Вакансии

Задачи: — развитие и поддержка современной DevOps-инфраструктуры. Требования: — опыт работы от 3 лет; — опыт с Docker и Kubernetes; — опыт с CI/CD (GitHub Actions или аналогичные инструменты); — опыт с Terraform и/или Ansible; — опыт с Prometheus, Grafana, ELK Stack; — опыт работы с облачной инфраструктурой.

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 5+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $190,000 - $280,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 10+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 10+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building the AI platform trusted by the world’s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload. We’re looking for a Production Engineer to help build and operate Harvey’s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You’ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale. In this role, you’ll improve the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform. You’ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You’ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. At Harvey, we value Decisiveness, Simplicity, and the belief that Job’s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence. WHAT YOU'LL DO INFRASTRUCTURE ENGINEERING & TECHNICAL LEADERSHIP - Design, build, and operate the production infrastructure that powers Harvey’s products and AI workloads. - Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations. - Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost. - Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions. - Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely. - Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship. INFRASTRUCTURE FOUNDATION & PRODUCTION OPERATIONS - Build and operate Harvey’s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance. - Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads. - Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth. - Operate and continuously improve Harvey’s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation. - Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring. - Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls. - Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi. - Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform. - Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements. WHAT YOU HAVE - 5+ years of software, infrastructure, site reliability, or production engineering experience. - Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform. - Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability. - Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics. - Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi. - Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations. - Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response. - Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices. - A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority. - Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders. - A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms. NICE TO HAVE - Experience supporting AI/ML or LLM infrastructure at scale. - Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning. - Experience with multi-cloud infrastructure or hybrid cloud environments. - Experience building internal platforms or developer tooling that improves engineering velocity and production safety. COMPENSATION $190,000 - $280,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Engineering owns cost visibility and optimization across Affirm's cloud and AI infrastructure. We're the team that tells the business what it's spending, why it's changing, and what to do about it — from AWS resource waste and tagging strategy to the newer frontier of AI/LLM spend across the company's growing set of AI tools. We treat cost anomalies with the same rigor as production incidents: we've built a severity framework (mirroring Affirm's SEV0–3 incident model but mapped to dollar impact) with defined detection sources, TTD/TTR metrics, and escalation paths, and we operate a clear RACI with partner orgs — we own visibility and alerting, and partner teams own remediation (at times we may dig in deep and own remediation too!), so accountability never gets diffuse. As a Staff Cost Engineer, you'll operate at the intersection of finance, infrastructure, and data engineering — designing the tooling, automation, and processes that scale cost governance across a fast-growing multi-cloud and multi-AI-vendor footprint. You'll set technical direction for the team, influence cost strategy with infra and platform leaders across the org, and turn ambiguous "why did spend spike" questions into durable systems and self-service tooling. We're a small, high-leverage team — you'll have outsized influence on how Affirm thinks about cost. What You'll Do · You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. · You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed. · You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. · You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. · Experience with a FinOps or cost-visibility platform (e.g., FinOut, CloudHealth, Kubecost, or an internal equivalent) — building dashboards, anomaly detection, or savings/waste reporting rather than just consuming them. · Track record of building automation or tooling (Python, Terraform, or similar) that turns a manual cost-review process into a scalable, self-service system — not just one-off analysis. · Hands-on experience with cloud billing/cost data at scale (AWS Cost & Usage Reports, Snowflake or similar warehouses) — comfortable writing complex SQL to model spend, allocate cost, and build unit-economics views from raw billing data. · You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others. · You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work. · Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: CAD $ 181,000 - $ 241,000. Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. This posting is for an existing vacancy. #LI Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United Kingdom; Denmark Workplace: Remote The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. The Protocols team delivers high-quality, low-latency blockchain datasets that serve as the trusted foundation for Chainalysis’ investigation, compliance, data and security products. We currently support more than 30 blockchains, translating on-chain data into actionable intelligence. In this role, you’ll: - Architect and evolve scalable, reliable, and performant systems for ingesting and parsing complex blockchain data. - Leverage AI-native engineering workflows (LLMs, automated agents) to increase team velocity and code quality. - Provide blockchain protocol expertise (EVM, UTXO, etc.) to the team and cross-functional stakeholders. - Manage the full software development lifecycle, including production monitoring, debugging, and maintaining reliability of our pipelines and services. - Work closely with Product Managers to ensure our datasets meet the evolving needs of the crypto ecosystem. - Guide junior and mid-level engineers through code reviews, design docs, and technical mentorship. We’re looking for candidates who have: - Extensive experience building distributed systems or data-intensive applications. - Experience working with TypeScript either in a professional or personal capacity - A bias to ship and the ability to iterate quickly in a fast-moving environment. - Demonstrated ability to leverage AI assisted development tools to increase velocity while maintaining reliable, maintainable code. - A deep understanding and experience of at least one Blockchain protocol You might also have: - Knowledge and experience with non-EVM chains such as Solana, TON, and Sui. - Experience with indexing and ETL at scale (Spark/Databricks). - Knowledge of Infrastructure as Code (Terraform) and managing services in Kubernetes. - Contributions to open-source blockchain projects. Technologies we use: - Languages: Java, TypeScript - Data Processing: Spark, Databricks, PostgreSQL - Infrastructure: AWS (Serverless & EKS), Kubernetes, Terraform - CI/CD: GitHub Actions AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

RELOCATION TO SPAIN Location: Hybrid in Barcelona, Spain. Relocation support is provided for the employee and their family. Company Manychat is a leading Chat Marketing platform used by over 1.5 million customers worldwide to automate conversations on Instagram, Messenger, WhatsApp, and TikTok. What you will do — Maintain and harden AWS infrastructure, including EC2, ALB/NLB, WAF, IAM, and CloudWatch. — Operate EKS clusters powering Python-based AI services and migrate existing services using Terraform and Helm. — Codify infrastructure with Terraform and manage host-level automation via Ansible. — Build and optimize CI/CD pipelines using GitHub Actions. — Own observability efforts with Prometheus and Grafana, including alerting and on-call readiness. — Partner with engineers to drive platform reliability and create maintainable infrastructure documentation. Requirements — 5+ years of experience managing Linux (Ubuntu, Amazon Linux) in production. — Strong experience with Kubernetes (ideally EKS), Helm, and Terraform. — Comfort running and debugging Python workloads in containers. — Solid understanding of networking, IAM, and cloud security best practices. — Hands-on experience with Nginx Ingress and reverse proxy setups. — Must be based in or be able to relocate to Barcelona, Spain. Nice to have — Advanced Ansible skills beyond the basics. — PostgreSQL or Amazon RDS tuning and operations experience. — Deep understanding of observability tools like Loki. — Familiarity with PHP production environments. — Experience with TDD, CI/CD best practices, and agile development. Culture & Benefits — Relocation support for you and your family. — Comprehensive health insurance for you and your family. — Professional development budget for courses, certifications, and conferences. — Hybrid work model and flexible benefits package. — In-office perks including free meals and snacks. — Company-funded sports activities, annual offsites, and team-building events.

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role Tailscale is seeking an experienced Commercial Solutions Engineer to partner with Sales in driving new business for Commercial customers. You will co-own a book of business with Account Executives, lead technical discovery and architecture design, and act as a trusted advisor to customers. This role blends deep networking and security expertise with strong sales acumen to win competitive deals, scale enablement, and influence product direction. Key Responsibilities Partner with AEs to identify, qualify, and close new Commercial customer opportunities. Lead technical discovery, solution architecture, demos, and POCs to accelerate decision-making. Guide complex multi-stakeholder deals, aligning technical and business objectives. Provide structured feedback to shape product roadmap and GTM strategy. Build scalable enablement resources, demo environments, and solution blueprints for the SE team. What We Are Looking For 4/5+ years in a customer-facing SE/SA role within networking or security software Proven experience co-owning pipeline and influencing quota outcomes with Sales Strong networking fundamentals (TCP/IP, DNS, routing, firewalls) and troubleshooting skills Deep understanding of zero-trust networking, secure connectivity, and IAM integrations (SSO, SAML, OIDC) Understanding of AI gateway and governance