Devops Engineer jobs at Keeper Security

We are seeking a highly motivated and experienced full stack software engineer to join our Keeper development team. The ideal candidate will be a positive and collaborative team player with a strong background in full stack development and excellent communication skills. This is a 100% remote position. Keeper's cybersecurity software is trusted by millions of people and thousands of organizations, globally. Keeper is published in 21 languages and is sold in over 120 countries. Join one of the fastest-growing cybersecurity companies and be responsible for expanding and architecting Keeper's integration in the AWS cloud with the latest technology and tools! About Keeper Keeper Security is transforming cybersecurity for people and organizations around the world. Keeper's affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on every device. Our award-winning, zero-trust, privileged access management platform deploys in minutes and seamlessly integrates with any tech stack and identity application to provide visibility, security, control, reporting and compliance across an entire enterprise. Trusted by millions of individuals and thousands of organizations, Keeper is an innovator of best-in-class password management, secrets management, privileged access, secure remote access and encrypted messaging. Learn more at KeeperSecurity.com. About the Role As an Integration Engineer, you will be joining an elite team of technical powerhouses within our Keeper Dev team. Play a pivotal role designing, developing and maintaining integrations with Keeper's technical partners, such as Next-Gen SIEM solutions, identity providers (IdPs), robotic process automation (RPA) tools and IT Service Management (ITSM) products. You will work closely with cross-functional teams to deliver robust, scalable, and high performance solutions that meet our business needs. Responsibilities Create technical integrations between Keeper and 3rd party providers, such as Next-gen SIEM solutions Build requirements and work with product management and CTO establish a roadmap Work directly with partners such as Microsoft, AWS and SIEM solution providers to establish test environments, build the integration and publish the integration from start to finish Collaborate closely with UI designers, product managers, and quality assurance engineers to deliver high-quality features Participate in code reviews to maintain code quality and provide constructive feedback Investigate and resolve complex technical issues, providing timely solutions Requirements 5+ years of professional experience in full stack software development Bachelor's or Master's degree in Computer Science or equivalent discipline or equivalent experience Proficiency in Java, JavaScript, ReactJS, MySQL and related frameworks Strong knowledge of Microsoft Azure and Amazon AWS environments Experience with SIEM products such as Azure Sentinel Deep understanding of software architecture principles and design patterns Excellent documentation and communication skills Familiarity with Agile/Scrum development methodologies Due to this role's involvement in GovCloud, all applicants must be a US Person. Benefits Medical, Dental & Vision (inclusive of domestic partnerships) Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life Voluntary Short/Long Term Disability Insurance 401K (Roth/Traditional) A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc) Above market annual bonuses Keeper Security, Inc. is an equal opportunity employer and participant in the U.S. Federal E-Verify program. We celebrate diversity and are committed to creating an inclusive environment for all employees. Classification: Exempt

About the job Neon Blue is an AI platform that automates end-to-end experimentation. AI Agents manage testing from idea → creative → deployment → optimization. Role Description This is a full-time on-site role for a Staff Software Engineer at Neon Blue located in San Francisco, CA. The Staff Software Engineer will be responsible for back-end web development, software development, programming, and object-oriented programming (OOP). Primary Responsibilities (75%) Own the Experimentation API endpoints: Maintain and enhance our custom-built experimentation platform API that powers our portal team's customer-facing features. Ensure high availability, set up new environments, and build new routes to support feature rollouts. Cross-functional Collaboration: Partner closely with our highly technical portal team to design and implement experiment-backed features for customers. Propose and debate implementation approaches to find optimal solutions. Python & Infrastructure Development: Write production-grade Python code for API endpoints and data processing, interfacing with Snowflake and our custom data infrastructure. Collaborate with TypeScript-based portal team to deliver seamless integrations. Secondary Responsibilities (25%) Data Platform Support: Pick up analytics tasks and build Python-based visualizations and dashboards using SignOz and standard Python viz libraries. Support the data team with light statistical analysis and exploratory data work as needed. Infrastructure & Orchestration: Work with our modern data stack including Snowflake, AWS (CDK), and orchestration tools. Help build and maintain data pipelines and infrastructure components during non-API sprint cycles. Platform Reliability: Join the on-call rotation to ensure our experimentation platform remains available and performant for internal teams and customer-facing applications. Qualifications 3-5+ years of experience in data engineering, platform engineering, or similar roles Strong Python proficiency with experience building and maintaining production APIs Snowflake expertise , including data modeling, query optimization, and integration patterns AWS experience, particularly with CDK for infrastructure as code Experimentation platform background - experience with A/B testing systems, feature flags, or experimentation infrastructure (huge plus) Self-directed problem solver who thrives with context switching and can balance multiple priorities Strong communication skills with the ability to engage in healthy technical debates and propose implementation strategies Nice to have: TypeScript experience, Airflow/Dagster knowledge, e-commerce or B2B SaaS background Why Neon Blue About Neon Blue: ******************************************************************************** Impact & Autonomy: Be a key architect who shapes the entire data landscape in a fast-growing startup. Experienced Founders: Work alongside a leadership team that has successfully built and scaled a $100M/year e-commerce venture. Cutting-Edge Tech: Get hands-on with modern tooling and cloud platforms for machine learning and real-time analytics. If you're excited about defining and owning the full data stack in a high-growth environment, we'd love to hear from you. Join us at Neon Blue and help us build a data platform that powers the next generation of innovative products!

