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Location: Ukraine; Kazakhstan; Georgia; Armenia; Poland Crystalia Glass LLC is a leading supplier of premium glass and aluminum structures for residential and commercial projects across The USA. Our clients include SpaceX, Nike, Starbucks, Bank of America, Yves Saint Laurent, and many others. The company was founded in 2017 in New York and is rapidly growing. We have offices in Los Angeles, Florida, and Texas, and our projects are implemented throughout the United States. We are looking for a CAD Engineers Team Lead for Interior glass partitions / Glass production with Russian (C1+) and English (B2+) Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone). - B2B contract (sole proprietorship status or corporate entity). - Remote work. Key Responsibilities: Operational Management: Daily review of active projects in ClickUp, distributing workloads, monitoring task execution, and tracking strict project deadlines. Quality Assurance & Review: Controlling drawing quality, checking project documentation, and ensuring compliance before final delivery. Technical Mentorship: Mentoring project engineers on complex/non-standard projects, participating in node development, and leading daily/weekly team syncs. Process Standardization: Customizing and maintaining workspaces in Slack/ClickUp, building internal document templates, and updating working groups. Reporting: Preparing weekly and monthly progress and efficiency reports of the department for the Head of Engineering. Working with measurements, sketches, and diagrams (Imperial system) USA. Requirements English language- B2+ ; Russian/Ukrainian language - C1+ Confident proficiency in core engineering software AutoCAD 2D, Solidworks 3D or similar. Higher technical education (Civil Engineering, Mechanical Engineering, or a relevant engineering degree). Solid experience and a deep understanding of core engineering design principles. 2–3+ years of experience working as a project engineer with a proven track record of successfully executing complex engineering projects. Strong background working with task management systems and time-tracking software. Experience in developing internal onboarding/training materials (video instructions, checklists, technical templates) to optimize department workflows. Ability to analyze and optimize design solutions in terms of cost, time, and resources. Ability to work independently, make firm technical decisions, and proactively resolve operational bottlenecks. Ability to work with project documentation at various stages of development, including sketches, working drawings, and final specifications. Proven experience interacting with cross-functional departments (Project Managers, Estimators, CQO, Suppliers, Manufacturing, and Site Installation teams) to clarify technical requirements and resolve conflicts. Benefits Full-time, remote work. 8-hour workday without flexability 8:30am - 5:00pm EST ( NY time zone). Collaboration format: B2B (individual entrepreneur or Corporate Entity). Paid Vacation: For the first year - 5 days; for the second year and after - 10 days. Engaging projects designed in the Imperial (US) system. In-house training and mentorship programs.

Location: Los Angeles, CA Workplace: onsite About Revyz and Spin AI Revyz helps organizations protect and manage the Jira and Confluence Cloud environments their teams rely on every day. Its Atlassian Marketplace apps provide automated backup, granular recovery, and configuration management, helping administrators recover lost data and manage changes with confidence. Revyz is part of Spin.AI, a SaaS security and data protection company serving organizations that use Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian Cloud. Together, we help customers protect business-critical cloud data and reduce operational risk. Learn more at revyz.io and spin.ai. Why join Revyz now An employer with momentum. Spin.AI ranked No. 97 on Forbes’ America’s Best Startup Employers 2026 list, its third consecutive year of recognition, and was named to the 2026 Inc. 5000 list of America’s fastest-growing private companies. Recognized security and recovery technology. Spin.AI won five 2026 Global InfoSec Awards from Cyber Defense Magazine, including Market Innovator for Data Recovery and Visionary for Secure SaaS Backups. Bring your expertise to a team whose work is recognized across security and resilience. An established relationship with Google. Spin.AI’s extension risk scores are integrated into Chrome Enterprise, helping administrators assess browser extensions. Join an organization with technology embedded in enterprise security workflows, while building your own expertise and relationships in the Atlassian ecosystem. A broader security opportunity. Spin.AI acquired DoControl in September 2026, adding expertise in SaaS data access governance, data loss prevention, and insider risk. Alongside Revyz, this expands the opportunity to connect Atlassian data protection with wider enterprise security needs and deepen your experience across both.   About the role We are looking for a Senior Solutions Engineer who knows the Atlassian ecosystem and wants to help shape how enterprises protect and manage it. In this senior individual-contributor role, you will own Revyz technical engagements from discovery through the buying decision, working directly with customers, Atlassian Solution Partners, and our product and engineering teams. You will have room to design the approach, build reusable tools for the team, and turn customer insight into product improvements. This is an opportunity to combine hands-on Atlassian expertise with commercial impact and a visible role in the partner community. What You'll Do: Own enterprise customer outcomes Partner with sales and channel teams to understand how customers use Jira, Jira Service Management, and Confluence, who administers them, and what is at stake when data is lost or configurations change. Define decision criteria and qualify technical fit early. Lead tailored demonstrations, architecture discussions, and executive presentations around real Atlassian use cases: recovering a deleted work item or page, managing configuration changes, and