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Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE ROLE Our Platform Enablement team is a developer-centric SRE team dedicated to treating our internal engineers as our primary customers. We maintain the foundational layers that impact daily workflows—including observability, CI/CD, and workload orchestration—with the goal of making it simpler and more efficient for teams to deploy and manage their services. If you are passionate about eliminating friction, automating repetitive tasks, and engineering self-service architectures, we would love to meet you. WHAT YOU'LL DO - Manage and advance our internal observability ecosystem, including technologies like Grafana, VictoriaMetrics, and OpenSearch, to empower teams in troubleshooting their own workloads. - Enhance CI/CD workflows and developer utilities using Jenkins and GitHub Actions to optimize the build and deployment lifecycle. - Guide the adoption of Kubernetes and establish standardized patterns for deploying various workloads. - Collaborate closely with engineering teams to resolve technical bottlenecks and build custom tooling when existing solutions fall short. - Contribute to the development and maintenance of our Internal Developer Platform based on Backstage. - Develop and support specialized tooling for AI-driven initiatives. WHAT YOU'LL BRING - More than 5 years of professional experience in SRE or DevOps roles with a clear emphasis on enabling developer success. - Strong interpersonal skills and a deep sense of empathy for the challenges faced by software developers. - Proven expertise in AWS and Kubernetes environments, coupled with a mastery of Infrastructure as Code via Terraform or similar frameworks. - Practical experience managing monitoring stacks and deployment pipelines at scale. - A natural inclination toward building automated, reusable systems that favor self-service over manual intervention. - A track record of integrating AI tools into your engineering methodology to improve productivity. NICE TO HAVE - Familiarity with the broader ecosystem including ClickHouse, Sentry, or developer portals like Backstage. - Understanding of FinOps principles and strategies for optimizing infrastructure expenditure. - Previous involvement in constructing or scaling internal developer platforms. BENEFITS - 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Maternity & Paternity leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact - 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results. - 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Remote 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 a Strategic Account Executive, you will own a portfolio of strategic and large customers and prospects in Poland, helping them get the most value from GitLab’s AI-powered DevSecOps platform. You’ll break into net new enterprise accounts and expand GitLab’s footprint within existing customers, using a consultative approach to understand their business needs and guide successful adoption and expansion of GitLab. You’ll work closely with pre- and post-sales teams and strategic channel partners to drive full-cycle sales, from prospecting and qualification through rollout, usage, and long-term growth, while acting as the voice of your customers by feeding their feedback and product ideas into GitLab’s public issue tracker. This role will need to be based remotely in UK, Ireland, Netherlands, France, Spain or Germany but selling to accounts in Poland. What you’ll do Own a portfolio of strategic and enterprise accounts, driving both net-new customer acquisition and expansion within existing customers. Lead complex sales cycles from prospecting and qualification through negotiation and close, using a consultative approach grounded in customer business needs. Develop and execute structured account plans that map customer priorities to GitLab’s DevSecOps and AI-powered platform capabilities. Collaborate closely with pre-sales, customer success, support, and strategic channel partners to ensure successful evaluations, rollouts, and long-term adoption of GitLab. Act as the voice of the customer by sharing feedback and product ideas through GitLab’s public issue tracker and with internal stakeholders. Generate and nurture qualified pipeline through targeted outreach, joint activities with channel partners, and effective use of existing relationships. Prepare and maintain accurate activity, pipeline, and forecast reports, and contribute to win/loss analysis to continuously improve sales execution. Partner with Marketing to shape and execute account-based and regional campaigns that support pipeline generation and expansion in your territory. What you’ll bring Experience owning and growing large, complex accounts, including both new business development and expansion within existing customers. Background selling into strategic or enterprise organizations, ideally within software, developer tools, or related technology environments. Ability to run a consultative sales process, from prospecting and discovery through proposal, negotiation, and closing. Demonstrated skill in account planning, forecast management, and coordinating cross-functional resources across pre-sales, post-sales, and support. Effective communicator who can translate customer needs into clear feedback for product, marketing, and technical teams. Comfortable discussing business value with senior stakeholders and aligning solutions to customer goals and challenges. Familiarity with Git, software development tools, or application lifecycle management, and ability to learn GitLab’s platform. Alignment with GitLab’s values and openness to bringing transferable experience from different industries or backgrounds. About the team You’ll join a regional Strategic Sales team that focuses on our largest and most complex customers in Central Europe. We own a defined list of strategic prospect and existing accounts and collaborate closely with Solutions Architects, Customer Success, Support, and Channel partners to drive both new customer acquisition and expansion of GitLab’s footprint. Our Strategic Sales team spend a lot of time collaborating and meeting with customers, so travel will be expected. We are focused on helping enterprise customers adopt the GitLab DevSecOps platform at scale, navigating complex buying centers, and shaping long-term partnerships that support customers’ business and technology goals. 