Why Vizcom Our mission is to reshape design by streamlining the path from concept to creation, bringing more impactful ideas into the physical world. We're well-funded (Series B $51m to date), growing double-digits MoM, and expanding the core engineering team in SF. The surface area is big: realtime collaboration, GPU inference at scale, a modern TypeScript stack, and serving real enterprise customers. The Role Take end to end ownership of critical product areas, from architecture through launch, and set the technical direction for how we build at scale. You will drive design reviews, ship prototypes that push our product forward, and establish pragmatic engineering standards that balance speed and quality. Beyond your own contributions, you will mentor teammates into future tech leads and help us grow a world class engineering culture as Vizcom scales. Interview Process (fast; no leetcode) Intro (30m): mutual fit, role/impact. Architectural deep-dive (60-75m): a real Vizcom problem; you drive the trade-offs. Hands-on working session (90m): pair on a small, realistic slice. Cross-functional chat (30m): product/design collaboration. Founder/CTO conversation (30-45m): values, scope, expectations. References & offer. (Optional paid work sample if preferred to a take-home.) (Key responsibilities) Set the architecture roadmap to keep Vizcom reliable, scalable, and a joy to develop in as usage, models, and data grow. Ship hands-on: jump into code for critical paths, rapid prototypes, and hairy debugging (latency, memory, race conditions, WebGL/WASM quirks). Install quality guardrails that scale: test strategy, code-review norms, perf budgets, observability baselines. Mentor and multiply: develop senior engineers into tech leads; model clear written design and crisp decision-making. Partner cross-functionally: represent engineering trade-offs with Product/Design/Go-To-Market and act as the CTO's delegate when needed. 90-Day Outcomes Reliability & perf: land an observability-driven plan for our top-5 critical flows. Reduce p95 for at least one user-visible flow by ~30% through targeted fixes (query plans, caching, batching, streaming, GPU/CPU boundaries). Architecture: author one substantial RFC (e.g., realtime doc model, rendering pipeline boundaries, or background job topology) and lead it to adoption. Team health: mentor two engineers with measurable growth (scope, design quality, or incident handling). Developer experience: remove one persistent friction (local env speed, CI flakiness, or flaky e2e surface) and document the standard. The Problems You'll Tackle High-fanout realtime collaboration (WebSockets/CRDT-style data models). GPU-backed image generation pipelines and queueing with bursty workloads. Performance across the stack: React/Vite bundles, GraphQL n+1s, Postgres query plans, caching at the right layer. Enterprise-grade SSO/SAML/SCIM, auditability, and secure multi-tenant boundaries. A design-forward UX that must still feel instant under load. (Qualifications) 8-12+ years building distributed web systems (TypeScript/Node preferred) with 2+ years at Staff scope. Depth with Postgres and performance/observability (profiling, traces, query tuning). Experience with container orchestration and production ops (K8s or equivalent). Bonus: realtime collaboration models, WebGL/WASM, GPU workloads, or enterprise identity (SSO/SAML/SCIM). How We Work Small team, high ownership. Fewer people, more leverage. Design-centric. We obsess over speed and feel; “fast enough” usually isn't. Write it down. RFCs, crisp decisions, living docs. Operate what you build. Everyone on call support; incidents drive improvement, not blame.

