enterprise solutions engineer Jobs in San Francisco

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full stack software engineer Jobs in San Francisco

full stack software engineer

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software engineer (all levels) Jobs in San Francisco

software engineer (all levels)

software engineer i Jobs in San Francisco

software engineer i

full stack engineer

Alex AI

<div>
 
 Why Alex?
 
 
 
 Alex is one of the fastest growing startups to come out of its YC batch with strong traction. We&rsquo;re generating revenue and are well-funded by some of the best investors in the Valley with years of runway.
 
 
 
 What are you up to?
 
 
 
 Alex is building the future of hiring. Alex is an AI recruiter that conducts job interviews in real-time. Companies use Alex to get the best hiring signal on their applicant pool and hire in a fraction of the time.
 
 
 Alex has a live conversation over a video/phone call with each candidates based on the interview questions our customers choose or that are recommended based on their job description. During the interview, Alex asks personalized follow-up questions in real-time based on the candidate's responses. Alex has already conducted thousands of interviews across engineering, IT, retail, hospitality, and more.
 
 
 
 Who are you?
 
 
 
 We&rsquo;re people who:
 
 
 <ul>
 <li>
 genuinely enjoy solving complex engineering problems
 </li>
 <li>
 learn quickly and do what it takes to deliver results
 </li>
 <li>
 work really, really hard
 </li>
 <li>
 move with urgency
 </li>
 <li>
 enjoy and value working together in person in SF 5 days a week
 
 
 </li>
 </ul>
 
 What technologies do you use?
 
 
 
 You should have experience in:
 
 
 <ul>
 <li>
 Javascript (Typescript, React, Node, Next)
 </li>
 <li>
 Python (FastAPI, concurrency)
 </li>
 <li>
 Cloud / DevOps (Azure, Kubernetes, Docker)
 </li>
 <li>
 System Architecture
 
 
 </li>
 </ul>
 We also prefer candidates with experience in:
 
 
 <ul>
 <li>
 Great frontend design (Figma)
 </li>
 <li>
 ML/DL (open source, inference at scale)
 
 
 </li>
 </ul>
 
 What can I work on?
 
 
 
 Our product is built and operates like a marketplace, as we serve both candidates through the interview experience and employers through the data aggregation and analysis platform. As a hands-on engineer, you will build both consumer-facing and enterprise-grade software, designed for scale.
 
 
 Problems that you could work on related to consumer software are:
 
 
 <ul>
 <li>
 How can we bring the average interviewer response latency down to 200ms?
 </li>
 <li>
 How can we fine-tune our models to decrease hallucination and increase response accuracy?
 </li>
 <li>
 How will our system architecture change as we scale to thousands more users, concurrently?
 
 
 </li>
 </ul>
 Problems that you could work on related to enterprise software are:
 
 
 <ul>
 <li>
 How do we integrate with our customer&rsquo;s internal hiring systems?
 </li>
 <li>
 What&rsquo;s the best way to present the interview data visually and as fast as possible?
 </li>
 <li>
 And many, many feature requests that need to be built out!
 
 
 </li>
 </ul>
 
 What&rsquo;s in it for me?
 
 
 
 <ul>
 <li>
 Take ownership of building the next billion dollar company
 </li>
 <li>
 Collaborate with a tight-knit team of talented builders
 </li>
 <li>
 Launch products that directly impact people&rsquo;s careers
 </li>
 <li>
 Work with the co-founders every day in-person in SF
 </li>
 <li>
 Competitive salary and equity
 </li>
 <li>
 Health/vision/dental insurance, 401(k), unlimited PTO, and great company events
 
 
 </li>
 </ul>
 If you&rsquo;ve gotten this far and our culture/tech resonate with you,
 
 we want you to apply
 
 . Submit your application with the phrase &ldquo;fast track&rdquo; and we&rsquo;ll fast track your application with an interview directly.
 
 
</div>

Full Stack Software Engineer

Sprig

<div>
 
 About Sprig
 
 
 
 Sprig is building the AI-native successor to legacy survey tools, like Qualtrics, Medallia, and SurveyMonkey. We believe the future of experience research won&rsquo;t be powered by slow, siloed platforms. It will be fast, intelligent, and deeply integrated into how modern teams build great products.
 
