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🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work – you're defending cutting-edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands-on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real-time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale. You'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense-in-depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating. This role can be based out of our San Francisco or Seattle office, reporting to our head of security operations. 🦸🏻‍♀️ What you’ll do - Design and implement detection strategies that identify AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure - Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self-healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints - Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership - Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI-specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them - Build detection-as-code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data - Collaborate cross-functionally as the operational security partner for all teams – translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer-impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails - Maintain 24/7 on-call rotation for critical AI security incidents, responding to real-time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve ⭐️ What you need - 3-5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, specifically securing AI/ML infrastructure, high-performance computing environments, or other distributed systems at scale - Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud-native and distributed computing environments - Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments - Self-directed execution mindset with a track record of securing high-value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents - Deep alignment with WRITER's values – you naturally Connect across security, infrastructure, and AI research teams to build comprehensive defenses, you Challenge assumptions about what's possible in AI security engineering, and you Own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

Listed by Writer for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

5 days ago

Senior Software Engineer

Gynger · New York City, NY

Pay

$175k–215k

Setting

On-site

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Gynger is the agentic credit risk function for tech CFOs - unlocking embedded financing at the speed and scale of tech.

We're a cash flow management platform with embedded financing that gives B2B technology vendors the power to offer flexible payment terms to customers while securing upfront payment. Finance leaders use Gynger to combine actionable insights with capital, optimizing day to day cash flow, accelerating deal cycles, mitigating risk, and executing on long term strategy.

We're building the rails that financed tech B2B deals will run on. Our AI agents sit inside the credit and risk function, embedded directly in the sale, giving buyers buy-now-pay-later flexibility on their technology purchases while vendors get paid upfront.

Founded in 2021 and headquartered in NYC, Gynger has raised $20M in Series A funding with investment from Gradient Ventures, Velvet Sea, BAG Ventures, MXV Capital and others.

For the third year running, Gynger has been recognized as one of Built In's Best Places to Work 2026.

The Role

We're building the AI-native infrastructure for tech financing, and we're looking for a Senior Software Engineer who builds with AI, not just around it.

You'll help architect and develop the agentic systems that run our credit risk function — underwriting, risk monitoring, collections, and payments — as complete processes an agent can carry from start to finish, rather than a single feature layered on top of a workflow. You'll work across the stack, with particular depth on the backend: scalable APIs, thoughtful data architecture, and services built to support real financial workflows. You'll also help shape how we build, bringing modern AI-assisted development practices into our everyday work and helping our engineering standards evolve alongside the tools themselves.

This is a role for someone who wants a hand in shaping the product, the architecture, and the way the team works, not just executing what's already been decided.

