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senior data engineer Jobs in San Francisco

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early software engineer

software engineer (backend) Jobs in San Francisco

software engineer (backend)

software engineer - backend Jobs in San Francisco

software engineer - backend

software engineer data platform product

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 Millions of people use Notion &mdash; and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.
 
 
 The Data Product Platform team is responsible for designing, implementing, scaling and operating systems, tools and frameworks to build data powered product experiences and to enable data driven decisions. You&rsquo;ll join a team of talented engineers in our mission to build the best in class foundational data capabilities that are key to the company&rsquo;s business and product. Notion&rsquo;s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features like search, automations, user notifications, workspace analytics and Notion AI.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You'll own and play a pivotal role in the development of systems, tools and infrastructure that democratize data access and enable analytics capabilities across the organization.
 </li>
 <li>
 You'll work cross-functionally with engineers and partners from the Product, Data Science, Data Engineering and AI teams to deliver short- and long-term impact.
 </li>
 <li>
 You&rsquo;ll work on all levels of the stack including infrastructure, libraries and product code as needed to successfully build and deliver internal platforms that provide high leverage to multiple product teams.
 </li>
 <li>
 You&rsquo;ll help in influencing / executing the roadmap for data infrastructure and systems to power high scale product features using Notion&rsquo;s data.
 </li>
 <li>
 You'll be responsible for monitoring and operating systems in production. You&rsquo;ll understand systems deeply, optimize performance and evolve critical production systems with minimal user disruption.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Passion for systems at scale: You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house). You've experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume. You deeply care about performance and cost while delivering value.
 </li>
 <li>
 Knowledge of asynchronous workflow systems. You have worked on systems that execute tasks asynchronously, handle complex workflows, and manage job scheduling. You understand the trade-offs between different orchestration patterns and can design systems that are both reliable and scalable.
 </li>
 <li>
 Adaptable and willingness to learn how things work: you love to learn how the systems you build are used at a fundamental level. You get excited at the idea of leaning into your users&rsquo; world and help make it better.
 </li>
 <li>
 Thoughtful problem-solving &amp; problem-seeking: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. After gaining context, you can identify patterns and scope for improvements.
 </li>
 <li>
 Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff&mdash;you understand the balance between craft, speed, and the bottom line.
 </li>
 <li>
 Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and disagree and commit when needed.
 </li>
 <li>
 Team player: You understand work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You've built out and scaled event-based platforms at a fast-growing startup.
 </li>
 <li>
 You&rsquo;ve had prior experience with asynchronous workflow systems or event-based architecture, using technologies like Kafka and Redis.
 </li>
 <li>
 You&rsquo;ve had past experience working full-stack in Typescript and node.js ecosystem.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 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 made due to a disability, please let your recruiter know.
 
 
 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, the estimated base salary range for this role is $230,000 - $260,000 per year.
 
 
 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.
 
 
</div>

Software Engineer, Data Platform Product

MLabs

<div>
 
 Location:
 
 San Francisco, CA (100% On-site)
 
 
 
 Compensation:
 
 $150,000 - $250,000 (Base Salary) + Equity
 
 
 We are building the future of hiring with our revolutionary
 
 AI Recruiter
 
 that conducts job interviews in real-time over video calls. Our platform acts as a marketplace, serving candidates with a world-class interview experience and employers with powerful data aggregation and analysis tools. We are looking for a hands-on
 
 Senior Full Stack Software Engineer
 
 to build both consumer-facing and enterprise-grade software with a clear opportunity for growth and ownership.
 
 
 As a Senior Full Stack Software Engineer, you will be a founding member of our small, passionate team, solving challenging technical problems at the intersection of consumer software, enterprise platforms, and conversational AI.
 
