Вакансии

проектировать и валидировать архитектурные решения; улучшать производительность как Backend, так и клиентских приложений;

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Responsibilities: — Design, deploy, and operate production AI infrastructure for customer workloads. Requirements: — Experience with machine learning, Kubernetes, Java, Spark, IAM, Infrastructure-as-Code, Go, Terraform, networking, distributed computing, GCP, Python, GitOps, Dask, DevOps, AWS, Helm, CI/CD, and Security. Benefits: — Salary range $250,000 - $275,000.

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Формировать требования информационной безопасности к новым и дорабатываемым информационным системам. Проводить экспертизу разрабатываемых/существующих ИТ-систем на соответствие требованиям информационной безопасности.

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

- Тестировать мобильные приложения Android и iOS в продакшен-окружении: функциональность, интеграции и UI;

Главная задача: создавать архитектуру, которую можно реализовать, проверить, сопровождать и развивать. Не просто выбирать технологии, а принимать обоснованные решения и обеспечивать их реализацию.

Задачи: — Доработка приложения и серверной части проекта "Зеленая кнопка" — платформы для особо охраняемых природных территорий России: национальных парков, заповедников, природных парков. Требования: — Опыт коммерческой разработки не менее 3 лет. — Уровень senior в одном из стеков — TypeScript или Flutter — и уверенный уровень во втором. — Практический опыт современной кодогенерации через ИИ-агентов. — Умение настраивать harness (rules, skills, mcp) под конкретную задачу. — Знание TypeScript и Node.js: middleware, аутентификация, обработка ошибок, внешние HTTP-API и их таймауты. — Опыт работы с React: хуки, состояние, формы, таблицы, CRUD-экраны. — Навыки работы с MongoDB: агрегации, индексы, explain. — Опыт с GraphQL: schema-first, кодогенерация, аккуратное изменение схемы, используемой несколькими клиентами. — Знание Flutter и Dart: виджеты, состояние (Riverpod или аналог), навигация, работа с локальной базой, отладка на реальном устройстве. — Владение Git и привычка читать чужой код до изменений. — Готовность работать на сервере: journalctl, логи, ssh, ручной запуск скрипта миграции. — Отсутствие отдельного DevOps-специалиста в команде. — Приветствуется опыт внедрения интернет-карт (OSM). Условия: — Удалённая работа, 20–40 часов в неделю, график обсуждаемый. — Гибкий график с ежедневными созвонами и общей планёркой раз в неделю. — Оплата рабочих подписок.

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Software Engineers, we work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value. As a Staff Software Engineer in Riot Data Foundations , you will have the chance to affect how Riot collects and uses data to improve the experience for players and Rioters. You'll work closely with our product partner and technical lead to expand data consumption and reporting capabilities and build solutions to improve the development lifecycle for data engineers and insight analysts throughout the organization. You'll be helping as Riot enables advancements and fast iteration in machine learning and other technical pipelines. You will bring your experience working with globally distributed systems and work with our team of software engineers to help build efficient solutions. You will report into the Engineering Manager of the team. Responsibilities: Build and enhance systems that allow team members to more effectively engage with the tools in our data ecosystem. Attend stand-ups and team rituals, and work with other software engineers to deliver on team goals Participate in code reviews with other members of the team Be part of an on-call rotation to support our live products Provide meaningful code reviews for other members of the team Work collaboratively with non technical customers to accomplish deliverables Required Qualifications: Bachelor’s degree in Computer Science or comparable field Understanding of core data engineering concepts and data pipelines 7+ years experience in Python, and SQL 5+ years experience working with data warehousing Experience in working in Agile and DevOps environment Desired Qualifications: Experience with ML operations, pipelines, and infrastructure Experience with open source ETL frameworks such as Airflow, Luigi, or similar 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.