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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager for Corporate Engineering, you will lead programs that build world-class business solutions enabling every Ant to do their best work. In partnership with Anthropic's IT & Security organization, you will drive end-to-end solutions across the company, delivering the right products, tools, platforms, and experiences for all Ants as they work to create a world for safe and powerful AI. In the simplest terms, you build and drive solutions to enable all of Anthropic to be more productive. You will use your technical and program management expertise to lead complex, multi-disciplinary programs from start to finish. You will work with stakeholders to plan requirements, identify risks, lead execution, and communicate clearly with cross-functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to leadership as you are discussing the technical tradeoffs in product development with engineers. This role owns the full spectrum of Corporate Engineering programs: the IT systems Ants depend on daily, first-party and third-party software platforms, endpoint devices, office infrastructure, AV and collaboration equipment, network infrastructure, and the programs that scale our physical office footprint as Anthropic grows. Responsibilities Partner across Corporate Engineering domains to drive alignment and delivery : Work with globally distributed product, engineering, and architecture teams to foster collaboration, help teams adopt enterprise standards, and enable faster delivery with consistent practices across the organization Define and maintain core architectural foundations : Assist in establishing and maintaining the architectural standards that underpin Corporate Engineering systems, ensuring scalability, reliability, and security as Anthropic grows Lead office deployment and scaling programs : Own end-to-end planning and execution for new office buildouts and expansions, coordinating across IT, Facilities, Security, and external vendors to deliver fully operational workspaces on schedule Own internal systems and infrastructure programs : Drive programs for all internal systems and hardware deployed in Anthropic buildings, including network infrastructure, AV equipment, printing and collaboration hardware, and building technology integrations Lead endpoint and device management programs : Own global programs for corporate laptops, mobile devices, and endpoint management, ensuring Ants have secure, well-managed devices that enable productivity from day one Drive IT Operations excellence : Lead programs that improve IT service delivery, support operations, and the overall Ant experience with technology, driving continuous improvement in reliability and responsiveness Manage enterprise software and platform programs : Lead programs for the 1P and 3P software platforms Ants depend on, including HR systems, productivity tools, and business applications, from evaluation through deployment and ongoing optimization Collaborate with cross-functional stakeholders : Work closely with Security, Facilities, People, Finance, and functional teams across Anthropic to ensure Corporate Engineering programs meet diverse organizational needs Communicate effectively at all levels : Comfortable communicating across all levels of Anthropic from presenting analyses, recommendations, and program status to leadership, engaging deeply on technical tradeoffs with engineering teams, and communicating broadly to the entire company You May Be a Good Fit If You Have 8+ years of experience in IT, Corporate Engineering, or Enterprise Technology, with at least 4+ years leading complex, cross-functional programs Technical background in enterprise IT systems, including endpoint management, identity and access management, network infrastructure, and SaaS platforms Experience leading office buildout or infrastructure deployment programs, coordinating across IT, Facilities, and external vendors Proven experience as a Technical Program Manager or similar role in a technology-focused environment, with a track record of leading company-wide programs to successful completion Strong communication skills with the ability to translate technical concepts for executive audiences and engage credibly with engineers on technical details Ability to manage ambiguity and drive clarity in fast-paced, evolving environments where requirements and priorities shift Strong collaboration skills with proven ability to partner across diverse stakeholders including IT, Security, Facilities, People, Finance, and functional teams Strong Candidates May Also Have Experience scaling IT infrastructure in high-growth technology companies Background in IT service management (ITSM) frameworks and continuous improvement methodologies Experience with enterprise software evaluation, procurement, and vendor management Familiarity with modern endpoint management platforms and zero-trust security architectures Experience with AV systems, video conferencing infrastructure, and collaboration technology deployments Prior technical experience as an IT engineer, systems administrator, or network engineer Experience with IT programs in AI/ML research environments or organizations with unique security and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA or Seattle, WA 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. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ 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: San Francisco, CA or Seattle, WA 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. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ 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: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Manager, Customer Success Engineers, you’ll lead a team of technical specialists who drive GitLab adoption and value realization at scale across the Americas. You’ll design and run scalable technical enablement programs that help customers unlock business outcomes from GitLab across source code management, CI/CD, DevSecOps, and Agile planning, while building repeatable frameworks to remove adoption barriers. Reporting to the Senior Director of Customer Success Managers, you’ll combine deep DevSecOps expertise with strategic program development, partnering closely with Sales, Renewals, and cross-functional teams to turn technical insights into commercial impact, reduce churn risk, and surface expansion opportunities. In your first year, you’ll be focused on establishing clear metrics for technical value, strengthening voice-of-the-customer feedback loops with Product and Engineering, and elevating the effectiveness and impact of the Customer Success Engineering team across a pooled book of business in the AMER region. What you’ll do Lead a distributed team of Customer Success Engineers in the Americas to drive GitLab adoption and technical value realization across a pooled book of business. Develop and execute scalable technical enablement strategies and programs that help customers use GitLab for source code management, CI/CD, DevSecOps, and Agile planning. Drive creation of repeatable frameworks and systematic solutions that remove adoption barriers and support measurable customer business outcomes. Collaborate closely with Sales, Renewals, and Customer Success Managers to align technical enablement with commercial objectives, supporting retention and expansion across accounts. Use data and performance indicators to assess program effectiveness, identify adoption trends, and adjust technical initiatives for greater impact at scale. Mentor and coach team members to strengthen their DevSecOps expertise, customer engagement skills, and ability to translate technical capabilities into business value. Champion the voice of the customer by translating field insights and technical pain points into actionable feedback for Product, Engineering, and other cross-functional teams. Partner with internal stakeholders to ensure customer feedback, feature requests, and adoption insights inform roadmap priorities and improvements to the overall customer experience. What you’ll bring Strong understanding of DevSecOps practices, with the ability to connect GitLab capabilities across source code management, CI/CD, security, and Agile planning to tangible business outcomes. Experience leading and developing technical teams in a distributed, remote environment, with a focus on customer outcomes and scalable impact. Background in software development or engineering that enables you to guide technical conversations, remove adoption barriers, and design effective enablement paths. Experience designing and implementing scalable customer success or technical enablement programs, using data to measure impact and refine approaches. Ability to translate complex technical concepts into clear, outcome-focused messaging for both technical and non-technical stakeholders. Proven skill in collaborating with Sales, Renewals, and other cross-functional teams to align technical adoption work with commercial objectives. Comfort using customer insights and feedback to influence internal priorities, including product, process, and program decisions. Openness to diverse backgrounds and transferable skills, with a growth mindset toward learning GitLab’s platform and evolving DevSecOps practices. About the team We're the Customer Success Engineering team within the broader Customer Success organization. We're a distributed, remote group that collaborates asynchronously across time zones, using GitLab and our handbook-first approach to coordinate work rather than relying on dedicated account assignments. This structure helps us deliver a consistent customer experience, quickly share learnings across accounts, and continuously improve how we support customers. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $124,800 — $210,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote - US Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partnership with application teams to improve visibility. Define capacity and retention strategy for the telemetry stack as the fleet grows. Infrastructure & Automation Own infrastructure-as-code for observability stack deployments across multiple Kubernetes clusters. Write and review automated playbooks for configuration management and automation across Debian-based bare metal servers. Partner with the SRE team on Consul-based service discovery for VictoriaMetrics scrape target automation. Lead Ceph storage observability, including OSD health, performance metrics, and integration with alerting. Collaborate with the Network Engineering team on BGP, routing, and network-level observability. Required Qualifications 8+ years in a systems engineering, SRE, DevOps, or observability-focused role, including demonstrated technical leadership on a platform or infrastructure team. Deep hands-on experience with Prometheus, VictoriaMetrics, or equivalent metrics platforms, including PromQL, Alertmanager, and operating these systems at scale. Experience designing and operating log aggregation pipelines such as Elasticsearch/OpenSearch, Logstash, Filebeat, or similar. Working knowledge of distributed tracing (Jaeger, OpenTelemetry, or equivalent), including instrumentation strategy, not just