsquo;ll Achieve
 
 
 <ul>
 <li>
 Partner with your team to prototype and ship an AI-powered product improvement
 </li>
 <li>
 Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
 </li>
 <li>
 Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Pursuing a bachelor's or master&rsquo;s degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.
 </li>
 <li>
 Previous internship experience.
 </li>
 <li>
 Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.
 
 
 </li>
 </ul>
 Skills You'll Need To Bring
 
 
 <ul>
 <li>
 Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
 </li>
 <li>
 Problem-solving: You&rsquo;re curious and methodical. You ask good questions, break down ambiguous problems into smaller pieces, and iterate with feedback from teammates. You think about how what you build will impact users and the business.
 </li>
 <li>
 Communication and collaboration: You communicate clearly in writing and in meetings, and you&rsquo;re comfortable learning in public&mdash;sharing early work, asking for help, and incorporating feedback. You enjoy partnering with engineers and cross-functional teammates (product, design, data).
 </li>
 <li>
 Impact and user focus: You care about building the right thing, not just building it quickly. You prioritize work based on user needs and outcomes, and you&rsquo;re mindful that features at Notion can reach millions of people.
 
 
 </li>
 </ul>
 Nice To Haves
 
 
 <ul>
 <li>
 You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.
 </li>
 <li>
 You&rsquo;re a builder who finds joy in building software solutions for yourself or others
 </li>
 <li>
 You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $126,000-$146,000.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
 A Note on AI
 
 
 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 
 
 Equal Opportunity &amp; Accommodations
 
 
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
</div>

Software Engineer, New Grad (AI)

Heliux

<div>
 
 About Heliux
 
 
 
 Heliux is a software platform that unifies and accelerates enterprise-wide operations for manufacturers. Our centralized operating system models cross-functional teams, workflows, and data into a single system of execution.
 
 
 Powering organizations across engineering, planning, supply chain, production, quality, accounting, and more, Heliux enables manufacturers to intelligently optimize end-to-end operational and financial performance.
 
 
 Headquartered in San Francisco, CA, Heliux is on a mission to drive unprecedented velocity in manufacturing. We&rsquo;re proudly backed by New Stack Ventures, Marlinspike, Humba Ventures, Amplify.LA, Crosscut Ventures, and Lux Capital.
 
 
 
 About The Role
 
 
 
 Engineers at Heliux are directly responsible for end-to-end design, development, and delivery of our core software platform:
 
 
 <ul>
 <li>
 Acquire expertise in hardware engineering and manufacturing through immersive, hands-on problem-solving with our customers.
 </li>
 <li>
 Rapidly design, build, test, deliver, and maintain complex software systems that are performant, reliable, and scalable.
 </li>
 <li>
 Contribute to the high-level technical direction of both the organization and the platform to ensure we are always accelerating the velocity of our work.
 </li>
 <li>
 Relentlessly solve any and all technical problems that stand in the way of company objectives&mdash;and therefore, our success.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven experience building complex, scalable software systems from zero-to-one&mdash;i.e., problem identification to production-grade solution.
 </li>
 <li>
 Demonstrated proficiency in programming languages such as Rust, Python, Java, TypeScript, or similar.
 </li>
 <li>
 Inherent desire to operate with extreme levels of urgency across all aspects of life and work.
 
 
 </li>
 </ul>
 
 About Our Stack
 
 
 
 <ul>
 <li>
 Frontend: React, TypeScript, NextJS, ThreeJS
 </li>
 <li>
 Backend: Rust, Python w/ FastAPI and Flask
 </li>
 <li>
 Database &amp; Infra: PostgreSQL, DynamoDB, Standard and Government AWS: RDS, S3, ECS, SQS
 </li>
 <li>
 Runtime: Electron, Docker
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive compensation package, including company equity.
 </li>
 <li>
 Healthcare coverage across medical, dental, and vision.
 </li>
 <li>
 Unlimited PTO.
 </li>
 <li>
 Monthly company-sponsored lunches and/or outings.
 