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: Espoo Workplace: Hybrid - Senior Software Engineer (Telemetry) - Fleet Automation, Engineering - Espoo, Finland - Permanent - Hybrid - Employment is subject to applicable security screening (incl. SUPO) The Mission of the Senior Software Engineer (Telemetry) Satellite telemetry does not forgive gaps. Build the systems that make sure there are none. ICEYE's SAR constellation generates a continuous stream of data that fleet operations depend on to function. As a Senior Software Engineer on the Fleet Automation team, you will be a key contributor to the infrastructure that makes that data usable: the pipelines, parsers, and time-series stores that translate raw satellite signals into operational state in near real-time. The scope is expanding, the ownership is real, and the engineering problems are ones you will not find anywhere else. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation. Expected Outcomes and Requirements Outcomes: - Telemetry pipelines ingest, transform, and store satellite data from across the fleet reliably and in near real-time, with minimal manual intervention - Telemetry data stores are performant and well-maintained, including schema design, query optimisation, capacity planning, and zero-downtime production migrations - Anomaly detection and automated recovery systems reduce operational load on the mission operations team - TTC gateway telemetry integration is delivered as a production-grade component ready for customer deployment - Engineering quality across the team is actively raised through code reviews, testing standards, and support of less experienced engineers Role-specific Competences - Strong Python proficiency in production backend systems; experience with Go or Rust is a plus - Proven experience building and operating telemetry systems, data pipelines, and distributed systems in production - Strong working knowledge of PostgreSQL and at least one time-series database such as InfluxDB or Prometheus - Hands-on experience with Kubernetes-native environments, Docker, and infrastructure-as-code tools such as Terraform and Helm - Actively uses AI and LLM tooling as part of their engineering workflow - AWS or equivalent cloud platform experience is a plus Key Competences In addition to the requirements above, we evaluate candidates on these key qualities throughout the hiring process: Intellectual Firepower: Rapidly comprehends, structures and synthesizes complex information, draws accurate conclusions, and communicates them with clarity. Passion and Work Ethic: Brings sustained motivation, resilience, and high personal standards to every challenge. Ownership and Action: Assumes full accountability for outcomes, acting decisively, and ensuring commitments are delivered. Team Player: Works collaboratively across teams, contributing to shared success, and engaging in constructive debate. Integrity and Growth Mindset: Operates with transparency and humility, learns from setbacks, and actively seeks opportunities to grow. Application Process - TA Partner Screen - Hiring Manager Interview - Technical Interview - Values and Fit Interview - Final Interview with SVP of Engineering What We Offer at ICEYE At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team, which is why your growth, wellbeing, and success are a priority. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together. Benefits - A job that matters in a dynamic Defense Technology and Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Occupational healthcare, occupational, and accident insurance - A yearly benefit budget to spend as you wish (sport, transport, bike benefit, wellness, lunch, etc.) - Phone subscription with iPhone of choice - Relocation support (flight tickets, accommodation, relocation agency support) - Time for self-development, research, training, conferences, or certification schemes - Inspiring and collaborative offices and silent workspaces to enable focus Base salary range for this position is 6 000 to 8 500 EUR per month (gross), contingent on your experience level, and will be negotiated individually. Our Commitment to Diversity, Equity, and Inclusion At ICEYE, we believe that diversity is not just a buzzword, it is our greatest asset. We are committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences. Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we are stronger. We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know. 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.

Location: Chișinău, Moldova Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspiration Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? As a Test Engineer Automation, you’ll be a vital part of our dynamic and robust community. You’ll get to work on various exciting and challenging projects across different domains, using your skills and expertise to deliver excellent services and solutions to clients worldwide. 4+ years of experience in automation testing of software products, with experience in web, mobile, and API automated testing Strong Python skills Strong C#, Java, Python, or JavaScript skills Experience in developing and implementing test automation frameworks and test tools Familiarity with popular CI/CD tools Experience with version control systems and reporting tools Practical experience with databases and at least one cloud service provider Strong analytical and problem-solving abilities Excellent communication and collaboration skills Upper-Intermediate English level Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 About Dev.Pro Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Chișinău, Moldova Are you interested in building an exciting IT career at Dev.Pro? Join our exclusive screening process to gain valuable career insights and access personalized feedback on your skill set. As a company of professionals, Dev.Pro offers challenging and interesting projects with world-leading clients, a modern technology stack, and career opportunities for both technical and non-technical specialists. 