operation. Proficiency in Python and/or Go for automation and tooling. Experience with Kubernetes, including deploying workloads and understanding pod networking and storage. Experience with infrastructure-as-code tooling and configuration management. Strong understanding of Linux internals, with Debian/Ubuntu preferred. Demonstrated experience mentoring engineers and raising the technical bar on a team. Excellent written and verbal communication skills. You'll work across engineering, SRE, security, and leadership, and you'll be expected to write design documents that drive decisions. Preferred Qualifications Experience leading the evaluation or deployment of AIOps tooling, including alert correlation, deduplication, or automated root cause analysis. Experience building, deploying, or operating AI agents or agentic AI systems. This is a strong differentiator. Familiarity with LLM APIs (Anthropic, OpenAI) or self-hosted LLM inference in an infrastructure context. Familiarity with Ceph storage, including OSD management, pool configuration, and CRUSH maps. Experience with incident management platforms. Familiarity with BGP, network observability, or working in multi-DC environments. Experience with secrets management in production environments. Experience operating in a regulated or compliance-driven environment. Prior experience in a storage-focused company or hyperscale infrastructure environment. What You'll Work On A telemetry stack spanning several data centers with exabytes of storage under observation. Real infrastructure at scale: Kubernetes, Ceph, Vitess, KVM, and a custom storage platform serving hundreds of thousands of customers. A collaborative team that values engineering excellence, transparency, and operational rigor. Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $178,000 - $200,000 plus 10% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As Lead Prototype Engineer on the Core Platform team, you will lead and grow a team of prototype engineers and technicians while staying hands-on at the bench. You’ll set the technical standard for how we build, diagnose, and evolve advanced humanoid robotic platforms. Your focus is electrical integration, bring-up, and root-cause analysis across the full hardware lifecycle, from concept and prototyping to field repair. You’ll emphasize reliability and repeatable processes. WHAT YOU'LL DO - Lead, mentor, and develop a team of prototype engineers and technicians. Set priorities, allocate work, and raise the team’s technical and process standards. - Stay hands-on: personally drive troubleshooting and resolution of the most complex electrical issues in prototype humanoid robots, across operational and in-development systems. Lead detailed failure analysis and share learnings with hardware and software engineering teams. - Own electrical bring-up of new prototype builds, including power distribution, motor drive and actuator electronics, sensor integration, communications buses, and high-density electromechanical integrations. - Collaborate closely with electrical, mechanical, firmware, and software engineers on prototype design, assembly, and design-for-test. - Define, maintain, and enforce test procedures, troubleshooting guides, and repair runbooks for the prototyping lab, and make sure the team follows them. - Design, document, and iterate on cable assemblies, wiring harnesses, and test jigs built for repeated use on dynamic robotic platforms. - Own lab planning and priorities: build schedules, resource allocation, tooling, equipment, and spares. Balance competing demands from multiple engineering teams. - Identify and drive continuous improvement in processes and products, reducing downtime, improving test and repair efficiency, and raising first-pass yield and manufacturability. - Build strong feedback loops across design, build, and test, and communicate status, risks, and lessons learned to engineering leadership. WHAT WE'RE LOOKING FOR - Strong, hands-on electrical engineering background in rapid prototyping, debugging custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. - Deep working knowledge of low-voltage power and mixed-signal circuits, motor drives, connectors, sensors, and compact electromechanical systems. You are comfortable using oscilloscopes, logic analyzers, power supplies, and other bench instrumentation to diagnose faults. - Experience reading schematics and PCB layouts, performing board-level rework and repair, and designing or specifying harnesses and cable assemblies. - Prior experience leading or mentoring engineers or technicians, formally or as a technical lead. You are comfortable taking on direct reports and balancing people management with hands-on work. - Track record of communicating concisely through documentation, procedures, test plans, diagnostics, and lessons learned. - Adept at collaborating across electrical, mechanical, and software boundaries to solve urgent, ambiguous problems. Mechanical prototyping skills are a plus. - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. Preferred: - Experience designing for manufacturability and reliability in human-sized or mobile robotics. - Familiarity with automated test and diagnostic tools used in modern hardware labs. - Experience building or scaling a prototyping or field engineering team, including hiring and setting up lab processes. - Mechanical assembly and integration experience alongside strong electrical skills. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$200K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. Проектирование и наполнение баз данных и аналитических витрин для оценки использования CodeGen-платформы.