Listed by Gynger for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

5 days ago

Infrastructure engineer

Writer · New York City, New York, United States

Pay

$140k–274k

Setting

Hybrid

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🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City, San Francisco, Seattle, or London hubs. You'll report to our director of engineering. 🦸🏻‍♀️ What you'll do Technical - Breadth across disciplines. Bring deep focus to one problem at a time, with the breadth to move between SRE, DevOps, Infrastructure, and Platform work over a quarter or two as the leverage shifts. This is not a thrash-every-week role — most of the time you're heads-down on one substantial initiative (the on-call posture, the release pipeline, the multi-region Terraform layout, the internal platform surface). Cross-layer fluency is what lets you pick the right next initiative; it isn't a weekly context-switch. - Simplicity / via negativa. Challenge the status quo and remove toil before adding features — automate operational tasks and infrastructure management with Python or Go, reject tools that don't fit the problem, and treat manual on-call work as a defect to be designed out, not a status quo to be staffed up. - Breadth across the stack. Design scalable, fault-tolerant infrastructure across AWS (preferred), GCP, and Azure, working fluently across Kubernetes, Helm, Terraform, and the supporting cloud and AI tooling that backs WRITER's high-traffic platform. - AI in workflow. Run agents in your daily loop — Claude Code, Droid, Codex, internal skills — to investigate incidents, draft Terraform / Helm changes, write runbooks, scaffold tooling, and review PRs. Build the agentic setup as a collective surface: humans and digital teammates working as one team, with shared skills, shared context, and shared on-call workflows. Encode recurring infra tasks as internal skills any teammate (human or agent) can pick up and run, so the team's throughput compounds — not just your own. - Debugging fluency. Lead incident response, post-mortems, and root-cause analyses — trace failures to the underlying problem (never the symptom), apply the learning back into the architecture, and prevent the same incident from happening twice. Non-technical - End-to-end ownership. Own the reliability, performance, and efficiency of WRITER's core services end-to-end — define and uphold the SLOs and error budgets, carry the on-call pager, and stand behind the outcome metric, not just the system you shipped. - Strategic vs. tactical balance. Balance this week's critical work with the 6–12-month platform direction — ship the on-call-driving fix today while shaping the multi-year observability, cost, and reliability investments that move WRITER's enterprise customers. - Cross-functional collaboration. Operate at the seams with product, security, and engineering peers — provide expert guidance on system design for reliability, performance, and scalability from conception through launch, Connect the infra agenda to product and revenue context, and disagree with evidence, not volume. ⭐️ What you need Technical - Track record. 5+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems at a high-growth product company. - Breadth. Experience running containerisation in production (a real cluster, not a lab), with experience in Helm and Terraform or Pulumi on at least one major cloud (AWS preferred), plus good proficiency in Python or Go for automation and tooling. - AI in workflow. AI is part of how you ship, not a thing you've read about — agentic tooling (Claude Code, Droid, Codex, internal skills) is in your daily loop, you've built or adopted AI-assisted workflows others now use, and you have strong opinions on where it's unreliable. This is a hard requirement, not a bonus. Candidates whose actual daily workflow does not already include AI tooling will not be advanced. - First-principles + decision-making. Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems — reason from constraints and failure modes (not analogy or vendor defaults), name the tradeoff in business terms (reliability vs. velocity, cost vs. blast radius, standardisation vs. one-off), and reject the "best practices" answer when it doesn't fit the problem. - Reversibility & blast-radius. Make reversible calls by default — write the rollback before you touch production, work fluently with monitoring and logging stacks (Prometheus, Grafana, ELK or equivalent), and stress the system in safe places so it comes back stronger. Non-technical - Cross-functional collaboration. Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams — surface non-goals before anyone asks, and partner with product, security, and platform peers as one delivery surface. - Autonomy & end-to-end ownership. A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability. At least one 0-to-1 infrastructure build you owned end-to-end, with the outcome metric attached. 🎁 Bonus if you have - Software-engineering depth. A software-engineering background, not only config and scripting — you've designed, built, and shipped non-trivial production code (services, libraries, internal frameworks) in Python, Go, or a comparable language, you can read and modify the codebases your infrastructure runs, and you move between infra automation and feature engineering without changing brains. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

Listed by Writer for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

5 days ago

Security engineer, application security

Writer · New York City, New York, United States

Pay

$132k–258k

Setting

Hybrid

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🚀 ABOUT WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 ABOUT THE ROLE This is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy. The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago. This role is hybrid from our New York City, San Francisco, or Seattle offices, reporting to the head of security engineering. 🦸🏻‍♀️ WHAT YOU'LL DO - Build security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one—not after the fact - Own and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach production - Partner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by default - Design and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers.. - Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build products - Lead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scale - Design and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agents - Stay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks ⭐️ WHAT YOU NEED - Minimum 4 years of hands-on experience in application security engineering, with a proven track record of securing large-scale production systems—bonus points if you've worked in fast-growing startups or high-growth environments - Understanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers. - Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implications - Knowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices—you know which tools to use and when automation beats manual review - Excellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non-technical audiences—you can explain why something matters and motivate teams to action - A builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks—you understand that security enables the business, not blocks it - Alignment with WRITER's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end-to-end responsibility for the security of our platform) - *This role is open to Mid, Sr. and Staff level candidates 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.

