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Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why the Kubernetes Automation Domain? Kubernetes Automation is Cast AI's core: a family of product teams that turns optimization into real infrastructure. Together, they own the full loop — deciding which nodes to run and where, provisioning them across EKS, GKE, AKS, and our own Cast AI Anywhere, optimizing the workloads on top, and reshaping it all continuously as conditions change. No manual tuning: automation makes the call and makes it happen. The scale is the point. When demand spikes, the platform brings up 15,000 nodes in a single cluster and gets every pod scheduled in under 45 minutes — and tears a cluster of that size back down in under 15 minutes — across multiple clouds at once, mixing instance types and spot capacity in a single operation. Across a fleet of thousands of customer clusters, our teams make the same high-stakes Kubernetes decisions — add this node, drain that one, move that workload, is this change safe — thousands of times a day, and each one has to land cleanly. The problems sit at the intersection of Kubernetes internals and cloud-provider behavior, and much of the territory is undocumented. One team might be writing scaling algorithms, another reverse-engineering managed control planes, another migrating running containers between nodes without disruption. The common thread: deep Kubernetes knowledge, strong infrastructure fundamentals, and the judgment to own high-stakes automation in production. If you have that, you can lead any of these teams — you'll be matched with the team that best fits your strengths and interests during the hiring process. Role overview We are looking for a hands-on Engineering Manager to join one of our Kubernetes Automation teams. It is a hybrid role: you will manage a team and spend at least half your time in the product code. Responsibilities as an Engineering Manager You own product development execution. Lead, mentor, and grow a team of talented software engineers Collaborate closely with the Product Owner and stakeholders to align on requirements and roadmaps Ensure quality, scalability, and resilience in all deliverables Foster a culture of continuous improvement, innovation, and technical excellence Be the role model and champion of Cast AI core values Responsibilities as a Software Engineer You will work in a highly skilled team across the full development lifecycle. Take on scaling challenges at fleet level Participate in feature brainstorming, requirement gathering, and solving customer needs Design and architect software for scalability, maintainability, and performance Write clean, maintainable, documented code using best practices Ensure reliability through test coverage and local testing Contribute to CI/CD pipelines and the monitoring and alerting stack Respond to incidents to resolve customer issues or service disruptions Support the team's code (on-call week every few months) Requirements Proven experience managing and leading a technical team Strong software engineering skills Strong verbal and written communication skills In-depth knowledge of Kubernetes and experience managing multi-cloud environments (AWS, GCP, Azure) Knowledge of cloud-native infrastructure, APIs, and cloud-provider-specific implementation differences Hands-on experience with IaC tools such as Terraform Proficient in designing and managing CI/CD pipelines (GitLab CI, ArgoCD) with a GitOps approach Strong analytical, problem-solving, and troubleshooting skills What's in it for you? Competitive salary (up to €10,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity, we hire from: Bulgaria, Croatia, Cyprus; Estonia, Finland, Greece, Hungary, Ireland, Latvia, Lithuania, Malta, Moldova, Montenegro, North Macedonia, Poland, Romania, Slovakia, Slovenia, Sweden and Ukraine. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for engineers to join the team building Spark, a lightweight implementation of Supabase written in Rust. It runs on an embedded SQLite-based engine with a Postgres-compatible SQL layer, and ships a PostgREST and Auth compatible API, so applications written against @supabase/supabase-js work as-is. It exists because AI builders and platform partners need a database they can give to every prototype without the cost or the wait: sub-second provisioning, a footprint small enough to run inside a sandbox, and an upgrade path to full Supabase when an app graduates to production. This is a role with a lot of agency. Small team, working product, patterns still to be set. You'll own large areas end to end and make real decisions from day one. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Grow API compatibility with the Supabase client, keeping behavior faithful to hosted Supabase and backed by conformance tests - Bring more of the Supabase stack to Turso/SQLite - Find and work around gaps in the underlying database engine, with minimal repros and tests - Build and harden the path for upgrading a project from Spark to full Supabase - Own the developer experience end to end: the CLI, local tooling, and docs - Build and harden the hosted offering while keeping the low cost structure in mind, kept loosely coupled so the implementation can be swapped without a rewrite - Work directly with design partners and turn real-world migration and integration friction into a sharper product - Engage with the open-source community and contribute back to the broader Supabase stack YOU MIGHT BE A GOOD FIT IF YOU - Have substantial backend or full-stack experience with strong fluency in Rust, have shipped production Rust, and have built or contributed to a backend system, framework, or developer platform before - Are a strong generalist, comfortable moving across the stack from API design to storage internals to infrastructure, and picking up whatever the problem needs - Read unfamiliar code without friction. A lot of the work means studying reference implementations in other languages, such as GoTrue in Go, PostgREST in Haskell, and matching their behavior in Rust - Have a solid grounding in SQL and relational databases, experience working close to a database engine (transactions, MVCC, type systems), and the curiosity to dig into