Location: UK: London (7 Devonshire Square) Workplace: Hybrid The role & impact As an Engineering Manager, you will drive the delivery of high-quality software by leading a high-performing inclusive team. You will act as the technical anchor, balancing predictable roadmap delivery with a relentless focus on team growth, technical excellence, and system health.   Your work requires a delicate balance between short-term product delivery velocity and long-term operational excellence. You will guide your team to hone their craft, champion AI-native workflows, and resolve complex technical challenges to deliver impactful outcomes that align with business and customer goals.   The team & how they connect You will lead a results-driven team that operates with clear goals and ownership, fostering a high-trust environment where "blameless" problem-solving is the norm. The team works closely with Product and Design partners to shape solutions that truly matter to our customers.   The team is currently working on - Modernising architectures and improving CI/CD maturity to reduce operational risk.   - Embedding AI-native engineering workflows across the SDLC to boost velocity and reduce toil.   - Refining system design and architecture for high-scale, high-availability distributed systems.   - Driving visibility into system health and technical debt to enable proactive improvements.   Where and how you can work Xero is a Great Place to Work UK accredited company. We offer remote, hybrid or office based roles (hybrid and in-office in London, Milton Keynes or Manchester). Our offices offer boost days for connection and collaboration.   Here are some of the things we are looking for - Extensive professional software engineering experience, with a proven track record of technical maturity and delivering complex systems.   - Demonstrated experience leading, coaching, and performance-managing engineers, including building and improving team capability over time.   - Proven track record of translating business goals into executable engineering plans, balancing short-term delivery with long-term sustainability.   - Hands-on experience writing, reviewing, and debugging production code, with the technical credibility to guide engineering decisions.   - Experience building and supporting high-scale, high-availability distributed systems, including leading or overseeing incident response.   - Experience leading teams in the adoption of AI-native engineering workflows to improve developer productivity and quality.     Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Join a Great Place to Work-Certified™ company where your voice matters.

Location: Bellevue, United States 📍 Location: Bellevue, WA 📄 Employment Type: 6-Month W-2 Contract | Potential for Full-Time Conversion 🏢 Work Arrangement: Hybrid — 3 Days/Week On-Site 🗓️ Schedule: Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must be a U.S. Person — U.S. Citizen or U.S. Permanent Resident (Green Card holder) . Must be able to work on-site in Bellevue, WA, 3 days per week . Strong hands-on experience developing embedded C firmware for 32-bit ARM Cortex-M or similar microcontrollers. Experience with register-level peripheral programming. Hands-on PCB and firmware bring-up experience. Working knowledge of USB-C / USB Power Delivery (USB-PD) . Experience communicating with companion ICs through I2C, SPI, and/or UART. Proficiency with bench-level debugging equipment, including oscilloscopes, logic/protocol analyzers, multimeters, SWD/JTAG debuggers, and UART logging. Ability to work from datasheets, register tables, and schematics. Proficiency with Git. About the Role We are seeking a hands-on Embedded Firmware / Software Engineer – USB-C Power Delivery to bring up new hardware platforms built around USB-C Power Delivery controllers and develop firmware from initial PCB power-on through production-quality implementation. This is a low-level embedded firmware engineering role focused on hardware interaction, not application-level software development. You will develop and debug embedded C firmware on ARM Cortex-M microcontrollers, configure companion ICs over I2C, SPI, and UART, and work directly at the hardware bench alongside electrical and hardware engineers. The ideal candidate can move comfortably between embedded C development, PCB bring-up, USB-PD functionality, peripheral communication, and hardware-level debugging. What We’re Looking For We’re looking for an engineer who is genuinely comfortable working at the hardware bench and has personally brought up and debugged embedded hardware. The ideal candidate can explain how they powered on a new board, validated power and clocks, initialized