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Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team We build the products and infrastructure that millions of Canadians trust with their financial lives. Data & Engineering at Wealthsimple spans everything from the client-facing apps to the systems running underneath them — and we hold ourselves to a high bar on both. We move fast, but we build thoughtfully: quality, security, and scalability aren’t trade-offs here, they’re the standard. The Production Engineering team sits within Platform Experience, on the boundary between Platform and Product. Our mandate is to raise reliability across Wealthsimple’s most critical flows — reducing incidents, helping service teams ship safely, and turning individual fixes into platform-wide improvements. We measure ourselves against two targets: 99.9% uptime on critical flows, and fewer than 1% of weekly active users experiencing errors in the app. If you want to work on hard problems with people who care deeply about craft, you’ll fit right in.   About the role This is a new role — one that doesn’t yet exist at Wealthsimple — and it’s a meaningful one. As a Staff Software Developer on Production Engineering, you’ll bring senior technical leadership to the work of making Wealthsimple more reliable at scale. You’ll work across platform and product teams, identify the highest-leverage reliability problems, and build solutions that don’t just fix the immediate issue but raise the floor for everyone. This isn’t a role where you sit in one corner of the codebase. It’s a role where you shape how engineering gets done across the company.   What you’ll do - Improve the platform to prevent incidents — designing and driving adoption of guardrails, sensible defaults, and engineering standards that reduce the likelihood of failures across services - Build tooling that reduces time to mitigation when incidents occur, including contributing to our in-house product on AI-assisted incident response - Own the investigation and follow-through on load test findings — translating results into concrete reliability improvements across critical flows - Work across platform and product engineering teams as a technical influencer — participating in architecture and readiness reviews, coaching service owners, and driving adoption of scalable reliability practices - Identify recurring failure patterns and design platform-level fixes that prevent them from showing up again in a different service - Contribute to the team’s reliability syncs with product engineering, helping align on incident themes, critical-flow risks, and the next highest-leverage initiatives   Skills you bring - 8+ years of software engineering experience, with significant time in platform, infrastructure, or SRE work - Demonstrated track record of improving reliability at scale — reducing incidents, building guardrails, or driving operational standards across multiple teams - Strong proficiency in backend systems and distributed architecture; you can diagnose complex failure modes across a service mesh - Experience with load testing and capacity planning, and the ability to translate findings into concrete engineering improvements - Proven ability to work across engineering teams as a technical influencer — driving adoption of standards and practices without direct authority - Familiarity with Kubernetes, Helm, Argo and modern deployment tooling - Strong written and verbal communication — comfortable presenting findings and recommendations to both engineering teams and senior leadership   Who you are - You think in systems — you’re not looking for the fix, you’re looking for what caused the problem and how to make sure it doesn’t happen elsewhere - You’re comfortable working without direct authority; you build credibility through the quality of your thinking and the clarity of your recommendations - You hold a high bar for operational excellence without making it someone else’s problem to catch up to — you bring people along - You’re energised by ambiguity, not slowed down by it; you know how to prioritise when everything feels urgent - You’re curious about where AI-assisted tooling is headed in reliability engineering, and you want to help shape how we use it — not just observe it from a distance WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Tbilisi, Georgia; Limassol, Cyprus Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team The team owns Pine Script — TradingView’s own programming language that millions of traders use to build custom indicators and trading strategies — together with the engine that runs them. It develops the Pine compiler and runtime, built-in indicators, advanced charting tools such as Volume Profile, Footprint, and Renko/Kagi, and backend calculation of special indices like Crypto Market Cap. Alerts, the Screener, and community script publishing all rely on this engine. The work sits at the intersection of language design and high-load backend, where every script runs