 
 </li>
 </ul>
 All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
 
 
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
 
 
 <ul>
 <li>
 1157, or (iv) Asylee under 8 U.S.C.
 </li>
 <li>
 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 </li>
 </ul>
</div>

Software Engineer

Airbyte

<div>Airbyte is the data and action layer for AI agents. We give agents fast, accurate, authenticated access to business data across hundreds of sources, so they can discover the entities that matter, reason over real-time context, and take action in the systems they read from, not just observe them.
We started as the open-source standard for data movement and proved the economics of data integration at scale: hundreds of connectors, thousands of companies, and, since 2020, have raised $181M from leading investors including Benchmark, Accel, Altimeter, Coatue, and Y Combinator. As our CEO Michel Tricot puts it, &quot;the last ten years were all about structured data. The future is all about context.&quot; We're now building that context infrastructure for production-grade agents on the same open foundation, as agents become the primary consumers of enterprise data.
Our mission is unchanged: make data available and actionable to everyone, everywhere. That everyone now includes AI agents.<h2 class="jobSectionHeader">
Engineering Hiring Sprint:</h2>
We're growing our engineering team and are accelerating hiring through a focused Engineering Hiring Sprint. Rather than stretching interviews over several weeks, we're bringing exceptional candidates through an expedited process and making hiring decisions quickly.
Interview process:<ul><li>
Apply</li><li>
Technical Take-Home (Java or Python)</li><li>
Hiring Manager Interview</li><li>
In-Person Onsite (the week of July 20)</li><li>
Hiring decision by the end of the week</li></ul>
We're hiring across multiple engineering teams, including:<ul><li>
Platform Engineers</li><li>
Database Engineers</li><li>
Site Reliability Engineers</li><li>
Extensibility API Engineers</li><li>
AI Agents Engineers</li><li>
Engineering Managers</li></ul>
If you enjoy solving complex technical problems, moving quickly, embracing AI, and taking ownership of your work, we'd love to meet you.<h2 class="jobSectionHeader">
The Role:</h2>
Airbyte is looking for an Engineering Manager, Platform to lead the team responsible for the infrastructure, tooling, and engineering systems that power Airbyte Cloud, Airbyte Flex, and Airbyte Agents.
As an Engineering Manager on the Platform team, you'll lead the engineers responsible for cloud infrastructure, deployment systems, CI/CD, observability, reliability, and the internal tooling that powers engineering velocity across the company. Your work directly shapes both how fast engineers ship and how customers experience Airbyte. This isn't a keep-the-lights-on role. You'll make real tradeoffs between engineering velocity, customer-facing reliability, and long-term architecture every week, and you'll help define how AI transforms the way we build and operate software.
This role combines people leadership, technical strategy, operational excellence, and platform thinking. You'll help define how engineering works at Airbyte - not just what we build.<div> 
</div><h2 class="jobSectionHeader">
What You&rsquo;ll Do:</h2><ul><li>
Lead, mentor, and grow a team of Platform Engineers, Fullstack Engineers, and SREs. Recruit engineers who understand that infrastructure decisions are product decisions.</li><li>
Own the reliability and operational health of Airbyte's production systems.</li><li>
Define the roadmap for Airbyte's platform: infrastructure, CI/CD, deployment automation, observability, internal tooling, and the product surfaces built on top of them.</li><li>
Invest in and drive adoption of AI-powered workflows for debugging, release validation, infrastructure management, and developer productivity, moving past experimentation into real operational leverage.</li><li>
Lead incident response, run blameless postmortems, and ensure systemic fixes follow every outage. Continuously reduce operational toil through automation.</li><li>