Listed by Writer for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

6 days ago

Staff Software Engineer, Internal Tools & Automation

Crusoe · San Francisco, California, USA

Pay

$215k–260k

Setting

On-site

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Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As a Forward-Deployed Engineer, you will embed with another Crusoe team, such as SRE, Finance, Sales, People Ops, or a product group. You will learn how they operate and build software that helps them take the next action, not just describe the problem. This is a forward-deployed engineering role serving internal teams. Your customer is a Crusoe team. Your product is the application, automation, or agent that makes their work faster, clearer, and more dependable. Success is measured by adoption and by the time and effort you return to the team. This is also a new function. You will be one of its first engineers and will help shape how it operates. Several capabilities have matured recently. Modern BI tools now support write-back, so dashboards can update real records instead of only displaying them. Company data and operational context are reachable by AI agents through governed interfaces. Automation platforms and a shared library of reusable skills let you connect actions across many source systems, including CRM, support, infrastructure inventory, and the data warehouse. Together, these capabilities allow an embedded engineer to deliver interactive tooling in days instead of quarters. We are looking for engineers who want to use that leverage to help internal teams move faster with confidence. What You'll Be Working On: - Embed with a stakeholder team. Participate in their rituals, observe manual workflows, and identify high-leverage work that software can remove. - Build applications. Build interactive tools that take action: read data, apply decisions, and write results back to systems of record. - Automate real workflows. Replace repetitive work with pipelines and agents that run independently and involve a person when judgment is required. - Own the work end to end. Scope problems with stakeholders, then build, deploy, measure adoption, and iterate. You are accountable for outcomes, with support from partner teams. - Contribute to the platform. Turn reusable parts of your work, such as skills, integrations, or UI patterns, into shared building blocks that accelerate future engagements. - Keep it correct. Build on sources of truth, respect governance and access controls, and make tooling reliable enough for daily operational use. What You'll Bring to the Team: - 8+ years building and owning production software. You write clean code, ship it, and remain accountable for it in production. - Staff-level scope and judgment. You can take an ambiguous, greenfield charter and turn it into a plan and shipped software with limited direction. You raise technical standards and help engineers around you grow. - Full-stack engineering skill. You can build user-facing interfaces, backend services and APIs, and the supporting data layer. - Strong SQL and data modeling. You can navigate a data warehouse, reason about pipelines, and validate numbers before relying on them. - Product mindset and stakeholder fluency. You collaborate well with non-engineers, translate manual processes into clear tools, and push back when a request is not the right solution. - Fast delivery with attention to correctness. You get a useful version in front of users quickly, then harden it thoughtfully. You maintain a clear standard for completion. - Comfort with AI-assisted development. You use LLM agents and automation platforms effectively, and understand where guardrails are required. - Strong ownership. You measure success by whether stakeholder work becomes easier, faster, and more reliable. Bonus Points - Experience as a forward-deployed, solutions, or embedded engineer. - Prior BI or analytics engineering work with tools such as Sigma, Looker, dbt, or Tableau. - Familiarity with automation platforms such as Workato or n8n. - Experience building on MCP, agent frameworks, or LLM tool use. - Comfort in an early-stage environment with a high degree of ambiguity. Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $215,000 -$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Listed by Crusoe for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

6 days ago

Senior Backend Engineer (Remote, US)