the microcontroller, configured peripherals, debugged hardware and firmware issues, and verified USB-C Power Delivery behavior. Strong candidates will combine expertise in: Embedded C + ARM Cortex-M + PCB Bring-Up + USB-C/USB-PD + I2C/SPI/UART + Bench Debugging Candidates whose experience is limited to application-level software development, without hands-on firmware and hardware bring-up experience, may not be a fit. Key Responsibilities PCB Bring-Up & Hardware Validation Bring up new printed circuit boards (PCBs) from initial power-on through functional firmware. Validate power rails, clocks, and hardware interfaces during board bring-up. Connect and configure SWD/JTAG debuggers. Enable and validate microcontroller peripherals. Work closely with hardware engineers to isolate hardware versus firmware issues. Support development from initial prototype bring-up through production-quality firmware. Embedded Firmware Development Develop and debug embedded C firmware on ARM Cortex-M-class microcontrollers. Implement register-level peripheral programming. Configure and communicate with companion ICs over I2C, SPI, UART, and other peripheral interfaces. Work within memory-constrained environments, accounting for flash and RAM limitations. Analyze datasheets, register tables, and schematics to configure and troubleshoot hardware. Document firmware configurations, implementation decisions, and design considerations. USB-C & Power Delivery Implementation Implement and debug USB-C and USB-PD functionality, including: Source and sink roles Dual-role power (DRP) Power-contract negotiation Fault handling and recovery Validate USB-PD behavior and troubleshoot power-delivery issues. Support the implementation and verification of reliable USB-C Power Delivery functionality. Work with hardware engineers to resolve issues involving USB-PD controllers and associated circuitry. Hardware Debugging & Testing Debug firmware and hardware directly at the bench using: Oscilloscopes Logic and protocol analyzers Digital multimeters SWD/JTAG debuggers UART logging Investigate hardware and firmware issues using schematics, register maps, and measurement results. Validate peripheral communication and hardware functionality. Support troubleshooting throughout development and testing. Documentation & Engineering Collaboration Maintain clear documentation of firmware configurations and design decisions. Collaborate closely with hardware and electrical engineering teams. Communicate debugging findings and support root-cause investigations. Use Git for source control and firmware development workflows. Contribute to firmware quality and production readiness. Required Qualifications Strong proficiency in embedded C . Experience developing firmware on 32-bit ARM Cortex-M or similar microcontrollers . Strong understanding of: Interrupts Register-level peripheral programming Memory-constrained embedded development Flash and RAM limitations Working knowledge of USB-C and USB Power Delivery. Understanding of USB-PD source, sink, and dual-role power (DRP) configurations. Understanding of USB-PD power-contract negotiation and fault handling. Hands-on experience with hardware and PCB bring-up. Experience communicating with and configuring companion ICs through I2C, SPI, UART, or similar interfaces. Ability to read and work from datasheets, register maps, and schematics. Experience using oscilloscopes, logic/protocol analyzers, multimeters, SWD/JTAG debuggers, and UART logging. Proficiency with Git. Strong troubleshooting and hardware/firmware debugging skills. Ability to collaborate closely with hardware and electrical engineering teams. Preferred Qualifications Experience with Infineon or Cypress MCU SDKs/IDEs and associated middleware. Experience with ModusToolbox, STM32Cube, or similar development environments . Experience creating or customizing a Board Support Package (BSP). Experience with firmware bootloaders and update mechanisms, including DFU or equivalent. Experience with power-path or regulator firmware, including: VBUS control Over-voltage protection (OVP) Under-voltage protection (UVP) Over-current protection (OCP) Fault detection and recovery Enable and soft-start sequencing Experience with USB subsystems such as: USB hubs DisplayPort Alt Mode Redrivers Retimers Billboard devices Nice-to-Have Qualifications Experience with Infineon EZ-PD / PMG1 or Cypress CCGx USB-PD controllers . Experience with ModusToolbox. Experience implementing continuous integration (CI) for embedded firmware builds. Familiarity with USB-IF Power Delivery compliance requirements and USB-C specifications. Experience taking embedded products from prototype hardware through production.