under strict performance limits on our own hardware. Responsibilities Lead and grow a team of Java backend engineers through 1:1s, feedback, performance reviews, hiring, and career development Own delivery for the team — planning, prioritization, and predictable execution of the roadmap together with the tech lead Move the team to sprint-based planning and make progress, risks, and results visible to stakeholders Define clear ownership boundaries and drive a structured approach to technical debt Strengthen testing practices in the team and shift testing left Break down large initiatives — new Pine Script capabilities, new indicator types, backend index calculations — into achievable milestones Coordinate with adjacent teams such as alerts, screener, and charts to unblock dependencies and align on shared work Keep reliability, performance, and resource efficiency in focus and make the case for investing in them What makes you the perfect fit 8+ years of hands-on backend development in Java or another JVM language and a deep understanding of the platform Experience managing software engineering teams, including hiring and growing engineers Ability to read and review code and discuss technical trade-offs with senior engineers and architects Experience with high-load backend systems with strict performance requirements Experience building predictable delivery processes and strong testing practices Mature communication — you can align a team around a decision and hold your position with stakeholders Will be a plus Experience with domain-specific languages, compilers, or interpreters Experience with profiling and CPU and memory optimization Hands-on experience with Go or JavaScript Experience in finance, trading, or charting products Familiarity with TradingView and Pine Script What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 700+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: 12-month contract (with possibility of conversion to full-time permanent role) The Role As a Software Engineer in Test at Nex, you will own stability and reliability testing for the Motion Development Kit (MDK), firmware, and hardware modules that power Nex Playground's AOSP-based motion-sensing device. You will build automated test frameworks, stress/soak testing infrastructure, and validation tools that catch instability, regressions, and hardware-integration failures before they reach production. You will work closely with the Framework Engineering and firmware/hardware teams to embed testability across the full Android stack, from low-level sensor drivers and HAL layers up through the MDK APIs that game developers build on . This role sits within a small, highly technical team that values both specialization and collaboration, with clear ownership of quality across core technology areas . The Mindset You are drawn to solving hard reliability problems in systems where hardware, firmware, and Android software all have to work together flawlessly, day after day. You care deeply about long-run stability, not just passing a test once, but proving a system holds up under sustained load, edge cases, and real-world conditions. You thrive in environments where deep systems debugging, Android/AOSP internals knowledge, and rigorous testing discipline directly shape what the platform can confidently ship . What You'll Do Design and build automated stability and reliability test frameworks for the Motion Development Kit (MDK), firmware, and hardware modules on an AOSP-based platform Develop soak testing, stress testing, and endurance testing pipelines to surface memory leaks, crashes, thermal issues, ANRs, and long-running failures Build test harnesses and hardware-in-the-loop (HIL) rigs to validate sensor, camera, and motion-tracking hardware under real and simulated conditions Create regression suites for firmware, HAL, and MDK releases, integrated into CI/CD to catch stability issues pre-release Investigate, reproduce, and drive root-cause analysis of field failures, crashes, kernel panics, and intermittent hardware/firmware defects using Android bug reports, logcat, and kernel logs Define and track reliability metrics such as MTBF, crash rates, ANR rates, and failure recurrence across hardware revisions and firmware/AOSP builds Partner with firmware, hardware, and platform engineers to define quality gates and exit criteria for new hardware/firmware/AOSP releases Write clean, well-tested test code and tooling that raises the engineering bar across the team Build dashboards and reporting for test coverage, defect trends, and release stability Participate in code reviews and contribute to shared tools, infrastructure, and cross-role projects (20% Time) Work with the dual-leadership model (Engineering Manager and Tech Lead) to align on quality priorities and technical direction Document test strategies, systems, and findings to support team knowledge sharing What You Bring 3+ years of professional experience in software test engineering, reliability engineering, or QA