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is building a Training practice to accelerate customer onboarding and adoption, and help them realize measurable value from Docker’s AI Governance products. As Senior Manager, Training you will own learning journey design, operations and outcomes. This is a founding role. You will start as an individual contributor, personally building the first learning paths and standing up the platform, and you will grow into leading a team as the Training function scales. This is a high-visibility role within our Professional Services organization and works directly with leadership in Professional Services, Technical Account Management and Onboarding Specialists. You’ll define how new customers learn to implement Docker in their first weeks and months, developing user and administrator self-led journeys and instructor-led workshops. You’ll prove Training impact with data tied to onboarding, implementation and adoption milestones, and the value customers realize. You will build on a modern learning stack anchored on Skilljar and Instruqt. You will make AI a core part of how customers are implemented, using agents to produce content, coach learners, and run learning operations. RESPONSIBILITIES - Own the training journey for customer implementation training, focused on admins, IT, security, DevOps teams and non-developer teams adopting Docker Sandboxes and AI governance products. - Own the learning technology stack built on Skilljar and Instruqt, including catalog and learning-path structure and authoring workflows - Build hands-on: author the first implementation paths, labs, and assessments, and configure and administer Skilljar and Instruqt. - Design the training practice to be AI-native using built in features from Skiljar and Instruqt and support from Professional Services engineers: agents draft courses, lab guides, and assessments from product docs, release notes, and engineering changes, and flag stale content, with an SME review gate for technical accuracy before anything is published. - Establish repeatable curriculum standards: implementation path templates, hands-on lab patterns, assessment and badging criteria, content review and refresh cycles and web-based customer journeys. - Partner with technical subject-matter experts within Professional Services to build content, and support them on authoring in Instruqt. - Use AI agents, vendors, contractors, and SMEs as leverage to scale output ahead of headcount. - Define team model: roles, sequencing, and the business case for first hires. - Ensure learner data practices meet Docker’s privacy, security, and vendor review standards, including PII minimization and DPA requirements for training platforms and any AI models that process learner data. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years in technical training, customer education, or enablement leadership at a SaaS/infrastructure company, including 5+ years leading programs or teams, with a record of building a function from the ground up. - Comfortable as a hands-on builder and sole practitioner, with the ability to hire and lead a team as the function grows. - Demonstrated ability to influence senior stakeholders and technical contributors and drive alignment without formal authority. - Hands-on experience with an enterprise LMS (Skilljar preferred) and learner journey design. - Experience building and running customer implementation, onboarding, or education programs, including instructional design, hands-on labs, and certification or badging. - Experience with AI/ML and agentic AI concepts, and the ability to build training for AI workloads in enterprise environments. - Proven record of measuring training impact, using implementation completion, adoption, and business metrics, including retention, expansion, and revenue contribution, to show ROI to executives. PREFERRED - Hands-on experience applying AI and LLM tools to content production, learner support, or learning operations, with clear human review and quality controls. - Experience building agent-based or MCP-integrated learning and documentation experiences, including AI lab coaching and automated assessment. - Experience managing vendors and platform engagements, including professional services partners and internal engineering dependencies. BONUS - Strong technical credibility in containerization, container and software supply chain security, and enterprise IT and identity environments, with the ability to evaluate content quality alongside engineers. - Experience linking customer education to implementation completion, retention, and time-to-value metrics in a customer success or CRM platform. - Experience unifying documentation and learning platforms into a single SSO-authenticated learner experience. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker’s mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, customers, and the current customer implementation journey, including provisioning, implementation engagements, and handoffs. - Build strong partnerships with Professional Services leaders, along with Skilljar, Instruqt, and vendor professional services contacts. - Plug into the team’s rhythm of business (standups, reviews, shadow customer implementation engagements). FIRST 90 DAYS You will be supported in the first 90 days by Professional Services SMEs, vendor professional services teams, and contractors. - Define the customer implementation training strategy, charter, and operating model, including audiences, intake and prioritization, and success metrics. - Launch a baseline analytics view of implementation milestone completion, badging, and adoption for executive reporting. - Ship the first priority implementation paths with hands-on labs, and establish a badging framework. - Pilot an AI-assisted content workflow with an SME review gate, and define the AI governance model for learner data and generated content. ONE-YEAR OUTLOOK - A proven, data-backed Training practice with first hire(s) in place or approved and a defined team roadmap. - AI agents handle the majority of content drafting, refresh detection, and reporting, so a lean practice can scale ahead of headcount, with an AI lab coach and personalized implementation paths live for customers. - Measurable improvement in implementation completion, on-time provisioning, and time-to-value, with training demonstrably linked to adoption, retention, expansion, and revenue contribution. - New product capabilities launch with implementation training and labs ready on day one, and continuous improvement is institutionalized through learner analytics and customer feedback. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$179,149 - CA$255,927 base United States: $131,495 - $187,850 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Romania Full Stack Developer (JavaScript) Are you an experienced Full-Stack JavaScript Developer who enjoys crafting clean, efficient, and scalable code? Excited by the opportunity to make a meaningful impact in the fast-evolving software escrow industry? Codekeeper is looking for a talented Full-Stack Engineer with deep JavaScript expertise to join our growing team. If you are passionate about building high-quality solutions and want to help shape the future of software escrow, we’d love to hear from you. Apply now and be part of something impactful. About the Company Codekeeper was founded by tech industry professionals to revolutionize software escrow for the cloud era. We offer state-of-the-art disaster recovery solutions that mitigate third-party risks in business operations. As a remote-first company with a central office in The Hague, we prioritize a healthy, resilient organization to support the development of our robust app. What Else Can You Expect from Us? A dynamic, enthusiastic, and fun team Opportunities for growth within a startup environment Regular team activities and get-togethers A comprehensive onboarding process with a dedicated ramp-up period and time to learn A culture that values open communication, feedback, and collaboration We believe in nurturing our app, teams, and organization with a focus on long-term success. We're dedicated to building a healthy, resilient company that empowers every team, from design to support and operations. About You You're a driven, "getting things done" kind of person who's eager to tackle new challenges and make a meaningful impact in the software escrow industry. Skills & Experience Degree in Computer Science 5+ years of hands-on experience in JavaScript, TypeScript, HTML5, CSS3, React/Context API 3+ years of experience with Next.js (App Router), GraphQL/Apollo Proficiency with TailwindCSS Proficiency in version control (Git, GitHub/GitLab) Testing experience with Playwright, Cypress, or Jest + React Testing Library Experience with relational databases like PostgreSQL and MySQL, as well as ORMs such as Prisma or Drizzle Familiarity with authentication solutions (Cognito, Auth0, NextAuth.js) Excellent communication skills, a team player, and service-oriented mindset A strong passion for software development Nice to Have Knowledge of serverless functions & edge computing (Vercel, AWS Lambda) Understanding of CI/CD pipelines and DevOps (GitHub Actions, Vercel, Netlify) Experience with data visualization frameworks (e.g., Chart.js, Google Charts) Familiarity with AWS technologies Additional Info Job Location: Remote (#LI-Remote) Join us to shape the future of software escrow! How to Apply To apply, use the Apply button on this listing. In your application, tell us how you would like to fill this position. There are no right answers or expectations. Show us your role in our company’s future and our role in yours, address some of the work we do, and introduce yourself as a colleague. Please note: Applications and follow-ups sent through any other channel, such as our customer website chat, support email or direct messages to team members, won’t be considered. Need an accessibility adjustment to apply? Visit Our Careers Page for how to reach us.