 
 
 In this role, you will work on:
 
 
 
 <ul>
 <li>
 Consumer Experience: Drastically decrease interviewer response latency (e.g., target under 200ms) and scale our infrastructure to support thousands of simultaneous interviews while ensuring compliance across different geographies
 </li>
 <li>
 AI &amp; Data Infrastructure: Design and implement data solutions, including Vector Databases, to handle complex queries for matching candidates with specific traits
 </li>
 <li>
 Enterprise Integration: Integrate our platform with major customer internal hiring systems and build beautiful apps for recruiters to view and analyze interview data visually and quickly
 </li>
 <li>
 Scalability &amp; DevOps: Scale our system architecture and leverage our cloud/DevOps stack (Azure, Kubernetes, Docker) for high availability and performance
 </li>
 <li>
 Full Stack Feature Delivery: Own the end-to-end development of many, many features across the platform, from the Python backend to the TypeScript/React frontend
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience: 3 to 7 years of full stack engineering experience (senior+ level)
 </li>
 <li>
 Frontend: Proficiency with React (TypeScript)
 </li>
 <li>
 Backend: Strong knowledge of Python and experience with modern backend technologies, including asynchronous programming (asyncio) and SQL (Postgres)
 </li>
 <li>
 Cloud &amp; DevOps: Experience with cloud services and DevOps tooling (Azure, Kubernetes, Docker)
 </li>
 <li>
 Problem-Solving: Proven ability to love to code, experiment, and iterate quickly, with a hungry, builder mentality
 </li>
 <li>
 Collaboration: Strong communication and collaboration skills to work effectively with product, design, and co-founders in an on-site environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience working on a two-sided marketplace or platform serving both consumer and enterprise customers
 </li>
 <li>
 Experience with Vector Databases or building conversational AI/LLM-powered products
 </li>
 <li>
 A love for that "build fast, break things, and learn" mentality (hackathon experience is a huge plus)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Impact: Work directly on building the future of hiring, contributing to an autonomous AI recruiter that has already conducted thousands of interviews across multiple industries
 </li>
 <li>
 Compensation: Competitive salary ($150,000 - $250,000) and meaningful equity participation (0.01% - 0.25%)
 </li>
 <li>
 Time Off: Unlimited PTO (Paid Time Off)
 </li>
 <li>
 Wellness: Comprehensive health insurance coverage
 </li>
 <li>
 Office Perks: Company lunches provided
 </li>
 <li>
 Work Policy: 100% On-site role in our San Francisco, CA office to foster deep collaboration with a small, founding team
 </li>
 <li>
 Visa Support: Visa sponsorship is not available for this position
 
 
 </li>
 </ul>
 
 Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
 
 
 
 
 Commitment to Equality and Accessibility:
 
 
 
 At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
 
 
 MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
</div>

Senior Full Stack Software Engineer

Uber

<div>About the Role
 
 
The Mobility Simulation &amp; Planning (MSP) Platform team builds the systems that power pricing and incentive budget planning across Uber's global marketplace. As part of this team, you'll help design and scale the core platform that drives billions in marketplace spend decisions, directly influencing rider affordability and driver earnings. You'll collaborate with Product, Science, and Operations to solve complex technical challenges offering you a unique opportunity to grow as a software engineer while making a measurable business impact at global scale. 
- What You Will Do - 
<ul><li>
Partner with Engineering, Product, and Operations to define requirements, design data models, and deliver reliable production solutions.</li><li>
Design and build scalable, efficient data pipelines and frameworks to power large-scale decision systems and model infrastructure .</li><li>
Drive improvements in data quality, reliability, and observability, ensuring data systems scale with Uber's business needs.</li><li>
Lead initiatives to modernize data workflows from data orchestration (Airflow, Temporal) to distributed processing (Spark, Ray etc).</li><li>
Mentor engineers and contribute to establishing best practices for data design, governance, and performance.</li></ul> 
- Basic Qualifications - 
<ul><li>
Bachelor's degree (or equivalent) in Computer Science, Engineering, or a related field</li><li>
4+ years of experience in data engineering or backend development</li><li>
Strong SQL and data modeling skills</li><li>
Hands-on experience with distributed data frameworks (Spark, Flink, Ray, Beam etc)
</li><li>Proficiency in at least one programming language (Python, Go, or Java etc)</li><li>
Experience building scalable ETL pipelines and working with modern data infrastructure (Hive, Presto, BigQuery, Snowflake, etc.)</li></ul> 
- Preferred Qualifications - 
<ul><li>
6+ years of experience designing and operating large-scale data systems in production</li><li>
Deep understanding of data warehousing, system performance, and optimization</li><li>
Proven ability to drive complex projects, influence cross-functional teams, and mentor peers</li><li>
Self-driven and passionate about scalability, automation, and system efficiency</li><li>
Familiarity with workflow orchestration frameworks (eg:- Airflow, Temporal etc) is a plus</li></ul> 
 