Location: Salt Lake City, Utah, United States About the Role The Structured Investments Distribution Engineer at iCapital will play an integral role in designing and implementing systems that power the iCapital platform. This role will focus on building highly performant and intuitive APIs and applications. Beyond expertise in specific technologies, the ideal candidate will bring strong technical depth, a driven mindset, and a focus on delivering high-quality end products for clients. The iCapital platform operates on microservices architecture, with services built in Scala, Ruby, Node.js, and Python. This role also provides opportunities to develop proficiency in new tools and technologies through hands-on experience, with support from management and mentors. Responsibilities Build cloud native services using Scala using open-source frameworks Akka, ZIO etc. Contribute to unit and integration test development using Scala Test and ZIO Test. Participate in stand-up meetings and peer code reviews as part of our standard SDLC and Change Management Process. Work closely with the Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found via testing. Qualifications Degree in Software Engineering 5+ years of web-based application development Experience in Scala, Node.js or Java a plus Demonstrated understanding of relational or NoSQL database concepts and modeling practices Passion for actively learning new technologies Ability to work independently or as part of a group effort, as required Solid problem-solving abilities Excellent communication skills Collaborative approach to software development Benefits The base salary range for this role is $ $100,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Tenable's InfoSec team is looking for a Security Engineer to join our Security Engineering & Architecture group. This role was built deliberately to span disciplines rather than specialize in one: you'll split your time between securing our cloud environments and supporting general security engineering disciplines across the business — covering cloud and non-cloud systems alike. If you're early-career but curious across the breadth of InfoSec rather than narrowly focused on one domain, this role is built for you. Your Opportunity: Support day-to-day cloud security operations — monitoring, triage, and remediation of findings across AWS, Azure, and/or GCP environments using CNAPP/CSPM tooling. Contribute to Security Architecture Reviews for new systems, integrations, and vendor onboarding — regardless of whether the system in question is cloud-hosted, on-prem, or SaaS. You'll work directly with the architects and engineers who own this process today, learning the methodology and eventually taking reviews from intake to sign-off. Help identify and document misconfigurations, excessive permissions, and insecure IaC patterns (Terraform/CloudFormation), and help track remediation through to closure. Participate in risk assessments and threat modeling exercises for new projects — applying the same core analysis skills whether the subject is a cloud workload, an internal application, or a third-party integration. Assist with IAM/RBAC reviews and least-privilege efforts; flag static credentials, over-broad roles, and gaps in audit logging wherever they appear in the environment. Build foundational familiarity with how AI/agentic systems intersect with our environment — cloud-hosted LLM services (AWS Bedrock, Azure OpenAI, GCP Vertex AI), the Model Context Protocol (MCP), and the basic risk surface of agent/tool-calling architectures and apply that awareness during reviews when these systems show up in scope. Work cross-functionally with engineering, GRC, and TPRM to keep architecture reviews and cloud findings moving — this role is a connective thread between teams, not a silo. What You'll Need: 2–3 years of experience in a security engineering, cloud security, IT security, or related technical role (internships and adjacent IT/ops experience count). Working knowledge of at least one major cloud provider (AWS, Azure, or GCP) — IAM fundamentals, networking basics, and common misconfiguration patterns. Basic understanding of security architecture review or threat modeling concepts (e.g., STRIDE, data flow diagrams) — or clear aptitude and interest in learning them. Familiarity with core security engineering practices: least-privilege access, audit logging, secrets management (no static credentials), and secure configuration baselines. Comfort reading documentation and asking good questions across unfamiliar systems — this role touches a lot of different architectures, so curiosity matters more than deep specialization in any one of them. Strong written communication — you'll be documenting review findings and cloud remediation guidance for technical and non-technical audiences alike. And Ideally: Exposure to IaC security scanning (Terraform/CloudFormation) or CNAPP/CSPM/CIEM platforms. Some hands-on exposure to a formal architecture/design review process, even informally (e.g., reviewing a peer's system design for security gaps). Basic familiarity with AI/LLM concepts — prompts, context windows, tool/function calling, RAG — and awareness of frameworks like the OWASP Top 10 for LLM Applications or the NIST AI RMF. A relevant certification (Security+, AWS/Azure/GCP security certs, or similar) or equivalent self-directed learning. Prior exposure to compliance frameworks (SOC 2, FedRAMP, ISO 27001) relevant to architecture review sign-off #LI-Hybrid #LI-MS1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $102,500 — $136,500 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