for embedded/firmware, Android, or hardware-integrated systems Proficiency in Python, with experience in at least one systems language (C++, C#, Java, Rust, or Go) Hands-on experience with stability, stress, soak, or endurance testing methodologies Experience testing Android/AOSP platforms, HAL, embedded firmware, device drivers, or hardware modules (sensors, motion tracking, cameras, or similar) Strong debugging skills across hardware, firmware, and software layers, including logcat, kernel logs, bug reports, logic analyzers, or serial/hardware diagnostics Experience building or maintaining CI/CD pipelines and automated regression suites Preferred Experience with AOSP build systems (Soong/Make), Android Test Harness, or Vendor Test Suite (VTS)/Compatibility Test Suite (CTS) Experience with hardware-in-the-loop (HIL) test rig design and automation Familiarity with embedded Linux, Android kernel internals, and Treble/HAL architecture Knowledge of communication protocols (I2C, SPI, UART, BLE) used in sensor and firmware integration Experience with reliability metrics and frameworks (MTBF, FMEA, fault injection testing) Familiarity with motion sensing, IMUs, computer vision, or signal processing validation Experience working in small, high-performance technical teams Background in consumer electronics, robotics, or Android-based hardware products Passion for pushing reliability standards and deep root-cause problem-solving We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Remote - Global Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production — query plans, pg_stat_*, indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Yanbu, Saudi Arabia Eram Talent, a leading talent acquisition company in the Oil & Energy sector, We are seeking an experienced Process Engineer (Refinery) to be stationed at YASREF refinery. The ideal candidate will provide on-site technical support, troubleshooting, and optimization for refinery process units, ensuring safe, efficient, and reliable operations. Key Responsibilities Provide expert-level process engineering support for refinery operations. Monitor plant performance and recommend improvements to optimize efficiency, reliability, and safety. Troubleshoot operational issues and provide immediate technical solutions. Support plant modifications, debottlenecking, and process optimization initiatives. Review and validate process design, simulation, and operational data. Coordinate with operations, maintenance, and technical teams to resolve process-related challenges. Ensure compliance with safety standards, environmental regulations, and company procedures. Participate in shutdowns, startups, and commissioning activities when required. Requirements Minimum Requirements Bachelor’s Degree in Chemical Engineering or related field. Minimum 10+ years of experience in refinery process engineering roles. Strong experience in refinery operations and technical support. Technical Expertise (Mandatory) Must have experience in at least one of the following refinery process units: Two Stage Hydrocracking LPG Olefin Saturation Mercaptan Removal Delayed Coking OR strong experience in the following areas: Refinery Process Simulation Relief Load & Flare System Analysis Process Hydraulics Calculations Fired Heaters Design & Operation Refinery Real-Time Optimization (RTO) Required Skills Strong analytical and problem-solving abilities. Expertise in process simulation tools (e.g., Aspen HYSYS, UniSim). In-depth understanding of refinery operations and safety standards. Excellent communication and coordination skills. Ability to work in a fast-paced operational environment.

Задачи: — разрабатывать и поддерживать backend-сервисы на Node.js / TypeScript; — участвовать в развитии собственной игровой платформы; — работать с транзакционной логикой, игровыми сценариями и высоконагруженными частями системы; — обеспечивать стабильность и производительность backend-сервисов; — работать с SQL-базами данных, Kafka и Redis; — писать и поддерживать unit- и e2e-тесты на Jest; — участвовать в code review и улучшении качества кода; — участвовать в улучшении процессов разработки и CI/CD. Требования: — опыт backend-разработки от 5 лет; — уверенный опыт с Node.js; — опыт работы с TypeScript; — опыт работы с SQL-базами данных; — опыт работы с Kafka и Redis; — опыт написания unit- и e2e-тестов; — понимание принципов работы высоконагруженных систем; — опыт оптимизации производительности backend-сервисов; — русский язык для коммуникации с командой. Будет плюсом: — опыт в iGaming / FinTech / high-load продуктах; — опыт работы с финансовыми транзакциями; — опыт работы с платёжной логикой или критичными backend-сервисами; — опыт улучшения CI/CD-процессов. Условия: — формат работы: удалённо на период испытательного срока, далее офис в Лимассоле, Кипр; — занятость: full-time; — прямой найм в продуктовую компанию, не аутстафф / не субподряд; — позиция предполагает релокацию на Кипр после испытательного срока и дальнейшую работу из офиса в Лимассоле.