🟩 What you’ll get by applying: Personalized career growth plan tailored to your aspirations Expert feedback to elevate your skills for lasting success Priority consideration by Dev.Pro for suitable job openings within the company Opportunity to work with top global corporations and participate in industry-shaping projects Give us a chance to get to know you better so that when the right position becomes available, you’ll be the first one we reach out to! ✅ Is that you? 5+ years of experience building modern full-stack applications Strong experience with Angular, TypeScript, and JavaScript Hands-on experience with Node.js and NestJS for RESTful APIs and backend services Experience with relational databases and SQL Experience using Playwright for automated testing Experience testing and validating your own code before delivery Strong understanding of engineering best practices (Git, code reviews, debugging) Ability to work independently while collaborating effectively in an Agile team Proactive mindset with a strong sense of ownership and accountability Clear communication of blockers, status updates, and solution proposals Upper-Intermediate+ English level Desirable: Familiarity with CI/CD pipelines and DevOps practices Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with AI-assisted development tools (Copilot, Claude) Experience with enterprise applications (CRM, ERP, retail, or fleet management systems) Get started now: 1. Send us your CV in English. 2. Schedule a 15-30 minute call with Dev.Pro recruiters. 3. Participate in a 30-minute experience interview focused on testing your soft skills. 4. Get a 1-hour online evaluation of your technical skills by our technical experts. In under 2 hours, you'll know where you stand in your career and be ready for action when Dev.Pro presents you with an exciting job offer! 🎾 About Dev.Pro Dev.Pro is a US-based outsource company with an ambitious and creative mindset that has been delivering superior software products since 2011. Known for its strong human focus, Dev.Pro promotes a work environment that is fair, inclusive, open-minded, and friendly toward people of every race, religion, gender, cultural background, marital/parental status, etc. By joining Dev.Pro, you'll feel what it's like to grow with professionals who support your journey. Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Riyadh, Saudi Arabia The Safety Specialist will support the Safety Lead in implementing and maintaining occupational health and safety programs across KAUST facilities, operations, maintenance activities, construction works, and projects . The role will focus on field inspections, audits, risk assessments, incident investigations, safety documentation, contractor engagement, training, corrective action tracking, and compliance with ISO 45001, HSE policies, and applicable regulatory requirements . The position requires a strong field-oriented HSE professional who can identify hazards, evaluate risks, provide practical safety guidance, investigate incidents, and work effectively with facility owners, project teams, contractors, and service providers. Key Responsibilities HSE Program Implementation: Support the Safety Lead in implementing and continuously improving risk-based safety programs across facilities, operations, maintenance, construction, and projects. Safety Inspections & Audits: Conduct risk-based site inspections, safety audits, compliance evaluations, and field verifications to ensure HSE requirements are being followed. Risk Assessment: Perform hazard identification and risk assessments and verify that appropriate control measures are implemented and effective. Safety Documentation Review: Review HSE documents including risk assessments, method statements, safety plans, permits-to-work, lifting plans, excavation plans, confined-space controls, electrical work procedures, and MOC documentation. Incident Investigation: Investigate or support investigations of accidents, injuries, incidents, and near misses, identify root causes, and recommend corrective and preventive actions. Corrective Action Tracking: Monitor corrective and preventive actions arising from inspections, audits, investigations, and observations, ensuring timely closure and escalation of overdue actions. HSE Training & Awareness: Develop and deliver safety training, toolbox talks, workshops, permit-to-work training, and awareness programs to improve employee and contractor competency. Stakeholder & Contractor Support: Provide practical HSE guidance to facility owners, project teams, contractors, service providers, and other stakeholders to support safe execution of activities. HSE Reporting & Data Analysis: Collect and analyze HSE data, KPIs, inspection findings, audit results, incident trends, and corrective action status, providing reports and recommendations to management. Safety Culture & Compliance: Promote a strong safety culture, intervene in unsafe activities, communicate lessons learned, maintain accurate HSE records, and support compliance with ISO 45001, regulations, policies, procedures, and industry best practices. Requirements Education: Bachelor’s degree in Occupational Health & Safety, Engineering, Science, or a related safety discipline is required. Professional Certification: ISO 45001 Lead Auditor certification is required. Incident Investigation: Certification or formal training in Incident Root Cause Analysis is required. HSE Experience: Minimum 5 years of relevant experience in occupational safety, facilities safety, construction safety, contractor management, projects, auditing, compliance, or related HSE functions. Risk Management: Strong experience in hazard identification, risk assessment, risk control, and implementation of risk-based safety programs. High-Risk Activities: Practical knowledge of safety controls for work at height, lifting operations, excavation, confined spaces, hot work, electrical work, and permit-to-work systems. ISO & Audit Knowledge: Working knowledge of ISO 45001, safety management systems, auditing, inspections, incident investigation, and corrective action management. Knowledge of ISO 19011 and ISO 31000 is an advantage. Safety Certifications: Additional recognized HSE qualifications such as CSP, CHST, NEBOSH Certificate/Diploma, IOSH, or equivalent are preferred. Train-the-Trainer certification is also an advantage. Communication & Reporting: Excellent English communication skills with the ability to prepare professional HSE reports, inspection records, investigation reports, presentations, and safety documentation.