-Принимать участие в проектировании архитектуры приложения и развитии frontend-подходов команды. -Вместе с командой переосмыслить и переработать существующий pilot/MVP в полноценный production-ready продукт.

Обязанности: — Взаимодействие с командами разработки — Коммуникация со смежными командами по продукту. — Разработка и оптимизация процессов CI/CD на базе GitLab; — Развертывание и поддержка Kubernetes Требования: — Опыт работы DevOps от 3-х лет — Опыт работы с мониторингом (Prometheus, Grafana) — Опыт работы с CI/CD стеком ( Github, Ansible); — Знание Docker,Kubernetes; — Системный подход, отзывчивость, навыки в коммуникации — Способность читать техническую документацию на английском языке — Опыт работы с базами данных блокчейна - будет плюсом Условия: — Fulltime-работа. Возможен гибкий график — Конкурентная ЗП 3600 до 4100 USD, подробнее обговорим лично — Работа в одной из топовых команд в своей сфере — Возможность работы на удаленке — Курсы по повышению квалификации от компании

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 30,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Depending on your experience / skillset and our broader priorities, you could: - Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical - Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional and responsive - Lead product security testing: threat model new features (including AI/agent-facing surfaces), review designs and code for security-relevant risk, and do hands-on testing (manual and tool-assisted) rather than relying solely on scanners - Be a primary responder for security incidents: lead investigation and containment, drive postmortems, and turn lessons into concrete hardening work - Own meaningful chunks of our cloud/infra security posture on GCP/k8s/Postgres: harden configurations, close gaps surfaced by audits or scanning, and partner with infra engineering on secure defaults - Build and maintain security tooling and automation, including using AI/LLM tooling to speed up triage, code review, and repetitive investigation work, so the program scales without linear headcount growth - Partner with the GRC/Trust function: feed real findings into the risk register and control evidence, and help make sure compliance requirements reflect actual engineering practice What we’re looking for - A generalist, senior-level security engineer (5+ years across security engineering, with real depth in at least two of: vulnerability management, product/appsec testing, incident response, and cloud security). We need breadth, rather than a narrow specialist in any one of these. - Hands-on and technical: you can read and reason about code (we use a lot of TypeScript), you’re comfortable in cloud environments (GCP a plus), and you can go deep on a finding rather than just filing a ticket for someone else to fix. You’re comfortable using AI coding/security tools as force multipliers (Linear Agent, Claude, Codex, etc). - Calm under pressure: you can lead an incident from first alert through postmortem without needing to be told what to do next - A builder: you’d rather write a script or ship a tool than repeat a manual process a third time - A pragmatic risk-reducer: you optimize for actually reducing risk, not for checking a box or maximizing findings count - Autonomy-oriented: comfortable setting your own priorities, working with significant independence, and knowing when to escalate - A clear communicator: able to explain a technical finding to a non-technical stakeholder and write it up so it’s actually actionable Our tech This is a hands-on security engineering role. You'll be running tools, reading/writing code, building detections, working in our cloud environment, and partnering closely with the engineers who build our product. Our stack is fronted by Cloudflare and runs on Google Cloud with k8s, Postgres, and Node. For day-to-day work, we use: - Linear, GitHub, Slack, and Google Workspace for collaboration - Claude and ChatGPT for general & engineering-specific AI tasks - Vanta for compliance automation and evidence collection Our security-specific tooling includes: - GitHub Advanced Security - RunReveal - SentinelOne What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

• Не менее 15 лет в разработке ПО, из них не менее 5 лет на руководящих ролях. • Опыт поставки сложных продуктов силами нескольких команд.