Задачи: — разрабатывать и поддерживать backend-сервисы на Node.js / TypeScript; — участвовать в развитии собственной игровой платформы; — работать с транзакционной логикой, игровыми сценариями и высоконагруженными частями системы; — обеспечивать стабильность и производительность backend-сервисов; — работать с SQL-базами данных, Kafka и Redis; — писать и поддерживать unit- и e2e-тесты на Jest; — участвовать в code review и улучшении качества кода; — участвовать в улучшении процессов разработки и CI/CD. Требования: — опыт backend-разработки от 5 лет; — уверенный опыт с Node.js; — опыт работы с TypeScript; — опыт работы с SQL-базами данных; — опыт работы с Kafka и Redis; — опыт написания unit- и e2e-тестов; — понимание принципов работы высоконагруженных систем; — опыт оптимизации производительности backend-сервисов; — русский язык для коммуникации с командой. Будет плюсом: — опыт в iGaming / FinTech / high-load продуктах; — опыт работы с финансовыми транзакциями; — опыт работы с платёжной логикой или критичными backend-сервисами; — опыт улучшения CI/CD-процессов. Условия: — формат работы: удалённо на период испытательного срока, далее офис в Лимассоле, Кипр; — занятость: full-time; — прямой найм в продуктовую компанию, не аутстафф / не субподряд; — позиция предполагает релокацию на Кипр после испытательного срока и дальнейшую работу из офиса в Лимассоле.

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Foragers is a new Field Services team within our physical infrastructure organization. We're the boots on the ground for Anthropic's physical infrastructure: the people who get hardware into racks, gear commissioned, and sites handed over. The team is being stood up now, so early hires shape how we operate. This role is the lab-focused counterpart to our traveling field engineers. Instead of covering sites across the country, you own our Bay Area hardware labs from end to end. About the Role Your mission is to ensure our hardware labs are functional, useful, and ready to support the growing number of teams and projects that need access to physical hardware. You’d own what shows up, how it’s powered, cooled, cabled, tracked, set up, and made functional. This includes both standard hardware (think typical accelerator setups) and more specialized ones like ensuring our security teams have access to all the right headers and other hardware instrumentation on the machines. Understanding and anticipating the needs of the various teams that rely on the labs will be another critical part of this role. You’ll be expected to take a lot of ownership and initiative over the lab and what’s in it, including reaching out to partner teams to figure out what they’d need in the future and making sure it’s there before it starts to block them. This will require you to collaborate closely with those partner teams, so a breadth of knowledge around hardware is extremely useful. You’d be the first dedicated lab manager, so part of this role will include shaping it to scale from our current lab to much larger ones. What You’ll Do Run the physical lab across both sites: receiving and staging, rack-and-stack, cabling, power distribution and load planning, cooling, floor layout Bring up new server and accelerator platforms as they arrive, from crate to a machine someone can SSH into: firmware and BIOS/UEFI setup, out-of-band management, OS install, network provisioning Own hardware procurement for the lab: work with teams on what's coming, order ahead of need, chase quotes and lead times, keep receiving and inventory in order Own RMA processes end-to-end for lab hardware: triage, swap, ship, track, close; drive vendor escalations Build the one-off setups engineers ask for: debug and programming harnesses (JTAG/SWD/UART), remote power switching, console and KVM access, and the occasional improvised fix for hardware running outside the conditions it was designed for Oversee smarthands and contractor work on-site (electricians, cabling crews, riggers, integrators, OEM field engineers): scope it, dispatch it, validate the quality Handle physical access, asset auditing, and lifecycle tracking for hardware that is expensive and sometimes pre-release Write it down: build the playbooks and lightweight tooling (inventory, remote power, console access) so remote teams can use the lab without pinging you for every step Who You Are Hands-on experience running a hardware, systems, or datacenter lab, or a similar physical compute environment: rack-and-stack, copper and fiber cabling, power distribution (PDUs, circuits, phase balancing) Working knowledge of server hardware and its management plane: BMC/IPMI/Redfish, BIOS/UEFI configuration, serial console, PXE/network boot, firmware updates Enough Linux and networking (VLANs, DHCP, DNS, basic switch config) to take a bare machine to a state a remote engineer can use Have managed vendors, contractors, quotes, and freight for physical equipment Comfortable and safe with power tools, bench power supplies, and a wiring or rack elevation diagram Work independently with minimal supervision , and know when to ask Bias toward action and comfort with ambiguity: you'd rather move and adjust than wait for perfect information Communicate clearly and directly, especially when flagging risks or blockers Strong Candidates May Also Have Stood up a lab or datacenter room from empty: layout, power and cooling budget, first round of purchasing Time around high-density accelerator systems (GPU/TPU-class racks), liquid cooling, or pre-release/NPI hardware bring-up Electronics bench skills: soldering and rework, scope and multimeter, custom cable and debug harnesses, JTAG probes, light fabrication (3D printing, drilling, mounting) Supported hardware security, firmware, or platform bring-up work Experience with DCIM or asset-management tooling (NetBox, ServiceNow, etc.) Bought hard-to-source or specialty hardware and dealt with the compliance and logistics that come with it Location This role is based in our San Francisco office (500 Howard St). Travel to nearby lab spaces is required so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Commercial Point, OH Weekly Pay | 35% Babylist Discount | Paid Holidays | Paid Healthcare Benefits What the Role Is At Babylist, we help families prepare for one of the biggest moments