platforms for centralized LLM access, usage visibility, and audit Familiarity with privileged access management (PAM) including session recording, just-in-time access, and protocol-aware controls (e.g., Border0, CyberArk, Teleport) Experience with infrastructure as code tools such as Terraform, Pulumi, Ansible, or CloudFormation Hands-on architecture experience with AWS, GCP, and/or Azure Excellent communication skills, capable of translating technical features into business value Experience thriving in high-growth or startup environments As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. US Pay Range (OTE) $150,000 — $200,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role Tailscale is seeking an experienced Commercial Solutions Engineer to partner with Sales in driving new business for Commercial customers. You will co-own a book of business with Account Executives, lead technical discovery and architecture design, and act as a trusted advisor to customers. This role blends deep networking and security expertise with strong sales acumen to win competitive deals, scale enablement, and influence product direction. Key Responsibilities Partner with AEs to identify, qualify, and close new Commercial customer opportunities. Lead technical discovery, solution architecture, demos, and POCs to accelerate decision-making. Guide complex multi-stakeholder deals, aligning technical and business objectives. Provide structured feedback to shape product roadmap and GTM strategy. Build scalable enablement resources, demo environments, and solution blueprints for the SE team. What We Are Looking For 4/5+ years in a customer-facing SE/SA role within networking or security software Proven experience co-owning pipeline and influencing quota outcomes with Sales Strong networking fundamentals (TCP/IP, DNS, routing, firewalls) and troubleshooting skills Deep understanding of zero-trust networking, secure connectivity, and IAM integrations (SSO, SAML, OIDC) Understanding of AI gateway and governance platforms for centralized LLM access, usage visibility, and audit Familiarity with privileged access management (PAM) including session recording, just-in-time access, and protocol-aware controls (e.g., Border0, CyberArk, Teleport) Experience with infrastructure as code tools such as Terraform, Pulumi, Ansible, or CloudFormation Hands-on architecture experience with AWS, GCP, and/or Azure Excellent communication skills, capable of translating technical features into business value Experience thriving in high-growth or startup environments As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. CAN Pay Range (OTE) $201,000 — $268,000 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX New York, NY Washington DC San Francisco Bay Area About the role: Cloudflare provides consultative and hands-on-keyboard implementation and migration services for enterprise customers. As a Senior Zero Trust Consultant within Professional Services, you are a senior individual contributor in the post-sales landscape, responsible for the technical execution of our most complex Zero Trust / SASE solutions and for guiding our customers to get the most value possible from their Cloudflare investment. You are a technical leader in the room — trusted to own the hardest engagements end to end, unblock escalations, and set the standard for how the practice delivers. You are a security and networking specialist with deep, hands-on experience across ZTNA, Secure Web Gateway, DNS filtering, Data Loss Prevention, CASB, Remote Browser Isolation, Cloud Email Security, and the identity and network on-ramps that tie a SASE architecture together. You are equally comfortable designing an architecture, configuring it hands-on-keyboard (including as code), troubleshooting a packet capture, and explaining the outcome to a customer's security leadership. This position has working hours Monday to Friday, 09:00–18:00. Occasionally we support customers over weekends for specific changes that must be done outside their business hours. Less than 15% of travel is expected. Work is performed in English; fluency in Spanish or Portuguese is a strong advantage. Responsibilities: Plan and deliver timely and organized services for customers, ensure customers see the full value in Cloudflare’s products and advice on product best practices. Gather business and technical requirements, use cases and any other information required to build, migrate and deliver a solution on behalf of the customer and transition the Cloudflare working environment to the customer. Produce a Solution Design, HLD, LLD, databuilds, procedures, scripts, test plans, drawings, deployment plan, migration plan, as-builts, and any other artifacts necessary to deliver the solution and transition smoothly into the customer’s technical teams. Implement changes on behalf of the customer in the Cloudflare environment following the customer's change-management process. Provide guidance to the customer to configure their CPEs and integration points (identity providers, endpoints/MDM, DNS, network on-ramps, SIEM). Troubleshoot implementation issues and collaborate with Customer Support, Engineering, and other teams to drive technical escalations to resolution. Contribute to the success of the organization through knowledge-sharing — internal and external documentation, technical Q&A, and iterating on best practices. Build operational assets such as templates, automation scripts, procedures, and workflows. Lead multi-workstream engagements and act as the senior technical owner for complex deployments; support pre-sales scoping and solution design; and mentor junior consultants, helping scale the practice through reusable intellectual property. Experience might include a combination of the skills below: 3+ years in a customer-facing technical implementation or onboarding team, security engineering team, security operations center, or other highly technical team, including 3+ years focused on Zero Trust / SASE. Strong command of the OSI model and core protocols: TCP/IP, TLS (including TLSv1.3 and mTLS), DNS, HTTP/2. Deep understanding of Zero Trust technologies: Zero Trust Network Access (ZTNA), Secure Web Gateway (SWG), Remote Browser Isolation (RBI), Data Loss Prevention (DLP), CASB, and Cloud Email Security. Deep understanding of internet and security technologies: forward and reverse proxies with content filtering & DLP, sandboxing, firewalls/NGFW, WAF, bot management, rate limiting, and SSL/IPsec & SSL/TLS VPN appliances and services. Modern identity: SSO via SAML and OIDC, SCIM user/group provisioning and deprovisioning, LDAP/Active Directory, MFA/FIDO2, and the role of the IdP — with hands-on experience on Microsoft Entra ID, Okta, or Ping. DNS in depth: DNS filtering, DoH/DoT, conditional forwarding / split-DNS, internal-zone resolution, and local domain fallback. Endpoints: software distribution and deployment across Windows, macOS, and Linux; Windows and Linux server administration; and client-endpoint troubleshooting across all three platforms. Networking troubleshooting: debugging network connectivity with standard tools (packet capture, DNS/HTTP tracing). Ability to manage a project, work to deadlines, and prioritize between competing demands. Work performed in English; fluency in Spanish or Portuguese is a strong advantage. Demonstrated technical experience (hands-on-keyboard) with: At the senior level we expect these to be hands-on-keyboard — configured, deployed, migrated, or troubleshot in production — not just understood conceptually. Experience working with Reverse & Forward proxies with Content Filtering & DLP technologies Software distribution & deployment in Microsoft, Mac and Linux environments Detailed working knowledge of web based security, network segmentation, security proxies,  Firewalls and NGFWs, SSL/IPSec and SSL/TLS VPN appliances & services, etc Integrating identity providers with enterprise applications end to end — SSO (SAML/OIDC) and SCIM provisioning, group/attribute mapping, and troubleshooting the IdP handshake. Windows & Linux Server system administration Windows, MacOS and Linux client endpoints troubleshooting Experience debugging Network connectivity issues using Network Troubleshooting Tools Preferred but not mandatory: Automation / Infrastructure-as-Code: Terraform (ideally the Cloudflare provider), REST APIs, Python/Bash scripting, Git, CI/CD, and policy-as-code. Cloud platforms: AWS / Azure / GCP networking — VPC/VNet, Security Groups / NSG / NACL, cloud-native DNS resolvers (Route 53 Inbound Endpoints, Azure Private DNS), cloud IAM, and deploying connectors in IaaS. SASE on-ramp networking: IPsec/GRE tunnel configuration, BGP, Anycast, network segmentation for Zero Trust, and SD-WAN / MPLS / WAN-optimization background. MDM software distribution (Intune, Jamf). Identity & directory tooling: Microsoft Active Directory, GPO, Entra ID, and Intune. Observability: log export (Logpush) and SIEM integration (Splunk, Microsoft Sentinel, Elastic, Chronicle); Digital Experience Monitoring (DEX). Frameworks & compliance: NIST Zero Trust Architecture; GDPR, DORA, NIS2, ISO 27001, PCI DSS, HIPAA, SOC 2 (FedRAMP if US-government work applies). Certifications: CISSP, CCSP, SC-300, AZ-500, AWS Security Specialty, CCNP/CCIE, CompTIA, or equivalent are a strong plus. Forensic certifications (GCFA, GCFE, GCIA, GCIH) are welcome but not central to this role. Emerging: familiarity with AI security / shadow-AI governance — AI-tool discovery and gating, and AI Gateway concepts. Application Deadline: January 26, 2027 Compensation Compensation may be adjusted depending on work location. For SF, SJ, and Bay Area Metro based hires: Estimated annual salary of $163,000 - $224,000 . For California - Remote, DC Metro, New York City, NY Metro: Estimated annual salary of $156,000 - $215,000 . For Colorado: Estimated annual salary of $142,000 - $195,000 . Estimated variable compensation target of $14,200 - $19,500 . This role is also eligible to earn variable compensation in accordance with Cloudflare's Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role The Product Platform Tools team builds and operates Cloudflare's internal support and admin platform, which customer-facing and operational teams across the company use to do their jobs. It includes the API gateway and authorization layer that control access to those teams' internal applications. We're hiring a hands-on backend engineer to build and evolve the services, APIs, and gateway for the platform. You'll set a high standard for how applications onboard onto the platform, taking an API-driven approach to contracts, access, and integration. You'll work with the engineering teams who onboard their apps and with the non-engineering teams who use the platform daily. You'll need curiosity about how Cloudflare works under the hood, a security-first mindset, and the communication skills to turn operational needs into reliable platform capabilities. Responsibilities API and gateway development: design and build the backend services, APIs, and gateway capabilities (routing, authentication, request handling, upstream integration) at the core of the internal admin platform. API-driven onboarding: set and raise the standard for onboarding applications onto the platform. Use clear API contracts, well-governed access, and a repeatable integration path so teams can onboard quickly and consistently. Stakeholder partnership: work directly with Support, Legal, and Security to turn operational needs into maintainable platform features. Security and