About Codex Health Codex is a mission-driven health technology company building modern, intuitive products to enable healthcare providers to deliver the best outcomes to patients. The company values a diverse, world-class team and a culture that supports personal and professional growth. What You Will Do Work cross-functionally with Engineering, Product, and Design teams to drive AI product capabilities Build and scale AI/LLM Agent software systems in a fast-paced environment Implement scalable, resilient AI systems on cloud platforms with a strong emphasis on security and privacy Design and build robust data pipelines and APIs integrating sources from patient data to genomics and wearables Collaborate closely with cofounders, product, and design teams to create state-of-the-art AI applications for healthcare Work primarily in Golang and Python (ML/AI packages), on Google Cloud Platform (GCP) with a 100% serverless architecture Integrate with third-party services such as Elastic Cloud, OpenAI, and Google Gemini What We'd Like You to Bring Outcome-oriented, growth mindset with a strong desire to build excellent AI products collaboratively Familiarity with AI product development from conception to production in fast-paced, ambiguous environments Exposure to Context Engineering, Embedding Systems, Semantic Search, Keyword Search, LLM Agent Design, and statistical/probabilistic software systems Familiarity with AI/ML and analytics infrastructure/platforms and data pipelines Proficiency in Golang and Python Experience with database systems such as BigQuery, Elastic Search, and Firestore 3+ years post-college work experience Bachelor's degree in Computer Science or related field (MS preferred) Benefits Incentive Stock Options 401(k) with partial matching Health Insurance (medical, dental, vision) HSA & FSA available Remote work, San Francisco-based Engineering Team Regular U.S. Holidays and Flexible PTO Performance-based raises throughout the year Application Process Apply: Email your resume to ********************* Screen: 50-minute virtual interview with VP of Engineering (company/role intro, values, pair programming) Team Interviews: 3-5 technical interviews (problem solving, pair programming, system design) Final Round: Interview with CEO and meet the team What's It Like to Work at Codex? Early-stage startup with a focus on work-life balance and long-term thinking We're an early-stage startup. While the business needs mean we can't promise you a regular 40-hour workweek, we try our best to respect weekends, vacations, and life outside of work. We believe that Codex should serve its customers and employees long term - and that begins with ensuring employee burnout isn't a part of our employee life. Improving patient health outcomes is a difficult, long-term aspiration. This means we have to create a workplace that values long-term thinking, with near-term results that doesn't sacrifice employees' wellbeing. Remote-first company, with regular in-person events for Bay Area employees We recognize that the ability to work remotely is an employee benefit that significantly influences knowledge-workers lifestyles. It can define our quality of life. We're a remote-first company, with most people living in the San Fransisco Bay Area. We make an effort for San Fransisco **employees to regularly meet in person ****by hosting company Happy Hour events, coordinated co-working days, and more. While the remote work environment creates its own set of challenges (necessitating disciplined communication, building a shared context, maintaining a sense of connectedness, etc.), we see these as opportunities. We understand that traditional, in-office work environments were not the most inclusive spaces. Thus, we believe that hybrid remote work helps promote a diversified workforce with benefits and opportunities that far outweigh its challenges. Transparent, cross-collaborative, and open company culture Transparency - Weekly All-Hands with an “ask anything” opportunity Cross-collaboration - Biweekly Engineering standups Company Off-sites Recognition by company-wide demos of new engineering/product features Open Community - calendars are public so anyone can join almost any meeting or discussion Bottom Up engineering (and product and design) led organization - come to us with your ideas! High impact-to-engineer ratio, open communication, and support for personal growth We're a small team of collaborative individuals with a high impact-to-engineer ratio. Every individual - independent of job title - can make a large impact on any part of the business and materially improve patient health. We dream big and we want to help each other succeed and reach our career goals. We do this through encouraging open communication, empathetic feedback, sharing ideas, listening to each other's perspectives, being available for bespoke 1:1s, and having an overall willingness to work together toward a shared learning environment. We get to work with modern, cutting-edge technologies and systems aimed at revolutionizing the healthcare industry. We also believe that technologies must be used to ensure the privacy and data security of patients. Lastly, we care more about productive work than how you work; giving you the flexibility to discover what's most productive for you. Commitment to diversity, equity, and inclusion

About the Company Assort's vision is to make exceptional healthcare accessible anytime, anywhere, for everyone. We are building the most trusted patient-facing multimodal AI agent with industry-leading safety, accuracy, and user experience. Today, we have helped over 250,000 patients navigate care and are growing rapidly (millions in ARR every quarter, 6.1x growth since Q4 2024). Come build and scale Assort OS - designed to empower physicians and patients with a customizable fleet of gen AI agents. Our platform transforms patient-facing interactions by automating operational tasks, enhancing patient engagement, and driving superior health outcomes. We've raised 26M+ from leading institutional funds like Quiet Capital, as well as several angels, including the former CMO of Flatiron Health and board director of Athena Health, and the founders of Infinitus, Mercury, Mammoth Biosciences, and PathAI. Assort is led by Jon (Founder of Shimmer YC S21, 7 publications in healthcare AI, former UCSF med student, Stanford grad in top 3%) and Jeff (former Head of Product Engineering at Athelas/Commure, first engineer at Cameo, engineer at Facebook, Duke grad). We're on the hunt for an driven, hacky and scrappy software engineers to join our team at an exciting stage of our startup's journey. If you're eager to contribute to building and scaling innovative products, this role is your ticket to making a significant impact. You'll gain hands-on experience in a dynamic startup environment, working with and contributing to cutting-edge generative AI and voice/transcription models + technologies. As part of the first 10 engineers, you will be a cornerstone to our company's growth and success. If you are a self-starter who is ready to wear many hats and build build and scale products from zero-one, then this is the perfect role for you. You'll have lots of autonomy and will need to be comfortable operating in ambiguous situations with an entrepreneurial mindset. Role Responsibilities: You'll have many responsibilities and will be involved in key decisions alongside the founders Work closely with our world class engineering team to develop features and products from the ground up. Enjoy a high degree of autonomy, tasked with solving complex problems in innovative ways. Participate actively in design and development discussions, contributing fresh ideas and perspectives. Engage with healthcare professionals to tailor software solutions that meet real-world needs. Play a role in an agile team, prioritizing rapid development and deployment to meet our ambitious goals. You will develop scalable software solutions that comply with HIPAA and other security standards. How We Work & What We Value We have published our operating principles "Raising the BAARS in Healthcare" on our blog - they describe how we work at Assort. They cover how we aim to run projects, spend time and make decisions. Specifically: Back to basics Accessibility for all Always accountable Relentless resilience Ship fast, ship often 🗒️ What we're looking for Bachelor's or Master's degree in Computer Science or a related field. 3+ years of experience as a software engineer (flexible based on performance in tech interview). Strong proficiency in programming languages such as Python and JavaScript. Experience with cloud computing platforms and deployment, such as Google Cloud Platform and Kubernetes. Knowledge of database management systems, such as Postgres. Experience working with applied machine learning, using open source and APIs (e.g. OpenAI). Optional: Experience working with electronic health record (EHR) systems. Optional: Expertise in audio and voice tech architecture. 🌟What benefits do we offer? Competitive salary and employee stock ownership plan. Full health, dental, and vision insurance benefits. A retirement savings 401(k) plan. Reimbursement for at-home remote work setup. Unlimited PTO.