where Postgres and SQLite differ - Know Postgres well enough to use it as the reference for correct behavior - Have run services under tight resource limits (multi-tenant, serverless, or embedded) - Have a bias toward compatibility and correctness, and reach for tests and specs to prove behavior - Think around corners. When everyone reaches for the standard playbook, you look for the simpler path that fits a smaller box. You break a complex system down to the 20% that covers 80% of the need, then make it run somewhere far smaller than it was designed for - Care about developer experience: clean APIs, fast feedback loops, and tooling that makes the right thing the easy thing - Are comfortable owning ambiguous, early-stage work and making sound calls that inform and define the spec. This is a founding role on a brand-new team - Are comfortable working in public repositories on a remote, async team - Communicate clearly in writing - Bonus: experience with the Supabase stack, building developer CLIs, a track record of open-source maintenance, or contributions to Rust database or web projects WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Europe Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    About the team   We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions. Responsibilities - Enable efficient data access by creating and maintaining data pipelines. - Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process. - Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics. - Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes. - Design new and improve current patterns for building data models and implement necessary modifications. Requirements - 5+ years of experience in data engineering or in a similar role. - Extensive experience with Apache Spark using Python for large-scale data processing. - Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage. - Experience with AWS, Azure, or other Kubernetes platforms is a huge plus. - Must have hands-on expertise with Git for version control and collaboration. - Solid knowledge of SQL, essential for querying and managing relational databases. Salary ranges: 55000-72 000 eur gross annually What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Fayetteville, AR; Joplin, MO; Kansas City, MO; Lincoln, NE; North Kansas City, MO; Omaha, NE; Overland Park, KS; Springfield, MO; Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Be part of a team that keeps the energy flowing! Our work environments are routinely recognized as local “Best Places to Work” and foster a high performing environment where professionals grow, collaborate, and excel. On Olsson’s Substation & Power Generation team, you’ll help design systems that safely and reliably deliver power to communities. Our work strengthens mission critical infrastructure and supports a more sustainable energy future through renewable energy innovation. As an Associate Engineer, you’ll support substation design projects, working with experienced engineers to develop your technical skills and contribute to high ‑ quality project deliverables. What You’ll Do Assist with design, modeling, and analysis of substation projects Support senior engineers with drawings, calculations, and studies Collaborate with multidisciplinary teams Participate in site visits and construction support Prepare technical reports and project documentation Grow through hands ‑ on learning, mentorship, and training Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills Ability to contribute and work well with a team Excellent interpersonal and problem-solving skills Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or a related engineering discipline Minimum of one year of engineering experience Engineer Intern (EI) certification, preferred. Experience with Revit, AutoCAD, and/or MicroStation preferred Strong interest in substation design and high ‑ voltage electrical infrastructure #LI-DNP Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

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 and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   WHOOP is hiring a Software Engineer II focused on backend development to build and enhance systems that power our platform. This role will directly contribute to delivering scalable and secure services that support millions of members worldwide. While backend development expertise is the primary focus, familiarity with cybersecurity concepts (data privacy, AuthN/AuthZ, etc) or cloud infrastructure concepts (AWS, IaC, Kubernetes, etc) will be considered a strong plus.   This is a top-funnel role: depending on your background and interests, you may align more closely with our Product Security team (focused on secure-by-default guardrails, compliance, and data privacy) or our Application Infrastructure team (focused on scalability, reliability, and developer enablement). Either way, you’ll have the opportunity to shape core platform practices and help WHOOP grow to the next level. RESPONSIBILITIES: - Design, develop, and maintain robust, scalable backend systems that power WHOOP’s core infrastructure and member experience. - Collaborate with product managers, data engineers, frontend developers, and other cross-functional partners to deliver features that enhance member engagement. - Build and maintain APIs to enable seamless integration with frontend applications and third-party services. - Ensure system reliability, scalability, and performance through effective testing, monitoring, and optimization. - Implement secure coding practices and contribute to designing systems that safeguard member data. - Stay current with backend technologies and contribute to improving team engineering standards and best practices. QUALIFICATIONS: - 2-4 years of backend software development experience, ideally in languages like Java, Python, or C#. - Experience designing and building RESTful APIs and microservices. - Exposure to event-driven architecture (messaging/streaming tech such as Kafka, RabbitMQ). - Familiarity with database design and management (e.g., PostgreSQL, MySQL, or NoSQL databases). - Understanding of cloud infrastructure (AWS, GCP, or Azure). - Familiarity with cybersecurity principles (data privacy, authentication, and authorization) is a plus