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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

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

9 days ago

Lead Software Engineer

PactFi · New York, New York, United States

Pay

$260k–275k

Setting

Hybrid

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About PactFi Private asset markets (PE, Private Credit, VC, Real Estate) have 10x to 9.8T in AUM over the past decade and are projected to grow to $17T in the next five years. However, digital infrastructure has not kept pace, with most of the market operating predominantly in error-prone, internal-only software solutions. PactFi provides secure, end-to-end, operational infrastructure for managing complex private credit transactions. Our web-based application brings together all parties involved in such a transaction to more efficiently allocate capital, complete KYC, share documents, manage funds flow, and more. The platform is secured to a bank-grade standard, and we have received our SOC 2 Type 2 attestation. PactFi was developed in close partnership with two of the industry's largest players, both of whom represent the top 3 players in the private credit space by both size (AUM) and deal activity. PactFi is seeking a Lead Software Engineer to act as technical lead for a product squad. We're looking for a generalist builder, someone who can pick up whatever the problem requires, ship it, and bring the team with them. This is a hands-on role: you'll spend most of your time building and reviewing code, and the rest raising the level of everyone around you. You'll set technical direction for your area, grow the engineers around you, and partner with the Head of Engineering, Product Managers, and QA to turn business goals into shipped software. We care far more about your judgment, breadth, and track record of delivery than about any specific language or framework. This is a technical leadership track with up to 2 direct reports (optional). Key Responsibilities Technical Delivery - Design, build, and ship full-stack features end to end (data model, API, and interface) owning them from architecture through production support. - Set and enforce technical standards for your area: architecture patterns, API design, testing strategy, and documentation. - Lead design discussions and make pragmatic trade-off calls across performance, security, cost, and delivery timelines. - Identify and pay down technical debt, and drive improvements to reliability, observability, and developer experience. Technical Leadership & Mentoring - Mentor mid-level and junior engineers through pairing, code review, and structured feedback, and support their growth plans. - Break large initiatives into well-scoped work, sequence delivery, and keep the squad unblocked. - Run architecture and code reviews that raise quality without slowing the team down. - Help interview and onboard new engineers, and contribute to hiring bar and onboarding materials. - Own the delivery and health of your squad's work: surface risk early, keep quality high, and hold the team to a shared standard. Cross-Functional Partnership - Work with the Head of Engineering to align technical roadmap with company strategy. - Partner with Product Managers to shape requirements, surface constraints early, and propose alternatives. - Coordinate with QA on test coverage, release readiness, and incident follow-up. - Communicate technical decisions and risks clearly to non-technical stakeholders. Qualifications - 6+ years of professional software development experience shipping and operating production web applications. - Depth in at least one modern server-side language and framework and one front-end framework — PHP/Laravel, Python, Node/TypeScript, Ruby, Go, or similar. The specific stack is not a requirement. - Demonstrated ability to move into unfamiliar languages, frameworks, and problem domains quickly and ship in them. - Demonstrated experience leading projects and mentoring engineers as a technical lead, staff engineer, or equivalent. - Strong grasp of API design, scalable application architecture, and the common patterns behind them. - Advanced relational database skills, including schema design, query optimization, and caching strategy. - Experience with authentication and authorization across multiple systems and environments. - Track record of integrating multiple data sources and third-party APIs into coherent systems. - Excellent communication skills and the credibility to influence technical direction without formal authority. Nice to Have - Experience with AWS or another cloud platform, including CI/CD pipelines. - A strong automated testing practice, in whatever stack you've worked in. - Exposure to PHP/Laravel or Vue.js — our current stack. Helpful context, not a requirement. - Background in fintech, financial services, or another regulated environment. - Experience building AI or LLM-powered features into a production application. - Prior experience growing a team or defining engineering process. What We Offer - Competitive salary + equity. - Healthcare coverage. - 401k

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

Engineering

9 days ago

Full Stack Engineer (Laravel)

PactFi · New York, New York, United States

Pay

$185k–200k

Setting

Hybrid

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

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