Sr./Staff Software Engineer We're building the AI platform for underserved industries. LLM usage has seen a meteoric rise in the past year, but there is still a significant gap between agentic innovation and its use in the real world. This is especially true for underserved industries like automotive and healthcare, where outdated systems persist due to barriers to entry, legacy software, and high-stakes consequences of hallucinations and failure. Here at Toma (YC W24), we are bridging this gap by providing a customer-centric platform to deploy and monitor AI agents, even for non-technical users. We recently raised a $17M Series A from a16z and are building the future of human-AI interactions, starting in the automotive industry. Our Team We're assembling a team of Avengers: engineers, product managers, former founders, athletes, and leaders from Scale AI, Uber, Braze, Microsoft, Amazon, and more. We consider everyone regardless of their backgrounds or identities. Learn more about us here. About this Role We're looking for a Sr./Staff Software Engineer to build and own net new products and features and partner closely with product and design to deliver fast, reliable, and magical user experiences. This role is deeply hands-on. You'll be writing and reviewing code daily, shaping architecture, and helping scale our platform as we grow. What you will do Lead the architecture, implementation, and delivery of user-facing products (dashboard, realtime voice AI, support tooling) Write high-quality, production-grade TypeScript across the stack (Next.js, Bun) Mentor and guide engineers through code reviews, design discussions, and technical planning Collaborate directly with Product and Design to align on priorities and execute quickly Partner with other pods to integrate intelligent features into the product experience Drive engineering velocity while maintaining reliability and system health Work closely with customers to translate their feedback into scalable product improvements Preferred Qualifications Experience in TypeScript, low-level Node.js (Bun), T3 Stack (Next.js, React, Prisma, PostgreSQL, NextAuth, tRPC) 3+ years of experience building and scaling full-stack web applications Experience leading projects or teams in fast-paced environments Care about craft and speed (you can move quickly without compromising on quality) Desire to continuously learn Interview Steps Introduction Screen 15-30min chat with CTO Anthony Krivonos Technical Screen 45min coding challenge with a Toma engineer using candidate's IDE (AI autocomplete turned off). It's similar to a Leetcode Easy/Medium that encourages collaboration Onsite 6hr mini project with opportunities to collaborate and eat lunch with the team, culminating in a short, informal demo Work Trial 2wk paid trial (hours flexible) integrating into our team and working on a critical project(s) Compensation $180,000 - $300,000 Free daily in-office lunch and dinners Competitive salary with meaningful equity Free health, dental, and vision insurance Weekly team outings and customer visits Latest, maxed out MacBook Pro Unlimited PTO

About Rundoo Our mission is to empower building materials suppliers with great technology. There are over $1,000,000,000,000 of building materials bought in the US every year, and many of these transactions happen in on-prem point-of-sale systems. We want to bring these transactions online, enabling better experiences for contractors and homeowners alike. What we stand for ⭐️ The values we hold most dear are learning through feedback and experimentation, enjoying our time together, truly empathizing with clients (we've worked at paint stores & lumber yards!), building a diverse team, and driving to achieve as fast as we can. We've raised $18m across three rounds: A $2m pre-seed led by Kent Bennett at Bessemer with participation from Plug & Play, Quiet Capital, and Sequoia. A $5m seed led by Caitlin Bolnick Rellas at CRV. An $11m series A led again by Bessemer and CRV. About the role What you'll achieve with us You'll make significant individual contributions that get used instantly & heavily by our clients who depend on our software to run their businesses. You'll leverage your orthogonal expertise to introduce abstractions and systems that improve the team's velocity. You'll raise the bar for engineering quality by setting and enforcing standards. You'll mentor teammates to help them grow as architects & engineers. You'll work closely with product & design teammates and our clients to collectively define what we're building. YOE 3+ years of experience Salary $175k - $243k (Lower end is for Mid 1 level, top end is for Staff level) Equity 0.017% - 0.31% Visa sponsorship available Hybrid work policy HQ in Redwood City Employee benefits -Medical, vision, and dental insurance with 100% premiums covered for you, 50% for dependents (~$5-6k/yr) -Daily lunch (~$4k/yr) -Learning materials and Coursera courses (~$1k/yr) -Unlimited audiobooks via our team subscription to Libro ($500/yr) -Gym membership! (~$1200/yr) -Unlimited PTO -Betterment 401k -Dog-friendly office -And more! If you have ideas, let us know Compensation level: Staff: Salary $243K • 0.31% Senior: Salary $218K • 0.258% Mid 2: Salary $191K • 0.21% Mid 1: Salary $175K • 0.017% To promote internal fairness, all compensation is internally transparent. That is, all Dooers know each other's salaries. Compensation varies by role, seniority, and location.