Location: Poland QA & Verifications Engineer Are you a skilled QA & Verifications Engineer seeking a challenging and rewarding opportunity? Do you combine strong technical expertise with a sharp eye for detail and a passion for delivering high-quality software? If so, Codekeeper would love to hear from you. We are looking for a problem-solver who enjoys working in a dynamic environment and takes pride in ensuring reliability, accuracy, and performance. In this role, you’ll collaborate closely with cross-functional teams, contribute creative solutions, and uphold the highest standards of quality across our systems and processes. If you’re analytical, collaborative, and committed to excellence, this is your opportunity to make a meaningful impact. We’re accepting applications over the next two months and will close the position as soon as we find the right match - so we encourage early applications. About the Role The primary focus of this role is to ensure the integrity and reliability of our customers' software through verification processes. This role involves analyzing technical documentation, executing successful software builds in various programming languages, and validating software functionality against specified requirements. Additionally, you will be involved in conducting thorough testing of various scenarios, employing both manual and automated testing approaches. Your meticulous attention to detail will enable you to identify and report any bugs or glitches discovered during testing. What You’ll Be Doing Software Verification Conduct verification of customer software using provided technical documentation Achieve software builds across various programming languages Identify, diagnose, and resolve build issues, ensuring software meets quality standards Quality Assurance & Testing Conduct end-to-end testing of application features across multiple scenarios Use both manual and automated testing methods to validate functionality Identify, document, and report bugs or inconsistencies to ensure a high-quality user experience Technical Analysis and Problem Solving Analyze software requirements and technical documentation to understand build processes and dependencies Collaboration and Communication Communicate effectively with team members and clients to understand requirements and provide updates Continuous Learning and Improvement Stay updated with emerging technologies and programming languages relevant to software verification Contribute to the continuous improvement of verification processes and practices Why Codekeeper? We were founded by tech industry professionals to revolutionize software escrow for the cloud era. We offer state-of-the-art software escrow solutions that mitigate third-party risks in business operations. As a remote-first company with a central office in The Hague, we prioritize a healthy, resilient organization to support the development of our robust app. What You Can Expect Passionate and fun-loving colleagues Startup mindset with ample opportunities for growth Regular team activities and gatherings Comprehensive onboarding process with a dedicated ramp-up period A supportive team that values open communication and direct feedback A chance to excel in your career and make a difference About You 3+ years development / DevOps experience (beneficial) 2+ years of experience with Linux, Windows and Mac environment fundamentals Basic understanding of popular backend languages (Python, Java, NodeJS and PHP) Prior experience or understanding of database- and server configuration (MongoDB, SQL, MySQL) Prior experience or understanding of Git Basic knowledge of front-end languages HTML, CSS, and JavaScript beneficial Basic knowledge of AWS technologies beneficial Basic knowledge of API configuration beneficial Experience with various build tools, like (but not specifically) msbuild, webpack, maven, and others of the type beneficial Additional Requirements Technical Expertise: Proficiency in multiple programming languages and software development tools Analytical Skills: Strong ability to analyze technical documentation and identify key requirements Problem-Solving: Excellent problem-solving abilities to diagnose and resolve complex software issues Communication: Effective communication skills, both verbal and written, for collaborating with teams and clients Adaptability: Ability to adapt to various programming environments and quickly learn new technologies Teamwork: Strong team player with the ability to work in cross-functional teams Time Management: Excellent organizational and time-management skills, with the ability to handle multiple tasks simultaneously Additional Info Job Location: Remote (#LI-Remote) Join us to shape the future of software escrow! How To Apply To apply, use the Apply button on this listing. In your application, tell us how you would like to fill this position. There are no right answers or expectations. Show us your role in our company’s future and our role in yours, address some of the work we do, and introduce yourself as a colleague. Please note: Applications and follow-ups sent through any other channel, such as our customer website chat, support email or direct messages to team members, won’t be considered. Need an accessibility adjustment to apply? Visit Our Careers Page for how to reach us.