but not required. - Strong problem-solving skills and ability to work in a fast-paced environment. - Good communication skills and ability to collaborate across teams. BONUS QUALIFICATIONS: - - Experience working with infrastructure as code and developer enablement platforms. - Familiarity with containers and orchestration (e.g., Docker, Kubernetes). - Background in cloud security or incident response. - Exposure to building translation or localization platforms to support multi-language content delivery. - Hands-on experience with observability tools (logging, monitoring, alerting) in production environments. ABOUT YOU - You thrive on ownership and want to shape the foundation of WHOOP’s platform. - You automate everything you can, always seeking to replace manual work with scalable tooling. - You enjoy working cross-functionally and can communicate complex infrastructure and security topics clearly. - You believe reliability, security, and visibility are just as important as speed and scale. Learn more about our engineering teams and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   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 http://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 $125,000 - $175,000. 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.

Location: Henderson, Australia We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions.  This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. We are seeking an experienced Estimating Subject Matter Expert (SME) to join our team in Henderson, Western Australia. This is a pivotal position responsible for leading the development of high-quality cost estimates, providing commercial insight, and supporting strategic bid activities across complex projects and tender opportunities. As the organisation's estimating authority, you will partner closely with Operations, Engineering, Commercial, Finance, Procurement, and Legal teams to deliver accurate, transparent, and competitive estimates that support informed business decisions and sustainable growth. If you thrive in a fast-paced bid environment, enjoy turning complex opportunities into winning commercial strategies, and have a passion for mentoring others, we'd love to hear from you. About the Role The Senior Estimator will be accountable for the end-to-end development, review, presentation, and approval of project estimates while providing commercial analysis and strategic input throughout the tender lifecycle. You will play a key role in maintaining estimating standards, improving estimating capability across the business, and ensuring estimates are robust, defendable, and aligned with organisational processes and objectives. Key Responsibilities Estimating Leadership Lead the preparation and development of detailed project estimates to required levels of accuracy and detail. Analyse tender documentation, specifications, scopes of work, and project requirements. Develop, document, and manage the Basis of Estimate (BOE) process. Facilitate and chair estimate review sessions and approval workshops. Present estimates and supporting documentation to internal approval committees. Develop estimating strategies and plans for major tender opportunities. Plan, schedule, and lead estimate reviews and bid presentations. Ensure compliance with internal estimating processes, procedures, and governance requirements. Promote the use of standard estimating systems, tools, and methodologies. Proactively manage bid timelines and maintain visibility of progress across stakeholders. Support the ongoing maintenance of estimating databases, productivity benchmarks, escalation indices, and historical cost information. Mentor and develop estimating team capability through coaching, guidance, and technical support. Cost Analysis & Commercial Insight Produce detailed cost analysis and reporting to support business decisions and approval outcomes. Liaise with Engineering, Procurement, Finance, Legal, Tax, Operations, and external suppliers to develop accurate project cost models. Act as the custodian of estimate accuracy, transparency, and cost visibility. Develop and maintain standard labour rates for white-collar and blue-collar resources. Produce location-based resource rate cards and benchmarking data. Conduct detailed productivity, quantitative, and cost analysis. Participate in contract rate reviews and repricing exercises. Develop cost models and pricing structures from customer value propositions. Maintain benchmarking databases and market intelligence to support future opportunities. Commercial Strategy & Bid Support Develop detailed cash flow and financial models. Evaluate supplier and subcontractor quotations. Conduct qualitative and quantitative risk assessments. Perform tender and project SWOT analyses. Develop innovative and commercially competitive pricing strategies. Support tender clarification processes, reviewing operational, legal, and commercial deviations and providing recommendations. Conduct Win/Loss Analyses (WLA) with clients and stakeholders to drive continuous improvement. Lead project handovers for awarded contracts, ensuring smooth transition from bid phase to project execution. Requirements About You To be successful in this role, you will bring: Essential Experience Proven experience as an Estimator with Mechanical, Electrical, or Industrial experience Significant experience in estimating, commercial analysis, quantity surveying, project controls, or cost engineering roles. Proven experience developing and reviewing estimates for complex projects, tenders, or programs. Strong understanding of estimating methodologies, cost modelling, benchmarking, and risk analysis. Demonstrated ability to influence senior stakeholders and present commercially sound recommendations. Experience working within multidisciplinary project environments. Advanced analytical and problem-solving skills. Strong communication, presentation, and stakeholder engagement capabilities. High attention to detail with a commitment to accuracy and quality. Desirable Experience within Defence, Marine, Shipbuilding, Engineering, Construction, Infrastructure, Resources, or Industrial sectors. Knowledge of tendering and contracting frameworks. Experience developing cash flow