$200K - $250K, 5 days onsite in San Francisco About the role FleetWorks is a vertical AI agent for the outdated freight brokerage industry. To book just a single truckload of Coca-Cola from Atlanta to Chicago, a freight broker has to send and receive up to 50 phone calls, emails, and text messages. This can take hours out of their day. FleetWorks automates this human labor with an omni-channel AI. Our product is already used by many of the top 100 brokers in the U.S. This role is a good fit if you are excited to learn about logistics and are passionate about AI, owning product decisions, and great design. As an early software engineer, you will have a role in bringing AI to the transportation industry: shipping new features, talking to users and shaping company culture for other team members to come. About you: You have 3+ years of experience building scalable systems. Rare exceptions are made for individuals with a demonstrated history of high agency: previous startup founders, self-starters with unconventional paths and dropouts who have shipped exceptional products. In SF, or willing to relocate. You want to make outsized impact and thrive when surrounded by top performers. You have a strong drive. Other people describe you as someone who takes their work seriously (maybe a little too seriously). It goes from just being a job to an obsession. You have to like challenges. This is hard. We handle tens of thousands of phone calls/emails per day and coordinate complex agentic workflows to make them happen. You have to want to win. You can expect the following Interview process A 30-min take-home technical challenge. Two 1-hour live coding interviews with engineers. A paid onsite work trial (number of days variable based on your availability). We may speak with 1-2 references that you provide.

About the Role As a Staff Backend Engineer at Anon, you'll architect the core infrastructure that enables AI agents to navigate complex authentication systems and extract data at enterprise scale. You'll design distributed systems for parallel agent execution, establish technical standards across our engineering team, and ensure high reliability for mission-critical workflows processing millions of records. This role combines deep technical leadership with hands-on architecture, setting the foundation for how enterprises will interact with their data through AI. Key Responsibilities Core Platform Development Develop resilient AI agents that navigate web interfaces, handle dynamic content, and extract data from systems without APIs Design systems for parallel agent execution, real-time data processing, and fault-tolerant authentication handling Lead technical design of core platform components including our authentication layer, data extraction engine, and transformation pipelines Establish engineering best practices, design patterns, and technical standards across our team Own end-to-end reliability, performance optimization, and capacity planning for mission-critical enterprise workloads Own infrastructure architecture and DevOps practices including CI/CD pipelines, monitoring/observability systems, and incident response procedures Mentor & Lead Provide technical mentorship and career guidance through one-on-ones, code reviews, and hands-on collaboration Lead cross-functional technical initiatives Drive engineering best practices and technical standards

About Charta Health At Charta, we're pioneering a transformative approach to healthcare administration and patient care through the power of generative AI. Our mission is to revolutionize this critical yet often cumbersome aspect of healthcare, empowering doctors, nurses, and medical billers with tools that elevate their efficiency by leaps and bounds. Our innovative AI technology enables these professionals to operate at an astounding 10x to 100x more efficiently, while significantly reducing operational costs to just 2% of the standard expense. In an industry where the focus should rightly be on delivering critically needed care to patients, Charta steps in to ensure that healthcare providers are unburdened from the complexities of non-clinical operations. Our customized, cutting-edge solutions are designed to handle the intricacies of the revenue cycle, freeing up healthcare professionals to concentrate on what they do best - caring for patients. Our vision at Charta is to create a seamless, efficient, and cost-effective healthcare administration process that is invisible yet indispensable. By entrusting us with the operational challenges, healthcare providers can redirect their resources and attention towards patient-centric services, secure in the knowledge that their administrative needs are expertly managed. Join us in our journey to redefine healthcare billing, improve patient care, and be a part of a team that's making a tangible difference in the world of healthcare. About the Opportunity At Charta, we prioritize results compared to methods used to achieve those results. As a Staff Software Engineer, you're responsible for the software solutions you develop. The role demands making informed decisions about project priorities, keeping in mind the product's future and its roadmap. You'll leverage technology to resolve problems, design customer-centric products and features, and maintain systems that can be scaled extensively. Joining our multidisciplinary team, your tasks would include: Determining team objectives and priorities, Being involved from the outset in product ideation and development, Taking initiatives for product discovery and refinement sessions, Being responsible for problem analysis, crafting solutions and architectures, Delivering top-quality code and thorough documentation, and ensuring smooth deployment. You'd be a great fit, if you have: Bachelor's and/or Master's degree in Computer Science or related field At least 4 years (Staff - 6 years) of professional experience in software development shipping production code. Fluent in one or more backend languages such as Python, Node.js, Java or C/C++. Next.js and/or React experience is a plus. Experience building, testing and deploying microservices. Interest or experience developing or leveraging modern generative AI technologies, including both proprietary and open-source large language models is a plus. Distributed systems development experience. Performance optimization is a plus. Experience with AWS, PostgreSQL, Docker and ECS/Kubernetes is a plus. Strong communication skills to be used across engineering, product and other functional teams. What We Offer Competitive salary and comprehensive benefits package, including health insurance, dental insurance, vision insurance, life insurance, and more Team dinners and snacks in the office to keep you at your best Growth opportunities in a fast-paced, innovative tech startup Ongoing professional development and access to cutting-edge AI and healthcare tools Wellness & learning stipends so you can invest in both your health and personal growth Lively in-person (required 5 days per week) work culture at our headquarters in downtown San Francisco