Location: Valencia Workplace: OnSite Role highlights: - Title: Systems and Software Validation Engineer - Department: Global Manufacturing Organisation - Reports to: Head of MAITE Spain - Location: Valencia, Spain - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Systems and Software Validation Engineer, you play a vital role in bringing every satellite that reaches our Valencia production line to operational readiness. You will own the first power-on, initial software and firmware loading, and end-to-end systems verification of fully integrated SAR satellites, running automated functional, power, and bus test campaigns, diagnosing issues at the boundary between software, firmware, and electronics hardware, and ensuring configuration control on final activities. Your work lets test campaigns run independently on the line, without pulling engineers away from other teams. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Execute initial satellite power-on, firmware flashing, and subsystem communication verifications. - Run, debug, and execute automated functional, power, and bus test scripts using Python, Shell, and Linux environments. - Work with Git repositories to manage test code, track updates, and verify software builds. - Operate mechanical and electrical ground support equipment (GSE), and troubleshoot electronic hardware, power distribution, and digital interface issues using lab instruments (oscilloscopes, power supplies, multimeters). - Diagnose whether an anomaly is a test setup issue or a genuine unit fault, and raise non-conformance reports (NCRs) in Jira. - Maintain detailed test logs and accurate documentation, and ensure configuration control on final activities. - Assist in managing activities related to satellite launch campaigns. - Actively contribute to continuous improvement initiatives - procedures, processes, tools, test automation, and 6S. - Assist in training and mentoring junior technicians, and communicate proactively with team members and supervisors regarding any challenges or obstacles. - Work closely with the RF Senior Technician, AIT Engineering, and Quality, ensuring clear communication so that satellite build-phase deadlines and technical specifications are met. What we’re looking for Must haves: - Relevant university degree in Aeronautical Engineering, Space Studies, Applied Physics, Electronics, or similar, or equivalent hands-on experience in a related role. - 4+ years of hands-on experience setting up, debugging, and running real test benches and satellite systems or interfaces, not just executing someone else’s scripts. - Proficient in a Linux environment, comfortable modifying and debugging Python scripts, and working with Git. - Systems thinking across avionics, power, and software, enough to tell a test setup fault from a genuine unit fault. - Experience using lab equipment such as power supplies, multimeters, and oscilloscopes. - Excellent communication skills, with particular attention to detail in procedures, preparation, and execution. - Ability to read and interpret technical drawings, assembly instructions, and schematics. - Proficient in English, both written and spoken, to ensure clear communication in a cross-functional environment. Nice to haves: - ICEYE-specific test frameworks, satellite bus specifics, Jira and MES flow, and launch campaign procedures. - Space or satellite AIT (Assembly, Integration, and Testing) background. - Experience with environmental testing (e.g. vibration/shaker rigs, thermal testing). - Experience using Atlassian Cloud (Jira, Confluence). - Lean & Six Sigma experience. Application Process - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Final Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

• Опыт работы с данными в реальном времени. • Самостоятельная разработка на React и TypeScript.

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