of their lives — and our Commercial Point Fulfillment Center is where that promise becomes real. As a Forklift Operator, you're a core part of making that happen. You'll move product accurately and safely across our distribution center, working alongside a team that genuinely looks out for each other. This is a role where skilled, dependable people are valued — and rewarded for it. The schedule for this role is Monday- Thursday 7:30pm- 6:00am at our Fulfillment Center located in Commercial Point, OH. About Pay At Babylist we believe in competitive starting pay and a clear, structured scale that rewards performance and tenure. You'll always know how your pay grows. Starting pay for this role is $22.50 per hour. You'll earn a raise every 3 months through your first 18 months with no waiting on an annual review to see your pay move. Shift Differential Night shift: additional $1.50 per hour Holidays Observed The Fulfillment Center is closed on the following days for the night shift in 2026: New Year's Day Memorial Day Thanksgiving Day All shifts receive 4 floating holidays in addition to the holidays observed, so you can celebrate what matters to you the most, whenever that may be. Who You Are Certified and experienced on multiple lift types — you're comfortable on a Reach Truck, Cherry Picker, Stand-Up Forklift, and Sit-Down Forklift (3+ years on each) Safety is non-negotiable for you — you follow protocols because you understand why they exist, not because someone's watching Steady and dependable — your team counts on you to show up, stay on task, and keep things moving even when volume spikes Adaptable across zones and tasks — shifting priorities don't throw you; you read the floor and adjust A real teammate — you communicate clearly, flag issues early, and help others hit the shared goal How You Will Make an Impact Move, locate, stack, and count materials throughout the distribution center using the full range of lift equipment Load and unload trailers safely — keeping outbound on schedule and inbound organized Support both inbound and outbound operations with accurate, timely material handling Perform pre-shift equipment inspections and flag maintenance needs before they become problems Keep your work area clean, organized, and hazard-free — every shift, not just when audited Step in to support other warehouse functions when the floor needs it Physical Requirements Stand and walk for extended periods (up to 10–12 hours per shift) with scheduled breaks Walk the floor extensively, averaging 10,000+ steps per day Lift and move items up to 20 lbs regularly throughout the shift Frequent pushing, pulling, bending, twisting, and repetitive motion Who We Are At Babylist, the work our fulfillment teams do reaches millions of families across the country — whether you're on the floor moving product or leading the operation that makes it happen. We're one of the leading platforms for expecting and new families — a $750M business with 10 million customers and eight consecutive years of profitability. Our fulfillment centers are where the mission becomes real, and the people who run them are a core part of how we deliver on it every single day. Our Ways of Working Our fulfillment teams work on-site in a fast-paced, team-driven environment where every role — from the floor to leadership — plays a direct part in delivering the Babylist experience to millions of families. Why You Will Love Working At Babylist Our Culture Work hard, then recharge — we respect your time on and off the clock Strong management team that supports you and your team The work you do helps millions of families every day We use smart technology to make the job easier and more efficient Growth & Development Clear paths to move up — we promote from within and your performance matters We use data to improve how we work and invest in the people doing it Pay & Benefits Competitive pay Company-paid medical, dental, and vision insurance 401(k) with company match and flexible spending accounts Paid parental leave and PTO Important Notices Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity AI is part of how we work at Babylist — and we expect the same from the people who join us. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. Connections at Babylist If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email it's not us. Verify open roles at babylist.com/careers.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role The Aidoc Clinical Value team plays a pivotal role in evaluating the outputs and performance of Aidoc's products to demonstrate the value delivered to customers in real-world clinical and operational settings. We are looking for an experienced Analytics Engineer to join our Clinical Value team and develop the data foundations, infrastructure, and analytical tools that enable our work. This hybrid role combines Analytics Engineering with hands-on data analysis. You will translate complex analytical and clinical needs into scalable, reliable, and reusable data solutions. You will design data models, pipelines, analytical layers, and tools that enable complex Clinical Value studies across products and customers, while remaining hands-on with selected analytical projects. You are expected to be independent, proactive, and impact-oriented, taking end-to-end ownership of technical challenges and opportunities for improvement. evaluation. Responsibilities Design, build, and maintain the data infrastructure supporting Clinical Value analyses , including reusable data models, pipelines, analytical layers, and tools. Own the technical and analytical implementation of complex Clinical Value applications , adapting established methodologies to different products, customers, and real-world data environments. Develop complex analytical solutions into reusable and scalable frameworks , enabling broader and more efficient execution across the team. Identify data-quality issues, technical bottlenecks, and repetitive processes, and develop solutions and automation to improve reliability and efficiency. Work closely with analysts, Data Engineering, and other technical teams to translate analytical needs into effective, maintainable data solutions and establish best practices. Lead selected hands-on data-analysis projects , analyzing complex clinical