Location: Canada What The Role Is As a Senior Engineer at Babylist, you take on hard problems and own them end-to-end. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll start on a team, but you won't be boxed into it. The roadmap is open, your scope grows as you do and you have a say in what you take on next. Senior here means owning whole problems; Staff is the next step up, setting direction across a domain. What You'll Own A Senior Engineer here owns problems, not just features. You're handed an outcome, you decide what to build, ship it and own whether it worked. You act on incomplete information and change course fast when the evidence says you were wrong. What you do depends on what the team needs: Frame the problem with your PM as a peer, run the experiment and bring customer evidence into what gets built. Harden a critical path, kill a class of incidents or design the abstraction your team builds on. Be the reviewer people want on the risky changes. Manage up with crisp choices: raise the risks early and protect the right tradeoffs. Share what you're learning about AI openly, so the whole team gets sharper. A few problems people at this level are working on right now: Deciding what the registry recommends to each family, from the ranking to the model behind it, and proving in a live experiment that it actually helps. Building the evals system that catches our AI support agent making things up before a customer does. Making a child's info one source of truth instead of five disconnected flows, so parents set it up once and new products like Early Investor build on it. Who You Are You've been shipping production systems for years, and you've got the judgment to show for it. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. The strongest Senior engineers here are generalists, and usually the most prolific builders on their team. You go wherever the problem leads: a backend service one week, a stubborn frontend bug the next, the data pipeline after that. When it's hard you dig in, and you learn unfamiliar parts of the stack fast. Range is the Senior signature. Compensation We post real numbers. For a Canada-based Senior Engineer, the starting base salary range is $255,900 to $318,600 CAD, plus a target annual bonus of 15 percent of base. That's total target cash of roughly $294,285 to $366,390 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks, start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A RRSP match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address.

Location: Canada What The Role Is As a Staff Engineer at Babylist, you own some of our hardest domains and decide where they go. Millions of families depend on what we build. Agents write most of the code now. So the hard part is yours: what to build, how it should work and whether what shipped was right. You're still in the code for the genuinely hard problems. Agents handle the volume. You spend your time on the parts that need a person. We're building well beyond the registry now: the financial side of raising a kid, maternal health made simpler and more human, the education new parents are looking for and the community around them. The hard problems run across all of it, plus the platform underneath and the AI we already ship to families. You'll own a big piece of the product, but you won't be boxed into it. The roadmap is open. You have a say in which bets we make, and you pick what you take on next. What You'll Own A Staff Engineer here sets direction. You own a domain: a product surface, a platform area or a capability that cuts across several teams. You set where it's going over the next year or two, sequence the bets that get there and make the technical and product calls along the way. You're still in the code. We don't have architects who've stopped building. If you stepped away, multiple teams would feel it. Your influence shows up in the systems and the work other teams choose to build on. You don't need direct reports to have that reach. It comes from what you build. In practice, you: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Make the architecture calls that span teams and the ones that are expensive to reverse. Set the standard for how your domain builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones. A few problems people at this level are working on right now: Resolving one customer across registry, shop and health, plus the friends and family buying for them, so personalization works everywhere without each team rebuilding it. Designing the knowledge system our coding agents reliably load, and working out how much context actually helps before it starts to hurt. Building Early Investor, our new family finance product, from scratch, on a deadline that can't move. Who You Are You've shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You've already changed how a team builds with AI, and the new way stuck. Most Staff engineers lean one of two ways, and both do well here. Some point their depth at the systems everyone runs on: the platforms, the reliability and security bar, the harnesses that make AI produce good code. Others point it at the customer: framing the problem with PMs as peers, owning a journey end to end, deciding what to build and learning whether it worked. You don't have to be both. You do have to be excellent at one and fluent in the other. A few things that tend to be true of people who thrive here: You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. You're curious: you spot problems before they're filed and push your own ideas until they ship. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is $299,300 to $372,600 CAD, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $359,160 to $447,120 CAD. On top of that you get meaningful equity and an RRSP match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A RRSP match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $240,000 — $380,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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 | New York City, NY | Seattle, WA 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. At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought. We're specifically looking for a Software Engineer to help us build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must! Responsibilities: Design, build, and maintain scalable features and infrastructure for AI-powered development tools Engage directly with developers inside and outside Anthropic to gather insights and improve user experience Collaborate with researchers to improve model capabilities through shared tools and evals Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments. You may be a good fit if you: Are excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity Spend a lot of time refining and customizing your AI workflows Have experience building and