 
 
For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Senior Data Engineer

Beacon Software

<div>
 Beacon Software is a permanent capital holding company which acquires and grows essential businesses. We are a profitable series B+ firm that combines great technologists, operators and M&amp;A professionals to accelerate the scale of the ambition of the dozens of businesses we own and operate. We are supported by capital from tier-1 venture capital, crossover, and endowment investors as well as the founders of the leading technology companies from the past decade.
 
 
 We are growing our team in Toronto, San Francisco, and New York. Apply below.
 
 
 Software Engineer
 
 
 We're looking for a versatile Software Engineer to drive technical innovation and accelerate growth across our portfolio of software companies. You'll collaborate closely with product, design, and leadership teams within our portfolio companies to solve high-impact problems across diverse architectures, tech stacks, and industries. You'll learn how to design and execute large-scale software modernization efforts with AI, build new AI-powered features, re-imagine the product experience. You'll have direct influence on revenue, customer experience, product vision, and technical direction&mdash;bridging code with commercial impact.
 
 
 This is a hands-on, high-impact role ideal for a full-stack engineer or ex-founder who thrives in fast-paced, entrepreneurial environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Deploy into Beacon portfolio companies to identify, design, and deliver high-impact technical initiatives.
 </li>
 <li>
 Analyze portfolio company codebases to identify value creation opportunities and technical debt reduction strategies.
 </li>
 <li>
 Refactor, modernize, and scale existing systems using current best practices and frameworks.
 </li>
 <li>
 Build AI-powered features and products that drive measurable business growth.
 </li>
 <li>
 Architect scalable backend and API services (Node.js, Python, Go, Ruby, etc.).
 </li>
 <li>
 Develop modern, performant frontends using React, Next.js, and TypeScript.
 </li>
 <li>
 Collaborate with product and business leaders to translate commercial goals into technical roadmaps.
 </li>
 <li>
 Contribute to internal engineering playbooks and best practices across Beacon's platform.
 </li>
 <li>
 Mentor and support technical teams within portfolio companies to lift engineering standards
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 5+ years of experience as a full-stack or backend engineer, ideally in a startup or high-growth environment.
 </li>
 <li>
 Strong foundation in software engineering best practices, including code quality, testing, and deployment
 </li>
 <li>
 Command of one or more modern programming languages (e.g., Python, Go, TypeScript, Ruby).
 </li>
 <li>
 Experience with cloud infrastructure and modern DevOps practices.
 </li>
 <li>
 Comfort working across diverse architectures&mdash;from monoliths to microservices.
 </li>
 <li>
 Curiosity and versatility to dive into unfamiliar codebases and domains
 </li>
 <li>
 Familiarity with AI integration, LLMs, and data-driven applications.
 </li>
 <li>
 Strong systems-thinking mindset and a bias for simplicity.
 </li>
 <li>
 Proven ability to deliver autonomously with high ownership.
 </li>
 <li>
 Excellent communication skills and collaborative spirit.
 </li>
 <li>
 Commercial mindset, curiosity about business models, and how software creates enterprise value.
 </li>
 <li>
 Desire to grow into a technical leader or founder role.
 
 
 </li>
 </ul>
 
 This Role Is Perfect for You If
 
 
 
 <ul>
 <li>
 You're an ex-founder or founding engineer who thrives in ambiguity.
 </li>
 <li>
 You want to build and ship products across multiple industries.
 </li>
 <li>
 You're fascinated by how code translates into profit and growth.
 </li>
 <li>
 You enjoy diving into new codebases, diagnosing bottlenecks, and scaling systems.
 </li>
 <li>
 You believe AI will reshape how software is built&mdash;and you want to be at the forefront.
 </li>
 <li>
 You care deeply about clean, maintainable, and scalable engineering.
 </li>
 <li>
 You want to learn how to acquire, operate, and scale software businesses.
 </li>
 <li>
 You're commercially curious&mdash;just as excited by go-to-market strategy as by refactoring a service.
 </li>
 <li>
 You're energized by speed, autonomy, and a culture that values judgment over process.
 </li>
 <li>
 You want to work with people who set a high bar&mdash;and help you raise yours.
 