protecting business-critical workflows. Help customers see how your recommendations improve their day-to-day operations. Own proofs of value with agreed scope, success criteria, timelines, and decision owners. Guide customers and partners through Marketplace app evaluations, resolve technical objections, and lead technical proposals and security questionnaires with the appropriate internal experts. Put your Atlassian expertise to work Develop deep expertise in Revyz and the relevant Spin.AI products while expanding your knowledge of enterprise SaaS security. Explain product capabilities, limitations, and competitive tradeoffs accurately, and distinguish supported functionality from roadmap items. Design and validate solutions around Atlassian backup and recovery, configuration management, permissions, retention, and data residency. Help administrators understand dependencies and recovery needs across Jira projects, Jira Service Management workflows, and Confluence spaces. Work hands-on in Jira and Confluence Cloud customer and demo environments to configure evaluations, investigate permissions and configuration issues, and validate recovery scenarios. Partner with engineering when deeper integration or technical investigation is needed. Build your profile in the Atlassian ecosystem Become a trusted advisor to Atlassian administrators, platform owners, enterprise architects, and security leaders. Build relationships with the people responsible for business-critical environments and help them make decisions they can defend to senior leadership. Work alongside Atlassian Solution Partners and consultants on joint customer engagements. Lead technical workshops and demonstrations, create reusable enablement materials, and help partners bring Revyz into their consulting and managed services offerings. Your expertise will help a wider network of teams succeed. Provide a clear handoff to customer success and support, documenting requirements, success criteria, and open issues. Stay close to strategic customers and partners as their Atlassian environments evolve, identifying opportunities to solve their next challenge. Shape the product and the practice Follow Atlassian Cloud developments, Marketplace apps, and partner and community feedback. Use that ecosystem perspective to inform customer conversations and competitive positioning, recommend product enhancements and new features, and improve our technical sales approach. Work directly with product and engineering to turn customer feedback into prioritized use cases. Help shape how we demonstrate, evaluate, and explain Revyz, with the opportunity to see your ideas become product improvements and resources used across the partner network. What you bring: 7+ years in solutions engineering, sales engineering, solution architecture, Atlassian consulting, or comparable customer-facing technical roles, including substantial experience leading complex enterprise evaluations or solution engagements through a buying decision. Hands-on experience administering or designing solutions for Jira and Confluence Cloud, including Jira workflows, schemes, permissions, configuration dependencies, and Confluence spaces and access controls. Familiarity with Jira Service Management and Assets is a plus. Strong knowledge of SaaS data protection and cloud security, including backup and recovery, identity and access management, encryption, retention, and data residency. Ability to discuss recovery point and recovery time objectives with technical and business stakeholders. Experience selling, implementing, or supporting cybersecurity, data protection, or backup and recovery solutions is strongly preferred. Relevant experience includes SaaS backup, ransomware resilience, recovery testing, security evaluations, or helping customers translate risk and compliance needs into practical protection plans. Excellent presentation, communication, and interpersonal skills, with the ability to engage both technical and non-technical audiences, including senior executives. Demonstrated ability to translate complex customer requirements into practical solution designs and measurable evaluation plans, explain tradeoffs clearly, and guide administrators and business stakeholders to a decision. Sound commercial judgment and the ability to manage multiple complex opportunities independently, prioritize effectively, and coordinate sales, product, engineering, and partner stakeholders. Significant experience in the Atlassian ecosystem, whether at a Solution Partner, Marketplace app vendor, or an enterprise Atlassian team. Understand how customers select and evaluate Marketplace apps and how partners support implementation, adoption, and ongoing services. Partner enablement experience and Atlassian certifications are strong pluses. A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Benefits: Unlimited PTO Hybrid Office Model Paid Holidays Premium health, dental, vision, and life insurance, 100% covered by the company 401(k) Employee Wellness Program A visible role with ownership of customer engagements, direct influence on product priorities, and opportunities to build your reputation and relationships across the Atlassian ecosystem What success looks like: Customers complete evaluations with clear evidence against agreed technical and business success criteria. Atlassian Solution Partners can confidently demonstrate, evaluate, and recommend Revyz using the technical resources you help build. Technical risks are surfaced early, and customer commitments reflect validated product capabilities. Your customer and partner insights inform product priorities, and delivery teams receive clear, actionable handoffs. Technical wins contribute to new business and expansion, with evaluation progress and outcomes documented in the CRM. Why Spin.AI? Spin.AI is a SaaS security company protecting enterprises against SaaS ransomware, shadow IT, non-compliance, and data loss in the cloud. SpinOne unifies backup and recovery, ransomware detection, SSPM, DLP, and enterprise browser security in a single console — protecting more than 2,000 organizations worldwide. Backed by K1 Investment Management, a leading investor in high-growth enterprise software Named to the Inc. 5000 list of America's fastest-growing private companies (2026) Forbes Best Startup Employer, three years running (2024–2026) Named a Representative Vendor in Gartner's Market Guide for Backup as a Service and Forrester's SSPM Landscape report