maintaining dev tools Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture Specialize in user experience engineering but are a capable full stack developer Have hands-on experience working with large language models and prompt engineering Have worked on projects with stringent safety, security and/or compliance requirements Care about the societal impacts and ethics of your work Have 6+ years of work experience Strong candidates may also have experience with: Building and maintaining CLI tools Working in large codebases and quickly jumping in to unfamiliar development environments Working with container orchestration and cloud infrastructure Scaling TypeScript projects Working with alternate JavaScript runtimes like Bun and Deno 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: $320,000 — $625,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Anthropic is working on frontier AI systems that handle sensitive information at enormous scale. How we protect that data, and how we build privacy into our systems rather than bolting it on afterward, is central to our mission of building AI that is safe and beneficial. This is a foundational role. As one of our first dedicated privacy engineers, you will help establish the privacy engineering function at Anthropic and shape how privacy is designed into our AI systems from the ground up. You'll sit within our Data Infrastructure team, architecting privacy-preserving systems, leading the implementation of privacy-enhancing technologies across our infrastructure, and providing technical leadership on privacy across engineering, research, and product teams. You'll work at the intersection of privacy engineering, AI safety, and distributed systems, solving problems that don't yet have established answers. This is a senior individual contributor role with high autonomy and broad influence. Key responsibilities Design and implement privacy-preserving architectures for AI training and inference systems operating at very large scale, using techniques e.g. differential privacy, federated learning, and secure multi-party computation Partner with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality Build foundational privacy infrastructure, including automated data discovery, classification, access controls, audit logging, and lifecycle management Translate regulatory requirements (e.g., GDPR, CCPA, HIPAA, the EU AI Act) into technical implementations and automated compliance controls Architect data governance systems for tracking data lineage, purpose limitation, and retention across distributed AI systems Lead privacy reviews and threat modeling for new models and features, identifying risks and designing scalable mitigations Partner with product and infrastructure teams to embed privacy controls into Claude's inference systems, user interfaces, and data pipelines Develop privacy engineering toolkits and frameworks that enable other engineers to build privacy-preserving features by default Design privacy-preserving analytics and measurement systems that surface useful insights without exposing individual user data Evaluate emerging privacy technologies from academia and industry, and contribute to open-source tooling and AI privacy standards Advise on and advocate for privacy practices as a core part of how we approach AI safety Minimum qualifications Experience applying privacy engineering principles in production systems, including privacy by design, data minimization, and purpose limitation Proficiency in Python, Go, or similar languages, with experience building and operating production systems at scale Experience designing and implementing privacy infrastructure for systems with a large user base Experience with data governance, classification, or data lifecycle management systems Experience with distributed systems and cloud infrastructure at scale Understanding of privacy regulations such as GDPR and CCPA, and the ability to translate legal requirements into technical designs Experience conducting privacy reviews, threat modeling, or risk assessments Written and verbal communication skills sufficient to build alignment across engineering, research, legal, and product teams Preferred qualifications Hands-on experience with privacy-enhancing technologies (e.g., differential privacy, homomorphic encryption, secure enclaves, secure multi-party computation) Experience building privacy infrastructure or controls for machine learning or AI systems Experience establishing a privacy engineering practice, or being an early hire in a function Experience serving as a technical lead on complex, multi-quarter projects Contributions to open-source privacy tooling, privacy research, or industry standards 12+ years of experience in a software engineering role, including building and operating large-scale infrastructure 3+ years of experience leading large, complex projects as a technical lead 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: $405,000 — $485,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: United Kingdom What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote UK Compensation Range: £62,000 to £70,500 base plus bonus and equity What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyber-attacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts from the Huntress platform Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide remediations needed to remove the threat Perform tactical malware analysis as part of investigating and triaging alerts Investigate suspicious Microsoft M365 activity and provide remediations Assist in escalations from the Product Support team for threat-related and SOC-relevant questions Contribute to detection engineering creation and tuning efforts Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!) What You Bring To The Team: 2+ years experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set-up allowance (€480) Generous personal leave entitlements Digital monthly reimbursement (€111) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Ireland What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote Ireland Compensation Range: €70,000 to €90,000 base plus bonus and equity What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyber-attacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts from the Huntress platform Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide remediations needed to remove the threat Perform tactical malware analysis as part of investigating and triaging alerts