 
 Our mission is to make deep customer understanding effortless and always on. With Sprig, product teams no longer guess. They know. We are creating a future where AI uncovers insights, accelerates workflows, and enables teams to deliver exceptional customer experiences in real-time.
 
 
 Companies like Notion, Figma, Coinbase, and TripAdvisor already use Sprig to stay closer to their customers than ever before. We&rsquo;re scaling quickly toward $100M ARR, launching new AI-powered capabilities, and expanding our impact across the world&rsquo;s most innovative companies.
 
 
 If you're energized by bold ideas, rapid growth, and the opportunity to redefine an entire category, we'd love to meet you.
 
 
 
 About The Role
 
 
 
 Sprig&rsquo;s AI team builds the systems that help user-experience researchers and product managers understand their users at scale. Every day, we process over half a billion events and run millions of AI inference queries, transforming raw feedback and usage data into actionable product insights. As a senior software engineer, you&rsquo;ll own and evolve the backend systems that make this possible&mdash;distributed data pipelines, inference workflows, and the integrations that bring AI-powered understanding into Sprig&rsquo;s product.
 
 
 Our work spans from distributed data processing and inference pipelines to the product surface that UX researchers and PMs interact with. The team operates across the stack but this role emphasizes large-scale backend systems and integration with applied AI. You&rsquo;ll join a group that values pragmatic engineering, clear design, and measurable impact, advancing both our technical foundation and our ability to deliver trustworthy, privacy-safe analyses and insights.
 
 
 This is a hybrid role with three days working in our downtown San Francisco office, which is just a short walking distance from the Montgomery BART station.
 
 
 
 Your Impact
 
 
 
 <ul>
 <li>
 Build and ship user-facing features &ndash; Develop UI components and backend APIs that help product and research teams understand user experiences at scale.
 </li>
 <li>
 Own small features end-to-end &ndash; Take responsibility for well-defined product surfaces or API endpoints, from design and implementation to monitoring and iteration.
 </li>
 <li>
 Collaborate and learn from experienced engineers &ndash; Work closely with senior teammates to review designs, debug complex issues, and grow your technical judgment.
 </li>
 <li>
 Extend your impact into AI and data systems &ndash; Gain exposure to distributed data workflows, prompt engineering, and the AI inference systems that power Sprig&rsquo;s analyses and insights.
 </li>
 <li>
 Contribute to quality and shared understanding &ndash; Write reliable, testable code, improve observability, and document designs so others can build confidently on your work.
 
 
 </li>
 </ul>
 
 Your Strengths
 
 
 
 <ul>
 <li>
 You have 2+ years of professional experience building and shipping production software.
 </li>
 <li>
 You are comfortable developing across our stack: React, Node.js/Express, AWS, and PostgreSQL.
 </li>
 <li>
 You have a solid understanding of data structures, RESTful APIs, SQL, and testable system design.
 </li>
 <li>
 You are capable of designing, implementing, and maintaining well-scoped features or services end-to-end.
 </li>
 <li>
 You communicate clearly, contribute to reviews and design discussions, and learn through feedback.
 </li>
 <li>
 You are motivated to extend skills into distributed AI workflows, inference systems, and prompt and context engineering.
 </li>
 <li>
 It is a plus if you are familiar with event-driven architectures and distributed data processing.
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Competitive Salary
 </li>
 <li>
 Competitive Employee Equity
 </li>
 <li>
 401K Program
 </li>
 <li>
 Medical, Dental, and Vision Benefits
 </li>
 <li>
 FSA/HSA Benefit
 </li>
 <li>
 $175/month Commuter Benefit
 </li>
 <li>
 Additional Wellbeing Benefits
 </li>
 <li>
 Flexible Paid Time Off
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Professional Development Stipend
 </li>
 <li>
 Hybrid Office Policy
 </li>
 <li>
 Lunch and dinner daily
 </li>
 <li>
 Company Sponsored Social Events
 
 
 </li>
 </ul>
 At Sprig, we pride ourselves on being a people-first company, where your contributions truly matter and are valued. We were recently awarded by Fortune as top 50 best places to work in the US, and top 50 Places to Work in the Bay Area by Built In. Come join our mission of building products users love and have a real impact on Sprig&rsquo;s future.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.
 