Senior Software Engineer - Machine Learning/Ops What we do is develop software tooling and infrastructure to run ML workloads, with the Data Scientists as Model operators as our end users (and stakeholders). ML knowledge is crucial for the team to develop the right tooling and understand the problem space. But we don't do “Data Science” in our day-to-day work. We seek a highly skilled and experienced senior machine learning engineer to join our team. The ideal candidate will have a strong computer science and mathematics background and experience building scalable software systems to apply machine learning algorithms in the enterprise domain. A successful candidate will thrive in a fast-paced, highly collaborative environment, and demonstrate an ability to lead teams to execute precisely and quickly. The ideal candidate will have excellent communication skills, in-depth experience with data science workflows, and have participated in or built agile and high-performing teams. As a C3 AI Platform engineering team member, you will closely collaborate with product owners and data scientists and be responsible for the entire software engineering lifecycle. Responsibilities: Build systems and tools that enable data scientists to create machine learning applications using the C3 AI Platform, from data exploration and model experimentation to model operations. Improve a framework for building scalable, end-to-end machine learning pipelines in a distributed system. Collaborate with and support data scientists to understand the utility of the C3 AI Platform and define new requirements. Work with product owners to define and lead the development of longer-term C3 AI Platform capabilities. Mentor junior members of the team. Qualifications: Advanced degree in computer science, math, or similar field. Strong programming skills in Java, Python, and JavaScript, with a taste for DRY code. Thorough knowledge of data structures, algorithms, profiling/optimization, and Object-Oriented and Functional Programming. In-depth understanding of machine learning algorithms. Proven track record of applying machine learning algorithms in a production system. Demonstrated end-to-end ownership of projects, including making key design decisions and understanding the tradeoffs. A minimum of 5 years of work experience in a fast-paced software company.

Halo is developing always-listening smart glasses that deliver real-time context and memory recall without prompting - a proactive step beyond today's wearables. Imagine putting on a pair of glasses and instantly understanding any word, calculating large numbers, recalling every conversation, and knowing the best thing to say in a meeting. The company has gone viral multiple times (80M+ views across demos), and has been featured in The New York Times, Forbes, NBC, Wired, Business Insider, and TechCrunch. Halo is building what they describe as “the future of wearable intelligence - technology that feels like a superpower.” Funding & Team Funding: $6.6M Seed round led by General Catalyst, with participation from Naval Ravikant and others HQ: San Francisco (on-site) Team size: 8 total (4 engineers across software, firmware, hardware) Goal: Hire 1 new Software Engineer to help ramp toward launch (potential for a 2nd hire depending on growth) Product & Traction 3,000 V1 units in production via manufacturing partner in Shenzhen 600-700+ pre-orders to date (targeting 3× scale for next version) Viral early prototypes led to widespread media coverage and positioned Halo as a frontrunner in proactive AI wearables Role Details - Software Engineer (On-site, SF) Overview: Generalist SWE who can contribute across backend, iOS, and firmware to accelerate the product toward launch. Core Stack: Backend: Python, AWS iOS App: Swift (for transcription + on-device interface) Firmware: C Ideal Background: 1+ year post-university experience (open to junior to mid-level) Experience shipping production software to thousands of users Passion for elegant, efficient systems and cutting-edge hardware/software interaction Startup mentality - hands-on, flexible, collaborative Experience with hardware integration is a plus but not required Compensation: $120k-$200k base DOE + 0.5-1.75% equity Culture & Environment Intense, fast-paced, and product-driven - the founders describe it as “a radical experiment in building and shipping a generational product.” Expect high ownership, tight collaboration, and long hours (10-hour days, occasional half-day Saturdays). Fully on-site in San Francisco - they value close teamwork and rapid iteration. Candidates should be mission-driven builders who want to push the boundaries of AI and wearable tech. Interview Process Background / technical screen with Co-founder (Zach) 1-hour deep technical dive with Lead SWE (Charlie) - includes a case study/problem Short in-person trial (case-by-case if employed or remote)

Layer provides embedded accounting software for vertical SaaS platforms and neobanks that serve small and medium-sized businesses. We're building accounting software and bookkeeping services API-first so they can be integrated directly into the SMB software platforms where business owners already work. With Layer, small business owners get a radically better accounting experience with frictionless integration and the SMB software platforms increase customer engagement/revenue by solving this core pain point. Looking for excellent full stack engineers passionate about Fintech or Vertical SaaS who want to accelerate their career and take on high levels of product ownership at Layer! About Layer We want engineers who can build a team and a company, not just a best-in-class product. We believe that certainly takes broad technical competence across our tech stack, but it also takes harder to find abilities, such as… Thinking forward from first principles and backwards from customer needs at the same time. Curiosity about both technical and business problems. Navigating competing priorities and tradeoffs using your own mental map of company goals. A desire for ownership in product & team decisions. Loving people and wanting to make your teammates around you better at their own strengths. Role responsibilities: Plan and build full-stack products (API-first accounting software and bookkeeping services) with developers and end users in mind. Perform testing, deployment, monitoring for the products that you build. Act as a technical point of contact for customers in the implementation phase. Collaborate with a team passionate about helping SMBs and the people involved. Interviewing other new candidates Role details 2 - 4 years of experience as a full stack engineer on strong software engineering teams Salary $170k - $180k Equity 0.5%-0.75% Visa sponsorship available Open to H1-B transfer of TN, but no full sponsorship On-site work policy SF co-working space Full-time position Hiring goals ASAP Multiple openings We are looking to hire 2 - 4 candidates for this role Location San Francisco Report to ********************************** Tech stack Kotlin (open to other backend languages!) React, Ktor, Prostgres (RDS), Exposed, Kotest/JUnit, Github Actions, Containerized ECS service behind API Gateway, Betterstack & Sentry

Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly. What makes our tech special is our multi-stage architecture: Layout understanding with specialized component detection models Low-latency OCR models for targeted extraction Advanced reading-order algorithms for complex structures Proprietary table structure recognition and parsing Fine-tuned vision-language models for charts, tables, and figures If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence. What we are looking for 5 days in-office at our San Francisco office Eager to learn and adapt quickly Prior startup or founding experience is a plus About the Role Design, build, and operate features that power extraction, review, and analytics. Work across the stack and ship measurable product improvements. Responsibilities Build backend services in Python and secure APIs Ship front end features in React and TypeScript for our console and tools Improve accuracy, latency, and reliability across the extraction pipeline Write tests, own deployments, and monitor production health Collaborate with design, ML, and customer-facing teams Requirements 2+ years building production software, new grads considered Proficiency in Python or TypeScript, plus SQL Clear communication and bias to ship Nice to have FastAPI, Postgres, Redis, React, AWS Sponsorship Sponsorship available. Compensation and benefits Competitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.

About Eventual Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today's data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can't. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. We've assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we're looking to double the team now. Join us-Eventual is just getting started. Please note we're looking for individuals who are excited to be a part of a tight-knit team working together 4 days / week in our SF Mission district office. Your Role: As a Software Engineer, you will be responsible for building Eventual's core products and architecture. You will ship features that will be immediately used by our customers and will work with a tight-knit team that values open communication and cross-functional collaboration. We move quickly to solve a wide range of complex technical and product challenges. While we are an experienced team that can provide constant guidance and mentorship, we value engineers who can autonomously scope and solve difficult technical challenges. Key Responsibilities: Design and build highly reliable and resilient products and features. Work closely with cross-functional product and customer-facing teams to understand requirements and ship thoughtful solutions. Write high-quality, extensible, and maintainable code. Design and build scalable applications and components. Design and build the UI and APIs to drive existing and new features for a managed enterprise product. What we look for: 5+ years of experience working with fullstack engineering (web applications, developer facing products, etc) Proven experience in building and delivering core product features with a strong focus on user obsession, including direct collaboration with clients to gather requirements, manage feedback, and provide timely support. A unique startup growth mindset of responsibly take on tech debt for velocity and building for future extensibility Familiarity and experience with cloud technologies (e.g. AWS S3 etc) Experienced with taking a product from ground zero to production. Most importantly, we are looking for someone who works well in small, focused teams with fast iterations and lots of autonomy. If you are passionate, intellectually curious and excited to build the next generation of distributed data technologies, we want you on the team! Perks & Benefits In-person tight knit team with 4x a week in office Competitive comp and startup equity Catered lunches and dinners for SF employees Commuter benefit Team building events & poker nights Health, vision, and dental coverage Flexible PTO Latest Apple equipment 401k plan with match!

We're looking for a product-minded engineer to explore new 0→1 opportunities in AI, particularly in the marketing domain. You'll help build early experiments and infrastructure around using LLMs and light ML to generate insights and content from customer data. This role blends backend engineering, data analysis, and applied AI, with a strong focus on speed, creativity, and impact. You'll work closely with a small team to prototype and ship new product ideas quickly, laying the groundwork for what could become major product lines. What you'll work on: Take ownership of exploring new 0-1 opportunities in AI, particularly in the marketing domain, and help define the future of AI-powered marketing. Build early experiments and infrastructure around using LLMs and light ML to generate insights and content from customer data. Work closely with a small team, and directly with the CTO and COO, to prototype and ship new product ideas quickly, laying the groundwork for major product lines. Explore different AI methodologies and determine where various LLMs can and cannot be effectively used within the product. Contribute to the development of an AI agent that functions as an automated data scientist/marketer, capable of finding unique insights, converting them to marketing opportunities, generating content, and identifying high-propensity users or those likely to churn.

We're looking for a Senior Software Engineer that will be a valued team member responsible for the design and implementation of our client's product. Our client is the world's largest website optimization platform, currently a series C start up, they boast an enviable collaborative environment. Job Description The engineering, product, and design departments truly work together as a team in a fast paced environment, with 1- 2 deployments daily. Qualifications Must haves: Familiarity with full-stack web application using a Python framework on Google App Engine. Javascript frameworks NuclearJS and React Basic familiarity with HTML, CSS, AJAX, asynchronous calls Great understanding of end-to-end lifecycle of a web request from browser to database Ability to write modular, clean,, and testable code taking into consideration challenges such as web security and cross-browser capability Additional Information Company benefits include gym membership, commuter benefits, catered in office lunches, full health, dental and vision benefits including dependents, 401k, and unlimited PTO policy with an exceptional paid parental leave program.