authorization: own the platform's authorization model. Work with Security and Legal to implement and enforce access control, governance, and compliance requirements in code. Reliability of what you build: build observability and resilience into your services, take part in on-call for them, respond to incidents, and lead post-incident reviews. Engineering excellence: ramp quickly into unfamiliar and legacy codebases and make incremental improvements that reduce toil. Keep a high bar through code review and design docs. AI-assisted engineering: use AI coding tools as a normal part of how you design, build, and debug. Review their output with the same rigor you'd apply to any other code. Desirable Skills, Knowledge, and Experience These are examples of what a strong candidate brings: Must-Have Skills Professional experience: 5+ years building and operating production backend services at scale. Languages: strong proficiency in Go and/or TypeScript. API gateway and API design: hands-on experience building or operating an API gateway or similar edge/proxy layer, and designing REST APIs. This covers routing, request lifecycle, authentication, and versioning. Authentication and authorization: strong understanding of OAuth 2.0, OIDC, JWT, RBAC, and policy-based access (such as OPA/Rego), with a security-first approach to design. Data: hands-on experience with PostgreSQL and Redis, including schema design, query optimization, and caching strategies. Cross-team collaboration: comfortable working with engineering, Security, Legal, and non-technical stakeholders, and explaining technical detail to each. Ownership and autonomy: confident in legacy code, self-directed, and able to drive ambiguous problems to resolution across team boundaries. Nice-to-Have Skills Experience building internal tooling, admin consoles, or case-management systems for non-engineering users. Exposure to security governance or compliance workflows, or working closely with a dedicated Security or Legal team on access control. Familiarity with Cloudflare's platform (Workers, Access, Zero Trust, Gateway). Experience running containerized services (Docker, Kubernetes), infrastructure as code (Terraform), and CI/CD with GitLab. Observability experience: distributed tracing, structured logging, and dashboards (Grafana, Kibana, Jaeger). What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote - Argentina; Brazil;Chile; Costa Rica Why You'll Love This Role: In this role, you will have the opportunity to directly shape our data ecosystem by building robust pipelines and applying modern software engineering principles like version control and automated testing. You’ll work closely with key stakeholders to drive data-driven decision-making, lead high-impact initiatives, and manage large-scale infrastructure and automation. You will lead and mentor junior engineers and set the technical direction for the analytical team. If you thrive on transforming complex data into reliable, actionable insights while building scalable analytics systems, this position offers the ideal platform to showcase and expand your expertise. What You'll Be Doing: Set the technical direction for the analytics team (architecture, conventions, approach). Raise the technical floor through code review, design reviews, and pairing, holding a consistent bar for what ships. Own the architecture of our data models, with accountability for long-term maintainability rather than just the models you write yourself. Own the semantic layer, metric definitions, and governed self-service, so stakeholders can answer their own questions correctly. Act as the primary technical partner to Product, Finance, Marketing, and Engineering, translating what they need into a roadmap the team can execute. Negotiate scope directly with stakeholders. Drive a cadence of proactive analysis so the team surfaces questions the business hasn't asked, rather than waiting for tickets. Define the team's data testing strategy and govern how business logic is validated across the analytics layer. Own the operational health of the analytics layer (monitoring, alerting, incident response, and release readiness for what the team ships). Mentor the engineers around you and build shared understanding through documentation and technical presentations. Lead large-scale migrations and performance efforts, setting the approach and enabling the team to execute rather than executing alone. About You: 8+ Years experience working with data in a software environment. Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices. You have a track record of working autonomously and proactively, with deep domain knowledge of data analysis and data systems. Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau. Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores. Why you’ll love working at Newsela: Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers. All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process. About Newsela: Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner. #LI-Remote