 
 </li>
 </ul>
 
 Our Values at Beacon Software
 
 
 
 <ul>
 <li>
 Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.
 </li>
 <li>
 Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant.
 </li>
 <li>
 Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected.
 </li>
 <li>
 Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.
 </li>
 </ul>
</div>

Software Engineer

Decagon

<div>
 
 About Decagon
 
 
 
 Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.
 
 
 Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
 
 
 We&rsquo;re an in-office company, driven by a shared commitment to excellence and velocity. Our values&mdash;
 
 customers are everything
 
 ,
 
 relentless momentum
 
 ,
 
 winner&rsquo;s mindset
 
 , and
 
 stronger together
 
 &mdash;shape how we work and grow as a team.
 
 
 
 About The Team
 
 
 
 The
 
 Infrastructure
 
 team builds and operates the foundations that power Decagon: networking, data, ML serving, developer platform, and real‑time voice. We partner closely with product, data, and ML to deliver high‑scale, low‑latency systems with clear SLOs and great developer ergonomics.
 
 
 
 We Organize Around Five Focus Areas
 
 
 
 <ul>
 <li>
 Core Infra: The foundational cloud stack&mdash;networking, compute, storage, security, and infrastructure‑as‑code&mdash;to ensure reliability, scale, and cost efficiency.
 </li>
 <li>
 Data Infra: Streaming/batch data platforms powering analytics/BI and customer‑facing telemetry, including for customer‑managed and on‑prem environments.
 </li>
 <li>
 ML Infra: GPU and model‑serving platforms for LLM inference with multi‑provider routing and support for on‑prem/air‑gapped deployments.
 </li>
 <li>
 Platform (DevEx): CI/CD, paved paths, and core services that make shipping fast, safe, and consistent across teams.
 </li>
 <li>
 Voice Infra: Telephony/WebRTC stack and observability enabling ultra‑low‑latency, high‑quality voice experiences.
 
 
 </li>
 </ul>
 Our mission is to
 
 deliver magical support experiences
 
 &mdash; AI agents working alongside humans to resolve issues quickly and accurately.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring a Senior Infrastructure Engineer to design, build, and operate production infrastructure for high‑scale, low‑latency systems. You&rsquo;ll own critical services end‑to‑end, improve reliability and performance, and create paved‑paths that let every Decagon engineer ship confidently.
 
 
 
 In this role, you will
 
 
 
 <ul>
 <li>
 Design and implement critical infrastructure services with strong SLOs, clear runbooks, and actionable telemetry.
 </li>
 <li>
 Partner with research and product teams to architect solutions, set up prototypes, evaluate performance, and scale new features.
 </li>
 <li>
 Tune service latencies: optimize networking paths, apply smart caching/queuing, and tune CPU/memory/I/O for tight p95/p99s.
 </li>
 <li>
 Evolve CI/CD, golden paths, and self‑service tooling to improve developer velocity and safety.
 </li>
 <li>
 Support various deployment architectures for customers with robust observability and upgrade paths.
 </li>
 <li>
 Lead infrastructure‑as‑code (Terraform) and GitOps practices; reduce drift with reusable modules and policy‑as‑code.
 </li>
 <li>
 Participate in on‑call and drive down toil through automation and elimination of recurring issues.
 
 
 </li>
 </ul>
 
 Your background looks something like this
 
 
 
 <ul>
 <li>
 3+ years building and operating production infrastructure at scale.
 </li>
 <li>
 Depth in at least one area across Core/Data/AI‑ML/Platform/Voice, with curiosity to learn the rest.
 </li>
 <li>
 Proven track record meeting high availability and low latency targets (owning SLOs, p95/p99, and load testing).
 </li>
 <li>
 Excellent observability chops (OpenTelemetry, Prometheus/Grafana, Datadog) and incident response (PagerDuty, SLO/error budgets).
 </li>
 <li>
 Clear written communication and the ability to turn ambiguous requirements into simple, reliable designs.
 