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? And are you excited to build the systems and tools to help others create a rich, innovative game? As a Staff Gameplay Engineer – Systems & Performance on teamLFG, you will be a hands on technical expert in foundational gameplay systems and game performance. You will help define and evolve the architecture, frameworks, and shared systems that gameplay engineers and content creators build upon, while driving the technical direction for performance and optimization across the game. Most importantly, you will work with a fun, dedicated, and cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Design, build and maintain production-quality foundational gameplay systems, frameworks, workflows, and tools in C++ on Unreal Engine 5 Provide technical direction for shared gameplay systems, working closely with engineers and content creators to evolve their architecture, identify risks early, and ensure they scale with our simulation and networking model Own game performance and optimization: proactively profile the game, identify systemic bottlenecks and performance risks, establish priorities, and implement optimizations directly in the codebase Establish performance practices, metrics, budgets, profiling workflows, and tools that enable engineers and content creators to understand the runtime cost of their work and optimize their own systems REQUIRED SKILLS Strong C++ skills and the ability to design, implement, debug, profile, and maintain production quality systems in a large codebase Demonstrated experience architecting and evolving large-scale gameplay systems, frameworks, or shared gameplay infrastructure, beyond the implementation of individual gameplay features Deep experience profiling and optimizing real-time games, including identifying, investigating, and resolving CPU, memory, networking, and other systemic performance bottlenecks Experience developing with Unreal Engine Strong communication and collaboration skills, with the ability to explain complex technical topics and influence technical decisions across disciplines NICE-TO-HAVE SKILLS Experience developing and shipping multiplayer games, particularly games with complex gameplay simulation and networking requirements Experience developing and optimizing games across PC and console platforms At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $172,000 — $259,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia As our business grows, and as AI is improving, we need fewer, better building blocks: less per-team glue, more self-service capabilities every team builds on, so engineers spend their time on customers instead of plumbing. This is platform engineering at Arcadia. The role could just as well be titled Developer Platform, DevEx, DevProd, or SRE. Arcadia builds and operates the petabyte-size lakehouse, and the client-facing applications that run on Kubernetes. The role will span both, reporting directly to the engineering VP. What Success Looks Like Arcadia engineers and their agents rely on platform building blocks, from services and pipelines to databases, queues, and storage, that come wired in with logging, metrics, tracing, alerts, encryption, access controls, backups, and cost tags, with sensible defaults. Teams change their own pipelines, environments, alerts, and SLOs. When something breaks, the owning team sees it first, traces it to the change that caused it, and rolls it back themselves. They see their own delivery numbers and cloud spend, and act on them. Platform upgrades reach them as a merged pull request, not a checklist. Engineers take the paved road because it's the fastest way to production, and platform engineers spend their time building capabilities, not working tickets. What You'll Be Doing Push quality attributes into the platform, especially as AI increases the volume of changes: test and regression gates, progressive delivery and fast rollback, supply-chain and policy checks in the pipeline, and cost that's visible and attributable to the teams. Run the platform as a curated internal product : find what slows teams down, pick the few capabilities worth building, publish the roadmap, and measure adoption, delivery speed, stability, and developer satisfaction. Build software : self-service APIs, templates, and golden paths for CI/CD, environments, and observability, so teams get what they need without waiting on anyone. You write a meaningful share of the code. Carry the cost of migrations : track usage, automate instead of handing out checklists, push through the final 20%, and sunset. Manage the platform's stakeholders : say yes with compromises, say no without breaking trust, bring shadow platforms back onto the paved road, and make cost visible to the teams that generate it. Set the technical direction and evolve the platform, and coach Senior Engineers through design partnership and review. What You'll Bring Both halves of platform engineering: a software engineer's instinct for clean abstractions and APIs, and a systems engineer's depth in cloud, Kubernetes, networking, and IaC. Reliability you've owned: SLOs, observability, on-call, and incident response. Customer empathy: you talk to the engineers you serve, tell a real need from a loud request, and retire what nobody uses. Big, long-running projects you've seen through: migrations pushed past the final 20%, platforms sunset on purpose, and the attention to detail both require. A clear philosophy on structuring infrastructure and delivery for security, velocity, and reliability, and the stories behind it. Current, hands-on production coding, the habit of figuring things out (research, spike, deliver), and relentless pragmatism about what's worth building. Drive to reduce toil for everyone through software. Ability to initiate and get stuff done org-wide. No healthcare background required. Would Love for You to Have Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. Experience turning an infrastructure or DevOps team into a product-minded platform team. Experience building platform support that scales: support tiers, office hours, docs, and developer advocacy. Experience making cloud and CI cost visible and actionable for the teams that generate it. What You'll Get The opportunity to own Arcadia's platform and to set its direction for years. Direct influence on how Arcadia's engineering org works on daily basis; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart, named a Built In 2026 Best Place to Work. Work that shows up in patients' lives. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The Senior Principal Software Engineer is responsible for shaping and evolving the company’s technical landscape. In addition to designing, developing, and maintaining core systems, the Senior Principal Software Engineer provides strategic guidance to align technology initiatives with business goals. This role is vital in ensuring that the platform is secure, scalable, and performant—capable of supporting rapid growth and driving innovation. RESPONSIBILITIES Technical Strategy & Architecture ● Define and drive the overarching technical vision, ensuring the platform meets current and future scalability, performance, and security needs ● Evaluate and select tools, frameworks, and architectures to maintain a state-of-the-art technology stack Leadership & Mentorship ● Provide technical leadership and guidance to the engineering organization, setting best practices and standards. ● Coach and mentor engineers, fostering a culture of continuous learning and collaboration Innovation & Research ● Investigate emerging technologies, frameworks, and best practices ● Lead prototyping initiatives and proof-of-concepts that can transform the platform’s capabilities Scalability & Performance ● Ensure the platform is designed for high performance and can seamlessly handle increasing user loads ● Oversee performance optimization, load balancing, and capacity planning strategies Reliability & Availability ● Design fault-tolerant, highly available systems that minimize downtime and deliver a seamless user experience Infrastructure Automation ● Advocate for and implement Infrastructure as Code (IaC) principles, CI/CD pipelines, and automation best practices ● Continuously refine deployment, testing, and operations processes to improve efficiency Security & Compliance ● Collaborate with security experts to ensure platform integrity, compliance with industry standards, and protection of sensitive data ● Proactively address security vulnerabilities and champion secure coding practices Cross-Functional Collaboration ● Work closely with product managers, designers, and other stakeholders to ensure technical initiatives support business objectives ● Drive alignment between engineering roadmaps and product strategies Technical Problem-Solving ● Tackle complex architectural and technical issues, providing clear direction and innovative solutions ● Serve as an escalation point for critical system challenges Code Quality & Reviews ● Uphold coding standards through thorough code reviews, ensuring high-quality, maintainable codebases ● Establish and enforce best practices around testing, documentation, and version control Documentation & Knowledge Sharing ● Produce comprehensive technical documentation, including architectural diagrams, design guidelines, and operational runbooks ● Promote a transparent engineering culture by sharing insights and successes across the organization QUALIFICATIONS ● 12+ years of software engineering experience with demonstrated expertise across multiple domains (SDLC, AI engineering, corporate systems, etc) ● Extensive software engineering experience, with a track record in designing and implementing large-scale, distributed systems ● Deep technical expertise: Proficiency in multiple programming languages, cloud platforms (e.g., AWS, Azure, GCP), and modern development frameworks ● Leadership acumen: Demonstrated ability to lead diverse engineering teams, inspire innovation, and drive successful outcomes ● Architectural vision: Proven skill in defining and driving architectural roadmaps that align with evolving business needs. ● Problem-solving ability: Expertise in diagnosing complex system issues and designing robust, scalable solutions ● Communication skills: Excellent written and verbal communication skills, capable of influencing both technical and non-technical stakeholders. ● Security conscious: Solid understanding of security best practices, compliance standards, and data protection ● Continuous improvement mindset: Passion for optimizing processes, toolchains, and workflows ● Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience As a Senior Principal Software Engineer, you will not only architect innovative solutions but also shape the technical culture. Your leadership and expertise will be pivotal in building a resilient, cutting-edge platform that supports rapid growth and drives long-term success. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $219K – $352K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

- Составлять тестовую документацию: тест-кейсы, тест-планы, чек-листы, протоколы тестирования релизов; - Изучать и оценивать требования к ПО на предмет полноты и покрытия функциональности;

