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Location: San Francisco; Palo Alto Workplace: Hybrid ABOUT THE ROLE We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models. The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products.   WHAT YOU'LL DO - Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory. - Model Releases: Help experiment with and release new models. - Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems. - Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices. - Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team.   WHAT WE'RE LOOKING FOR REQUIRED - 2 to 10+ years of experience in software engineering or research. - Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems. - Experience shaping LLM behavior through prompts, tool and skill design, or memory systems. - Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders. NICE TO HAVE - Recent experience working on modern LLM-driven products. - Experience working across teams or with external partners. - Experience designing evaluations or benchmarks for AI systems.

Location: San Francisco; Palo Alto Workplace: Hybrid ABOUT THE ROLE We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models. The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products.   WHAT YOU'LL DO - Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory. - Model Releases: Help experiment with and release new models. - Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems. - Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices. - Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team.   WHAT WE'RE LOOKING FOR REQUIRED - 2 to 10+ years of experience in software engineering or research. - Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems. - Experience shaping LLM behavior through prompts, tool and skill design, or memory systems. - Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders. NICE TO HAVE - Recent experience working on modern LLM-driven products. - Experience working across teams or with external partners. - Experience designing evaluations or benchmarks for AI systems.

Location: Warsaw The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday, with the option to work from home on Wednesdays and, depending on the work and the teams you partner with, on Fridays. If you're interviewing for this role, your recruiter will share more about the in-office expectations. What you'll achieve: Own the Gold layer for a given business domain (e.g. PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you: 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions. Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners. Curiosity about AI-native analytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. At Asana , we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles ) Health insurance with dental and travel coverage (Lux Med) Breakfast and lunch catering on the days that you work from the office Vacation allowance Career growth budget Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 20,833 - 23,700 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana ’s Talent Network to stay up to date on job opportunities and life at Asana . About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Staff/Senior Java Engineer, OKX Wallet (Web3) Who We Are OKX Wallet is OKX's self-custody wallet, built for users worldwide to securely and conveniently store, manage, and use their on-chain assets. The wallet backend operates in a multi-chain, multi-asset, high-concurrency environment shaped by on-chain state uncertainty and strict fund-security requirements — combining the complex-systems challenges of traditional internet backends with the transaction, signing, and on-chain interaction problems unique to blockchain. We're looking for a Senior Java Engineer with roughly 5–10 years of backend experience: someone with strong engineering fundamentals who can independently own core modules, exercise sound judgment on complex problems, and proactively coordinate across upstream and downstream teams to drive work to completion. What You'll Do Own core wallet backend modules. Build and continuously improve address management, asset synchronization, transaction construction, broadcasting, on-chain confirmation, gas estimation, nonce management, and transaction-state tracking. Understand each module's role in the full wallet flow, and keep stability, performance, and maintainability front of mind. For complex requirements, break the problem down before choosing an implementation rather than stacking code or reusing old designs. Build transaction and on-chain interaction scenarios. Work on transfers, token approvals, contract interactions, cross-chain, swaps, DApp connections, and signature-request handling. Understand a transaction's full lifecycle — from initiation through construction, signing, broadcasting, on-chain confirmation, and final state update — and diagnose issues like stuck transactions, duplicate submissions, state inconsistencies, and on-chain success that isn't reflected in the business system, using logs, on-chain data, and call traces. Support multi-chain and new-chain integration. We already support EVM, Tron, and Solana, and continuously onboard new public chains, Layer 2 networks, and asset standards. Contribute to technical research, integration design, and feature development, accounting for differences in address models, account systems, transaction structures, signing methods, fees, and confirmation mechanisms — as well as node stability, asset sync, exception compensation, monitoring, and security boundaries. Ensure stable operation. Contribute to day-to-day stability work — monitoring, alerting, rate limiting, graceful degradation, retries, compensation, data reconciliation, and troubleshooting. When incidents occur, help investigate, narrow scope, and fix root causes; for recurring issues, drive systemic fixes such as added monitoring, stronger fallbacks, or design improvements. Drive your projects to delivery. Take ownership of the modules and projects you're responsible for. On work spanning product, QA, frontend, infrastructure, or other backend teams, proactively sync information, surface dependencies and risks, and drive issues to resolution. When requirements are unclear or opinions diverge, lay out the context, offer your own judgment, and help build consensus. Continuously raise engineering quality. Participate in design discussions, code reviews, and system optimization. Spot unreasonable designs, duplicated logic, and latent risks, and propose actionable improvements. Document technical decisions, post-incident learnings, and best practices, and help less-experienced teammates. Apply AI in daily development. Use AI coding tools (Claude Code, Cursor, Codex, etc.) to assist with code comprehension, scaffolding, unit tests, code review, troubleshooting, refactoring, and documentation — validating AI output for correctness, project conventions, performance, and security rather than using it unchecked. What We're Looking For Solid Java backend fundamentals. ~5–10 years of Java backend experience with a strong grasp of collections, concurrency, thread pools, the JVM, network communication, and common performance issues. Proficient with Spring Boot, Spring Cloud, MyBatis, or comparable stacks, able to independently design and build medium-to-large backend modules and reason about the mechanics behind the frameworks you use. Strong system design ability. Experience with complex or high-concurrency systems; comfortable with idempotency, retries, compensation, caching, message queues, distributed locks, data consistency, rate limiting, and service degradation. Able to own module- or service-level design and clearly explain the