Full-stack generalist work which can include: standard webapp dev, data pipelining work, AI + LLM work, infra + etc. So, a backend lean is definitely useful. This person will own small to medium sized projects entirely end to end but will have assistance from team members wherever needed (not on an island). Not necessary, but if interests align there are opportunities to work directly with the customer in a forward deployed manner for some percentage of the time. What You'll Do: Architect and build: Design and develop a variety of systems including distributed job queues, data lakes and syncing mechanisms, agent orchestration layers, LLM prompt evaluation workflows, monitoring infrastructure, and CI/CD pipelines. Leverage emerging AI innovations: Use the latest advances in the AI ecosystem to build intelligent solutions that enhance MSP services and client experiences. Collaborate cross-functionally: Work closely with our partner MSPs and various other departments (finance, support, etc) to prioritize the most impactful products. Experiment and optimize: Explore emerging technologies and frameworks to strengthen our tech stack while being mindful of stability, future-proofing, and total cost of ownership. Champion best practices: Improve code quality, drive standards, and help foster a culture of continuous learning and open communication. Scale effectively: Ensure our platform remains performant and reliable as we grow. You Might Thrive at Treeline If You: Enjoy variety: You're eager to own projects end-to-end across diverse areas like distributed systems, data engineering, and infrastructure. Value modern tooling: You embrace new tools and frameworks (e.g., Graphite, Linear, Cursor) while keeping a pragmatic mindset on technology choices. Prefer fewer meetings: You thrive in a low-meeting culture that lets you focus on building great products and optimizing systems. Welcome autonomy: You take initiative, experiment fearlessly, and enjoy having ample room to learn and innovate. Communicate openly: You believe in a respectful, transparent work environment with minimal politics and a team-first mentality. Enjoy Hybrid Office Culture: We are three days a week in person in our SF office located in Hayes Valley. Your Background Might Look Something Like This: 5+ years of professional software engineering experience (strong candidates at different levels are also encouraged to apply) Experience with distributed systems Proficiency with a backend language (Python or Go preferred) Some experience with relational databases (we use Postgres) Why Join Treeline: Competitive compensation plus extremely competitive equity grants High-impact environment with minimal red tape and real influence on product and technical decisions Opportunity for growth in a fast-scaling company backed by top-tier investors Collaborative culture dedicated to learning, experimentation, and personal development

About Us Axle Health builds scheduling and workforce management software to empower in-home healthcare providers to deliver exceptional, personalized care right where patients feel most comfortable-at home. Some of the biggest providers in the country use our software (like Cityblock Health and Grandcare) to improve the utilization of their field teams by 17%+, and automate the operational burden of scheduling and dispatching. Our platform includes proprietary logistics algorithms to optimize scheduling, a mobile app for field staff, an operations dashboard for office teams, engagement and booking tools for patients, and a wide range of integrations and external APIs for modular access. We're a team of top-tier engineers and operators, backed by $14m from top investors such as Y Combinator, Pear VC, and F-Prime, applying our intellect and logistics experience to upend how home healthcare is delivered. About You, the Role We're looking for a growth-stage ready Senior Software Engineer to join our Healthcare Interoperability team, responsible for connecting our best in class logistics platform into users' daily workflows. This role will design and implement high leverage technical processes and systems. Our dream candidate can lead initiatives in different domains and is fueled by a passion for tackling complex problems head-on. You have a combination of practical experience and a strong commitment to your personal growth and the growth of those around you. Whether you've honed your expertise designing web-scale systems at large companies, or scaling startups from 0 to 1, we want to hear your story. What you'll do: Design and implement Electronic Health Record (EHR) integrations Architect high volume systems that will support hundreds of thousands of patients Develop and evolve API integrations within the Axle Heath ecosystem Collaborate with and lead other engineers to build performant, scaleable, and secure systems Mentor junior engineers to further their career trajectories Write documentation to scale team knowledge within and without the interoperability team Required skills and experience: Bachelor's degree 5-7+ years of software engineering experience Strong communication skills to explain technical decisions to non-technical stakeholders Proven ability to conduct effective code reviews Expertise building backend systems in Node + TypeScript (1-2 years) Hands on experience working with SQL databases Experience working in startup environments Demonstrated ability to self-learn and quickly adapt to new technologies Nice to have: Experience working with Electronic Health Records (EHRs) and/or healthcare interoperability (FHIR / HL7) Working knowledge of CI/CD, DevOps, and build systems Track record of mentoring junior engineers Tools You May Use ExpressJS + TypeScript GraphQL + React + React Native PostgresSQL AWS Datadog Git / Github Django + Python3 What We Offer In addition to offering a competitive salary and equity, we want to ensure every team member has the tools they need to work to the best of their ability. To that end… We are committed to your Ownership: We cultivate an environment where team members feel ownership over the work they do. Everyone in an organization has big ideas and we want to hear them and implement them. All of our employees have equity compensation. We want you to benefit from all the hard work you do in helping patients and catalyzing this shift in healthcare. We are committed to your Wellness: Comprehensive Medical, Dental, Vision 401k plan Flexible PTO, sick days, and working hours Santa Monica HQ with 180 degree beach views and daily catered lunches We are committed to your Growth: Fast paced work environment geared towards professional growth Get the chance to move roles within the organization to learn new skills and continue to make an impact We are committed to building Community: Monthly team events, dinners, & happy hours Special team outings - some past events have included: yacht cruises, visits to Universal Studios, Magic Castle, and Vegas