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow.. As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments. RESPONSIBILITIES As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. - Ship full-stack AI systems end-to-end - Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows. - Go from ideation to code within hours; iterate quickly on experiments and data. - Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product QUALIFICATIONS - Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure. - A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures. - Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Chelsea office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab's Security Risk function is responsible for reducing risk across the security division: third-party risk (TPRM), annual security risk assessments, quarterly risk reporting, and remediation of security findings. As a Senior Security Risk Engineer, you'll take ownership of risk identification, quantification, and remediation tracking across the business, and you'll be a driving force behind automating and modernizing how the team does this work using AI and scripting. Reporting to the Security Risk Manager, you will bring expertise on risk methodology, risk-based thinking, and AI-enablement. In this role, you'll partner closely with Security, Legal, IT, Product, and Engineering to translate technical findings and vendor risk into business-relevant risk statements and risk treatments. You’ll help surface emerging risks, and report top risks to leadership. Some examples of our projects: Building and maintaining a risk register that translates technical vulnerabilities, control gaps, and third-party risk findings into quantified, business-relevant risk statements. Driving cross-functional remediation of security findings and risk issues to closure, tracked against SLAs. Driving automation and AI-enabled improvements for risk and GRC workflows so the team can spend less time on manual work and more time on high-value risk analysis and program maturity. What you'll do Own risk identification, analysis, and prioritization across third-party risk (TPRM), security risk assessments, and security findings, using an established risk framework (e.g., NIST RMF, ISO 31000, or NIST 800-39). Translate technical vulnerabilities, control gaps, and risk findings into clear, quantified risk statements that non-security stakeholders and leadership can act on. Drive remediation of findings and risk exceptions to closure, partnering with Engineering, IT, Product, and Legal, and escalating stalled or high-severity items. Mature and maintain a risk register and quarterly reporting cadence that gives leadership clear visibility into open risk, remediation progress, and trends. Own and mature AI risk management, including AI impact assessments, AI risk assessments, and risk treatments, to support ISO 42001 certification. Design, develop, and implement key risk indicators and supporting metrics for top risks in the risk register. Identify manual, repetitive steps in risk and TPRM workflows and personally build the automation, scripting, or AI-enabled tooling to remove them. Contribute to the roadmap for the risk program, incorporating new frameworks, regulatory changes, and lessons learned from past assessments. Monitor the internal and external risk landscape (new frameworks, threat trends, business changes) to identify and escalate emerging risks before they become findings. What you'll bring 5+ years of experience in security risk management, working with security-centric risk management or compliance frameworks (e.g., NIST RMF, NIST 800-39, ISO 31000). Familiarity with AI governance frameworks (e.g., ISO 42001, NIST AI RMF) is a plus. Experience designing and executing qualitative and quantitative risk analyses that translate technical risks into measurable business impact. A track record of driving risk assessments, risk registers, and remediation efforts to closure across IT, Procurement, Internal Audit, Legal, Product, and Engineering, in a heavily regulated or multi-entity environment. Experience interpreting technical control requirements and translating them for both technical and non-technical stakeholders. Demonstrated bias toward automation: you've personally built scripts, workflows, or AI-enabled tooling that reduced manual risk or GRC work, not just evaluated tools conceptually. Comfort operating with ambiguity, managing multiple concurrent assessments, and reprioritizing under tight deadlines. Exceptional written and verbal communication skills with demonstrated ability to translate security risks into business risks. Strong understanding of cloud security, SaaS security models, and DevSecOps practices. Relevant certifications (e.g., CISSP, CISM, CISA, CRISC) are preferred but not required. About the team The Security Assurance organization helps GitLab build and maintain trust by strengthening how we approach security, compliance, and risk across the company. The Security Risk team sits within that group and owns third-party risk (TPRM), security risk assessments, and remediation of security findings. The Security Risk Team performs thorough, collaborative, and efficient risk assessments as well as drive risk reduction so that GitLab can achieve its goals while maintaining a high level of security. Security Risk counterparts are Security Compliance, Security Governance and Security Enablement functions. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $189,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff SRE, Platform Engineering About the job Twilio is looking for a Staff Site Reliability Engineer to join our Platform Engineering organization. SRE owns production health and resiliency at Twilio — we are accountable for whether our services stay available, performant, and recoverable for the customers who build their businesses on us. SREs here are software engineers who focus on reliability: you will architect systems with reliability designed in from the outset, define the SLIs and SLOs that determine whether we are meeting customer expectations, and build the automation that keeps our infrastructure efficiently ahead of capacity and performance demand. At the Staff SRE you work without day-to-day guidance, applying deep subject-matter knowledge and industry-leading practice to improve the products, processes, and services that Twilio runs on. You will own the reliability posture of significant parts of our production estate. Your impact will be felt across multiple teams rather than within one. This is a hands-on engineering role. You will write and deploy code that improves service reliability, orchestrate complex changes across systems, lead the response when production is degraded, and raise the quality bar for the engineers around you. Responsibilities In this role, you’ll: Own the reliability posture of production services in your area — availability, latency, capacity, efficiency, performance, and the monitoring and alerting that makes them visible Define, instrument, and operate against SLIs and SLOs, and use error budgets to drive engineering