 
 
 Employee Pay Disclosure
 
 
 
 The salary range for this full-time position is $ 150,000 - $230,000 + Equity + Benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for San Francisco, CA. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in postings reflect the base salary only, and do not include equity or benefits.
 
 
 ***Please beware of scammers who are posing as Sprig and Sprig team members. Our recruiters use @sprig.com email addresses exclusively. We do not conduct interviews via text or instant message, and we do not ask candidates to purchase equipment through us or solicit money from you. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.***
</div>

Software Engineer, Fullstack (AI)

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 Insights team builds the product surfaces that help companies understand the conversations their AI agents have with customers. We create tools that uncover customer intents, highlight gaps in agent behavior, analyze voice of customer patterns, and guide teams toward writing better AOPs and improving overall agent quality.
The team owns products like Insights, Watchtower, Suggestions, and AskAI. We focus on clear explanations, intuitive visualizations, and workflows that allow users to understand and act on information quickly.
This product area has a significant opportunity to shape how customers learn from their data and improve their agents.
About the Role
As a Staff Software Engineer on the Insights team, you will play a foundational role in building a new product area from the ground up. You will define technical direction, establish engineering practices, and drive multi-quarter initiatives that shape how customers understand performance, discover new intents, and iterate on AOPs.
This role is ideal for engineers who excel in ambiguous environments and enjoy taking ideas from concept to shipped product. You will work closely with design and PM to validate assumptions, prototype quickly, and learn directly from customer feedback. You will help build the team&rsquo;s culture and set a high standard for product quality.
In this role, you will<ul><li>
Lead the architecture and technical direction for a new insights platform used by CX and product teams</li><li>
Build the foundational product experiences that help users understand customer intents, agent behavior, and voice of customer patterns</li><li>
Define workflows and visualizations that guide customers toward writing better AOPs and improving agent quality</li><li>
Drive fast iteration by testing ideas quickly, gathering feedback, and refining product direction based on real usage</li><li>
Mentor engineers, establish engineering norms, and help grow a high-performing new team</li><li>
Partner with PM, Design, and Agent Engineering to shape the long-term roadmap for insights at Decagon</li></ul>
Your background looks something like this<ul><li>
8+ years of engineering experience with meaningful technical leadership</li><li>
A strong track record of building 0 to 1 products or teams</li><li>
Ability to turn ambiguous product ideas into clear technical plans and shipped features</li><li>
Proficiency in Typescript or Python and comfort working across the stack</li><li>
Strong product intuition and experience building user-facing features with clear, actionable insights</li><li>
Experience collaborating with design and PM to iterate quickly and validate ideas</li></ul>
Even better<ul><li>
Experience building analytics products, conversation intelligence tools, or insight generation features</li><li>
Experience working with agent-driven or LLM-powered systems</li><li>
Experience influencing engineering culture and practices across teams</li></ul>
Benefits:<ul><li>
Medical, dental, and vision benefits</li><li>
Take what you need vacation policy</li><li>
Daily lunches, dinners and snacks in the office to keep you at your best</li></ul>
Compensation
$300K &ndash; $385K + Offers Equity
Compensation Range: $250K - $375K</div>