Openly ·

Pay

$146k–218k

Setting

Remote

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[https://openly.com/hs-fs/hubfs/2026BPTW_GeneralBadge_FullColor.png?width=400&height=458&name=2026BPTW_GeneralBadge_FullColor.png] READY FOR YOUR NEXT CHAPTER? Build the future of insurance with a team that values simplicity, empathy, and innovation. Openly is redefining the insurance experience, replacing decades of complexity with clarity and modern technology. We’re the insurance provider people trust and the partner independent agents choose. WHAT SETS US APART - Technology that delivers: We use data to modernize underwriting and deliver tailored insurance solutions that fit how people actually live. - Superior protection: Highly customizable coverage designed around what policyholders need. - Effortless from quote to claim: Simple, intuitive workflows for independent agents and fast, human-centered care for policyholders. OUR CORE VALUES Our people are as important as our product. Collaboration, open communication, and work-life balance aren't just nice-to-haves, they’re at the core of how we operate. We look for people driven by integrity, empathy, teamwork, curiosity, and urgency, because a great company starts with the right people. DIVERSITY, EQUITY, & INCLUSION We embrace individuality because everyone deserves to work somewhere they belong. We’re committed to building an inclusive culture that spans race, gender, age, religion, identity, and background. Job Details We’re hiring a Senior Backend Engineer to be a part of one of our core teams building the backend for Openly's insurance platform. You will play an essential role in designing, building, testing, and maintaining the services and technology that power our insurance offering and customer experiences. Key Responsibilities - Collaborate with internal and external partners to develop the core systems and create APIs that power our best-in-class user experiences. - Build out our internal tooling and APIs to make business and engineering processes easier, faster, and safer. - Implement systemic changes to align existing systems with current architectural goals. - Integrate with external services to manage payments, documents, and claims. - Integrate with data providers to source real-time information on hundreds of data points, including property characteristics and risk profiles. - Provide subject matter expertise, mentorship, and support to individuals on your team. - Collaborate on architectural discussions with your team. - Contribute to important architectural and operational decisions like microservices vs. monoliths, deployment techniques, technologies, policies, etc. - Participate in daily stand-ups, weekly 1:1's, and biweekly retros. Our stack - Backend: Go & Postgresql - Frontend: Browser-based, VueJS, Webpack, Nuxt &, Tailwind - Research/Data Science: R, ArcGIS, Jupyter Notebooks, & Python - Data: GCP GCS, BigQuery, Composer/Airflow, Cloud Functions, Postgres, SQL, Python, Go, Aiven Debezium and Kafka, Fivetran - Infrastructure: Google Cloud, specifically Cloud Run, Kubernetes, Pub/Sub, BigQuery, and CloudSQL, managed with Terraform. We use GitHub for code hosting, DataDog for monitoring, and CircleCI for running our CI/CD pipelines. - Remote work tools: Slack, Zoom, Donut Requirements - At least 4 years of professional/production experience developing backend web-stack applications. - Professional experience leveraging Go in prior roles. Please note, part of the interview process includes completing a code challenge in Go. - Sustained track record of creating improvements in business-critical systems around stability, performance, and scalability. - Demonstrated ability to deliver complete systems from start to finish in a reasonable time frame with little or no supervision. - Strong interpersonal skills, such as an ability to explain complex technical concepts to non-technical audiences. Applicants must be currently authorized to work in the United States on a full‑time basis. This position is not eligible for employer visa sponsorship now or in the future. PERKS & BENEFITS Great work happens when people feel supported. Our benefits are designed to care for you and your family at every stage of life. - Remote-first culture: We supported remote work long before it became standard, and we remain dedicated to a flexible work model. - Competitive pay & equity: Top-tier base salary paired with ownership in Openly’s growth. - Comprehensive health coverage: Medical, dental, and vision plans tailored to you and your family. - Life & disability insurance: Full coverage including voluntary supplemental options. - Paid parental leave: Up to 8 weeks (320 hours) of paid parental leave for eligible employees (with additional disability coverage available for birthing parents). - 401(k) company contribution: Openly contributes 3% of your gross income, regardless of whether you make personal contributions. - Home office setup: A $1,500 upfront allowance to build your ideal remote workspace, plus a $75 / month internet stipend. - Professional development: $2,000 annually to invest in courses, conferences, or resources to help you grow. - "Be Well" program: A $50 / month stipend dedicated to your personal health and wellness. - Volunteer hours & referral rewards: Paid time off to give back to your community, plus generous financial rewards for referring great talent. Note: Select roles may also be eligible for cash incentives or sales commissions. Eligibility for all compensation and benefits is governed by applicable plan terms. OUR HIRING COMMITMENT Our process is designed to be transparent, respectful, and human. At every step, you’ll get to showcase your strengths, ask tough questions, and find out if Openly is the right fit. U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer and currently residing in the US will be considered. Openly is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Openly is an E-Verify Employer in the United States. Openly will make reasonable accommodations for qualified individuals with known disabilities under applicable law. We strive to provide an exceptional applicant and candidate journey when you engage with us. In an effort to respond to applicants in a timely manner, we leverage AI to organize applications and resumes based on required and applicable skills and experience. To allow our applicants to drive their initial interview experience with us, we may leverage an AI-supported scheduling tool so you can choose when to meet with our team. While AI assists with efficiency, all hiring decisions are made by our team members. Rest assured, your data is protected according to privacy laws and company policies. Contact our recruitment team with any questions about our AI-assisted hiring process.

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