Location: Romania QA & Verifications Specialist Are you a skilled QA & Verification Specialist ready for a challenging and rewarding next step? Do you combine strong technical expertise with sharp analytical thinking and a genuine passion for delivering high-quality software? If so, Codekeeper invites you to join our team. We are searching for a detail-oriented professional with a passion for problem-solving and a commitment to excellence. In this role, you will help ensure the reliability, accuracy, and performance of our systems while collaborating closely with cross-functional teams. Your work will directly contribute to maintaining the high standards our clients expect. If you thrive in a dynamic environment that values creativity, teamwork, and continuous improvement, this opportunity is for you. We’re accepting applications over the next two months and will close the position as soon as we find the right fit - so we encourage early applications. About the Role The primary focus of this role is to ensure the integrity and reliability of our customers' software through verification processes. This role involves analyzing technical documentation, executing successful software builds in various programming languages, and validating software functionality against specified requirements. Additionally, you will be involved in conducting thorough testing of various scenarios, employing both manual and automated testing approaches. Your meticulous attention to detail will enable you to identify and report any bugs or glitches discovered during testing. What You’ll Be Doing Software Verification Conduct verification of customer software using provided technical documentation Achieve software builds across various programming languages Identify, diagnose, and resolve build issues, ensuring software meets quality standards Quality Assurance & Testing Conduct end-to-end testing of application features across multiple scenarios Use both manual and automated testing methods to validate functionality Identify, document, and report bugs or inconsistencies to ensure a high-quality user experience Technical Analysis and Problem Solving Analyze software requirements and technical documentation to understand build processes and dependencies Collaboration and Communication Communicate effectively with team members and clients to understand requirements and provide updates Continuous Learning and Improvement Stay updated with emerging technologies and programming languages relevant to software verification Contribute to the continuous improvement of verification processes and practices Why Codekeeper? We were founded by tech industry professionals to revolutionize software escrow for the cloud era. We offer state-of-the-art software escrow solutions that mitigate third-party risks in business operations. As a remote-first company with a central office in The Hague, we prioritize a healthy, resilient organization to support the development of our robust app. What You Can Expect Passionate and fun-loving colleagues Startup mindset with ample opportunities for growth Regular team activities and gatherings Comprehensive onboarding process with a dedicated ramp-up period A supportive team that values open communication and direct feedback A chance to excel in your career and make a difference About You 3+ years development / DevOps experience (beneficial) 2+ years of experience with Linux, Windows and Mac environment fundamentals Basic understanding of popular backend languages (Python, Java, NodeJS and PHP) Prior experience or understanding of database- and server configuration (MongoDB, SQL, MySQL) Prior experience or understanding of Git Basic knowledge of front-end languages HTML, CSS, and JavaScript beneficial Basic knowledge of AWS technologies beneficial Basic knowledge of API configuration beneficial Experience with various build tools, like (but not specifically) msbuild, webpack, maven, and others of the type beneficial Additional Requirements Technical Expertise: Proficiency in multiple programming languages and software development tools Analytical Skills: Strong ability to analyze technical documentation and identify key requirements Problem-Solving: Excellent problem-solving abilities to diagnose and resolve complex software issues Communication: Effective communication skills, both verbal and written, for collaborating with teams and clients Adaptability: Ability to adapt to various programming environments and quickly learn new technologies Teamwork: Strong team player with the ability to work in cross-functional teams Time Management: Excellent organizational and time-management skills, with the ability to handle multiple tasks simultaneously Additional Info Job Location: Remote (#LI-Remote) Join us to shape the future of software escrow! How To Apply To apply, use the Apply button on this listing. In your application, tell us how you would like to fill this position. There are no right answers or expectations. Show us your role in our company’s future and our role in yours, address some of the work we do, and introduce yourself as a colleague. Please note: Applications and follow-ups sent through any other channel, such as our customer website chat, support email or direct messages to team members, won’t be considered. Need an accessibility adjustment to apply? Visit Our Careers Page for how to reach us.