Investigate suspicious Microsoft M365 activity and provide remediations Assist in escalations from the Product Support team for threat-related and SOC-relevant questions Contribute to detection engineering creation and tuning efforts Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!) What You Bring To The Team: 2+ years experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set up reimbursement (£398) Generous personal leave entitlements Digital monthly reimbursement (£92) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE As an Engineering Manager for Product Engineers, you will lead a group of talented builders creating the core developer experience of the Render platform. This role blends strong technical leadership with product thinking: you’ll partner closely with product managers and designers to translate user needs into high-quality, scalable systems that developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, and a passion for building products that developers love.   WHAT YOU'LL DO - Lead and grow a team of product engineers, supporting their development through mentorship, feedback, and clear technical guidance. - Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality. - Partner closely with Product and Design teams to translate customer needs into thoughtful technical solutions and product roadmaps. - Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs. - Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes. - Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution. - Ensure teams maintain a strong understanding of the developer experience and customer impact of the features they build. - Stakeholder Collaboration: Partner closely with product management, customers, and internal teams to understand needs, align priorities, and ensure delivery of impactful features and solutions.   WHAT WE'RE LOOKING FOR - 8+ years as an Engineer shipping products and/or features that have downstream impact on the business and product ecosystem - 2+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management. - Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs. - Product-oriented mindset with experience translating business goals and user needs into engineering roadmaps and shipped features. - Ability to balance urgency with thoughtful execution, helping teams ship quickly while maintaining high quality. - Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design. - A strong sense of ownership and accountability for both team outcomes and long-term system health. NICE-TO-HAVES: - Experience building products for developer platforms, cloud infrastructure, or DevTools. - Background working on highly scalable distributed systems or infrastructure platforms. - Experience improving engineering velocity through tooling, processes, and team practices. - Experience building products used directly by developers or technical users. - A track record of successful collaboration with product, marketing, and customer support teams to drive adoption and retention. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Austin, TX Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. We are looking for a Senior Software Engineering Manager to lead key areas of Vectra’s Platform engineering organization. The Platform team builds and operates foundational software, infrastructure, and tooling used by our products, customers, support teams, and engineering teams. This role is responsible for leading high-performing engineering teams that own critical platform capabilities across appliance software, cloud infrastructure, deployment systems, operational tooling, service reliability, and developer experience. You will partner closely with Product, Security, Support, SRE, Cloud, Detection, and other engineering leaders to deliver reliable, secure, and scalable systems. This is a senior management role for someone who can combine strong technical judgment, operational discipline, people leadership, and cross-functional execution. What You’ll Do Lead and grow one or more engineering teams responsible for foundational platform capabilities. Provide direct management, coaching, career development, and performance feedback for engineers and technical leads. Drive predictable delivery through clear planning, ownership, estimation, Jira hygiene, retrospectives, and consistent follow-through. Partner with Product Management and engineering leadership to define priorities, clarify requirements, and make thoughtful tradeoffs. Participate in architecture discussions and guide technical direction across platform systems. Own operational excellence for team-owned services, including reliability, security, incident response, observability, and root-cause follow-up. Improve platform services consumed by internal engineering teams and customer-facing products. Identify opportunities to improve engineering efficiency through AI-assisted development, automation, and better internal tooling. Encourage responsible use of AI tools for code understanding, test generation, documentation, operational analysis, and repetitive workflow automation. Partner with engineering leaders to evaluate where AI can reduce toil, improve delivery predictability, and help teams move faster without compromising quality, security, or maintainability. Ensure production deployments are fast, reliable, secure, and well-supported by automation. Help define and mature service ownership, operational scorecards, and platform standards across teams. Partner with recruiting to hire, onboard, and retain strong engineering talent. Communicate clearly with senior leaders about progress, risk, delivery health, and investment needs. Platform Scope Depending on organizational priorities, this role may lead or influence work across: Appliance operating system ownership, upgrades, hardening, packaging, provisioning, and migrations. Hardware and virtual appliance platform enablement. Cloud infrastructure across AWS, Azure, Kubernetes, networking, databases, reliability, operations, and alerting. Device-to-cloud connectivity and customer lifecycle systems. CI/CD, build systems, release automation, developer tooling, and engineering workflow automation. Observability, telemetry pipelines, service health dashboards, incident trends, and operational reporting. Containerization standards, runtime operations, and secure deployment patterns. Required Qualifications 5+ years of engineering management or technical leadership experience, including ownership of production