and operational datasets to generate credible, actionable conclusions. Collaborate with Go-to-Market teams, including Customer Success, to understand customer needs and support impactful customer-facing value demonstrations. Requirements Education & Experience: B.Sc. or higher in a Scientific or Engineering discipline with 5+ years of experience in Analytics Engineering, Data Engineering, or a technical analytics role . Core Technical Stack: Advanced Python and SQL skills; hands-on experience designing and building production data models, pipelines, and analytical layers. Tools & Platforms: Experience with orchestration/transformation tools (DBT, Airflow, or similar) and cloud data platforms (Databricks, Snowflake, BigQuery, or AWS). Engineering Standards: Strong understanding of data modeling, data quality, testing, and maintainability best practices. AI Tooling & Automation: Hands-on experience integrating AI development tools and agents (e.g., Cursor, Claude agents, GitHub Copilot) into daily workflows to accelerate coding, debugging, and pipeline development. Data Analysis Capabilities: Strong analytical mindset with the ability to independently explore and analyze complex datasets, summarize findings, and extract meaningful insights as needed. Problem-Solving & Communication: Demonstrated ability to work independently, manage tight timelines, and translate ambiguous analytical needs into robust technical frameworks. Excellent communication skills for bridging technical and non-technical stakeholders. Nice to have Prior experience or a strong passion for healthcare, AI, or the medical field. Proven experience in project management or technical team leadership. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

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 are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. - Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. - Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. - Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. - Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. - Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. - Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. - Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. HOW YOU'LL THINK RECURSIVE THINKING You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. INVERSION THINKING You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-NATIVE EXECUTION You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE - Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar. - Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. - Have done deep API work against the systems work actually lives in, and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. - Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward. - Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. STRONG SIGNAL - Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. - LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. - You have built an internal platform that non-engineers adopted voluntarily, and can describe what you changed after watching them use it. WHAT SUCCESS LOOKS LIKE - The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. - Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. - The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. - Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically. - The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. 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: Amsterdam, Netherlands; Remote - Europe 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 Software Engineer to build software that makes network operations safe, scalable, and boring — even as we launch new data centers and expand fast. This is not a “write scripts for configs” role: you’ll build the tooling and services that sit between the network core (switches/ports/VLANs, traffic processors) and the cloud platform on top, using open source where it fits and building the missing pieces where it doesn’t. Your responsibilities will include: Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations Close “last mile” gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling We expect you to have: 5+ years of professional software engineering experience (or equivalent practical background) Strong coding skills and ownership mindset: you can ship and operate reliable services Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes) You don’t have to be Network expert but we expect you to have interest in infrastructure and/or network It will be an added bonus if you have: Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or “network-as-code” style workflows Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection) Contributions to open source or experience extending/debugging OSS components in production environments We expect Engineers to: Manage large-scale projects involving multiple stakeholders Break down complex tasks and guide both their own work and that of more junior colleagues Be experts in specific technologies and write high-quality code that can serve as a reference Assess task priority and focus on high-impact work, avoiding low-value efforts Have strong architectural thinking and contribute to system design Be involved in hiring and actively contribute to interviews Be willing to share knowledge and mentor others 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: Israel; Netherlands; Remote - Europe; 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 Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs Linux process isolation and resource management, concurrency, and memory management Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine Building or maintaining a patched browser that you wrote the patches for Browser instrumentation, including the Chrome DevTools Protocol Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? A page runs a script that never yields. How do we detect and stop it without help from the page? Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. 