models and business case analysis. Familiarity with estimating software and project controls systems. Tertiary qualifications in Engineering, Quantity Surveying, Commerce, Finance, Construction Management, Project Management, or a related discipline. Benefits Why Join Us? Work on high-profile and technically complex projects. Be recognised as a key technical and commercial leader within the business. Collaborative and supportive team culture. Opportunity to influence major tender and business growth decisions. Professional development and career progression opportunities. Convenient Henderson location with onsite parking. Apply Now If you're a commercially minded estimating professional who can combine technical expertise with strategic thinking and wants to play a critical role in winning and delivering major projects, we'd love to hear from you. Apply today and help shape the future success of our projects and bids. Why EnerMech? When you join EnerMech, you're joining a company that values expertise, encourages innovation, and supports its people. You’ll be part of a collaborative team that’s focused on delivering results – safely, efficiently, and with integrity. Ready to energize your career? Apply now and be part of something bigger. EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities.

Location: Canada Wide - Excluding Quebec; Texas - Remote; Colorado - Remote; Florida - Remote; Utah - Remote; Washington - Remote; USA; North Carolina - Remote; Georgia - Remote Workplace: Remote - Location: This role can be based anywhere in Canada (excluding Quebec) as a fully remote position. For candidates located in the Vancouver, BC Lower Mainland, there is flexibility to work remote, hybrid, or onsite at our Surrey headquarters. This role is also open to candidates in the USA as a fully remote position. - Please note that employment is contingent upon the successful completion of reference checks and background checks. Safe Software is looking for a VP, Revenue Operations to join our Revenue Operations team. As VP, Revenue Operations, you will design and enforce the operating model our entire go-to-market organization runs on, reporting directly to the Chief Revenue Officer and presenting regularly to the board. This is a builder’s mandate: the CRM isn’t fully configured, the forecasting process is mostly informal, the Rules of Engagement are still being written, and the AI tooling stack is unevaluated. You’re not fixing a broken system — you’re building the one Safe’s revenue org will run on for years. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As a part of the Revenue Operations team, you’ll build and lead a function that’s still taking shape — RevOps analysts, a Sales Enablement team, and a broader GTM Enablement capability, five to seven hires in total. Safe builds FME, the only All-Data, Any-AI Enterprise Integration Platform, trusted by 25,000+ enterprise customers in 125+ countries to bring their data to life. Profitable, growing, and scaling toward $250M ARR with a clear path to $700M, Safe is building a multi-motion revenue engine — direct field, inbound and outbound BDR, partner channel, EMEA, and Canada — and it needs a single operating authority to keep those motions from colliding. That’s this role. You’ll report to the CRO and work daily with VP Sales East, VP Sales West, and the EMEA leader, each of whom has strong opinions and moves fast. WHAT YOU’LL BE DOING As VP, Revenue Operations, you will operate at all altitudes — one week presenting forecast accuracy to the board, the next telling a VP Sales their deal doesn’t meet the bar to advance stage, regardless of how the conversation started. Both are the job. RULES OF ENGAGEMENT — OWNERSHIP & ACCOUNTABILITY - Write the rules everyone will actually operate inside. Safe is building a multi-motion revenue engine — direct field, inbound BDR, outbound BDR, partner channel, EMEA, Canada — and without clearly defined and enforced Rules of Engagement, those motions conflict, accounts get double-touched, partners get burned, and trust between functions collapses. You write it, socialize it across every stakeholder (including strong-willed VP Sales leaders who will push back), get it approved by the CRO, and enforce it through process design and CRM configuration. - Define territory and account ownership. Who owns what account, what happens at renewal, how partner and direct conflict is resolved, and what triggers an escalation to the CRO. - Set lead routing and BDR handoff standards. How inbound and outbound leads are qualified, assigned, accepted, and rejected, with SLA definitions for each stage and accountability for every gate. - Design the partner co-sell and channel conflict policy. Clear rules for when the partner leads, when direct leads, and how sourcing credit is allocated, reviewed and agreed with the Partner Leader and EMEA Leader at launch. - Hold the qualification gates. Define MEDDPICC field requirements by stage, what must be true before a deal advances, and what RevOps will kick back regardless of who is asking. GTM ENABLEMENT - Close the ramp gap. At Safe’s current hiring pace across AEs, BDRs, SEs, CSMs, and partners, the difference between a 30-day ramp and a 90-day ramp is a material revenue number — this role owns closing that gap. - Build the function, not just the content. The Sales Enablement team reports directly into this role. You’ll build it, hire against a capability scorecard, and hold the team accountable to ramp and productivity outcomes, not just content creation. - Design role-based onboarding. Structured, milestone-gated onboarding tracks for every GTM role — AE, BDR, SE, CSM, and partner — with clear ready-to-carry-quota certification criteria and a defined ramp timeline per role. - Own the sales methodology and playbook. The single source of truth for how Safe sells — pitch structure, discovery framework, objection handling, competitive positioning, and deal execution standards — updated quarterly with input from the field and calibrated against win/loss data. - Turn Gong data into a coaching loop. Use Gong and other tooling to create a systematic feedback loop from deal recordings and call reviews to enablement content updates, so the playbook reflects what actually