Staff Software Engineer, Insights

<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 Insights team builds the product surfaces that help companies understand the conversations their AI agents have with customers. We create tools that uncover customer intents, highlight gaps in agent behavior, analyze voice of customer patterns, and guide teams toward writing better AOPs and improving overall agent quality.
The team owns products like Insights, Watchtower, Suggestions, and AskAI. We focus on clear explanations, intuitive visualizations, and workflows that allow users to understand and act on information quickly.
This product area has a significant opportunity to shape how customers learn from their data and improve their agents.
About the Role
As a Senior Software Engineer on the Insights team, you will design and build the user facing tools that turn conversations into meaningful understanding. You will work across backend and frontend surfaces to deliver intuitive experiences that help CX teams, APMs, and product leaders diagnose issues, discover new intents, and understand customer sentiment.
This role is ideal for engineers who love building polished product experiences supported by strong analytical logic. You will solve ambiguous product problems and work closely with design, PM, and Agent Engineering to define how insight generation should feel inside Decagon.
In this role, you will<ul><li>
Build user-facing features that help teams understand customer intents, sentiment, and voice of the customer signals</li><li>
Design intuitive visualizations and workflows that help APMs and CX teams write better AOPs and identify improvement opportunities</li><li>
Create tools that highlight gaps in agent behavior, explain performance issues, and surface actionable recommendations</li><li>
Build product experiences that make it simple to explore conversations and understand why agents behave the way they do</li><li>
Work across the stack to deliver fast, reliable, and polished insights products that customers rely on daily</li></ul>
Your background looks something like this<ul><li>
5+ years of engineering experience building customer-facing products</li><li>
Proficiency with Typescript, Python, and asynchronous programming</li><li>
Strong product sense and ability to solve vague analytical problems</li><li>
Experience creating clear, effective visualizations or UI for complex information</li><li>
Ability to collaborate with PM and Design to drive product direction</li></ul>
Even better<ul><li>
Experience with analytics products, conversation intelligence, or UX for insights</li><li>
Experience working on products that help users understand behavior or improve workflows</li><li>
Experience with LLM applications or agent-driven systems</li></ul>
Benefits:<ul><li>
Medical, dental, and vision benefits</li><li>
Take what you need vacation policy</li><li>
Daily lunches, dinners and snacks in the office to keep you at your best</li></ul>
Compensation
$250K &ndash; $330K + Offers Equity
Compensation Range: $250K - $375K</div>

Senior Software Engineer, Insights

Abridge

<div>
 
 About Abridge
 
 
 
 Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most&mdash;their patients.
 
 
 Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.
 
 
 We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for Software Engineers to join our growing Product Engineering team! You&rsquo;ll play a key role in helping us scale and mature our business by building and supporting new + existing web applications and their supporting backends. You&rsquo;ll be writing code (mostly Typescript), making architectural decisions, recommending technologies to adopt, and ensuring that our systems scale up reliably and securely.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and support the robust cloud-based services we need for our rapidly-growing business
 </li>
 <li>
 Make and implement technology decisions that support business needs without compromising security, privacy, or quality
 </li>
 <li>
 Research commercial and open-source solutions, and make build vs buy recommendations to bring new capabilities into the technology organization. You&rsquo;ll have a say in the technology strategy &mdash; not just implementation details
 </li>
 <li>
 Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security
 </li>
 <li>
 Advocate for high standards; make quality-of-life improvements to the codebase; and help limit the growth of technical debt
 </li>
 <li>
 Build deep user empathy and maintain a user-centric mindset
 </li>
 <li>
 Communicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You&rsquo;ll work with other disciplines including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the company
 </li>
 <li>
 Mentor and learn from other engineers
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 2+ years of experience building, shipping, and operating cloud-based distributed systems at scale - You&rsquo;ve seen what works, and probably a few things that didn&rsquo;t work. Your opinions are grounded in experience
 </li>
 <li>
 Experience as a lead engineer on a number of major components or subsystems of a software platform, or have been the lead for the platform itself
 </li>
 <li>
 Confidence knowing your way around event pipelines and experience with tools such as Kinesis or Kafka
 </li>
 <li>
 Several years of experience building software for a regulated environment, and understand the tradeoffs that can be required to ensure compliance with regulations and frameworks such as HIPAA, SOC 2, and HITRUST
 </li>
 <li>
 Willingness to pitch in wherever needed -- as a fast-moving startup we need to do good work, quickly
 
 
 </li>
 </ul>
 
 Must be willing to work from our SF or NY office at least 3x per week
 
 
 
 This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco or New York.
 
 
 We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you&rsquo;re interested in the role but aren&rsquo;t sure whether or not you&rsquo;re a good fit, we&rsquo;d still like to hear from you.
 
 
 
 Why Work at Abridge?
 
 
 
 At Abridge, we&rsquo;re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We&rsquo;re driving real, lasting change, with millions of medical conversations processed each month.
 
 
 Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership&mdash;every employee has the ability to (and is expected to) make an impact on our customers and our business.
 
 
 Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it&rsquo;s not just what we do&mdash;it&rsquo;s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.
 