 
 </li>
 </ul>
 
 Even better
 
 
 
 <ul>
 <li>
 Experience being an early backend/platform/infrastructure engineer at another company
 </li>
 <li>
 Strong Kubernetes experience (GKE/EKS/AKS) and experience across multiple cloud providers (GCP, AWS, and Azure)
 </li>
 <li>
 Experience with customer‑managed deployments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, and vision
 </li>
 <li>
 Flexible time off
 </li>
 <li>
 Daily lunch/dinner &amp; snacks in the office
 </li>
 </ul>
</div>

Software Engineer, Infrastructure

Product Content Engineer

Aircall

<div>
 Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We&rsquo;re redefining what a customer communications platform can be&mdash;by combining voice, SMS, WhatsApp, and AI into one seamless workspace.
 
 
 Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall&rsquo;s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result&mdash;companies grow revenue, deliver faster resolutions, and scale service.
 
 
 We&rsquo;ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets.
 
 
 At Aircall, you&rsquo;ll join a company in motion&mdash;ambitious, profitable, and product-driven&mdash;where impact is visible, decisions are fast, and growth is real.
 
 
 
 How We Work at Aircall:
 
 At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in
 
 
 As a Full-Stack Software Engineer for our AI teams, you will be responsible for the design, development, deployment, and operation of business-critical features. Previous experience with frontend development is a must &ndash; preferably in React.
 
 
 
 Your Responsibilities @ Aircall:
 
 
 
 <ul>
 <li>
 Participate in requirements analysis to help with providing the right technical and business solutions for our customers
 </li>
 <li>
 Have key responsibilities within the design, architecture, and end-to-end delivery of key product features
 </li>
 <li>
 Write clean scalable code and test and deploy applications and systems
 </li>
 <li>
 Revise, update, refactor, and debug code
 </li>
 <li>
 Be part of an engineering organization delivering high quality, secure, voice solutions to Aircall clients
 </li>
 <li>
 Involvement in product and platform performance optimization and live site monitoring
 </li>
 <li>
 Participate in an on-call rotation to respond to critical system issues and ensure continuous system reliability
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 2+ years of experience in full-stack software engineering
 </li>
 <li>
 Strong experience building frontend applications, ideally in React
 </li>
 <li>
 Strong nice-to-have: Expert proficiency in Python or Typescript/Node.js and AWS
 </li>
 <li>
 Exposure to LLM development, including but not limited to side projects or hackathons
 
 
 </li>
 </ul>
 $130,000 - $220,000 a year
 
 
 This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
 
 
 Why join us?
 
 
 🚀 Key moment to join Aircall in terms of growth and opportunities
 
 
 💆&zwj;&female;️ Our people matter, work-life balance is important at Aircall
 
 
 📚 Fast-learning environment, entrepreneurial and strong team spirit
 
 
 🌍 45+ Nationalities: cosmopolite &amp; multi-cultural mindset
 
 
 💵 Competitive salary package &amp; equity
 
 
 🏨 Medical, dental, and vision insurance is 100% covered
 
 
 📈 401k plan with company matching!
 
 
 ✈️ Unlimited PTO &mdash; take the time you need to come to work feeling great!
 
 
 ⭐️ Wellness, commuter, and childcare reimbursements
 
 
 💚 Generous parental leave policy
 
 
 DE&amp;I Statement:
 
 
 At Aircall, we believe diversity, equity and inclusion &ndash; irrespective of origins, identity, background and orientations &ndash; are core to our journey.
 
 
 We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We&rsquo;re working to create a place filled with diverse people who can enrich and learn from one another. We&rsquo;re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
 
 
 We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
 
 Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Full-Stack Software Engineer, AI - San Francisco

Explore 279+ Software engineer data platform product in San Francisco this November. Find roles across top companies and apply now to boost your career.