wins, not what the last training deck said. REVENUE ARCHITECTURE & AI-NATIVE GTM STACK - Give the CRO one version of the truth. Build the weekly, monthly, and quarterly forecasting process — call accuracy, coverage ratios, deal velocity — so the CRO walks into every board meeting with zero surprises. - Own the numbers that matter. Pipeline model, funnel metrics, win-rate analytics, rep productivity, CAC payback, and NRR by segment and vertical, owned by you, trusted by the board. - Evaluate and integrate the AI-native GTM stack. CRM (HubSpot), conversation intelligence (Gong), outbound automation, intent data, and agentic AI workflows — owning use-case prioritization, adoption, and value realization across the revenue org. AI architecture, security review, and governance decisions are made in partnership with IT and Engineering. - Enforce data governance with teeth. Own the data model in CRM, ensuring field hygiene, account hierarchy, and MEDDPICC field consistency across every pod, globally. EXECUTIVE LEADERSHIP & CROSS-FUNCTIONAL AUTHORITY - Earn credibility through data, not hierarchy. Working with high-performing, highly opinionated VP Sales leaders is a feature of this role, not a bug — you’ll push back on a VP Sales who wants to move a deal to the wrong stage, enforce an ROE that a regional leader finds inconvenient, and do it in a way that preserves the relationship. - Present to the board and hold up under questioning. You’ll present pipeline health, forecast accuracy, and GTM efficiency metrics directly to Safe’s board — output that’s clear, accurate, and defensible, from someone who can handle hard questions from investors without flinching. - Own the cross-functional cadence. Finance, Marketing, CS, Product, and Legal all have legitimate interests in how the GTM org operates — you mediate those interests and own the QBRs, planning cycles, and headcount models that keep the org moving in the same direction. LEADERSHIP & IMPACT This is single-threaded ownership of the operating system, not a shared function. You set the Rules of Engagement, own the forecasting methodology, and hold budget and vendor authority over the RevOps and Enablement tooling stack. When a VP Sales and the model disagree, the model doesn’t move without your sign-off — and you carry that authority directly to the CRO and, on a regular cadence, to the board. - The board stops asking why the number moved. Forecast accuracy becomes predictable enough that variance is the exception the CRO has to explain, not the norm. - The rules hold under pressure. Rules of Engagement survive contact with a strong-willed VP Sales who wants an exception — and when they don’t, that’s a deliberate call you made, not a gap they found. - RevOps becomes a real team. What starts as a single-person mandate becomes a functioning function of RevOps, Enablement, and analytics talent that other departments route through by default. - GTM tooling delivers measurable outcomes. AI and automation investments are evaluated against clear success criteria — rep productivity, pipeline data quality, forecast accuracy, and adoption rates — before scaling. Pilots that don't meet the bar are discontinued; those that do are operationalized. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. Required skills: - 10–15+ years in Revenue Operations, Sales Operations, or GTM Strategy at a scaling B2B SaaS company, at VP or Senior Director level with direct board-level exposure - Experience building and enforcing a Rules of Engagement framework across multiple GTM motions, including the hard conversations with sales leaders who push back - A track record presenting pipeline health, forecast, and GTM efficiency metrics directly to a board or equivalent investor group - Experience holding strong field sales leaders accountable through data and rigor rather than hierarchy - People leadership experience — hiring, developing, and holding accountable a multi-functional team spanning RevOps analysts and sales enablement - Ownership of the full RevOps stack — CRM architecture, forecasting model, territory design, quota mechanics, and tooling evaluation - Strong analytical range: comfortable building a bottoms-up coverage model, explaining CAC payback to a CFO, and translating rep-level data into a board-ready narrative - Hands-on experience evaluating, piloting, or deploying agentic workflows or AI-assisted tooling in a live GTM environment — including the ability to assess feasibility, data readiness, and security requirements before committing to production - Deep HubSpot or Salesforce architecture experience, including data model and process enforcement design - Effective communication skills Desired skills / Bonus points: - Background in data, infrastructure, or integration software - Experience with MCP, Salesforce Agentforce, Clay, or similar agentic GTM infrastructure at production scale - Experience navigating a PE-backed or founder-owned growth inflection from $100M to $250M+ - Familiarity with partner channel economics and co-sell Rules of Engagement design - Experience building a RevOps function from solo operator to a team of 3–5 - A Bachelor’s degree in a related field, or equivalent combination of education and experience ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: 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 team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. Key responsibilities Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty Minimum qualifications Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction) Have demonstrated breadth across multiple areas of computational biology Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on Communicate computational results clearly to both biologists and ML researchers Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Are results-oriented, with a bias towards flexibility and impact Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are building out a Object Storage team to build and maintain a object storage product for our millions of users. This is a very early stage product, so we’re looking for people who have built this out before and can evolve object storage over time. While we are starting with basics, we expect our customer’s needs will continue to