software, infrastructure, or platform systems. Experience leading teams that deliver reliable, secure, and scalable software. Strong technical judgment with the ability to discuss architecture, design, code quality, operations, and delivery tradeoffs. Experience with modern software engineering practices including code review, source control, CI/CD, automated testing, release management, and operational readiness. Strong Linux/Unix proficiency. Experience managing Agile delivery practices such as sprint planning, retrospectives, roadmap planning, and project visibility. Ability to lead cross-team initiatives with complex dependencies and ambiguous ownership boundaries. Strong communication, organizational, decision-making, and stakeholder management skills. Demonstrated ability to mentor, motivate, and grow engineers and technical leads. Preferred Qualifications Hands-on experience with AWS, Azure, Kubernetes, Docker, Terraform, GitHub Actions, Jenkins, Packer, or similar platform tooling. Experience with Linux internals, Debian packaging, AppArmor, cgroups, networking, iptables/nftables, or OS-level security. Experience with Python, Go, C++, or systems/backend development. Experience operating production environments and improving reliability, availability, security, and deployment safety. Experience applying AI-assisted tooling, automation, or developer productivity improvements to engineering workflows. Interest in using AI to improve software delivery, operational insight, documentation quality, incident analysis, or supportability. Experience with telemetry systems including metrics, logs, traces, dashboards, and alerting. Experience with appliance software, virtual appliances, customer-deployed infrastructure, or hybrid cloud products. Knowledge of networking, cybersecurity, threat detection, or security operations. What Success Looks Like Success in this role means the Platform team is a trusted partner across engineering: services have clear ownership, teams ship safely and predictably, operational issues are visible and acted on, engineers are growing, and platform investments make the broader product organization faster, safer, and more reliable. Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: Austin, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Behind every feature in our web application stands an architecture — and this role owns it. The Client Web Shell team is responsible for the foundation of our entire web platform: the shell that loads, composes, and connects independently built features into one product used by hundreds of millions of people. As our Web Frontend Architect, you won't just build within this system — you will define it. You'll decide how dozens of teams ship into a single application, what our build and delivery pipeline looks like, how fast the product must be and how we get there, and how AI-powered experiences are woven into the core of the platform rather than bolted on. This is a role for someone who thinks in systems, not screens: your decisions become the blueprint every frontend engineer at TeamViewer builds on. Are you ready to join our team and make an impact? Responsibilities Own the architecture and technical direction of TeamViewer's web platform, including the frontend framework, component library, accessibility, performance, and user experience. Define standards for how AI-powered features and agent experiences are delivered consistently across TeamViewer web products. Establish frontend architecture standards, including component design, reusable patterns, design systems, and maintainable code structures. Drive quality through automated testing, accessibility compliance, performance monitoring, and AI experience evaluation. Lead architecture reviews, provide technical guidance, and support teams during project delivery. Partner with engineering and architecture teams to ensure alignment across products, platforms, and locations. Maintain clear architectural documentation and proactively identify and mitigate technical risks. Requirements 10+ years of software engineering experience, with deep expertise in large-scale web application architecture. Strong hands-on experience with TypeScript, React, design systems, and modern frontend architecture patterns. Experience designing and scaling AI-enabled web experiences, including performance, reliability, accessibility, and user interaction considerations. Strong understanding of frontend quality practices, including testing, accessibility, and performance optimization. Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Experience evaluating technical risk, including dependencies, open-source software, and compliance considerations. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. What we offer Competitive compensation and bonuses Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings Open door policy and business casual dress code We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us! Work location for this position is Austin, TX. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Core Responsibilities Chaos Engineering Platform Architecture & Development (50%) Design and build an enterprise-grade chaos engineering platform supporting multi-cluster (K8s + EC2 hybrid), multi-region, and multi-environment (testnet/mainnet) deployments Core capability development: Fault Injection Engine: Pod-level / Node-level / AZ-level fault simulation, network latency / packet loss / partition, dependency timeout / error injection Production Safety Assurance: Blast radius control, one-click Kill Switch, automatic rollback, real-time impact monitoring Traffic Isolation: Experiment traffic tagging and isolation to ensure fault injection does not impact real users Fault Isolation: Precise impact scoping at service / cluster / AZ granularity Design experiment orchestration capabilities supporting complex fault scenario composition (e.g., simultaneous network latency + downstream timeout + cache invalidation) Deep integration with existing monitoring, alerting, and SLO systems to achieve an automated closed loop: inject fault → observe impact → determine pass/fail Production Resilience Validation Framework (30%) Define safety standards and approval workflows for mainnet fault injection Design and drive routine chaos experiments: Daily patrol-level experiments: Low-risk experiments executed automatically on a daily/weekly basis Periodic validation experiments: Monthly/quarterly resilience verification of