 
 We&rsquo;re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.
 
 
 If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.
 
 
 
 How we take care of Abridgers:
 
 
 
 <ul>
 <li>
 Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
 </li>
 <li>
 Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
 </li>
 <li>
 Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
 </li>
 <li>
 Paid Parental Leave: Generous paid parental leave for all full-time employees.
 </li>
 <li>
 Family Forming Benefits: Resources and financial support to help you build your family.
 </li>
 <li>
 401(k) Matching: Contribution matching to help invest in your future.
 </li>
 <li>
 Personal Device Allowance: Tax free funds for personal device usage.
 </li>
 <li>
 Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
 </li>
 <li>
 Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
 </li>
 <li>
 Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
 </li>
 <li>
 Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
 </li>
 <li>
 Compensation and Equity: Competitive compensation and equity grants for full time employees.
 </li>
 <li>
 ... and much more!
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
 
 
 
 Staying safe - Protect yourself from recruitment fraud
 
 
 
 We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
 
 
 Compensation Range: $162K - $234K
 
 
</div>

Software Engineer (All Levels)

MLabs

<div>
 
 Software Engineer (New Grad/Entry-Level)
 
 
 
 
 Full-time | On-site
 
 
 
 
 Location: San Francisco, CA
 
 
 
 We are a rapidly growing, cash-flow positive technology company modernizing a $12 trillion global industry. We are seeking a world-class Software Engineer to join our team, focusing on simplifying complex systems, unifying fragmented data, and building high-scale backend infrastructure. This is a unique opportunity to join an early-stage company with de-risked fundamentals and high impact potential.
 
 
 This role involves tackling massive technical challenges by connecting and unifying disparate, legacy software systems. You will build the foundational infrastructure and user-facing applications that automate core industry workflows, providing tremendous value to customers.
 
 
 
 Role Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and maintain high-scale backend systems that handle millions of API requests daily, focusing on performance, reliability, and speed
 </li>
 <li>
 Unify fragmented systems by defining a single, scalable standard for data models, authentication, and features like filtering and pagination across dozens of integrations
 </li>
 <li>
 Innovate solutions for connecting with legacy, on-premise systems (SQL-based, DLL-based, API-based) to provide secure, fast, and reliable cloud-based access, often requiring creative approaches like building real-time communication layers (e.g., using WebSockets) where native APIs do not exist
 </li>
 <li>
 Build full-stack applications (including front-end UIs) that "dog-food" our own APIs, ensuring the highest level of API quality and performance
 </li>
 <li>
 Focus on Operational Excellence, creating a reliable API layer on top of inherently unstable legacy systems, enforced by strict SLAs
 </li>
 <li>
 Work across the technical stack, utilizing Postgres, Redis, and AWS infrastructure (CDK, EC2)
 </li>
 <li>
 Contribute to a culture of constant iteration, shipping code daily based on direct customer feedback
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 We are looking for an ambitious, independent engineer who thrives in a fast-paced, high-ownership environment
 </li>
 <li>
 0 - 1 years of post-graduation experience as a Backend or Full-Stack Software Engineer. This is an ideal role for a high-potential new graduate
 </li>
 <li>
 Must be able to work independently and take full ownership of tasks with minimal supervision or guidance
 </li>
 <li>
 Experience or strong familiarity with our core Tech Stack: Redis, Postgres, and AWS (CDK, EC2)
 </li>
 <li>
 Strong desire to simplify complex technical problems and unify fragmented data sets
 </li>
 <li>
 Commitment to high-velocity development and iterative product building based on customer needs
 
 
 </li>
 </ul>
 
 Work Policy:
 
 
 
 <ul>
 <li>
 This is a fully on-site position in San Francisco, CA, requiring attendance 5 days a week
 </li>
 <li>
 Visa Sponsorship is available for qualified US and CAN candidates (including TN, OPT, and H1B Transfer)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Join an experienced founding team with a strong track record (acquired by Amazon) and a company that has strategically eliminated key risks while maintaining high growth upside.
 