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Release Engineer (SRE) to join our Release Engineering team (part of EngOps) — a production-operations expert who brings an SRE mindset to how Supabase ships and runs, making deploys safe, observable, and recoverable at scale. Release Engineering's scope has grown well beyond build-and-ship: we increasingly own the operational reliability of the systems that deploy and run Supabase. In this role you'll treat our deployment pipelines, pre-production signal, and the control plane itself as production systems — with SLOs, error budgets, and on-call ownership — and you'll be the person teams lean on when reliability is on the line. This is not a "gatekeeper" role. You'll make the reliable path the easy path: standardising how we deploy, instrumenting what we ship, and ensuring that when something breaks, we detect it quickly and recover quickly. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Own the reliability of Supabase's deployment and release systems, and the control plane they run on, against clear SLOs and error budgets - Turn pre-production into a trustworthy signal — standardizing and instrumenting today's fragmented, ad-hoc deployment workflows - Drive disaster-recovery readiness, including making environments reproducibly deployable from scratch (untangling undocumented secrets, unclear configuration ownership, and circular service dependencies) - Build and operate health and SLO monitoring for critical user flows, using synthetic testing to catch regressions before customers do - Reduce mean-time-to-detect and mean-time-to-recover for deploy-related incidents — which account for a large share of our incident load - Participate in on-call, lead blameless postmortems, and turn findings into runbooks, alerting, and automation that remove toil - Improve deployment observability and auditability — a clear record of what shipped where, when, and by whom - Document operational procedures — break-glass paths, access models, and runbooks — so reliability knowledge isn't tribal RELIABILITY & OPERATIONS - Define and track SLAs, SLOs, error budgets, and DORA delivery metrics — with meaningful alerting over noise - Ensure deployments fail fast and safely when health checks degrade - Harden access and break-glass workflows (e.g. scoped self-service) so the right people can act in an incident without unsafe workarounds - Partner with product engineering and platform teams to align release practices with reliability and availability targets YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years in SRE, production operations, platform engineering, or release engineering - Have operated production systems at scale and carried on-call for them - Are fluent in SLAs, SLOs, error budgets, DORA metrics, and operational KPIs — and the observability tooling behind them (Prometheus, Grafana, Alertmanager, or similar) - Have led incident response with tooling like incident.io http://incident.io (or PagerDuty / Opsgenie), run blameless postmortems, and driven down MTTD/MTTR - Operate confidently on AWS (multiple accounts, IAM, VPC) in production - Are comfortable with infrastructure-as-code (Pulumi, Terraform) and Kubernetes - Script and automate to eliminate toil rather than absorb it - Communicate clearly with both infrastructure specialists and product engineers - Thrive in async, globally distributed teams - Are comfortable navigating ambiguity and iterating toward better systems over time WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York, New York; New York City Metropolitan Area; New Jersey; Connecticut; San Francisco Bay Area, California Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name What You’ll Do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What We Look For: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open-source contributions or public writing on applied AI What We Offer: Full-time employment On-site visits to clients’ facilities and our office in NYC 1/week Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship How We Hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO

Location: New York Workplace: remote About the role: We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name What You’ll Do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What We Look For: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open-source contributions or public writing on applied AI What We Offer: Full-time employment On-site visits to clients’ facilities and our office in NYC 1/week Unlimited Vacation policy Generous health, vision, and dental insurance 401(K) matching plan Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Platform Storage is a core platform engineering team specializing in stateful infrastructure (PostgreSQL/RDS, Kafka (MSK), MongoDB, DynamoDB, and Elasticache/Valkey) for Fanatics Betting & Gaming. We own database and streaming reliability for dozens of product engineering teams, acting as both platform builders and embedded technical partners. Our core toolset is Python, Terraform, and SQL, with a focus on self-service tooling, GitOps managed infrastructure, and hands-on ownership of production systems. About the Role Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Storage Engineer to join our Platform Storage team, based in the United States. This role owns a critical slice of our core platform infrastructure,  including a portfolio of production PostgreSQL databases and our Kafka/MSK streaming platform,  and acts as the embedded platform liaison for the product teams built on top of them. As a Staff Engineer, you will operate with a high degree of autonomy, leading complex database and streaming infrastructure initiatives, setting standards for reliability and performance, and acting as the go to technical resource for schema design, query performance, and incident response across the teams you support. Responsibilities Own database liaison responsibility for a portfolio of production PostgreSQL/RDS instances — query review, schema change approval, performance tuning, and incident triage for the teams built on top of them. Operate and evolve our Kafka/MSK streaming platform: topic lifecycle management via GitOps, cluster health across environments, and CDC (Debezium) pipeline reliability. Build and maintain self-service tooling that lets product teams provision database and streaming resources without a manual ticket queue. Drive platform stability projects — operator/version upgrades, root-cause fixes for recurring operational issues, and proactive capacity/cost optimization across the database and streaming fleet. Act as the technical escalation point for cross-team incidents where the root cause traces back to shared platform infrastructure (replication lag, connection exhaustion, CPU/throughput issues). Represent Platform Storage in cross-org infrastructure initiatives and standardization efforts. Mentor engineers and participate in on-call rotations. What You Bring Strong, hands-on Python — a primary tool of the role, not incidental. 5+ years using Python day-to-day is a strong signal. 8+ years of experience in platform, infrastructure, or database engineering, with deep hands-on experience operating and running PostgreSQL (RDS) in production at scale — this is an infrastructure-ownership role, not an application-development role that happens to use Postgres. Strong experience operating Kafka (MSK or self-managed) in production, including topic management and CDC/event-streaming pipelines. Strong SQL fluency — comfortable diagnosing query performance issues and reviewing schema changes for teams you don't sit inside of. Working knowledge of Infrastructure as Code (Terraform). Experience owning production database reliability across multiple downstream teams simultaneously — able to prioritize across a portfolio, not just one system. Strong cross-team communicator; this role is equal parts infrastructure engineering and technical partnership with the teams you support. Nice to Have Experience with GitOps-managed Kubernetes operators (Strimzi or equivalent) for stream infrastructure. MongoDB or DynamoDB operational experience. Experience with pgbouncer, connection pooling, and query-level performance diagnostics. Prior work on platform cost optimization initiatives at multi-cluster scale. Exposure to regulated or high-availability environments (gaming, fintech, or similar). Who Thrives Here Operates with a high degree of autonomy and ownership, leading complex initiatives with limited direction. Comfortable influencing without authority and driving technical clarity in ambiguous problem spaces. Communicates effectively across regions and time zones (US, UK, Ireland). Cares about platform reliability, developer experience, and long-term system health. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $172,800 — $216,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Los Angeles, USA; Mercer Island, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As an Engineering Manager, you’ll guide an engineering team through all the phases of the software development and operations lifecycle. You’ll also serve as a people manager, mentor, and coach for the engineers, overseeing performance management, growth opportunities, and accountability. The Core Game Loop owns services that power the player experience while they are in game and deliver data to downstream services after a game is completed. This includes game provisioning, game data delivery, and services that power leaderboards and match history. By concentrating expertise in game platforms, we are able to offer robust, scalable features to all current and future Riot games. As a Manager, Software Engineering on the Core Game Loop team,  you will partner with the teams that create every Riot game, central technology teams, and teams in Tencent to ensure we are making excellent decisions, upholding a high quality bar, and operating efficiently in service of those players. You'll identify opportunities to centralize functionality and architect solutions that enable scalability and reliability worldwide. You will report to the Senior Engineering Manager of the Game Foundations org within the Publishing Platform. Responsibilities Manage a team of 5+ software engineers; coaching them, providing performance management, identifying growth opportunities, and ensuring positive results Partner and collaborate with Product Leads, Delivery Leads, and Technical Leads within the team and within Game Foundations org to align on the plan the team executes against Support the technical vision and roadmap by allocating engineers and skill sets to meet goals and deliver results Own the interviewing and onboarding process for new engineering team members Be accountable for the technical health of the products owned by the team Stay hands-on with the team's tech, overseeing the technical design, and deliverables of the team and working with the team's technical leadership Regularly engage with the codebase by participating in code reviews and non-critical tasks Build healthy relationships with other engineering teams across Riot globally, in order to foster cross-team collaboration Own and operate live services, meeting reliability expectations, handling emergent issues, and supporting engineers during on-call troubleshooting Required Qualifications Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience 5+ years experience as a Software Engineer, preferably on technical product teams that build tooling for services and APIs 2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead Experience managing engineers and actively participating in their growth and development Experience recruiting candidates and growing an engineering team Experience with distributed systems, microservices, and software at a high scale Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting Desired Qualifications Experience building services using Java, Kotlin, or Go Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform, Ansible) Experience with CI/CD pipelines (such as GitHub Actions, Jenkins) Experience with relational databases (such as MySQL) and key value stores (such as Redis). Experience with queuing or stream-processing platform (such as Kafka) For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.