priorities Identify trends and problem areas that threaten stability, and provide a path forward to mitigate risk before it reaches customers Drive down repair items and prevent classes of incidents rather than resolving them one at a time Improve detection, response, and recovery — reducing time to acknowledge, engage, mitigate, and restore, with fewer people pulled in Design for failure: strengthen failure domains, validate recovery paths, and make production changes safer to ship and safer to roll back Participate in on-call for the services you support, and lead the response when production is degraded Write post-mortems that identify true root causes, and drive the follow-up work to completion Oversee efforts to identify, diagnose, report, and document production problems across all reliability dimensions Write, configure, and deploy code that measurably improves service reliability — maintainable, reviewed, documented, and well tested Orchestrate complex changes across systems and services, documenting design changes, technical decisions, migration plans, and upgrades Lead debugging, troubleshooting, and analysis of service architecture and design Use code review to drive up the quality of your coworkers' code Reduce the operational overhead required to run infrastructure and services Drive projects from conception to completion for efforts spanning the concerns of your team Coordinate across programs, collaborating with others to estimate and communicate delivery timelines Break projects into milestones and tasks, track progress, and communicate updates to stakeholders Identify and communicate changes that may impact stability Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years of related engineering experience, with a substantial portion focused on reliability, infrastructure, or platform engineering Demonstrated accountability for production systems — you have carried a pager for services that mattered and owned the outcome when they failed Strong software engineering fundamentals: you build and ship production code, not only configure tooling Experience defining and operating against SLIs and SLOs, and using error budgets to inform engineering priorities Depth in production operations: incident command, post-mortem analysis, capacity planning, and observability A record of preventing recurrence — reducing incident classes and operational toil, not just closing tickets Experience driving changes that span multiple teams, and the communication skills to build alignment without formal authority A track record of improving the engineers around you through code review, design feedback, and mentorship Experience with large-scale distributed systems in a cloud environment Desired: Familiarity with infrastructure-as-code, container orchestration, and GitOps-style delivery Experience with multi-region architecture, failure-domain design, or regional expansion work Background in chaos engineering, game days, or other proactive resilience validation Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Manufacturing Engineer, you will be responsible for developing manufacturing solutions that enable new products from early design through production ramp. You will work closely with Product Design, Mechanical, Electrical, Quality, and factory engineering teams to influence product design, define assembly strategies, and develop the fixtures, tooling, equipment, and processes required to manufacture products at scale. You will apply strong mechanical design fundamentals, DFX expertise, and hands-on manufacturing experience to identify manufacturing risks early, translate product requirements into robust manufacturing solutions, and solve complex technical challenges with a high degree of independence. RESPONSIBILITIES: - Partner closely with Product Design and Mechanical Engineering throughout product development to drive DFM, DFA, and DFX, identifying manufacturing risks and influencing product designs for assembly, quality, scalability, automation, and cost. - Develop manufacturing concepts and assembly strategies from early prototypes through production, translating product requirements into practical manufacturing processes, tooling, and equipment. - Design and develop fixtures, tooling, nests, gauges, and manufacturing aids used for assembly, alignment, bonding, welding, inspection, and test. - Own fixture and tooling development from concept through detailed design, tolerance analysis, fabrication, debugging, qualification, and release to production. - Apply GD&T, tolerance analysis, datum strategies, and mechanical design principles to ensure product and fixture designs support repeatable manufacturing and measurement. - Work with product engineering teams to evaluate component interfaces, assembly sequences, joining methods, tolerance stack-ups, and other design characteristics that impact manufacturability. - Develop and qualify manufacturing processes including adhesive bonding, heat staking, mechanical assembly, and other processes used in small consumer electronic devices. - Define critical process parameters, process windows, acceptance criteria, and controls to ensure manufacturing processes consistently meet product requirements. - Evaluate manual and automated assembly approaches and develop fixture and equipment concepts that enable appropriate levels of automation. - Use DOEs, process characterization, capability analysis, and failure analysis to validate manufacturing designs and optimize process performance. - Troubleshoot complex product, fixture, and process interactions during development builds and production ramp, driving issues to root cause and implementing robust engineering solutions. - Collaborate directly with contract manufacturers, equipment vendors, and tooling suppliers to develop, review, debug, and qualify manufacturing solutions. - Provide hands-on technical support during prototype builds, engineering validation, process qualification, and production ramp. - Travel domestically and internationally up to 25% to support development builds, tooling and equipment qualification, and production ramp. QUALIFICATIONS: - Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or a related technical field. - 5+ years of manufacturing engineering experience supporting product development and moderate- to high-volume manufacturing. - Ability to operate independently in fast-paced product development and manufacturing environments with limited technical oversight. - Strong experience applying DFM, DFA, and DFX principles during product development, with demonstrated ability to influence product designs for manufacturing. - Strong proficiency in SolidWorks, including detailed mechanical design, assemblies, drawings, and fixture design best practices. - Strong knowledge of GD&T, datum structures, tolerance analysis, tolerance stack-ups, and dimensional inspection methods. - Experience developing and qualifying manufacturing processes for small electromechanical or battery-powered electronic products. - Experience with manufacturing technologies including adhesives, heat staking, injection-molded plastics, and automated and manual assembly. - Strong understanding of injection-molded plastic part design principles, tooling considerations, defect modes, and their interaction with downstream assembly processes. - Experience designing and executing DOEs, process characterization studies, capability analyses, and structured failure investigations. - Strong hands-on mechanical/electrical and analytical problem-solving skills with the ability to independently develop solutions to complex product and manufacturing challenges. - Experience working directly with contract manufacturers, equipment vendors, tooling suppliers, and cross-functional product development teams. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Participate in the entire software development lifecycle; Collaborate closely with developers and CTO to deliver high-quality software solutions;

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to the hardware Build performance and cost models for proposed architecture and algorithm changes, and use them to decide which ideas get scaled Investigate training dynamics at scale, including instabilities, divergence, and throughput regressions, and trace them to root cause Minimum qualifications Deep familiarity with modern transformer language models, including their architecture, training dynamics, and the behavior of large-scale optimization Hands-on experience training large models in a distributed setting, including the tradeoffs between data, tensor, and pipeline parallelism A track record of original technical work in ML training or systems, such as new methods, architectures, or optimizations, demonstrated through research, open-source, or production impact Ability to design rigorous experiments at scale, including baselines, ablations, and enough statistical care to trust a result that costs real compute Ability to reason quantitatively about the compute, memory, and communication costs of a model or algorithm Strong programming skills in Python and JAX or PyTorch, and comfort reading and changing code at every layer of the stack Preferred qualifications Research experience in reinforcement learning, optimization, or large-scale training, published or otherwise Experience developing RL algorithms for language models Experience with scaling laws or other quantitative models of training efficiency Experience designing or modifying transformer architectures beyond standard configurations Experience scaling training to large fleets of accelerators and debugging the problems that only appear at scale Deep understanding of numerics in large-scale training, including low-precision formats and sources of instability Familiarity with how GPU or TPU performance characteristics shape architecture and algorithm choices Experience with C++ or Rust Representative projects Characterize how a new RL algorithm's throughput and learning efficiency change from small models to frontier scale, and fix what breaks Develop a new attention variant, get it working at full scale, and measure how its quality and throughput compare to the baseline Prepare our next largest-ever RL run: find what breaks when model size, context length, and compute all grow at once, and fix it before launch Trace a loss instability that only appears past a certain scale to its root cause, and work out whether the fix belongs in the algorithm, the numerics, or the system Build a model that predicts the throughput and cost of a proposed architecture change before anyone writes the kernel 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight 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: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel Required) | San Francisco, CA 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 Data Center Security Engineering (DCSE) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it. You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes. This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow and expect you to as well. The same seat covers the team's security operations control rooms. You'll set their design and operational requirements and accept delivered systems against them, working day to day alongside the team's platform engineers, who own the software and compute that run in them. This role involves regular travel to data center sites. These are critical services, and this role participates in an on-call rotation for them. Key responsibilities Produce a vendor-ready design package for perimeter barriers and hostile vehicle mitigation, intrusion detection and its zoning, video coverage, security lighting matched to camera performance, and penetration protection: performance specifications, typical details and reference drawings, and device and zone schedules, written so a design firm can build to them and a test can prove them Define the per-site engineering basis: which requirements apply to a site based on its risk profile and the threats it faces, with compensating controls and documented deviations Write the acceptance criteria and test methods: the verification method behind each requirement and the evidence a site must produce to pass acceptance Set standoff, structural hardening, and site layout criteria for new designs, tied to the threat basis they derive from Run field verification: commissioning and acceptance