Location: Poland Software Verification Specialist Are you a talented Software Verification Specialist looking for a fulfilling new challenge? We want to hear from a technically accomplished professional who brings sharp analytical thinking and a real dedication to producing top-quality software. Step into an energetic role that rewards inventiveness, teamwork, and a drive for excellence. Applications are open for the next two months, and we'll bring the right person on board as soon as we find the perfect match. Role Description The primary focus of this role is to ensure the integrity and reliability of our customers' software through verification processes. This role involves analyzing technical documentation, executing successful software builds in various programming languages, and validating software functionality against specified requirements. Key Responsibilities Software Verification Conduct verification of customer software using provided technical documentation Achieve software builds across various programming languages Identify, diagnose, and resolve build issues, ensuring software meets quality standards Technical Analysis and Problem Solving Analyze software requirements and technical documentation to understand build processes and dependencies Collaboration and Communication Communicate effectively with team members and clients to understand requirements and provide updates Continuous Learning and Improvement Stay updated with emerging technologies and programming languages relevant to software verification Contribute to the continuous improvement of verification processes and practices About the Company We were founded by tech industry professionals to revolutionize software escrow for the cloud era. We offer state-of-the-art software escrow solutions that mitigate third-party risks in business operations. As a remote-first company with a central office in The Hague, we prioritize a healthy, resilient organization to support the development of our robust app. What We Offer Passionate and fun-loving colleagues Startup mindset with ample opportunities for growth Regular team activities and gatherings Comprehensive onboarding process with a dedicated ramp-up period A supportive team that values open communication and direct feedback A chance to excel in your career and make a difference What We Are Looking For 3+ years development / DevOps experience (beneficial) 2+ years of experience with Linux, Windows and Mac environment fundamentals Basic understanding of popular backend languages (Python, Java, NodeJS and PHP) Prior experience or understanding of database- and server configuration (MongoDB, SQL, MySQL) Prior experience or understanding of Git Basic knowledge of front-end languages HTML, CSS, and JavaScript beneficial Basic knowledge of AWS technologies beneficial Basic knowledge of API configuration beneficial Experience with various build tools, like (but not specifically) msbuild, webpack, maven, and others of the type beneficial Additional Requirements Technical Expertise: Proficiency in multiple programming languages and software development tools Analytical Skills: Strong ability to analyze technical documentation and identify key requirements Problem-Solving: Excellent problem-solving abilities to diagnose and resolve complex software issues Communication: Effective communication skills, both verbal and written, for collaborating with teams and clients Adaptability: Ability to adapt to various programming environments and quickly learn new technologies Teamwork: Strong team player with the ability to work in cross-functional teams Time Management: Excellent organizational and time-management skills, with the ability to handle multiple tasks simultaneously Additional Info Job Location: Remote Join us to shape the future of software escrow! How To Apply To apply, use the Apply button on this listing. In your application, tell us how you would like to fill this position. There are no right answers or expectations. Show us your role in our company’s future and our role in yours, address some of the work we do, and introduce yourself as a colleague. Please note: Applications and follow-ups sent through any other channel, such as our customer website chat, support email or direct messages to team members, won’t be considered. Need an accessibility adjustment to apply? Visit Our Careers Page for how to reach us.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking a Security Operations Engineer to own the daily operation and continuous improvement of Alpaca’s SIEM and SOAR capabilities. You will onboard security logs, develop and tune detections, keep alerts actionable, maintain operational dashboards, and automate repeatable response actions. You will be hands-on and operationally minded. You will keep log onboarding, detection quality, and alert handling consistent, and you will turn security signals into action as the business grows. This role reports to the Enterprise Security Architect and works closely with Security, IT, DevOps, and Engineering. The Security Team is 100% distributed and remote. Things You Get To Do: The core responsibilities of the Security Operations Engineer are focused on detection, response automation, operational excellence, and cross-functional coordination. SIEM Operations and Detection Engineering: Log Onboarding: Onboard new security log sources across cloud, identity, endpoint, SaaS, and application systems, including parsing, normalization, and data quality checks. Detection Development: Build, test, and tune detection rules based on threat intelligence, incident learnings, and emerging attack techniques, mapped to frameworks such as MITRE ATT&CK. Alert Quality: Tune, enrich, and manage the lifecycle of detections so alerts stay actionable. Detection Coverage: Maintain detections for critical systems and priority attack techniques. Operational Dashboards: Build and maintain dashboards for alert volume, ingest health, and response status. Incident Response & Metrics: Incident Support: Support security incidents with evidence collection, detection queries, and containment actions, working with IT, Engineering, and external partners. Runbooks: Develop and improve alert-handling and incident response runbooks and escalation paths. Operational Metrics: Track and report security operations metrics, including mean time to detect (MTTD) and mean time to respond (MTTR). On-Call: Participate in the Security Operations on-call rotation after onboarding and cross-training. SOAR and Response Automation: Playbooks: Design, build, and maintain SOAR playbooks that automate repeatable response actions, including enrichment, containment, ticketing, and notification. Triage and Investigation: Triage, investigate, and respond to security alerts across endpoints, identity, cloud, network, and application logs. Threat Hunting: Run hypothesis-driven hunts based on threat intelligence and incident learnings, and turn findings into new detections. Who You Are (Must-Haves): Excited about Alpaca’s mission and what we’re building 3+ years of experience in Security Operations or detection engineering roles Hands-on experience operating and tuning a SIEM Experience building SOAR playbooks or equivalent response automation Working with Linux Scripting or automation experience (Python, Bash) for security operations tasks Experience onboarding and parsing log sources from cloud, identity, and SaaS platforms Strong alert investigation skills across identity, endpoint, network, and cloud environments Understanding of common attacker techniques and detection methodologies Experience supporting security incidents, including evidence collection, detection queries, and containment Willing to participate in an on-call rotation Strong written and verbal communication skills, especially during incidents Comfortable working cross-functionally and handling escalations calmly and decisively Who You Might Be ( Nice-to-Haves): Experience securing financial, trading, or other highly regulated platforms Familiarity with compliance frameworks such as SOC 2 or ISO 27001 Experience with detection-as-code, GitOps, and CI/CD pipelines Knowledge of cloud security logging (AWS/GCP/Azure) and SaaS security telemetry Familiarity with Kubernetes-hosted security tooling Experience working with a managed SOC or MSSP Security certifications (GCIA, GCIH, GCED, or similar) Ability to balance security rigor with operational efficiency and business needs How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking an IT Security Engineer to own the security standards and controls that protect Alpaca’s workforce identities, endpoints, and critical business systems. The scope includes identity and access management, single sign-on, privileged access, multi-factor authentication, endpoint security, secure network access, and email security. You will maintain those standards, measure how the controls are working, and partner with IT, who run devices and day-to-day administration. This role reports to the Enterprise Security Architect and works closely with IT, DevOps, Engineering, GRC, and the wider Security team. The Security Team is 100% distributed and remote. Things You Get To Do: The core responsibilities of the IT Security Engineer are focused on identity security, endpoint security, email and domain protection, and measurable control enforcement. Identity and Access Security: IAM and SSO Standards: Define and maintain security standards for SSO and conditional access across cloud, SaaS, and internal systems. Multi-Factor Authentication: Own multi-factor authentication standards, including phishing-resistant methods, and keep them enforced. Privileged Access: Maintain privileged-access standards, approval policies, and periodic access reviews with system owners. Joiner, Mover, Leaver: Partner with IT and People teams so access changes are timely, complete, and auditable. Endpoint, Email, and Domain Security: EDR Policy: Own endpoint detection and response policy and tuning, with IT handling deployment. Device Posture: Maintain device-posture and secure network access requirements for access to business applications. Control Measurement: Measure identity and endpoint controls and follow up where they are not met. Detection Partnership: Work with Security Operations on identity, endpoint, and email detections and response playbooks. Admin Access: Maintain security baselines for administrator access to critical SaaS platforms and vendor accounts. Vendor Security Events: Assess the identity and account impact when a SaaS provider or vendor reports a security event. Email Security: Own email authentication standards and email security configuration. Domain Protection: Maintain security standards for company domains and for monitoring lookalike domains. Phishing Response: Triage reported phishing and coordinate takedowns. Incident Response and Collaboration: Incident Support: Lead the identity, endpoint, and email aspects of security incidents, including account containment. On-Call: Participate in the Security Operations on-call rotation after onboarding and cross-training. Enablement: Give IT and employees clear guidance on security requirements, so controls are adopted without slowing the business. Who You Are (Must-Haves): Excited about Alpaca’s mission and what we’re building 3+ years of experience in IT security, identity security, or