Build leverage: a week-long task this year should take ten minutes next year.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Success Metrics:</h2><ul><li>
Engineers deploy with confidence and ship faster quarter over quarter.</li><li>
Platform reliability improves as measured by customer-facing SLAs, not just internal dashboards.</li><li>
Operational toil decreases through automation, not heroics.</li><li>
Incidents are detected faster, resolved faster, and the same failure doesn't happen twice.</li><li>
Your team is engaged, growing, and building careers they're proud of.</li></ul><div> 
</div><h2 class="jobSectionHeader">
What You&rsquo;ll Need:</h2><ul><li>
5+ years of software engineering experience, 2+ years managing engineering teams.</li><li>
Experience leading Platform Engineering, Infrastructure, SRE, or Developer Productivity organizations.</li><li>
Strong understanding of cloud infrastructure, CI/CD, observability, and distributed systems.</li><li>
Experience operating production systems at scale.</li><li>
You think about platform work in terms of customer impact, not just engineering elegance.</li><li>
You've navigated the tension between paying down tech debt and shipping product, and you can articulate how you made those calls.</li><li>
Excellent communication skills. You can translate platform strategy into language that product, design, and business leaders understand.</li><li>
You have an insatiable desire to ship.</li></ul><h2 class="jobSectionHeader">
Nice To Have:</h2><ul><li>
Experience with AI-assisted engineering workflows or agentic software development.</li><li>
Experience building internal developer platforms.</li><li>
Familiarity with Terraform, Helm, Kubernetes, GitHub Actions, and cloud-native infrastructure.</li><li>
Experience with data infrastructure, ETL/ELT, or large-scale distributed systems.</li><li>
Experience contributing to open-source engineering organizations.</li><li>
Familiarity with Airbyte, connector ecosystems, or developer tooling platforms.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Why This Role Matters:</h2>
Platform Engineering is the force multiplier for every engineering team at Airbyte.
Your mission is to build the systems, tooling, and infrastructure that enable engineers to move faster while making our platform more reliable, secure, and scalable. Success means every deployment becomes safer, every incident becomes easier to resolve, every engineer becomes more productive, and AI becomes a natural part of how software is built.
The best platform teams are invisible&mdash;they make everyone else dramatically more effective. That's the team you'll build.<h2 class="jobSectionHeader">
Location:</h2><ul><li>
Onsite 4 days/week in San Francisco, CA</li></ul><h2 class="jobSectionHeader">
Why You'll Love Working at Airbyte:</h2>
At Airbyte, we believe great work happens when people feel supported, trusted, and empowered to grow. Our market-leading Total Rewards package is designed to help you thrive professionally and personally. Our benefits and perks include:<ul><li>
Flexible PTO with a culture that encourages at least 25 days off annually</li><li>
16 weeks fully paid parental leave for all parents</li><li>
Comprehensive medical, dental, and vision coverage for employees and dependents</li><li>
401(k) retirement plan</li><li>
Professional development budget, conference sponsorship, and book reimbursement</li><li>
Commuter benefits and monthly internet reimbursement</li><li>
Breakfast and lunch in our San Francisco office</li><li>
A collaborative, in-person culture focused on learning, growth, and impact</li></ul>
If you find this role exciting, we encourage you to apply even if you think you don&rsquo;t meet all of the requirements!
We are not accepting agency submissions or recruiting firm support for this role. Unsolicited resumes will not be considered.
Airbyte is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Airbyte is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodations due to a disability.
Compensation Range: $217K - $282K</div>