evolve and the product needs will as well. User experience is our primary focus and drives everything we do. As a product engineer at Render, you will take complete, end-to-end ownership of full stack projects. You should already have experience building a storage platform. WHAT YOU'LL DO - Operate and maintain the object storage fleet. - Collaborate closely with design, product, other engineers, and cross-functional stakeholders. - Help evolve and mature the Render storage product as it scales and increases in complexity over time. - Participate in team planning, roadmapping, and goal-setting. - Help shape team culture and practices as the company scales. - Help evolve the storage product with new capabilities. - Participate in on-call responsibilities with the rest of your team. WHAT WE'RE LOOKING FOR - 6+ years of professional experience shipping software. Bonus points if you’ve excelled at a small, high-growth startup. - Experience collaborating with product and design stakeholders. - Strong sense of ownership and ability to make pragmatic decisions about your work. - Comfort with working in a distributed system. - Experience operating a storage product at scale. - Familiarity with modern tooling for software build and deploy processes. NICE-TO-HAVES - Experience wearing multiple hats and working across the stack, both collaboratively and independently. - Strong understanding of web frameworks, APIs, and databases, and experience working with multiple programming languages. - Familiarity building for product-driven growth and modern enterprise audiences. - Experience with any of the technologies the Render product runs on: Go, Typescript, React, Kubernetes, Postgres, Terraform, Temporal. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. Our Key/Value team operates and maintains our KV product for a very large number of our millions of users. Running stateful services at scale is challenging, and we continue to add new features as our customers’ needs evolve. User experience is our primary focus and drives everything we do. As a product engineer at Render, you will take complete, end-to-end ownership of full stack projects. You should already have experience building a Key/Value platform. WHAT YOU'LL DO - Operate and maintain the Render KV fleet. - Collaborate closely with design, product, other engineers, and cross-functional stakeholders. - Help evolve and mature the Render KV product as it scales and increases in complexity over time. - Participate in team planning, roadmapping, and goal-setting. - Help shape team culture and practices as the company scales. - Help evolve the KV product with new capabilities. - Participate in on-call responsibilities with the rest of your team. WHAT WE'RE LOOKING FOR - 6+ years of professional experience shipping software. Bonus points if you’ve excelled at a small, high-growth startup. - Experience collaborating with product and design stakeholders. - Strong sense of ownership and ability to make pragmatic decisions about your work. - Comfort with working in a distributed system. - Experience operating a KV datastore at scale. - Familiarity with modern tooling for software build and deploy processes. NICE-TO-HAVES - Experience wearing multiple hats and working across the stack, both collaboratively and independently. - Strong understanding of web frameworks, APIs, and databases, and experience working with multiple programming languages. - Familiarity building for product-driven growth and modern enterprise audiences. - Experience with any of the technologies the Render product runs on: Go, Typescript, React, Kubernetes, Postgres, Terraform, Temporal. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are building a new systematic, mid-frequency trading business at DRW. The strategy combines diverse data, modern machine learning, and high-performance software systems to identify and trade opportunities at scale. This is an early-stage effort within an established trading firm: the team has the opportunity to design its technology and research platform from the ground up while benefiting from DRW's capital, data, compute infrastructure, market access, and institutional experience. We are a small, fast-moving team of quantitative researchers and developers. Engineers are not a support function—they are central to how we conduct research, put strategies into production, and build a lasting competitive advantage. About the Role: As a Quantitative Developer / Research Engineer, you will be an early member of the team with meaningful ownership of its systems, research tooling, and engineering practices. You will work closely with experienced researchers and trading-system engineers across the team and the firm, combining substantial autonomy with strong technical mentorship. You will work at the intersection of quantitative research and software engineering, turning research ideas into reliable systems that trade. The ideal candidate combines strong software engineering fundamentals with an interest in quantitative research, machine learning, and data-intensive systems. This role will require you being in the NY office 5 days per week. You will: Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs Work closely with quantitative researchers to implement studies, test hypotheses, and translate promising ideas into robust production systems Develop and productionize statistical and machine learning models, owning the workflow from feature generation and training through backtesting, deployment, and live monitoring Build reliable data infrastructure for large historical and real-time datasets, with an emphasis on point-in-time correctness, reproducibility, performance, and ease of use Improve the performance and scalability of computationally intensive research and production workloads Contribute to foundational architecture and engineering decisions, working with experienced trading-system engineers to establish the development practices, testing standards, and operational processes the team will use as it grows Take systems and strategies from prototype to production and remain accountable for their reliability once they are live Because the team is still early, the scope is broad and the feedback loop is short. You will have the opportunity