 
 <ul>
 <li>
 Competitive Compensation: Base salary between $130,000 - $160,000
 </li>
 <li>
 Significant Early Equity: Own a meaningful stake with equity ranging from 0.05% - 0.20%
 </li>
 <li>
 Health &amp; Wellness: We cover 90% of your healthcare costs with several plan options
 </li>
 <li>
 401k: Generous matching&mdash;we match 100% of your contributions, up to 4% of your annual salary
 </li>
 <li>
 Relocation Support: Sizable relocation bonus for candidates moving to the Bay Area
 </li>
 <li>
 Daily Meals: DoorDash stipend for dinner, plus a fully stocked kitchen with snacks and drinks
 </li>
 <li>
 On-site Amenities: Access to an on-site gym including Peloton, squat racks, and more
 
 
 </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>

Software Engineer (New Grads)

Figure

<div>About Figure

Figure (NASDAQ: FIGR) is transforming capital markets through blockchain. We're proving that blockchain isn't just theory - it's powering real products used by hundreds of thousands of consumers and institutions.

By combining blockchain's transparency and efficiency with AI-driven automation, we've reimagined how loans are originated, funded, and traded in secondary markets. From faster processing times to lower costs and reduced bias, our technology is helping borrowers, investors, and financial institutions achieve better outcomes.

Together with our 170+ partners, we've originated over $17 billion in home equity loans (HELOCs) on our blockchain-native platform, making Figure the largest non-bank provider of home equity financing in the U.S. Figure's ecosystem also includes YLDS, an SEC-registered yield-bearing stablecoin that operates as a tokenized money market fund, and several other products and platforms that are reshaping consumer finance and capital markets.

We're proud to be recognized as one of Forbes' Most Innovative Fintech Startups in 2025 and Fast Company's Most Innovative Companies in Finance and Personal Finance.

About the Role

Figure is excited to be growing our businesses and creating new teams. We are looking for curious, innovative, and collaborative team members. Engineering is at the heart of the action, building out our blockchain protocol and direct-to-consumer products that will transform the financial services industry. Everything is developed from scratch, and every engineer has a significant impact on the team and the company's growth.

As a Senior Software Engineer on the Loan Originations Team, you will help develop and maintain full-stack, customer-facing lending products. You will produce and implement functional software solutions. You will work with product and upper management to define software requirements and take the lead on operational and technical projects.

In this role, you should be able to work independently with little supervision. You should have excellent organization and problem-solving skills. The ideal candidate will be smart, passionate about software development, and eager to continually grow.

We are open to fully remote in the US for this role.

What You'll Do
<ul>
<li>Drive innovative tech solutions adhering to iterative principles</li>
<li>Originate, champion, and execute new ideas for projects</li>
<li>Collaborate with project leads and other software engineers across multiple teams</li>
<li>Work on software solutions that will transform the consumer lending and blockchain space</li>
<li>Be a leader, use your voice, apply your tech skills to solve real-world problems</li>
</ul>
What We Look For
<ul>
<li>BS/BA degree, Computer Science major preferred</li>
<li>5 + years of engineering/development experience in a fast-paced, agile environment</li>
<li>Proficiency in Java or Kotlin, JVM-based programming, Kafka preferred</li>
<li>Team player with a positive attitude</li>
<li>Ability to succeed in a startup environment</li>
<li>Ability to drive a project from concept to release</li>
<li>Proficiency in Continuous Integration (CI) and Continuous Deployment (CD)</li>
<li>Familiarity with Iterative Software Development. &quot;If it's not in production, we aren't iterating.&quot;</li>
</ul>
Salary
<ul>
<li>Compensation Range: $119,960 - $149,600/yr</li>
<li>25% annual bonus target, paid quarterly</li>
<li>Equity RSU package</li>
<li>This is the compensation range for the United States, actual compensation may vary based on individual candidate experience, location, or evolving business needs</li>
</ul>
Benefits
<ul>
<li>Comprehensive health, vision, and dental insurance with 100% employer-paid premiums for employees and their dependents on select plans</li>
<li>Company HSA, FSA, Dependent Care, 401k, and commuter benefits</li>
<li>Employer-funded life and disability insurance coverage</li>
<li>11 Observed Holidays &amp; PTO plan</li>
<li>Up to 12 weeks paid family leave</li>
<li>Continuing education reimbursement</li>
</ul>
Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

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Senior Software Engineer - Originations

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