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: Remote - Europe 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 Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Validate electrical feasibility before commercial commitment. A site or agreement is only as good as its ability to support the power capacity and distribution infrastructure required to run it. You'll lead electrical due diligence, utility interconnection analysis, and equipment feasibility review to inform Go / No-Go decisions before deals close. Keep electrical design decisions ahead of development. Coordinate with Site Selection, Development, Engineering, and Delivery so power distribution topology, redundancy strategy, and equipment assumptions are validated early enough to protect schedule and budget once construction begins. Build a repeatable technical evaluation program. Help establish the standards, design criteria, and technical readiness gates that will support electrical engineering review across every AI infrastructure acquisition in the Americas. About the Role As an Electrical Engineer, you'll provide the technical electrical engineering perspective across the acquisition and development lifecycle — from initial site and deal evaluation through construction readiness. Working within the Infrastructure Acquisition Group, you'll partner with Site Selection, Technical Due Diligence, Development, Energy, Finance, and Delivery to ensure every project's power distribution, utility interconnection, and equipment assumptions are technically sound before they move forward. This is a build-phase role on a build-phase team. Many of the technical evaluation standards, design criteria, and readiness gates you'll use are still being written — in some cases, you'll help write them. We're looking for someone who can independently assess complex electrical infrastructure while helping build the systems that make every future evaluation faster, more predictable, and more scalable. What You'll Own Lead electrical engineering evaluation of prospective sites, colocation capacity, and build-to-suit opportunities. Own technical assumptions for power distribution topology, capacity, and equipment strategy feeding the pre-construction risk register. Assess utility interconnection, on-site generation, and redundancy strategies (N, N+1, 2N) against site conditions and load requirements. Recommend Go / No-Go input on electrical feasibility as projects advance through key development milestones. Deliver technically validated electrical scope to the Delivery organization with complete documentation and minimized risk. Technical Due Diligence & Feasibility Lead electrical due diligence on prospective sites, existing facilities, and colocation capacity under evaluation. Evaluate utility capacity, interconnection queue position, substation requirements, and on-site generation/UPS strategy against projected IT load. Assess electrical equipment availability, lead times (transformers, switchgear, generators), and vendor constraints that could affect schedule or capex. Ensure electrical assumptions are fully integrated into project budgets, capacity models, and schedules. Design & Equipment Strategy Partner with Engineering to define power distribution topology and redundancy strategy appropriate to each site and deal structure. Evaluate EPMS/BMS controls integration and electrical system commissioning requirements early in the acquisition process. Provide technical input on switchgear, UPS, and generator selection, redundancy strategy, and capex trade-offs across candidate sites. Ensure electrical design intent is preserved as deals move from negotiation into development. Construction Readiness Establish electrical technical readiness criteria as part of project handoff standards. Verify electrical design assumptions, equipment specifications, and capacity commitments are complete before turnover to Delivery. Identify and resolve electrical technical risks before they impact construction. Cross-Functional Collaboration Serve as the primary electrical engineering technical interface across Site Selection, Technical Due Diligence, Development, Energy, and Delivery. Coordinate with consulting engineers, utility providers, equipment vendors, and commissioning agents to validate executable electrical strategies. Align internal stakeholders and external consultants to prevent technical scope drift as projects move from acquisition into development. What Success Looks Like Ensure every acquisition is grounded in sound electrical engineering judgment before commercial commitment. Deliver predictable, technically validated power distribution and redundancy strategies across the portfolio. Identify and resolve electrical technical risks before they impact construction. Build trusted relationships with utility providers, equipment vendors, consulting engineers, and commissioning partners. Help build the technical standards and evaluation processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building technical evaluation processes where none exist. You know how to independently assess complex electrical infrastructure while helping define how future projects should be evaluated. 8+ years of experience in data center electrical engineering, power systems design, or mission-critical electrical systems. Experience with medium-voltage distribution, switchgear, UPS systems, generators, and utility interconnection for high-density AI/hyperscale environments. Strong understanding of electrical capacity planning, redundancy topology (N, N+1, 2N), equipment selection, and capex trade-offs in data center design. Experience evaluating electrical feasibility of sites or facilities prior to commercial commitment. Excellent communication and executive presentation skills. Bachelor's degree in Electrical Engineering or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale data center or AI infrastructure development. Experience with EPMS/BMS controls integration and electrical systems commissioning. Experience with utility interconnection agreements and interconnection queue strategy. Professional Engineer (PE) license or similar professional certification. Experience evaluating colocation or build-to-suit electrical infrastructure in a due diligence capacity. Why Join Nebius The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates and designs the power systems behind every AI infrastructure acquisition while helping build the function itself — the technical standards, design criteria, and evaluation framework that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure developments while helping shape the physical foundation of the global AI economy. 