testing of perimeter, detection, video, and lighting against performance criteria (detection coverage tests, photometric measurements, video quality checks) Write the operational and design requirements for security operations control rooms: console layout, wall versus workstation content, supervisor placement; room network, power, backup, and resilient communications to the team's segmentation and hardening baseline Own control room acceptance: factory and site acceptance criteria written before the build, then accept or reject delivered systems (video wall, consoles, cabling, fit-out) against them Minimum qualifications Have designed or specified physical security systems (perimeter barriers, intrusion detection, video, security lighting) for campus-scale sites: multiple buildings, a secured perimeter, many detection zones Read and produce construction documents (site plans, civil and electrical drawings, device schedules, submittals) using standard design and markup tools such as AutoCAD, Revit, or Bluebeam, and find what is missing as readily as what is wrong Write performance requirements that are testable: each states what must be true, how it will be verified, and what evidence shows it Have run commissioning and acceptance tests against performance criteria and rejected work that did not meet them Derive requirements from a threat basis rather than a product catalog: you can say which adversary a control stops and where the next weakest point is Have owned an engineering domain where you set the approach, chose what applied to each site, worked directly with vendors, and answered for the result Preferred qualifications Experience carrying a physical security design from construction documents through construction to acceptance testing Experience engineering the security scope of colocation or partner-delivered facilities Working knowledge of published standards for standoff, hostile vehicle mitigation, and intrusion detection zoning Photometric and video quality measurement experience Control room, AV, or network design experience: console layouts, video wall systems, resilient communications Experience using AI-assisted tooling for drafting and review as a core part of your workflow 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Senior Battery Systems Engineer to lead the architecture, integration, and validation of battery systems for current and next-generation wearable products. You will work at the intersection of cell chemistry, battery pack architecture, electrical engineering, mechanical design, firmware, manufacturing, quality, and supply chain to deliver safe, reliable, and high-performing battery solutions. Through hands-on experimentation, rigorous data analysis, and cross-functional technical leadership, you will advance battery technology and strengthen engineering standards across the complete product development lifecycle. RESPONSIBILITIES: - Own battery subsystem architecture, requirements, integration, and validation from early concept development through new product introduction, mass production, and sustaining engineering. - Partner with Product, Battery Cell Engineering, Electrical Engineering, Mechanical Engineering, Firmware, and other cross-functional teams to translate product goals into battery requirements, energy and power budgets, consumption profiles, verification plans, and design documentation. - Lead the integration of charging systems, fuel gauging, protection circuitry, thermal sensing, firmware controls, telemetry, system power architecture, and mechanical battery design to optimize performance, safety, reliability, and member experience. - Develop and execute comprehensive design verification and qualification strategies, including design of experiments, accelerated life testing, reliability assessments, DFMEAs, design reviews, and pack- and system-level testing. - Lead structured root-cause investigations for development, manufacturing, and field issues, using test data, field telemetry, failure trends, and analytical tools to drive objective engineering decisions and continuous product improvement. - Partner with Quality, Manufacturing, Supply Chain, external suppliers, and third-party laboratories to evaluate specifications, qualify designs and processes, establish manufacturing controls, support regulatory compliance, and assess emerging battery technologies; travel up to 15% to engage with suppliers, manufacturing partners, and testing facilities. QUALIFICATIONS: - Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Electrochemistry, or a related technical field, with 4+ years of relevant experience; an advanced degree with 2+ years of relevant experience will also be considered. - Strong understanding of lithium-ion cell chemistry, electrochemistry, battery pack behavior, degradation mechanisms, and the relationships among electrical, mechanical, thermal, and firmware systems. - Hands-on experience developing and executing test protocols for battery packs, electrical systems, printed circuit boards, or integrated hardware products. - Working knowledge of charging circuits, battery protection, fuel gauging, thermal management, battery management systems, and embedded firmware controls. - Experience using design of experiments, statistical analysis, accelerated life testing, reliability engineering, and structured failure-analysis methods to solve complex technical problems. - Ability to interpret electrical schematics, mechanical CAD models, tolerance analyses, engineering drawings, and GD&T callouts. - Strong cross-functional leadership and technical communication skills, with the ability to navigate ambiguity, articulate engineering risks and trade-offs, and collaborate effectively with internal teams and external partners; experience with space-constrained consumer electronics or high-volume battery manufacturing is preferred. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Site Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. Requirements Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Обязанности: Тестирование мобильных приложений (Android/iOS) в продакшен-окружении: функционал, интеграции, UI. Локализация ошибок, мониторинг продов и составление понятных баг-репортов.