to take on meaningful responsibility early, while learning from people with deep experience in quantitative research, trading-system architecture, and production trading. What You Bring: A bachelor's, master's, or PhD degree in computer science, computer engineering, or another technical field At least two years of experience developing production software, primarily in Python and/or C++, with the ability and willingness to work across languages when needed Strong computer science fundamentals and sound instincts in software design, debugging, testing, and performance analysis The ability to enter an unfamiliar system, develop a clear mental model of it, and identify practical ways to improve its reliability, simplicity, and performance Fluency in a UNIX/Linux environment and a working understanding of operating systems, concurrency, networking, and system performance A track record of scoping and delivering production systems in fast-moving or ambiguous environments High ownership, good judgment, and a bias toward action—you identify risks early, reduce unnecessary complexity, and take pride in building systems that others rely on Clear communication and a collaborative working style, particularly when working across research and engineering disciplines Experience in trading or finance is not required. We value strong engineering and problem-solving ability and will provide the domain-specific training needed to succeed. Nice to Have: Experience developing deep learning systems with PyTorch Experience with GPU computing, kernel development, distributed training, or performance optimization Hands-on experience building and operating machine learning or data pipelines in production Experience developing large-scale, concurrent, high-throughput, or performance-sensitive systems A strong foundation in mathematics, statistics, optimization, or machine learning Experience building tools and infrastructure for quantitative researchers, data scientists, or similarly technical users Why This Role: Build from an early stage — Help shape a new systematic trading business, with broad scope, short feedback loops, direct influence over how the team operates, and the opportunity to share in its success Autonomy with mentorship — Make meaningful technical decisions while learning from experienced researchers and trading-system engineers across the team and the firm Broad, end-to-end ownership — Take systems from research and development through deployment and live trading, working across software, data, machine learning, and financial markets AI-native engineering — Work in an environment where AI-assisted coding, testing and research are deeply embedded in the development workflow The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do. REPRESENTATIVE PROJECTS - Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on. - Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on. - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically. - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features. WHAT YOU'LL DO - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products. - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge. WHAT YOU HAVE - 6+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams. - Experience building and shipping multi-model or multi-provider AI systems in production. - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters. - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability. - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally. - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real. - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems. - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly. COMPENSATION $193,400 - $290,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AK1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy. The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do. REPRESENTATIVE PROJECTS - Context Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on. - Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on. - Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically. - Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features. WHAT YOU’LL DO - Design and build abstractions and platform-level systems that improve all of Harvey’s agentic products. - Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. - Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. - Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. - Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge. WHAT YOU HAVE - 10+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering and a track record of technical leadership across teams. - Experience building and shipping multi-model or multi-provider AI systems in production. - Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters. - A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability. - Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally. - Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real. - A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems. - Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly. COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AK1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Lappeenranta, Finland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Mechanical Operations Technician is responsible for the safe, reliable, and efficient operation, inspection, maintenance, and repair of mechanical systems supporting a mission-critical data center in Lappeenranta, Finland. Working as part of a 24/7 Critical Facilities Operations team, the technician ensures maximum equipment availability while supporting the site's commitments to energy efficiency, sustainability, and operational excellence. Key Responsibilities Critical Facilities Operations Operate and monitor mechanical infrastructure using the Building Management System (BMS) and routine field inspections. Respond to alarms, equipment faults, and operational events in accordance with Standard Operating Procedures (SOPs) and Emergency Operating Procedures (EOPs). Record equipment readings, operating parameters, and shift activities. Support planned switching operations and maintenance windows. Mechanical Maintenance Perform preventive, predictive, and corrective maintenance