core flow, failure scenarios, and key trade-offs. Cognitive ability and judgment. Able to understand context and goals on ambiguous problems, separate symptom from root cause, and choose a fitting solution based on business value, user experience, stability, cost, and security — rather than reflexively adding complexity. Drive and ownership. Able to independently own a module or project end to end, from design through development, testing, and launch. Proactively communicates and resolves dependencies, risks, and blockers, and follows through on launch outcomes rather than stopping at code merge. Blockchain or wallet experience. Experience with wallets, blockchain, trading platforms, on-chain data services, or related systems. Understands addresses, public/private keys, mnemonics, transaction signing, broadcasting, on-chain confirmation, gas, and nonce; familiar with the transaction mechanics of at least one of EVM, Tron, or Solana, and with token standards such as ERC-20 and TRC-20. (Strong backend fundamentals and fast learning can offset gaps in blockchain coverage.) High security awareness. Sensitive to private-key, signing, permission, and user-asset security; familiar with replay protection, API authentication, tamper resistance, sensitive-data protection, and least-privilege principles. Actively considers malformed input, duplicate requests, privilege bypass, and data-leak risks when building transaction features. Independent production troubleshooting. Able to diagnose live issues via log analysis, metrics monitoring, distributed tracing, and thread/memory analysis; can form hypotheses and narrow scope even with incomplete information. Hands-on experience with performance degradation, timeouts, message backlogs, data inconsistencies, memory issues, or unstable third-party services. Engineering in the AI era. Willing to use AI coding tools to improve daily efficiency and able to judge whether AI output meets real business requirements before shipping it. Has a basic understanding of prompts, context management, RAG, AI agents, and MCP, or a genuine willingness to keep learning — treating AI as an engineering tool, not requiring an algorithm/model-training background. Nice to Have Integration work on new public chains, new asset standards, or cross-chain protocols Familiarity with WalletConnect, DApp Browser, or signature-request handling Knowledge of MPC, multisig, hardware wallets, or TEE-based key-security schemes Experience with Swap, staking, cross-chain bridges, or DeFi aggregation Address risk detection, allow/deny lists, anti-fraud, or wallet risk-control experience High-concurrency transaction systems, blockchain node services, on-chain data indexing, or transaction-state-tracking systems Familiarity with RPC calls, block scanning, chain reorgs, transaction compensation, and reconciliation mechanisms JVM performance tuning, stability governance, or complex production-incident experience Cross-team collaboration with a track record of driving projects to delivery Real projects built with AI — e.g. AI code review, development agents, MCP servers, intelligent troubleshooting, or knowledge bases Follows developments in AI coding assistants and LLM applications and shares practical takeaways with the team Perks & Benefits Competitive total compensation Comprehensive insurance coverage for you and your dependents More benefits to be discussed after you join Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Singapore or Sydney About the Team In this role, you will be focused on the build out and expansion of our global network. You'll work closely with Cloudflare’s Network Infrastructure planning team, Network Engineering team, Infrastructure automation team, Site Reliability Engineering (SRE) team, Project Managers and with various vendors and partners (including hardware vendors, logistics, datacenter and network providers, and ISPs) to plan and aggressively execute the expansion of our network. You will further be responsible for the development and implementation of consistent processes and tools for consistent and effective management of our infrastructure. This is a highly visible position that requires deep technical understanding of datacenter infrastructure, physical and logical network configuration, system administration, server provisioning and troubleshooting, and basic experience with data analysis and project management. To be successful in this position, you should have excellent technical skills, communication skills, and be able to navigate a range of challenges and constraints (e.g. schedule adherence, time zones, and cultures). You will have the opportunity to (literally) build a faster, safer Internet for our millions of users and the billions of web surfers that visit their sites each month. Key responsibilities Provisioning, monitoring and maintaining hardware, software, and network in new Cloudflare data centers. Perform server administration tasks remotely using IPMI/BMC tools, including server provisioning, monitoring, troubleshooting and firmware updates. Perform network configuration tasks to network devices in greenfield deployment and brownfield migration activities. Managing remote contractors to complete datacenter installations and upgrades (rack and stack), including coordinating with hardware manufacturers, datacenter and network providers, logistics partners and other service providers in support of our 700+ growing datacenter locations. Build automation to eliminate repetitive work using Python scripts and templated change management workflows (Python + Jinja-based) that standardize deployment steps. Our team also develops agentic AI tools to reduce admin overhead and handling other operational toil. Planning and implementing network and server installations, including in the areas of facility power (AC/DC), cooling, security/access, rack layout and cable management. Providing technical leadership and guidance to remote contractors and junior team members during deployment activities—walking them through configurations, troubleshooting steps, and quality checks. Creating and maintaining documentation, plans, SOPs, MOPs and runbooks. Collaborating with internal teams (Infrastructure Engineering and Planning, Network Engineering and SRE) on day-to-day operations and project planning. Coordinating installation of cross-connects globally in support of physical network expansion. Assisting with the definition, documentation and implementation of consistent processes and standardization across all regions. Limited travel. Required Experience Minimum of 5 years of prior relevant experience in Data Center Operations, Site Reliability Engineering, Linux Systems Administration, Network Engineering, and/or DevOps experience. Familiarity with day-to-day tasks and projects common in Data Center Operations. Experience with optical transport technologies such as CWDM/DWDM. Configuration management tool experience like Saltstack, Chef, Puppet or Ansible. Knowledge and exposure to Network Protocols, Topologies and Enterprise architecture. Experience writing network configuration and design documentation. Experience with network and server installation, configuration, and troubleshooting. Experience with remote "lights-out" and out-of-band access to data center resources (IPMI/BMC for remote server administration). Experience solving problems through automation, writing Python or Bash scripts for internal tools and workflow improvements. Experience running and improving operational processes in a rapidly changing environment. Strong verbal and written communication skills, problem-solving skills, and attention to detail. Must be proactive in performing due diligence, e.g. checking for blockers before executing work, spotting patterns in failures or process improvements. Experience building or working with agentic AI tools for workflow automation Examples of desirable skills, knowledge and experience Bachelor’s degree in Computer Science, Engineering, MIS, or a related field is a plus. Direct experience executing on datacenter / infrastructure projects with many moving parts. Experience installing / maintaining datacenter (and other IT) infrastructure and DCIM tools. Experience running and improving operational processes in a rapidly changing environment. Understanding of BGP and anycast routing. Good working knowledge of major networking and optical device OS such as Juniper Junos, Cisco IOS, Cisco NX-OS, Arista EOS, SONiC, Ciena, Nokia (Infinera). Proficient in one or more programming languages and willing to learn new ones when required. Ability to write scripts for internal tools and automation workflows. Ability to learn fast and execute on multiple tasks simultaneously while maintaining quality. Ability to manage MS Excel and Google Spreadsheets. Comfortable handling basic program management responsibilities (prioritization, planning, scheduling, status reporting) using tools like JIRA. Experience managing remote contractors Strong team player who collaborates across functions (planning, network engineering, SRE, vendors). Bonus Points Professional level network certification(s) (JNCIP, CCNP, etc) or higher. Linux certifications. Experience with continuous / rapid deployment. Experience working in a 24/7/365 mission-critical service environment (on-call rotation required) Knowledge of the OSI-model and experience isolating network, hardware and software issues. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: New York, NY, USA; San Francisco, CA, USA About the role Chime’s Lending org builds the products and platforms that give members access to fair, transparent credit and liquidity when they need it most, from Earned Wage Access through MyPay, to flexible overdraft with SpotMe, to longer-term Instant Loans, and the platforms that power credit decisions, funding, repayments, and servicing behind the scenes. We operate some of Chime’s most consequential systems. Our teams build real-time money movement and decisioning infrastructure at scale, including underwriting and eligibility, ledgering and reconciliation, capital markets workflows, repayment systems, and financial transactions that must be correct, resilient, and auditable. As a Senior Software Engineer in Lending, you’ll work at the seam between member-facing products and the platforms that make them possible. This is a role for engineers who want to own more than a single service or feature area. You’ll lead technical initiatives that cut across products, platforms, and partner teams, helping shape how Lending evolves as a system, not just how one team ships. You’ll design and build backend systems where correctness, reliability, speed, and operational rigor matter deeply. You’ll partner closely with Product, Design, Risk, Data Science, Analytics, Finance, and Operations to turn ambiguous opportunities into durable solutions, influence technical direction across team boundaries, and help raise the bar for how Lending engineers build together. Why join Lending? Work on systems that matter The products and platforms we build directly impact millions of members and sit at the center of Chime’s mission to help everyday people unlock financial progress. The problems are complex, the stakes are real, and the work matters. Own a bigger surface area This role is designed for engineers who want broader scope. You won’t be limited to a narrow feature lane. You’ll work across product experiences and shared infrastructure, helping connect strategy, systems, and execution across Lending. Build where product and platform meet Some of the most interesting engineering work happens in the seams: where member experience depends on credit strategy, where product velocity depends on platform leverage, and where financial correctness meets business speed. This role sits in the middle of those seams and gives you meaningful influence over how they scale. Operate in a fast-moving, high-accountability environment Lending is a fast-paced fintech environment where we care about moving quickly and building well. We value thoughtful design, strong engineering judgment, high-quality code, and operational excellence. We also actively use AI where it can improve quality, speed, and leverage. Grow your technical leadership At L5, you’ll be expected to do more than deliver strong execution. You’ll lead through ambiguity, drive alignment across teams, shape architecture and engineering patterns, and improve how the org operates over time. This is a strong role for engineers who want to expand their influence and prepare for even larger technical scope. In this role, you can expect to Lead end-to-end architecture and delivery of backend systems that connect member-facing lending products with shared platforms such as Credit Risk, Capital Markets, Repayments, servicing, and core financial systems Drive complex, cross-team initiatives from problem definition through architecture, implementation, rollout, and iteration, especially where multiple teams or domains need to move in sync Own technical problems with real business and member impact, and bring structure, momentum, and clarity when the path is not obvious Define and evolve APIs, integration patterns, and data contracts so product teams can move faster without compromising safety, correctness, or reuse Design for scale, resiliency, observability, and operational excellence, with strong handling of failures, retries, reconciliation, auditability, and edge cases Identify opportunities to turn one-off product needs into reusable platform capabilities that unlock future velocity across Lending Partner closely with Product, Design, Risk, Data Science, Analytics, Finance, and Operations to translate ambiguous problems into practical, high-leverage technical solutions Influence how product and platform teams work together by clarifying ownership, reducing integration friction, and improving the quality of technical decision-making across boundaries Participate in on-call and incident response, and lead efforts to turn production lessons into lasting improvements in systems, tooling, and engineering practices Mentor other engineers through design reviews, technical feedback, and hands-on partnership, helping raise the leadership capacity of the broader org Contribute to roadmap and strategy conversations by identifying where platform investments can unlock multiple product outcomes over time To thrive in this role, you have 8+ years of experience building and operating production software at scale, with a strong track record of owning backend systems end-to-end Strong backend engineering fundamentals, ideally with Ruby on Rails or a comparable framework, and experience building APIs and distributed systems in production Experience with transactional databases, asynchronous processing, caching, and large-scale application architecture Strong system design judgment and the ability to make sound tradeoffs across correctness, scalability, resiliency, speed, and long-term maintainability A track record of leading complex projects that span multiple teams, systems, or business workflows Experience working in fintech, lending, banking, payments, risk, or other high-integrity domains where correctness, traceability, and operational rigor matter deeply A high-ownership mindset and comfort operating in ambiguity, including the ability to create clarity, drive alignment, and move important work forward without waiting for perfect structure Strong communication and collaboration skills, with the ability to influence across engineering and cross-functional teams in a low-ego, effective way A product mindset and strong instincts for connecting technical decisions to member experience and business outcomes Experience mentoring engineers and helping teams raise the bar on design quality, testing, operational excellence, and engineering ownership Curiosity, sound judgment, and a genuine desire to understand systems deeply and improve them over time Nice-to-have Experience with lending or credit systems such as underwriting, eligibility, line assignment, limits, repayments, collections, servicing, or decisioning Experience with financial platform domains such as capital markets workflows, reconciliations, ledgering, accounting interfaces, partner integrations, or bank integrations Familiarity with experimentation, analytics, and data-informed systems used to safely evolve decisioning and product strategy over time Experience helping product teams adopt shared platform capabilities through strong APIs, abstractions, internal tooling, or platform patterns #LI-AC2 #LI-Hybrid Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $164,000 — $259,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. The Role Halter builds hardware that works in some of the most demanding environments on earth. The quality of what we ship matters enormously, to the farmers who depend on it every day and to the mission we're on. As we scale into multiple products and higher volumes, we need someone to own quality across the full supply chain and build it into a genuine competitive advantage. The Director of Supply Chain Quality owns Halter's end-to-end quality function, based at our Auckland HQ. You'll lead two teams: a Supplier Quality team that owns quality at our component suppliers from pre-selection auditing through to ongoing part approval, and a Contract Manufacturing Quality team that owns incoming, in-process, and outgoing quality at our contract manufacturers. Together they form a quality system with clear accountability and no gaps. A critical part of this role is owning Halter's quality assurance specifications, developed and maintained in collaboration with the Supplier Quality team, the Contract Manufacturing Quality team, and the hardware design team. These specs are the backbone of the quality system. Getting them right and keeping them current is what makes everything else work. You'll set the quality strategy, develop your team leaders and their teams, own the quality framework across the supply chain, and be the escalation point when quality issues arise at the boundary between supplier and CM. You'll work closely with hardware engineering, operations, and sourcing to ensure quality is designed in and not just inspected for. This is not a documentation role. The best quality leaders get into the detail. They visit suppliers, they walk the production line, they dig into the data behind a failure mode, and they develop a sharp instinct for what actually drives quality outcomes versus what just adds paperwork. We want someone who is technically curious, comfortable getting their hands dirty, and able to distinguish between a process that genuinely improves quality and one that exists to say it exists. You'll be measured on product quality, supplier and CM quality performance, and your ability to build a quality function that scales with Halter's growth. What You'll Do Leadership and Team Development - Lead and develop the Supplier Quality and Contract Manufacturing Quality teams, setting clear direction, holding a high bar, and developing strong people in both functions. - Build the culture of the quality function: rigorous, fast-moving, low bureaucracy, and deeply connected to the engineering and operations teams. - Set clear accountability between the two teams and own the interface between them, ensuring the handoff between supplier OQC and CM IQC is well-governed and issues at the boundary are resolved quickly. Quality Assurance Specifications - Own the development and ongoing maintenance of Halter's quality assurance specifications, working across the Supplier Quality team, the Contract Manufacturing Quality team, and the hardware design team to ensure specs reflect current design intent and are correctly implemented across the supply chain. - Ensure QA specs are the single source of truth for what quality standards are required at suppliers and at our CMs, and that they are kept current as products evolve. - Define the governance model for how QA specs are reviewed, approved, and updated, and ensure all three teams are aligned on the process. Quality Strategy and Systems - Own Halter's quality management system across the supply chain, ensuring it is fit for purpose, consistently applied, and evolves as the business scales. - Build the quality metrics and reporting that give leadership a clear and honest picture of quality performance across suppliers and contract manufacturers. - Lead root cause analysis and corrective action on significant quality escapes, ensuring lessons are captured and systemic issues are fixed rather than managed. - Collaborate with the Operations Delivery Lead and Head of Supply Chain Strategy to ensure quality risks are visible early in NPI programmes and sustaining activities. What You Bring - Significant experience leading quality functions in a hardware or electronics manufacturing environment, ideally spanning both supplier quality and manufacturing quality. - Experience owning quality assurance specifications and the cross-functional process of developing and maintaining them alongside engineering and operations teams. - A track record of building and developing high-performing quality teams, with the credibility to set a high bar and the people skills to bring others with you. - Deep understanding of quality management systems, audit methodologies, part approval processes, and how to apply them pragmatically in a fast-moving environment. - Strong cross-functional leadership across engineering, operations, and sourcing teams. - Analytically sharp and data-driven. You use quality data to drive systemic improvement, not just to track defects. - Technically hands-on. You're not afraid to get into the detail of a process, a specification, or a production line to understand what's really driving quality. You can distinguish between a quality process that genuinely moves the needle and one that exists to tick a box. - Clear, direct communication at every level. You can give a board-level quality update and a detailed corrective action review. - Low ego and comfortable with discomfort. You lean into hard conversations, raise the awkward thing early, and never shy away from tension when it needs to be resolved. - You're fun and a joy to work with. Quality work is demanding and detail-intensive. You bring energy, rigour, and optimism to it, and people are better for having you around.   JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Poland; Georgia; Armenia; Spain; Greece; Serbia We are hiring a Senior Database Reliability Engineer to join the Infrastructure DBA cell. This is a hands-on production ownership role, not a narrow ticket-processing DBA position. You will keep critical database services reliable, automate repeated work, support engineering teams, and reduce single-person dependency in our PostgreSQL, ClickHouse, MongoDB, and Redis operations. PostgreSQL is the main requirement. ClickHouse experience is a strong plus, but it is not a day-one blocker. We need a senior engineer with enough database, Linux, automation, and incident-response depth to learn our ClickHouse environment quickly and operate it safely. Your Responsibilities: Own production PostgreSQL reliability: HA design, Patroni, PgBouncer, replication, failover, upgrades, vacuum/bloat control, query tuning, locks, indexes, capacity, backups, PITR, and restore validation. Improve disaster recovery and operational evidence: tested restores, documented recovery paths, measurable RTO/RPO targets, runbooks, and safe maintenance plans. Support the wider database estate: ClickHouse, MongoDB, and Redis. You will troubleshoot incidents, review access and data-safety changes, improve monitoring, and learn the production ClickHouse patterns already in use. Automate DBA workflows with Ansible, Terraform/OpenTofu, GitLab CI/CD, scripts, and reproducible runbooks for provisioning, grants, backups, restores, health checks, and ownership metadata. Help build DBaaS-style self-service capabilities so engineering teams can request databases, access, credentials, and operational checks with less manual DBA intervention. Improve observability and incident response through Grafana, metrics, logs, SLOs, alert rules, Opsgenie routing, and clear communication during production issues. What Success Looks Like: PostgreSQL clusters have tested backup and restore paths, useful dashboards, clear ownership, and documented failover procedures. Repeated DBA tickets become automation or self-service workflows. ClickHouse operational knowledge is no longer a single-person dependency. Database incidents have owners, runbooks, evidence, and measurable recovery paths. Product and engineering teams get database help faster without sacrificing safety, auditability, or reliability. Why Us? You will work on real production infrastructure used across products. You will have a direct impact on reliability, incident response, developer experience, and operational resilience. You will also work in an AI-assisted engineering culture where automation, documentation, Claude, Codex, and careful human verification are part of the daily operating model. Requirements What We Expect From You: Deep hands-on PostgreSQL experience in business-critical production environments, typically 5+ years or equivalent depth. Strong understanding of PostgreSQL internals and operations: MVCC, WAL, transactions, locks, indexes, query planning, replication, autovacuum, bloat, major upgrades, backups, PITR, and restore testing. Proven experience with highly available databases and the ability to reason about quorum, split-brain risk, failover, rollback, and recovery. Strong Linux and infrastructure fundamentals: systemd, networking, storage, filesystems, CPU/memory/disk bottlenecks, TLS, DNS, firewalls, and root-cause troubleshooting. Automation skills with Ansible and scripting. Terraform/OpenTofu, GitLab CI/CD, and merge-request based delivery are strong advantages. Ability to support more than one database engine. You do not need to be a ClickHouse expert on day one, but you must be ready to learn it quickly and take responsibility for it. Practical use of AI engineering assistants such as Claude and Codex. We expect you to use them to improve speed and quality, while personally verifying generated SQL, commands, scripts, and operational conclusions. English - upper-intermediate or higher - to ensure clear communication of progress within the teams. Nice to Have: ClickHouse operations: replication, Keeper/ZooKeeper, MergeTree engines, distributed DDL, grants, row policies, backups, query troubleshooting, and cluster recovery. MongoDB replica sets and Percona Backup for MongoDB. Redis/Sentinel and broker/cache failure modes. Database observability, SLOs, golden signals, alert tuning, and executable incident runbooks. Building internal platforms, self-service portals, or DBaaS workflows for engineering teams. Benefits A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent.

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Role: As part of the System Engineering Department, the Junior FDIR-FSW Engineer will be work with the Senior FDIR-FSW Systems Engineers, operations, systems, subsystem, and payload engineers to document and review system designs for FDIR. Tasks: The Junior FDIR-FSW Engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Document the fault detection actions of the platform and payload at the system and subsystem levels. Work with system, subsystem, payload and unit teams to review FMECAs and provide feedback on the detection, isolation, and recovery of failures modes. Provide input to the Operations team for Operations Procedures, Operations Manuals, and Satellite test procedures to ensure that the Operations documents and FDIR strategy are aligned. Review ICDs to provide inputs to the satellite DB team for parameters and monitors. Review payload, platform, and subsystem design and requirements to ensure that the design is compliant with FDIR requirements. Review Operations Procedures to ensure that they algin with the FDIR strategy. Review FDIR test artifacts to determine if the tests are successful. Verification & Validation Matrices for payload and platform FDIR requirements. Support the operations team as needed for In-Orbit Test (IOT), anomaly resolution + FDIR. Support the payload team for definition of payload to platform FDIR. Support the ICD development activities both HW and SW/DB Must haves Bachelor’s degree in electrical engineering, computer science or in a relevant field · At least 5 years of relevant practical experience – Can be supplemented with higher degrees relevant to Engineering. · Knowledge of LEO/MEO satellite systems. Knowledge of satellite systems and subsystems. Complementary skills/knowledge Previous experience in Constellation FDIR Creation of Fault Trees and FMECAs Working knowledge of PUS services Experience and/or development of payloads Knowledge of MS Excel, for the purposes of engineering analyses Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Remote (Global) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THIS ROLE The Strategy & Ops Senior Associate role is an experienced generalist role at Clipboard suited for the “all-around athlete” type who can do it all and wants exposure to a range of problems and opportunities. You’re likely someone who’s interested in and capable of solving different problem types – you’re resourceful, adaptable, and confident you can figure it out if you can sink your teeth in deep enough. Your first “tour of duty” will be on the Billing team (see more below). The specific projects you take on will depend on your strengths and what we learn during the recruiting process and your first days at Clipboard; that being said, here is a list of example initiatives to give you an idea: - Build an internal predictive analytics model and corresponding underwriting process to catch bad payers early with high accuracy to inform our contracting decisions and risk mitigation tactics - Research, vet, and onboard a new vendor that embeds AI agents into our customer-facing collections efforts - Redesign our process for converting workplaces to new methods of payment, such as getting customers who send checks to start paying us via eCheck to speed up the cash conversion process - Manage a team of Billing Account Managers   FIRST TOUR OF DUTY – QUICK BACKGROUND ON BILLING Our most immediate need right now is on the Billing team. The TLDR is that we want to maximize our profitability by collecting money as fast as possible and minimizing losses, while preserving the customer experience, all in service of reliably converting revenue into cash (the lifeline of a capital-intensive business like ours). This in a way is “ensuring high-quality growth” for the company. Although Clipboard provides a service where workplaces can find qualified professionals to fill shifts, we are in many ways a lending company at our core since we pay professionals immediately after they work a shift. For illustrative purposes: a nurse works a shift → we pay the nurse $100 immediately with our cash → the workplace pays us $120 a month later. We extend debt to workplaces using cash we borrow, with interest, from an Asset-Backed Line (ABL) of credit – workplaces use that debt to pay their staffing costs, and we expect to be paid back by the workplaces at a later date based on agreed-upon net terms. Billing is doing the critical work of converting our revenue into cash that we put in the bank. Otherwise, money we cannot collect is money we’ve already burned. With thousands of customers operating in different regulatory environments, under different conditions, with nuanced capital structures and corporate setups, and using varied complicated processes…this can be hard to do at scale. We consistently fight a multi-faceted battle: a battle wherein we must maximize the speed at which we recognize revenue, maximize the margin associated with each shift, and maximize the customer experience, all without letting one unduly impact the other. Optimizing collections is critical to make sure Clipboard is generating sustainable, high-quality growth and turning top-line revenue into cash that we use to service or grow other parts of the business, and you will help us do that.   WHO WE’RE LOOKING FOR We find those who are most successful in this type of role: - Are insatiably curious and notice non-obvious clues and patterns: Curiosity https://creatingvalue.substack.com/i/46535664/noticing-and-curiosity sits atop our company values. Understanding something from first principles and getting to the root cause of the problem will often reveal the best solution, and a natural and unwavering curiosity to keep asking questions and digging will take you most of the way. - Roll up their sleeves and go to the source: There are multiple ways to say this: touching reality, dogfooding, seeing for yourself, going to the front-lines, etc. Don’t just take someone’s word for it – go find out yourself by testing the feature, or listening to the agent call, or calling the customer, or executing the workflow. This is how you seek truth. - Bring a tenacity and persistence to problem-solving: You’ll hit walls and find yourself in uncertain and unfamiliar situations. If you can sit with the uncertainty, look at the problem from new angles, and keep applying pressure to a problem – you’ll position yourself for breakthroughs. - Bounce back from failure quickly: You’ll make mistakes, move in the wrong direction, and stumble from time-to-time. Just avoid big mistakes and don’t make the same mistakes twice, and learn from them quickly. Worry less about failing and more about losing momentum in your feedback loop. If you fail cheaply and quickly, that's worth the lesson/learning you get in return. While performance on your case and interviews during the hiring process is the most important aspect of your candidacy, your years of relevant working experience will be taken into consideration for both (a) the work you’re placed into once hired and (b) compensation.   Please note: We are currently accepting applications only from candidates based in North America, South America or Europe. This role requires an overlap of at least 5 hours with the PST (UTC-8) time zone.   WHY JOIN CLIPBOARD? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers.   HIRING PROCESS 1. Application 2. Case Study 1 3. Interview 1 4. Case Study 2 [OPTIONAL] 5. Interview 2 [OPTIONAL] 6. Interview with Head of Operations 7. Interview with Head of People   SYSTEM REQUIREMENTS To succeed in this role, you must have: - A reliable laptop/desktop (no Chromebooks or Linux OS). - Minimum 20 Mbps wired internet connection. - Wired headset for clear communication. - A quiet, distraction-free workspace. - Stable power and internet connectivity   *After submitting your application, please check your spam folder periodically over the next few days for updates. #LI-DNI Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: U.S. (Remote) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THIS ROLE The Strategy & Ops Senior Associate role is an experienced generalist role at Clipboard suited for the “all-around athlete” type who can do it all and wants exposure to a range of problems and opportunities. You’re likely someone who’s interested in and capable of solving different problem types – you’re resourceful, adaptable, and confident you can figure it out if you can sink your teeth in deep enough. Your first “tour of duty” will be on the Billing team (see more below). The specific projects you take on will depend on your strengths and what we learn during the recruiting process and your first days at Clipboard; that being said, here is a list of example initiatives to give you an idea: - Build an internal predictive analytics model and corresponding underwriting process to catch bad payers early with high accuracy to inform our contracting decisions and risk mitigation tactics - Research, vet, and onboard a new vendor that embeds AI agents into our customer-facing collections efforts - Redesign our process for converting workplaces to new methods of payment, such as getting customers who send checks to start paying us via eCheck to speed up the cash conversion process - Manage a team of Billing Account Managers   FIRST TOUR OF DUTY – QUICK BACKGROUND ON BILLING Our most immediate need right now is on the Billing team. The TLDR is that we want to maximize our profitability by collecting money as fast as possible and minimizing losses, while preserving the customer experience, all in service of reliably converting revenue into cash (the lifeline of a capital-intensive business like ours). This in a way is “ensuring high-quality growth” for the company. Although Clipboard provides a service where workplaces can find qualified professionals to fill shifts, we are in many ways a lending company at our core since we pay professionals immediately after they work a shift. For illustrative purposes: a nurse works a shift → we pay the nurse $100 immediately with our cash → the workplace pays us $120 a month later. We extend debt to workplaces using cash we borrow, with interest, from an Asset-Backed Line (ABL) of credit – workplaces use that debt to pay their staffing costs, and we expect to be paid back by the workplaces at a later date based on agreed-upon net terms. Billing is doing the critical work of converting our revenue into cash that we put in the bank. Otherwise, money we cannot collect is money we’ve already burned. With thousands of customers operating in different regulatory environments, under different conditions, with nuanced capital structures and corporate setups, and using varied complicated processes…this can be hard to do at scale. We consistently fight a multi-faceted battle: a battle wherein we must maximize the speed at which we recognize revenue, maximize the margin associated with each shift, and maximize the customer experience, all without letting one unduly impact the other. Optimizing collections is critical to make sure Clipboard is generating sustainable, high-quality growth and turning top-line revenue into cash that we use to service or grow other parts of the business, and you will help us do that.   WHO WE’RE LOOKING FOR We find those who are most successful in this type of role: - Are insatiably curious and notice non-obvious clues and patterns: Curiosity https://creatingvalue.substack.com/i/46535664/noticing-and-curiosity sits atop our company values. Understanding something from first principles and getting to the root cause of the problem will often reveal the best solution, and a natural and unwavering curiosity to keep asking questions and digging will take you most of the way. - Roll up their sleeves and go to the source: There are multiple ways to say this: touching reality, dogfooding, seeing for yourself, going to the front-lines, etc. Don’t just take someone’s word for it – go find out yourself by testing the feature, or listening to the agent call, or calling the customer, or executing the workflow. This is how you seek truth. - Bring a tenacity and persistence to problem-solving: You’ll hit walls and find yourself in uncertain and unfamiliar situations. If you can sit with the uncertainty, look at the problem from new angles, and keep applying pressure to a problem – you’ll position yourself for breakthroughs. - Bounce back from failure quickly: You’ll make mistakes, move in the wrong direction, and stumble from time-to-time. Just avoid big mistakes and don’t make the same mistakes twice, and learn from them quickly. Worry less about failing and more about losing momentum in your feedback loop. If you fail cheaply and quickly, that's worth the lesson/learning you get in return. While performance on your case and interviews during the hiring process is the most important aspect of your candidacy, your years of relevant working experience will be taken into consideration for both (a) the work you’re placed into once hired and (b) compensation.   WHY JOIN CLIPBOARD? - 100% Remote – Always. Work from anywhere in the world. - Fast-Paced Startup Environment. Join a company that values curiosity, independence, and growth. - A Hiring Process That Rewards Skills, Not Just Experience. Every applicant gets a fair shot—our selection is based on real-world problem-solving ability, not just credentials. - Opportunity to make a significant impact with our workplace customers.   HIRING PROCESS 1. Application 2. Case Study 1 3. Interview 1 4. Case Study 2 [OPTIONAL] 5. Interview 2 [OPTIONAL] 6. Interview with Head of Operations 7. Interview with Head of People   SYSTEM REQUIREMENTS To succeed in this role, you must have: - A reliable laptop/desktop (no Chromebooks or Linux OS). - Minimum 20 Mbps wired internet connection. - Wired headset for clear communication. - A quiet, distraction-free workspace. - Stable power and internet connectivity   *After submitting your application, please check your spam folder periodically over the next few days for updates. #LI-DNI Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Senior AOCS System Engineer - Location: Warsaw, Poland - Department: Engineering - Reports to: Jakub Lisowski, Engineering Manager - Employment type: Permanent - Workplace model: Hybrid ( 2- 3 days onsite at our Warsaw office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The Mission of the AOCS Systems Engineer   You ensure that our satellites always point towards the right direction enabling high-quality images. This role is within AOCS Domain where we are responsible for maintaining attitude and orbit. Your job will be to work closely with production teams, operation teams and software teams to ensure smooth and performant operation of our ADCS and propulsion systems in orbit and on ground. Expect to be involved in the complete lifecycle of the system - from design phases of future ICEYE satellite generations to maintenance of existing systems we, and our customers operate. You will have a chance to have a direct impact on our mission success as performance and reliability of the AOCS system directly affects the amount and quality of Synthetic Aperture Radar (SAR) data we deliver to our customers.     WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Expected Outcomes: 1. Increased Imaging Performance and Mission Success. You will help driving the performance of our AOCS systems by: - Driving selection of future AOCS hardware components. - Characterizing and validating existing AOCS performance by designing and executing in-orbit experiments and analyzing telemetry data with the help of analysis software you develop. - Developing software tools to predict performance of our future AOCS systems. 2. Maximized AOCS Availability. You will ensure that our systems perform as expected within their design envelope by: - Maintaining verification procedures and working closely with production and testing teams in implementing process improvements and new test jigs. - Debugging on-orbit anomalies requiring deep system system understanding and systematic approach towards pinning the root-cause. Understanding an anomaly is a first step towards preventing it in the future. - Supporting software teams in implementing changes to software to prevent repetition of known issues. - Work on software tools helping debug AOCS anomalies as they happen.   3. Robust and Predictable AOCS Operations. You will help the team establish and evolve internal processes for anomaly handling and resolution.   WHAT WE’RE LOOKING FOR Must haves: - Thinking from a first-principles mindset - your work will often involve resolving in-orbit anomalies, which you will need to tackle in a systematic manner to understand their root-cause and propose solutions to mitigate those in the future. - Strong understanding of AOCS fundamentals: rigid body motion, differential equations, coordinate transformations, 3d geometry, feedback loops, state estimation. Basic understanding of orbital dynamics. - Strong understanding of underlying principles of operation and failure modes of sensors and actuators used in AOCS: reaction wheels, magnetorquers, star trackers, gyroscopes, magnetometers, GNSS. - Strong understanding of performance drivers of AOCS systems. - Proven track record of owning cross-domain systems involving feedback control loops over their complete lifecycle including maintenance and operations. - Demonstrated broad knowledge across multiple engineering disciplines including controls, mechanical and electronics. AOCS is an electromechanical system in the and requires broad perspective to understand it fully - Proficiency in Python, C++ or Matlab.   APPLICATION PROCESS 1. (remote) Talent Acquisition Screening 2. (remote) Hiring Manager interview 3. (remote) Take-home technical task and panel interview 4. (on-site) System thinking workshop 5. (on-site) Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Taiwan 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. About the Role We are looking for a technically strong, hands-on QA Engineer to join our hardware team on-site at ODM factories in Taiwan. This is not a checklist job - we're looking for someone who enjoys digging deep into technical issues, investigating root causes, and taking ownership of complex hardware problems.You'll be the key person ensuring the quality of our servers and racks before they ship, but more importantly, you'll play a critical role in debugging failures, analyzing test data, and working closely with RnD, logistics, and factory teams to continuously improve the process and the product.This is a deeply technical role that blends hardware validation, manufacturing QA, and problem-solving - perfect for someone who understands how servers are built and tested, and wants to make sure every unit that leaves the factory is production-grade. What You'll Own Technical Investigation & Debugging Investigate complex problems (e.g., high GPU failure rate, power-related test failures), gather logs, run diagnostics, and escalate with context to RnD when needed. Drive root cause analysis across factory teams and internal engineering groups. Document findings and help define preventive actions for recurring problems. Act as the first line of technical escalation for hardware issues discovered during factory QA or internal testing.Engineering Support Participate in new platform bring-up sessions together with the visiting RnD teams during on-site trips to ODM labs. Provide technical support, coordination, and hands-on assistance during the bring-up process. Help ensure early-stage hardware behaves as expected, and escalate integration or platform issues to the relevant teams.On-Site Product QA Perform visual inspections of completed products (servers, racks) before packaging. Define and maintain QA checklists and inspection procedures tailored to different product lines. Verify inventory records at the factory against internal system data (part numbers, serials, configurations). Oversee the product packaging process for compliance with defined standards. Supervise pickup operations: ensure outbound trucks meet shipment conditions and schedules.Failure Rate Monitoring & Analytics Collect failure data from vendor-side burn-in and our own test systems. Analyze failure trends and estimate spare part needs for future datacenter deployments. Use dashboards and structured reporting to communicate insights with QA, engineering, and supply chain teams.Feedback Loop & Quality Improvement Gather and process feedback from datacenters on each delivered batch of equipment: * Report on packaging issues, impact sensor triggers, shipping anomalies. * Assess rack-level build quality: cabling, bracket alignment, labeling. * Log systemic hardware issues (design flaws, infant mortality, recurring failures). Forward the feedback to the teams: logistics, ODM partners, hardware RnD, QA.Test Infrastructure & Validation Assist with deployment and maintenance of test infrastructure on-site. Ensure Nebius post-manufacturing hardware validation tests run smoothly (uptime, monitoring, coordination with support team). Coordinate real-time issue escalation and basic triage with factory and internal teams.Local Insight & Communication Communicate relevant local risks and context (e.g., typhoons, holidays, factory-specific constraints) to our global logistics and hardware teams. Maintain productive relationships with factory staff, logistics providers, and internal stakeholders. Working Conditions & Tools During production peaks, issues may arise that require fast, hands-on debugging and resolution on-site. Flexibility is expected: you may need to stay late to investigate failures in freshly built batches or arrive early to verify and unblock outbound truck shipments. Rapid response and clear communication with engineering and factory teams are critical during these high-pressure periods. Occasional international travel may be expected to Nebius headquarters in Amsterdam or to datacenters in Europe and the US. Daily work tools involve: * Managing workflows and escalation via Jira * Writing and maintaining technical documentation in Confluence * Using Grafana dashboards for monitoring test environments and system health * Operating with several internal inventory and test control systems What You'll Bring Strong technical background in hardware or systems engineering, able to independently investigate and troubleshoot complex issues with server systems. 5+ years of experience in hardware QA, manufacturing supervision, or server validation. A strong background in R&D is a significant plus. Solid understanding of server and rack hardware: components, layout, cabling, power/cooling, diagnostics. Ability to read and interpret technical documentation (e.g., datasheets, system specs, debug manuals). Solid knowledge of electrical engineering fundamentals (e.g., power specs, grounding, signal integrity). 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: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a VP of Research (Machine Learning) to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage. Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact. Key Responsibilities Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration. Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models. Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics. Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development. Drive research and experimentation across advanced machine learning techniques, including: Retrieval-Augmented Training (RAG) Mixture of Experts (MoE) Model Distillation Multi-Agent Orchestration Multimodal AI Systems Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications. Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization. Requirements Extensive experience designing, building, and deploying machine learning systems in production environments. Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance. Proven ability to translate advanced research into reliable, production-ready AI solutions. Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments. Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability. Strong ownership mindset with the ability to lead technical strategy and execution. Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Technical Lead, Machine Learning to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance. Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost. Key Responsibilities Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment. Fine-tune and optimize models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation . Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability. Develop and maintain data pipelines for both synthetic and real-world training datasets. Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams. Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies. Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products. Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization. Requirements Proven experience building and deploying production-grade machine learning systems used by real users. Strong expertise working with large language models and understanding model behavior, limitations, and failure modes. Experience developing scalable ML infrastructure, training pipelines, and inference systems. Strong software engineering skills with the ability to write maintainable, production-quality code. Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety. Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment. Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based model training and inference systems

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a Senior Machine Learning Engineer to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments. Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment. Key Responsibilities Build and develop core machine learning systems that power AI-driven product capabilities. Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration. Translate research concepts into reliable, production-ready machine learning solutions. Investigate and resolve model performance issues and production system failures using real-world operational insights. Continuously improve machine learning systems through rapid experimentation, measurement, and iteration. Collaborate closely with research, product, and engineering teams to deliver impactful AI features. Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers. Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety. Requirements Proven experience building and deploying production machine learning systems used by real users. Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments. Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems. Experience designing and implementing scalable machine learning pipelines and infrastructure. Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment. Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams. Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback. Preferred Technical Skills Experience with the following technologies is preferred: Python PyTorch and/or JAX GPU-based training and inference systems