Engineering Manager, Platform - Hiring Sprint

Vast

<div><h1 class="jobSectionHeader">Developer Experience Engineer</h1>
Vast.ai &middot; Los Angeles or San Francisco Bay Area<h3 class="jobSectionHeader">
About Us</h3>
Vast.ai&rsquo;s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing&mdash;reshaping our future for the benefit of humanity.
We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.
We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.
We've never had a dedicated role focused on the developers who build on Vast: the people renting compute from us to train and ship their models. That's what we're hiring for. You'll be our first DevEx Engineer, and you'll own the experience of building on Vast: the reference implementations and example code developers copy, and how we show up in the community around them.<h2 class="jobSectionHeader"> 
Why now</h2>
There's already an active community around Vast in our Discord, on Reddit, on X, and in YouTube comments. Some of it is the builders you'll serve; some of it is hosts and noise. Nobody on our side is really in there today, and our competitors staff this heavily. So part of the job is showing up for the developers who are already here, and part of it is growing the right audience around them. 
 
What you'll own<ul><li>
Technical content. Tutorials, example repos, and short videos that show people how to get something running on Vast. The useful kind that developers pass around on their own.</li><li>
Product feedback. You'll hear what's broken before anyone else does. Get it back to the product team, clearly and often.</li><li>
Events. Run our presence at hackathons (we already have sponsorships lined up), meetups, and conferences, including getting on a plane and showing up in person.</li><li>
Community. Be a real presence in our Discord, on Reddit, and on X. Answer the actual technical questions people ask, the kind they post at 1am when a container won't start. Set the tone for how Vast talks to developers.</li><li>
Creator partnerships. Work with developer-focused YouTubers and other creators, the ones with real audiences rather than bought ones.</li></ul> 
What you won't own
To be straight about scope: this role doesn't cover paid ads, brand and positioning strategy, or the growth dashboard. It's also focused on the demand side, the developers who build on Vast, not our GPU hosts and suppliers, who have their own very different needs. Other people own all of that and you'll partner with them. We want your time going into the builder community and the content that serves it, because that's where it pays off. 
 
Who you are<ul><li>
You've been an engineer. You can deploy a model and debug someone's setup, and developers can tell you've done the work yourself. This part can't be faked.</li><li>
You've built a developer community before, ideally close to from scratch. You know what makes one grow and what quietly kills it.</li><li>
You like people more than most engineers do. Writing, posting, talking, showing up at events. That's the actual day-to-day.</li><li>
You run yourself. Nobody's going to hand you a content calendar, and you'd rather ship something than sit in a planning meeting about it.</li></ul> 
Nice to have<ul><li>
Time at a cloud, GPU, AI-infrastructure, or developer-tools company.</li><li>
Something you've made that traveled: a tutorial series people reference, a repo with real stars, a talk that got passed around.</li><li>
Working knowledge of the AI/ML stack: model deployment, inference, fine-tuning.</li></ul> 
Your first 90 days<ul><li>
Get a steady, regular presence going on Reddit and Discord.</li><li>
Ship your first batch of tutorials and example repos.</li><li>
Represent Vast at a hackathon we're already sponsoring this summer.</li><li>
Give us a clear read on how other GPU and AI-infra companies show up with developers, and where we're behind.</li></ul> 
Compensation and location
$160,000&ndash;$200,000 base depending on experience, plus equity. We're profitable, venture-backed, and growing, so the equity is a stake in a real company with a real valuation, not a lottery ticket. Los Angeles or San Francisco Bay Area. Travel and conference budget covered.<h3 class="jobSectionHeader">
Benefits</h3><ul><li>
Comprehensive health, dental, vision, and life insurance</li><li>
401(k) with company match</li><li>
Meaningful early-stage equity</li><li>
Onsite meals, snacks, and close collaboration with founders/tech leaders</li><li>
Ambitious, fast-paced startup culture where initiative is rewarded</li></ul>
Compensation Range: $160K - $200K</div>

Developer Experience Engineer

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $180,000&ndash;$220,000 + competitive equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech<h2 class="jobSectionHeader">
The Role</h2>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.
What you'll be doing<ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul>
Tech stack: Not specified<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $180,000&ndash;$220,000 + equity</li><li>
Visa sponsorship: O-1, OPT</li><li>
Employment type: Full-time</li></ul></div>

Software Engineer, RL Environments

Okta

<div>Secure Every Identity, from AI to Human 
 
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. 
 
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. 


Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology - anywhere, on any device or app. Our Identity as a Service solution enables secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences.
<h2 class="jobSectionHeader">
The Engineering Opportunity</h2>

Okta's Workforce Identity Cloud (WIC) secures billions of global logins every day. The Resilience Team within WIC maximizes service availability by building foundational, high-scale systems. Our engineers solve complex distributed-systems challenges - from database proxies to traffic shaping - to ensure the platform remains trustworthy and reliable for every customer.

We are seeking a Staff Back-End Software Engineer to lead technical initiatives and own the reliability of our expanding Identity as a Service platform.

In this role, you will develop microservices, build innovative frameworks, and optimize our cloud-native environment. You will champion reliability during design phases and collaborate across teams to address technical gaps.

We value iterative development, automated testing, and individual ownership. Join our creative, fast-paced team to work on impactful projects that are redefining the cloud computing landscape.
<h2 class="jobSectionHeader">
Job Duties and Responsibilities</h2>
<ul><li>Partner with engineering teams to design, develop, and deliver cloud-based infrastructure projects that solve complex reliability issues and help Okta&rsquo;s service scale.</li>
<li>Design and implement robust backend frameworks, tools, microservices, and library components for the entire engineering organization to use at scale.</li>
<li>Champion innovative, scalable, and resilient solutions across the engineering organization, advising other teams on fault-tolerant system design.</li>
<li>Actively explore and integrate modern AI-driven developer tooling, automated diagnostics, and predictive monitoring capabilities to streamline performance testing, accelerate debugging, and optimize service reliability.</li>
<li>Conduct rigorous design and code reviews. Raise the engineering bar by implementing high-quality unit and functional tests to ensure robust programming standards.</li>
<li>Participate in and lead incident Root Cause Analysis (RCA) processes to continuously improve reliability, identify systemic weaknesses, and build long-term mitigation strategies.</li>
<li>Collaborate closely with Architects, QA, Product Owners, Engineering Services, and Tech Ops to deliver highly secure and dependable software.</li>
<li>Help with mentoring new engineering hires and interns.</li>
</ul><h2 class="jobSectionHeader">Minimum Required Knowledge, Skills, and Abilities</h2>
<ul><li>8+ years of experience as a software developer with deep, expert-level knowledge of Java (Golang experience is a strong plus).</li>
<li>Demonstrated history of architecting, implementing, tuning, and debugging global cloud software. Deep understanding of microservices, cloud infrastructure (AWS preferred, Azure, or GCP), and modern container ecosystems (Docker, Kubernetes).</li>
<li>Proven track record of addressing scaling, redundancy, and performance bottlenecks in high-availability, multi-tenant SaaS environments.</li>
<li>Practical experience or strong interest in leveraging generative AI utilities and developer assistance tools (e.g., AI coding assistants, automated code-generation, intelligent log analytics, or predictive profiling tools) to drive development productivity and system optimization.</li>
<li>Outstanding communication and leadership skills with a proven ability to coordinate high-impact technical projects, manage stakeholder alignment, and influence technical direction.</li>
<li>Previous experience in a dedicated platform reliability, resilience, or core infrastructure role is highly valued.

***The employee must be either a U.S. citizen as defined in 42 U.S. Code &sect; 9102; a natural person who is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3); or a U.S. national (i.e. includes citizens and non-citizens born in outlying possessions such as American Samoa and Swains Island), green card holders, refugees, and asylees. Working on a U.S. visa does NOT qualify as a U.S. person.
</li>
</ul><h2 class="jobSectionHeader">Education and Training</h2>
<ul><li>B.S. or M.S. in Computer Science, a related field, or equivalent industry experience.</li>
</ul>
#LI-Hybrid 
#LI-MA1

(P24485_3396786) 
Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000&mdash;$243,000 USD
The Okta Experience
<ul><li>
Supporting Your Well-Being</li>
<li>Driving Social Impact</li>
<li>Developing Talent and Fostering Connection + Community</li>
</ul>
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. 
 
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Matt- Staff Software Engineer, Resiliency

Explore 59+ Software engineer developer in San Francisco this July. Find roles across top companies and apply now to boost your career.