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-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. The Director of GenAI Operations  is responsible for driving the adoption, maintaining standards, and ensuring the effective use of AI across Aidoc. This role partners with business and technical stakeholders to identify high-impact opportunities, translate them into scalable AI-enabled workflows, and ensure responsible implementation aligned with company priorities and producing measurable ROI. This role combines strategy, execution, enablement, and governance. Director of GenAI Operations will define standards, build repeatable playbooks, support cross-functional adoption, and help employees and teams use AI tools in a practical, measurable, and secure way. Main roles and responsibilities: Partner with business leaders to identify, assess, and prioritize AI and automation opportunities across workflows and processes. Hands-on creation of scalable AI-enabled workflows and operating models that align with business needs, available tooling, and business systems. Translate use cases into clear implementation requirements, process definitions, documentation, and success criteria. Build and maintain AI playbooks, standards, usage guidelines, and best practices for employees and teams. Lead enablement activities, including onboarding, workshops, training materials, office hours, and internal knowledge sharing. Drive adoption of approved AI tools and capabilities across the organization, helping teams move from experimentation to sustainable usage. Collaborate with business stakeholders to ensure AI usage aligns with governance, privacy, security, confidentiality, and compliance requirements. Establish feedback loops, reporting, and measurable KPIs for AI adoption, productivity gains, and business outcomes. Monitor external AI trends, vendor capabilities, and emerging practices, and recommend improvements relevant to Aidoc. Support vendor evaluation, tool rationalization, and the rollout of new AI capabilities where needed. Requirements: Hands-on technical builder proficient in Python/JS, APIs, GenAI stack (prompts, agents, skills, RAG), and automation tools (n8n, Make, Zapier) Strong business orientation and communication skills – ability to turn ambiguous problems into clear solutions and bridge between business and tech Proven experience in leading cross-functional projects, workflow improvements, or tech adoption initiatives High ownership and proactive problem-solving skills Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Lithuania - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure. Your Impact: Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching. Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load. Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings. Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services. Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks. Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards. Your Qualifications: Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate. Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance. Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis). Practical experience with containerization and cloud-native environments, including Docker and Kubernetes. Hands-on experience with message brokers such as RabbitMQ or Kafka. Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions. Strong written and spoken English skills suitable for collaborating in an international engineering environment. Standout Qualities: Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices. Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor. Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery. A strong interest in how complex systems fail and a track record of designing them to recover gracefully. Team Dynamics: You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion. Our Work Style: The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops. Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools. We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows. Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements. Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions. What’s next? Interview with a Recruiter Technical interview System Design Interview Cultural interview Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Poland - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure. Your Impact: Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching. Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load. Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings. Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services. Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks. Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards. Your Qualifications: Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate. Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance. Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis). Practical experience with containerization and cloud-native environments, including Docker and Kubernetes. Hands-on experience with message brokers such as RabbitMQ or Kafka. Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions. Strong written and spoken English skills suitable for collaborating in an international engineering environment. Standout Qualities: Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices. Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor. Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery. A strong interest in how complex systems fail and a track record of designing them to recover gracefully. Team Dynamics: You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion. Our Work Style: The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops. Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools. We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows. Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements. Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions. What’s next? Interview with a Recruiter Technical interview System Design Interview Cultural interview Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.