critical paths Large-scale drills: Cross-AZ / cross-region disaster recovery failover validation Establish a resilience scoring system to quantify system health based on experiment results Deliver improvement recommendations and drive business teams to remediate identified weaknesses 3. Technology Selection & Team Enablement (20%) Evaluate and select the technology foundation (Chaos Mesh / Litmus / custom components — hybrid strategy) Develop chaos engineering best practices and playbooks to enable SRE teams and application developers Mentor and grow the team (2–3 engineers) in chaos engineering capabilities Stay current with industry developments and introduce cutting-edge practices (e.g., AI-driven fault scenario discovery) ────── Requirements Must-Have: 8+ years of backend / infrastructure engineering experience, with 3+ years dedicated to chaos engineering or stability engineering Hands-on experience with large-scale fault injection in production environments (not just test environments), with deep understanding of production safety constraints Expert-level proficiency in Kubernetes fault injection (Chaos Mesh / Litmus / custom solutions), familiar with CRD / Operator development Proficient in at least one backend language (Go preferred), with platform-level system architecture design capability Deep understanding of distributed system failure modes (network partitions, split-brain, cascading failures, data inconsistency, etc.) Familiarity with observability tech stack (Prometheus / Grafana / Thanos / OpenTelemetry) Excellent technical documentation and solution design skills Nice-to-Have: Experience in financial / trading system stability (understanding of transaction consistency and fund safety constraints) Experience building SLO / Error Budget frameworks Experience building automated fault recovery (self-healing) systems Familiarity with AWS infrastructure (EC2 / EKS / Multi-AZ / Multi-Region) Knowledge of Netflix Chaos Engineering / AWS Fault Injection Simulator / Gremlin Open-source community contributions (Chaos Mesh / Litmus or similar projects) Soft Skills: Ability to balance "safety" and "validation depth" — not afraid of production injection, while maintaining strict risk control Strong cross-team collaboration and influence — chaos engineering requires buy-in from business teams; this role demands persuasion skills Self-driven, capable of independently planning and executing in ambiguous situations Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hong Kong SAR About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Core Responsibilities Chaos Engineering Platform Architecture & Development (50%) Design and build an enterprise-grade chaos engineering platform supporting multi-cluster (K8s + EC2 hybrid), multi-region, and multi-environment (testnet/mainnet) deployments Core capability development: Fault Injection Engine: Pod-level / Node-level / AZ-level fault simulation, network latency / packet loss / partition, dependency timeout / error injection Production Safety Assurance: Blast radius control, one-click Kill Switch, automatic rollback, real-time impact monitoring Traffic Isolation: Experiment traffic tagging and isolation to ensure fault injection does not impact real users Fault Isolation: Precise impact scoping at service / cluster / AZ granularity Design experiment orchestration capabilities supporting complex fault scenario composition (e.g., simultaneous network latency + downstream timeout + cache invalidation) Deep integration with existing monitoring, alerting, and SLO systems to achieve an automated closed loop: inject fault → observe impact → determine pass/fail Production Resilience Validation Framework (30%) Define safety standards and approval workflows for mainnet fault injection Design and drive routine chaos experiments: Daily patrol-level experiments: Low-risk experiments executed automatically on a daily/weekly basis Periodic validation experiments: Monthly/quarterly resilience verification of critical paths Large-scale drills: Cross-AZ / cross-region disaster recovery failover validation Establish a resilience scoring system to quantify system health based on experiment results Deliver improvement recommendations and drive business teams to remediate identified weaknesses 3. Technology Selection & Team Enablement (20%) Evaluate and select the technology foundation (Chaos Mesh / Litmus / custom components — hybrid strategy) Develop chaos engineering best practices and playbooks to enable SRE teams and application developers Mentor and grow the team (2–3 engineers) in chaos engineering capabilities Stay current with industry developments and introduce cutting-edge practices (e.g., AI-driven fault scenario discovery) ────── Requirements Must-Have: 8+ years of backend / infrastructure engineering experience, with 3+ years dedicated to chaos engineering or stability engineering Hands-on experience with large-scale fault injection in production environments (not just test environments), with deep understanding of production safety constraints Expert-level proficiency in Kubernetes fault injection (Chaos Mesh / Litmus / custom solutions), familiar with CRD / Operator development Proficient in at least one backend language (Go preferred), with platform-level system architecture design capability Deep understanding of distributed system failure modes (network partitions, split-brain, cascading failures, data inconsistency, etc.) Familiarity with observability tech stack (Prometheus / Grafana / Thanos / OpenTelemetry) Excellent technical documentation and solution design skills Nice-to-Have: Experience in financial / trading system stability (understanding of transaction consistency and fund safety constraints) Experience building SLO / Error Budget frameworks Experience building automated fault recovery (self-healing) systems Familiarity with AWS infrastructure (EC2 / EKS / Multi-AZ / Multi-Region) Knowledge of Netflix Chaos Engineering / AWS Fault Injection Simulator / Gremlin Open-source community contributions (Chaos Mesh / Litmus or similar projects) Soft Skills: Ability to balance "safety" and "validation depth" — not afraid of production injection, while maintaining strict risk control Strong cross-team collaboration and influence — chaos engineering requires buy-in from business teams; this role demands persuasion skills Self-driven, capable of independently planning and executing in ambiguous situations Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.