security engineering roles Hands-on experience with an identity provider and SSO, including SAML and OIDC Experience enforcing phishing-resistant MFA, such as FIDO2 or hardware security keys Hands-on experience with an endpoint detection and response platform Scripting or automation experience (Python, Bash, or PowerShell) Experience with zero-trust network access or device-posture controls Working knowledge of email authentication (SPF, DKIM, DMARC) and phishing response Experience working closely with IT teams and translating security requirements into operational workflows Experience investigating identity, endpoint, or email security alerts Willing to participate in an on-call rotation Strong written and verbal communication skills, especially during incidents Comfortable working cross-functionally and handling escalations calmly and decisively Who You Might Be ( Nice-to-Haves): Experience securing financial, trading, or other highly regulated platforms Familiarity with compliance frameworks such as SOC 2 or ISO 27001 Experience with just-in-time privileged access tools Experience securing administrator access to SaaS platforms Experience with password managers and secrets management at company scale Experience with MDM platforms for macOS and Windows Experience with cloud IAM in AWS, GCP, or Azure Ability to balance security rigor with operational efficiency and business needs How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking an AI Security Engineer to own the technical security controls for how Alpaca uses AI. The scope includes identity for AI agents and automations, security requirements for AI tools and integrations, guardrails, and security logging. You will also assist in developing AI-powered security tooling. You will keep those controls consistent as AI adoption grows, and you will work with the teams building with AI so security is part of the design. This role reports to the Enterprise Security Architect and works closely with AI Enablement, Engineering, DevOps, GRC, and the wider Security team. The Security Team is 100% distributed and remote. Things You Get To Do: The core responsibilities of the AI Security Engineer are focused on AI access controls, secure AI platforms, guardrails, visibility into AI usage, and AI-powered security tooling. AI Identity and Access Controls: Agent Identity: Define how AI agents, bots, and automations authenticate, what they can access, and how their actions are attributed and audited. Tool Access: Own security requirements for AI tool integrations, including least-privilege access and credential handling. AI Assistant Controls: Define and enforce security settings for approved AI tools, including data handling and access policy. Least Privilege: Limit each agent and integration to the access it needs, and review that access when the integration changes. Secure AI Platform, Tooling, and Response: Security Requirements: Define security requirements for internal AI applications, including identity, data handling, secrets, and review of new integrations. Guardrails: Design and implement guardrails for AI applications and agents. Design Reviews: Review new AI applications and integrations for security risks, and give builders clear, practical requirements. Security Tooling: Assist Security Operations in developing AI-powered tooling that supports detection, investigation, and response work. Safe Use in Security: Apply the same identity, data handling, and logging requirements to security team AI tools as to the rest of the company. Telemetry Requirements: Define the security logging AI systems must produce, and work with Security Operations on detection. Approved Use: Maintain visibility into AI tool usage and confirm it follows approved configurations. Incident Support: Lead the AI-specific aspects of security incidents, such as agent misuse or data exposure through AI tools. On-Call: Participate in the Security Operations on-call rotation after onboarding and cross-training. Governance: Standards: Turn AI security standards into technical controls. GRC Partnership: Partner with GRC on AI governance and provide technical evidence for control design. Who You Are (Must-Haves): Excited about Alpaca’s mission and what we’re building 2+ years of experience in security engineering, application security, or cloud security roles Hands-on experience securing LLM applications, AI agents, or AI developer tools Understanding of AI-specific risks, such as prompt injection, data leakage, excessive agency, and insecure tool use (for example, the OWASP Top 10 for LLM Applications) Experience with identity and access controls for services and non-human identities, including OAuth, service accounts, and secrets management Programming experience in Python or another general-purpose language Experience with CI/CD security checks and cloud-native deployments Experience with security operations or incident response Strong written and verbal communication skills, especially when explaining risk to non-security builders Comfortable working cross-functionally and making pragmatic security decisions Willing to participate in an on-call rotation Experience building AI-assisted workflows for security operations Experience building security telemetry for AI systems Who You Might Be ( Nice-to-Haves): Experience securing financial, trading, or other highly regulated platforms Experience securing enterprise AI coding tools and AI integrations Experience with policy-as-code and Kubernetes Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or ISO 42001 Ability to balance security rigor with operational efficiency and business needs How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy