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Stainless

<div>
 
 About Stainless
 
 
 
 Stainless is a fast-growing tech startup building the future of APIs. Our customers include industry leaders like OpenAI, Anthropic, and Cloudflare.
 
 
 We have raised over $35 million from a16z, Sequoia, and founders/C-levels from Stripe, Datadog, Segment, Linear, and more.
 
 
 We are headquartered in NYC, just west of SoHo, and are a team of ~60 strong expecting to double in the next ~9 to 12 months.
 
 
 
 
 Role
 
 
 
 
 Joining as a generalist engineer, you&rsquo;ll have a focus area, but we&rsquo;ll all be pitching in on every aspect of the company and acting with a high degree of ownership in a collegial, humble atmosphere.
 
 
 You'll build the core systems that form the foundation of the company for years, both scrappily getting things done wherever help is needed and thinking deeply on foundational architecture.
 
 
 
 
 Who you are
 
 
 
 
 <ul>
 <li>
 Experience level to build anything you can imagine, with great design and sound architecture.
 </li>
 <li>
 Built and/or maintained a popular open-source project.
 </li>
 <ul>
 <li>
 Alternatively, maintained internal abstractions used across an engineering org.
 </li>
 </ul>
 <li>
 Experience consuming APIs you didn&rsquo;t control, produced APIs you didn&rsquo;t consume, and been the sole consumer of an API you built and could iterate on.
 </li>
 <li>
 Location: onsite in our physical office location in Manhattan, New York.
 </li>
 </ul>
 <ul>
 <li>
 Experience both designing and stewarding APIs at scale, whether internal or external.
 </li>
 <li>
 Ability to build great abstractions that stand the test of time when used by other engineers of varying skill levels, beginner to formidable.
 </li>
 <li>
 A true passion for developer experience and empathy for developers from all backgrounds (junior, non-traditional etc).
 </li>
 <li>
 Quick learner, self-motivated, and able to execute quickly whilst maintaining high quality.
 </li>
 <li>
 Great product sense.
 </li>
 <li>
 Programming languages:
 </li>
 <ul>
 <li>
 Expertise with TypeScript, our language of choice.
 </li>
 <li>
 Broad polyglot interest/experience &ndash; comfort working across multiple programming languages.
 </li>
 </ul>
 <li>
 Bonus points:
 </li>
 <ul>
 <li>
 Have used GraphQL and appreciate its benefits and drawbacks.
 </li>
 <li>
 Experience / interest working with ASTs (eg, lint rules, rich codemods, compilers, etc).
 </li>
 <li>
 Experience and/or interest in writing blogs, speaking at conferences and engaging with developer communities.
 
 </li>
 </ul>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 We offer competitive salary and generous equity grants.
 </li>
 <li>
 Great healthcare coverage options (e.g., fully covered platinum plans).
 </li>
 <li>
 Paid commuter benefits &amp; similar.
 </li>
 <li>
 Paid team lunch/meals during workdays.
 </li>
 <li>
 Flexible PTO plus 3 weeks of company-wide vacation a year (2 weeks in December, 1 week at the end of the summer).
 </li>
 <li>
 Flexible WFH and 1 month fully remote per year ("remote February").
 
 
 </li>
 </ul>
 Compensation Range: $150K - $260K
 
 
</div>

Software Engineer, Generalist

Weekday (YC W21)

<div>
 
 This role is for one of our clients
 
 
 
 Location:
 
 New York City, NY
 
 
 Salary Range:
 
 $150,000 &ndash; $250,000 (Base)
 
 
 
 Requirements
 
 
 
 About the Role
 
 
 
 
 We are seeking a talented and motivated
 
 Software Engineer
 
 to join our growing engineering team in
 
 New York City
 
 . In this role, you will design, build, and scale high-quality software systems that power core products and services. You will collaborate closely with product managers, designers, and other engineers to deliver reliable, scalable, and user-focused solutions.
 
 
 
 This position is ideal for engineers who enjoy solving complex technical problems, building systems from the ground up, and working in a fast-paced, collaborative environment.
 
 
 
 
 Required Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
 
 
 </li>
 <li>
 
 3+ years of professional software engineering experience
 
 
 </li>
 <li>
 
 Strong proficiency in at least one modern programming language (such as Python, Java, Go, JavaScript, or TypeScript)
 
 
 </li>
 <li>
 
 Experience building scalable backend services, APIs, or distributed systems
 
 
 </li>
 <li>
 
 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure)
 
 
 </li>
 <li>
 
 Experience with modern software development practices including Git, CI/CD, and automated testing
 
 
 </li>
 <li>
 
 Strong problem-solving and debugging skills
 
 
 </li>
 <li>
 
 Ability to work effectively in a collaborative, cross-functional environment
 
 
 
 
 
 </li>
 </ul>
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 
 Experience building products from early-stage development through scale
 
 
 </li>
 <li>
 
 Familiarity with microservices architecture and containerization technologies (e.g., Docker, Kubernetes)
 
 
 </li>
 <li>
 
 Experience working with modern frontend frameworks (e.g., React)
 
 
 </li>
 <li>
 
 Knowledge of databases such as PostgreSQL, MySQL, or NoSQL systems
 
 
 </li>
 <li>
 
 Interest in emerging technologies such as AI, machine learning, or large-scale data systems
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 
 
 Base Salary:
 
 $150,000 &ndash; $250,000 (depending on experience and qualifications)
 
 
 </li>
 <li>
 
 Competitive equity or bonus opportunities
 
 
 </li>
 <li>
 
 Comprehensive health, dental, and vision benefits
 
 
 </li>
 <li>
 
 Generous paid time off and holidays
 
 
 </li>
 <li>
 
 Professional development and learning opportunities
 
 
 </li>
 <li>
 
 Collaborative and innovative work environment in New York City
 
 
 </li>
 </ul>
</div>

Software Engineer

M7 Health

<div>
 
 About M7 Health
 
 
 
 M7 Health is the AI-powered workforce operations platform for healthcare, designed for the realities of clinical staffing and scheduling. We use AI to help organizations forecast demand, auto-balance schedules, and deploy the right person to fill every shift before resorting to premium labor spend. The result: health systems reduce overtime, cut contract labor costs, and give clinical leaders time back to focus on care. Built with the earned wisdom of nurses, M7 serves tens of thousands of healthcare professionals daily and activated over 100 net new hospitals across 29 states, last year alone.
 
 
 M7 recently raised a $10M Series A, backed by Threshold and First Round Capital, and we're building the team to match our ambition.
 
 
 
 What You'll Do At M7
 
 
 
 We're looking for a Software Engineer to help us redefine how hospitals manage nursing staff. You'll be a hands-on builder contributing to large technical initiatives and collaborating closely with product managers and healthcare operations experts.
 
 
 
 Your Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Execute With Impact: Deliver high-quality, high-visibility features that power hospital operations nationwide.
 </li>
 <li>
 Leverage AI: Apply AI/ML techniques to enhance scheduling intelligence, streamline workflows, and surface actionable insights for healthcare staff.
 </li>
 <li>
 Architect Solutions: Help design and evolve our backend for reliability, performance, and growth.
 </li>
 <li>
 Collaborate Deeply: Partner with Product, Ops, and Customer teams to turn user needs into elegant, impactful solutions.
 </li>
 <li>
 Maintain Quality: Write clean, well-tested, and maintainable code. Support team productivity through code reviews and best practices.
 </li>
 <li>
 Think Beyond the Code: At our stage, everyone contributes beyond their job description&mdash; whether it's solving customer challenges or refining team processes.
 
 
 </li>
 </ul>
 
 You'll Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle.
 </li>
 <li>
 Full-Stack Proficiency: You're comfortable across the stack and ideally experienced with:
 </li>
 <ul>
 <li>
 Frontend: React, TypeScript, Vite
 </li>
 <li>
 Backend: Node.js, NestJS, TypeORM
 </li>
 <li>
 Database: PostgreSQL
 </li>
 <li>
 Infrastructure: AWS or similar cloud infrastructure
 </li>
 </ul>
 <li>
 Builder's Mindset: You love turning ideas into software and iterating fast based on feedback, and can balance your own contributions with unblocking others on your team.
 </li>
 <li>
 Product Intuition: You think like a user, making tradeoffs that prioritize usability and real-world impact
 </li>
 <li>
 Strong Communicator: You explain complex ideas clearly and collaborate effectively across technical and non-technical teams.
 
 </li>
 </ul>
 
 Hybrid Environment
 
 
 
 We believe a regular cadence of in-person collaboration accelerates learning, reinforces team culture, and drives efficiency for early-stage companies. In this spirit, we work in a hybrid structure, working two days per week in our Manhattan office.
 
 
 Please note that M7 is unable to sponsor or transfer H1B visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship.
 
 
 
 Compensation And Benefits
 
 
 
 This role offers industry-competitive compensation, including cash compensation, equity, and healthcare benefits.
 
 
 
 Equal Opportunity Employer
 
 
 
 At M7 Health, we aim to foster a workplace free from discrimination. We believe that diversity of experience, perspectives, and backgrounds leads to a better environment for our people and a better product for our clients. M7 Health is an equal-opportunity employer and encourages all applicants from every background and life experience to apply.
</div>

Giga

<div>
 
 About Giga
 
 
 
 Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We&rsquo;re building the next generation of customer experience &mdash; real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world&rsquo;s largest enterprises.
 
 
 It&rsquo;s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.
 
 
 The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:
 
 
 <ul>
 <li>
 Voice AI startup Giga raises $61M Series A
 </li>
 <li>
 DoorDash and Giga Partnership
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!
 
 
 
 The Role
 
 
 
 We're looking for software engineers to help build the systems that power our AI agents. You'll work across the backend, from data pipelines and integrations to agent infrastructure, shipping features alongside experienced engineers who will help you grow.
 
 
 This is a role where you'll contribute to real problems from day one. We expect you to ramp up quickly, take ownership of your work, and operate with increasing independence as you learn the codebase.
 
 
 
 What You'll Work On
 
 
 
 You'll contribute to projects across our stack. Some examples:
 
 
 <ul>
 <li>
 Atlas: Building features for our AI assistant: charts and alerts in Slack, natural language queries, and expanding Atlas to manage platform resources
 </li>
 <li>
 Activity Stream: Log visualization with filters, timestamps, and frequency charts to give visibility into agent behavior
 </li>
 <li>
 Dynamic knowledge: Adding time-based knowledge (like ongoing incidents) that auto-updates from sources like status pages
 </li>
 <li>
 Agent memory: Conversation awareness and recent interaction lookups so agents remember context across sessions
 
 
 </li>
 </ul>
 As an early-career engineer, you'll be paired with senior engineers on larger initiatives while also owning smaller projects end-to-end as you ramp up.
 
 
 
 You Might Be a Fit If You
 
 
 
 <ul>
 <li>
 Have 1-3 years of professional software engineering experience
 </li>
 <li>
 Are curious and ask good questions&mdash;you want to understand why things work, not just how
 </li>
 <li>
 Can take feedback well and iterate quickly
 </li>
 <li>
 Prefer shipping over perfection but still care about quality
 </li>
 <li>
 Want to grow at a startup where you'll have real responsibility early
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive base + bonus + equity
 </li>
 <li>
 Catered lunch daily
 </li>
 <li>
 Dinner stipend
 </li>
 <li>
 $500/month wellness &amp; commuter benefit (gym, fitness classes, mental health)
 </li>
 <li>
 401(k) plan
 </li>
 <li>
 Medical, dental, and vision coverage
 
 
 </li>
 </ul>
 Giga is an equal opportunity employer. We're committed to providing equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
 
 
 Compensation Range: $160K - $250K
 
 
</div>

Software Engineer I / II

Mercor

<div>
 
 About Mercor
 
 
 
 Mercor's mission is to organize human intelligence to power the AI economy. 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 San Francisco, NYC, or London offices.
 
 
 
 About The Role
 
 
 
 As a
 
 Software Engineer on Applied AI
 
 , you&rsquo;ll build, deploy, and operate systems that sit directly between frontier AI research and data delivery.
 
 
 This is a high-ownership, deeply technical role. You&rsquo;ll work through ill-defined problems, prototype quickly with researchers and customers, and take systems from early experiments to reliable, scalable production. You&rsquo;ll own projects end-to-end: spanning requirements gathering, creating data creation pipelines, and improving model-adjacent infrastructure, while partnering closely with frontier AI labs and Mercor&rsquo;s internal teams to ship high-impact applied AI solutions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
 </li>
 <li>
 Build and operate scalable data pipelines for post-training workflows and model evaluations
 </li>
 <li>
 Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
 </li>
 <li>
 Prototype new data types, benchmarks, and evaluation frameworks
 </li>
 <li>
 Lead technical discussions with customers
 
 
 </li>
 </ul>
 
 What Makes This Role Different
 
 
 
 <ul>
 <li>
 Direct frontier exposure. You&rsquo;ll work closely with researchers at leading AI labs, building infrastructure that directly accelerates cutting-edge research.
 </li>
 <li>
 Coding + customer work. This role blends deep technical execution with customer interaction. Engineers who enjoy both building and communicating tend to thrive.
 
 
 </li>
 </ul>
 
 Day-to-Day
 
 
 
 <ul>
 <li>
 Fast-moving, high-ownership environment
 </li>
 <li>
 Technically demanding, collaborative work
 </li>
 <li>
 &ldquo;Building the plane while flying it&rdquo;
 </li>
 <li>
 In-person culture (SF, 181 Fremont)
 </li>
 <li>
 Aligned with frontier research timelines
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)
 </li>
 <li>
 Experience with model training and inference
 </li>
 <li>
 Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
 </li>
 <li>
 Familiarity with evaluation methods for large language models
 </li>
 <li>
 Comfort working through ambiguity and shipping iteratively
 
 
 </li>
 </ul>
 
 You&rsquo;re Likely Someone Who
 
 
 
 <ul>
 <li>
 Enjoys ownership and customer-facing problem solving
 </li>
 <li>
 Thinks entrepreneurially and moves quickly
 </li>
 <li>
 Balances speed with engineering rigor
 </li>
 <li>
 Communicates clearly with technical and non-technical users
 
 
 </li>
 </ul>
 
 Why Engineers Join
 
 
 
 <ul>
 <li>
 Direct exposure to frontier AI research
 </li>
 <li>
 Real ownership and visible impact
 </li>
 <li>
 Technical depth paired with human interaction
 </li>
 <li>
 Fast feedback loops and high leverage
 </li>
 <li>
 There are very few roles that combine this level of technical rigor, customer proximity, and research exposure.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Bi-annual performance bonus structure
 </li>
 <li>
 Generous equity grant vested over 4 years
 </li>
 <li>
 Up to $15k Relocation bonus
 </li>
 <li>
 $10K proximity bonus (if you live within 0.5 miles of our office)
 </li>
 <li>
 $1.5K monthly stipend for meals
 </li>
 <li>
 Free Equinox membership
 </li>
 <li>
 $200 monthly laundry reimbursement
 </li>
 <li>
 $200 monthly personal wellness reimbursement
 </li>
 <li>
 Health, Dental, Vision insurance
 
 
 </li>
 </ul>
 Compensation Range: $130K - $500K
 
 
</div>

Software Engineer, Applied AI

Pave

<div>
 
 Who We Are
 
 
 
 At Pave, we're building the industry&rsquo;s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
 
 
 Top tier companies like OpenAI, McDonald&rsquo;s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.
 
 
 The future of pay is real-time &amp; predictive, and we&rsquo;re making it happen right now. We&rsquo;ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
 
 
 
 Core Platform @ Pave
 
 
 
 The Core Platform team sits at the center of Pave Engineering, bridging product and platform engineering. We build the foundational services, APIs, and abstractions that enable every team to ship enterprise-grade software with speed and confidence. In this role, you&rsquo;ll own critical services like user authentication and authorization, as well as the foundational data infrastructure and models powering Pave&rsquo;s compensation intelligence platform. Success in this role requires strong systems thinking and the ability to drive large, complex initiatives across the organization.
 
 
 Learn more about our engineering principles here!
 
 
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 3+ years of backend engineering experience building data intensive applications, ideally utilizing modern web technologies such as TypeScript and Node.js
 </li>
 <li>
 Strong product intuition with the ability to design generalized platform solutions that solve cross-product challenges
 </li>
 <li>
 Hands-on experience with data infrastructure, data pipelines/ ETLs, data modeling; ML/AI platform experience a plus
 </li>
 <li>
 Experience leading large technical projects with high ambiguity and numerous stakeholders
 </li>
 <li>
 Execution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind
 
 
 </li>
 </ul>
 
 Our stack includes:
 
 TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP
 
 
 
 Compensation, It's What We Do.
 
 
 
 At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life &mdash; not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling &mdash; just ask.
 
 
 Targeted cash compensation for this role:
 
 
 P2: $141,100 - $190,900
 
 
 P3: $166,600 - $225,400
 
 
 P4: $195,500 - $264,500
 
 
 
 Benefits
 
 
 @ Pave
 
 
 
 At Pave, growth isn't a perk &mdash; it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
 </li>
 <li>
 Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month &mdash; because life doesn't pause, and neither should you.
 </li>
 <li>
 Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
 </li>
 <li>
 Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
 </li>
 <li>
 Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
 </li>
 <li>
 Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.
 
 
 </li>
 </ul>
 
 Life @ Pave
 
 
 
 Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management &mdash; giving thousands of companies the tools to take
 
 control, build confidence, and earn credibility
 
 in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Krak&oacute;w (Poland), and the United Kingdom &mdash; wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.
 
 
 We run a hybrid culture that brings teams together in person 3 to 4 days a week &mdash; and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us &mdash; that we truly enjoy spending time together.
 
 
 Our culture is shaped by five values we live every day:
 
 
 <ul>
 <li>
 Be Intellectually Honest &mdash; Truth over comfort. We face reality clearly and speak directly, even when it's hard.
 </li>
 <li>
 Play to Win &mdash; We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
 </li>
 <li>
 Uphold the Pave Platinum Standard &mdash; We hold ourselves to the highest bar &mdash; for our customers, our data, and each other.
 </li>
 <li>
 One Team &mdash; We win and lose together. Titles don't drive decisions here &mdash; shared goals do.
 </li>
 <li>
 Hug of Jawn &mdash; Hard to define, impossible to miss. Ask your recruiter.
 
 
 </li>
 </ul>
 
 Our Vision:
 
 Unlock a labor market built on trust.
 
 
 
 Our Mission:
 
 Build confidence in every compensation decision.
 
 
 We build software that transforms how companies pay their people &mdash; and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.
 
 
 
 Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.
 
</div>

Software Engineer - Core Platform

Tessera Labs

<div>
 At Tessera Labs, we&rsquo;re revolutionizing business process automation with cutting-edge AI technology. Backed by Foundation Capital and led by a world-class founding team, we&rsquo;re building a high-impact engineering group to bring AI-powered automation to the enterprise world.
 
 
 Our multi-agent AI systems transform complex business workflows&mdash;eliminating inefficiencies, optimizing operations, and enabling seamless integrations across platforms like SAP, Salesforce, and Workday. We move fast, solve hard problems, and build at the bleeding edge of AI.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a Backend Engineer (Mid-Level) who thrives in a fast-paced, high-ownership startup environment. You&rsquo;ll help design, build, and maintain the backend systems that power Tessera&rsquo;s AI automation platform &mdash; including scalable APIs, data pipelines, and integrations with enterprise systems.
 
 
 This role is hands-on and ideal for someone who enjoys building distributed systems, solving challenging backend problems, and contributing to architectural discussions in a collaborative, fast-moving team.
 
 
 Key Responsibilities
 
 
 Core Development
 
 
 <ul>
 <li>
 Design, develop, and maintain RESTful APIs and backend services using Python (FastAPI, SQLAlchemy).
 </li>
 <li>
 Build reliable microservices that support data processing, automation, and AI system integrations.
 </li>
 <li>
 Implement and optimize database schemas, queries, and caching for performance and scalability.
 </li>
 <li>
 Contribute to data pipelines and synchronization services across enterprise integrations.
 
 
 </li>
 </ul>
 AI &amp; Systems Integration
 
 
 <ul>
 <li>
 Connect backend services with AI model servers, vector databases, and automation workflows.
 </li>
 <li>
 Enable smooth data exchange between AI agents and enterprise systems like Salesforce, SAP, and Workday.
 
 
 </li>
 </ul>
 Scalability &amp; Reliability
 
 
 <ul>
 <li>
 Identify and fix performance bottlenecks in backend code and databases.
 </li>
 <li>
 Implement caching, monitoring, and logging to ensure system reliability and observability.
 </li>
 <li>
 Collaborate with DevOps to deploy and maintain cloud-based services on AWS or GCP.
 
 
 </li>
 </ul>
 Security &amp; Quality
 
 
 <ul>
 <li>
 Implement secure authentication and authorization (OAuth2, RBAC, SSO).
 </li>
 <li>
 Follow best practices in code quality, testing, and documentation.
 </li>
 <li>
 Participate in code reviews and contribute to improving backend architecture.
 
 
 </li>
 </ul>
 Collaboration &amp; Ownership
 
 
 <ul>
 <li>
 Work closely with frontend, AI, and product teams to deliver new features.
 </li>
 <li>
 Take initiative in identifying improvements and building practical, scalable solutions.
 </li>
 <li>
 Balance speed and long-term scalability in a fast-moving environment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of backend development experience with a focus on APIs, distributed systems, or cloud infrastructure.
 </li>
 <li>
 Proficient in Python, with experience using FastAPI, SQLAlchemy, or similar frameworks.
 </li>
 <li>
 Experience with PostgreSQL/MySQL and data modeling best practices.
 </li>
 <li>
 Familiarity with Redis, message queues (Kafka, RabbitMQ, Pub/Sub), and asynchronous processing.
 </li>
 <li>
 Experience with cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure Blob Storage.
 </li>
 <li>
 Understanding of API authentication, security, and scalability principles.
 </li>
 <li>
 Strong debugging, testing, and performance optimization skills.
 
 
 </li>
 </ul>
 Bonus Points
 
 
 <ul>
 <li>
 Experience integrating AI/ML models into backend systems.
 </li>
 <li>
 Familiarity with event-driven architectures or workflow automation systems.
 </li>
 <li>
 Prior experience in startups or high-growth tech companies.
 
 
 </li>
 </ul>
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 
 
 Compensation Range: $200K - $250K
 
 
</div>

Software Engineer, Backend

Explore 113+ Software engineer developer in New York this June. Find roles across top companies and apply now to boost your career.

113 software engineer developer jobs In New York

Software Engineer, Generalist

Software Engineer

Software Engineer

Software Engineer I / II

Software Engineer, Applied AI

Software Engineer - Core Platform

Software Engineer, Backend