on mechanical equipment. Troubleshoot mechanical failures and carry out repairs or coordinate vendor support. Assist with commissioning, recommissioning, and integrated systems testing. Maintain accurate maintenance records using the Computerized Maintenance Management System (CMMS). Mechanical Systems Operate and maintain systems including: Chilled water systems CRAH and CRAC units Chillers Air Handling Units (AHUs) Pumps and hydronic distribution systems Heat exchangers HVAC systems District cooling and heat recovery systems (where applicable) Water treatment systems Mechanical valves and piping Expansion vessels and pressure systems Health, Safety & Compliance Work in accordance with Finnish occupational safety legislation and EU health and safety requirements. Follow Permit to Work (PTW), Lockout/Tagout (LOTO), and risk assessment procedures. Use appropriate Personal Protective Equipment (PPE). Participate in emergency response activities and incident investigations. Promote a strong safety culture and environmentally responsible work practices. Qualifications Education Vocational Qualification (Ammatillinen perustutkinto) or Bachelor's degree in Mechanical Engineering, HVAC, Building Services Engineering, Industrial Maintenance, or a related technical discipline. Equivalent technical or military experience may also be considered. Experience 2–5 years of experience maintaining mechanical systems in data centers, industrial facilities, manufacturing, hospitals, power generation, or other critical environments. Experience with Building Management Systems (BMS) and CMMS software is preferred. Technical Skills Knowledge of: HVAC and cooling systems Chilled water and hydronic systems Pumps, motors, and heat exchangers Mechanical fault diagnosis Building Management Systems (BMS) Computerized Maintenance Management Systems (CMMS) Mechanical drawings and Piping & Instrumentation Diagrams (P&IDs) Energy-efficient building systems Preferred Qualifications Occupational Safety Card (Työturvallisuuskortti) Hot Work Card (Tulityökortti) First Aid Certificate (EA1 or equivalent) Refrigerant handling qualification (where applicable) Fluent English (written and spoken) Finnish language skills are beneficial but not essential Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. Our Postgres team operates and maintains our Postgres product for a very large number of our millions of users. Running stateful services at scale is challenging, and we continue to add new features as both Postgres and our customers’ needs evolve. User experience is our primary focus and drives everything we do. As a product engineer at Render, you will take complete, end-to-end ownership of full stack projects. You should already have experience building a Postgres platform. WHAT YOU'LL DO - Operate and maintain the Render Postgres fleet. - Collaborate closely with design, product, other engineers, and cross-functional stakeholders. - Help evolve and mature the Render Postgres product as it scales and increases in complexity over time. - Participate in team planning, roadmapping, and goal-setting. - Help shape team culture and practices as the company scales. - Help evolve the Postgres product with new capabilities. - Participate in on-call responsibilities with the rest of your team. WHAT WE'RE LOOKING FOR - 6+ years of professional experience shipping software. Bonus points if you’ve excelled at a small, high-growth startup. - Experience collaborating with product and design stakeholders. - Strong sense of ownership and ability to make pragmatic decisions about your work. - Comfort with working in a distributed system. - Experience operating Postgres at scale. - Familiarity with modern tooling for software build and deploy processes. NICE-TO-HAVES - Experience wearing multiple hats and working across the stack, both collaboratively and independently. - Strong understanding of web frameworks, APIs, and databases, and experience working with multiple programming languages. - Familiarity building for product-driven growth and modern enterprise audiences. - Experience with any of the technologies the Render product runs on: Go, Typescript, React, Kubernetes, Postgres, Terraform, Temporal. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Prague, Czech Republic About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python. You’re welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely. In this position, your responsibility will be to: Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more. We expect you to have: 5+ years of professional software engineering experience Excellent knowledge of Golang or you are ready to quickly switch to this programming language Ability to write reliable code and dig into complex problems Teamwork-oriented approach It would be an added bonus if you had: Experience designing high-load and scaling services We conduct coding interviews as part of the process. #LI-ET3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python. You’re welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely. In this position, your responsibility will be to: Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more. We expect you to have: 5+ years of professional software engineering experience Excellent knowledge of Golang or you are ready to quickly switch to this programming language Ability to write reliable code and dig into complex problems Teamwork-oriented approach It would be an added bonus if you had: Experience designing high-load and scaling services We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python. You’re welcome to work from our office in Prague, Berlin, London or in Amsterdam, hybrid or remotely. In this position, your responsibility will be to: Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more. We expect you to have: 5+ years of professional software engineering experience Excellent knowledge of Golang or you are ready to quickly switch to this programming language Ability to write reliable code and dig into complex problems Teamwork-oriented approach It would be an added bonus if you had: Experience designing high-load and scaling services We conduct coding interviews as part of the process. #LI-ET2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.