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Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience. The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself. What You'll Do: Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment. Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest. Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints. Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible. Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from. Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit. Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing. What You'll Bring: 7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions. Experience with dynamic or algorithmic pricing systems in production. An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong. Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches. Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes. Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly. Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses. The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome. Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision. Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain. Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors. A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission. Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't Nice to have: Experience in marketplace, telecom, travel, or subscription/usage-based businesses. Bayesian or hierarchical modelling for sparse segments and long-tail SKUs. Competitive price response modelling, or working with scraped competitor pricing data. Familiarity with dbt, LightDash, or similar semantic/BI layers. Experience designing semantic or metric layers consumed by both analytics and production systems. Experience working in cross-functional teams spanning commercial, finance and product disciplines. If you are interested in this position, please apply via the link. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £93,200 - £139,800 📍Spain: €77,600- €116,400 📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800 📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000) 📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000 📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000 Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Prototype Engineer on the Core Platform team, you will rapidly iterate, assemble, diagnose, and evolve advanced robotic platforms for real-world use. In this hands-on role, you’ll drive results across the full hardware lifecycle—concepting, prototyping, root-cause analysis, documentation, and field repair—with a strong emphasis on reliability and repeatable processes. WHAT YOU'LL DO - Lead troubleshooting and resolution of complex electrical issues in prototype humanoid robots, including operational and in-development systems; perform detailed failure analysis and share learnings with hardware/software engineering teams. - Collaborate closely with multidisciplinary engineers on prototype design, assembly, and bring-up, especially high-density electromechanical integrations. - Create, maintain, and execute clear test procedures, troubleshooting guides, and repair runbooks for the prototyping lab to ensure high standards and rapid iteration cycles. - Design, document, and iterate on cable assemblies, test jigs, and harnesses optimized for repeated use on dynamic robotic platforms. - Identify and own opportunities for continuous process and product improvement minimizing downtime and improving test/repair efficiency. - Contribute to robust feedback loops across design, build, and test, driving first-pass yield and manufacturability. WHAT WE'RE LOOKING FOR - Demonstrated experience in rapid physical prototyping, hands-on debug of custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. - Working knowledge of low-voltage and mixed-signal circuits, connectors, sensors, and compact electromechanical systems. - Track record communicating concisely via documentation procedures, test plans, diagnostics, and lessons learned. - Adept collaborating across mechanical, electrical, and software engineering boundaries to solve urgent, ambiguous issues. - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. PREFERRED - Experience designing for manufacturability and reliability in the context of human-sized or mobile robotics. - Familiarity with automated test and diagnostic tools used in modern hardware labs. - Prior mentoring or technical leadership responsibility within a prototyping or field engineering team. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier: collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: London Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real work environments as realistically as possible - filling them with hard tasks to solve, creating plausible input data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you are responsible for creating these RL environments, running AI agents inside them, and improving both the agents and the environments in the process. The results reach customers, whose feedback feeds back in - and the agent/environment improvement loop continues. Key Responsibilities: There are many open problems in this space. As a Member of Technical Staff, RL Environments, you will: - Build new RL environments targeting different agentic capabilities and industry areas - Train and evaluate agents in those environments - Make all the pieces work together: tasks, data, tool implementations, and verifiers - Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments - Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality - Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training Qualifications: You may be a good fit if: - You have engineered agents and optimized them for specific industry use cases - You have spent dozens of hours reviewing agent trajectories to pinpoint exact failure points and fix them with model training or harness engineering - You obsess over measuring agentic capabilities and turning that into a repeatable process - You have had many debates about what a good outcome from an AI agent should look like, you translated that into verifier implementations and tuned the reward designs - You have designed and run annotation workflows to surface insights into agent performance and verify data quality - You have built synthetic data pipelines to scale eval and training efforts - You use agents yourself in your daily work, and have stories about how you improved your setup to 10x your productivity - A plus: you have experience with training with RL: scaling, troubleshooting and tuning the environments If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London, England; United Kingdom (Remote); Manchester, England Workplace: Remote ROLE SUMMARY Join our Technical Services team as a Senior Platform Architect and drive transformational outcomes with Temporal. You’ll be the accountable technical owner from purchase to stable production, turning complex challenges into scalable, repeatable solutions. Shape delivery patterns, operational standards, and enablement strategies that accelerate customer success and create lasting competitive advantage across teams and environments. WHAT YOU'LL DO Own Production Readiness and Activation - Act as the single owner of customers' scale-proof production readiness - Drive the first production workflow and reduce time-to-production - Establish guardrails and best practices for reliability, failure handling, scaling, and upgrades - Make developers Temporal SDK experts, make customer platform architects Temporal Server and SDK best practice experts - Set up alerting to catch issues before customers do - Work on your assigned customers' most difficult problems - Identify and remove activation blockers early before they become escalations - Optimize costs and performance with customers Run the Customer's Technical Program - Build and execute a KPI-driven success plan tied to production outcomes - Define standards for patterns, training, governance, and operational readiness - Lead cross-functional coordination of Professional Services, Support, Partners, and internal teams, leveraging project management to ensure on-time, high-quality delivery - Proactively manage technical risk, migrations, and architectural debt Ensure Long-Term Technical Health - Set and validate reliability, observability, and operational standards - Monitor health signals and intervene before the customer knows they're happening - Lead technical reviews, readiness checkpoints, and maturity assessments - Certify teams and workloads as production-ready Drive Adoption Through Production Success - Surface growth signals based on usage, maturity, and confidence - Partner with customers, Growth AEs and Solution Architects to unlock new workloads - Translate production success into clear technical narratives for renewal and growth - Advocate for customer needs and real-world patterns internally WHAT YOU'LL BRING - You must reside in the United Kingdom, with a preference for London - 6+ years of professional software engineering or solutions engineering experience - Strong understanding of distributed systems, workflow orchestration, and reliability engineering principles - Proficiency in at least one modern programming language such as Go, Java, TypeScript, or Python - Experience building, deploying, and operating production systems at scale - Demonstrated ability to debug complex technical issues and guide customers through resolution - Strong customer-facing skills with the ability to communicate technical concepts clearly to diverse audiences - Experience creating technical documentation, runbooks, and training materials - Self-motivated with the ability to work independently while collaborating across teams - Willingness to travel for customer engagements and team events - Travel expected to be 25-50% Nice to Haves - Prior experience with Temporal or similar workflow orchestration platforms - Experience with observability tools and practices for distributed systems - Background in professional services, technical consulting, or solutions engineering roles - Experience with Kubernetes, cloud platforms, and infrastructure-as-code tools - Contributions to open source projects or developer communities - Experience designing and delivering technical training or workshops Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. In addition to our core business, Workstream is home to a small, fast-moving Robotics team focused on advancing the next generation of artificial intelligence and robotics. We partner with a leading AI and robotics company to produce high-quality, large-scale egocentric (first-person) video datasets that help train advanced AI models. Grow With Us Workstream is looking for a Team Lead for Global Data Operations. In this role, you will serve as the frontline leader bridge between the Operations Manager and the Video Data Contributors / Quality Auditors. You will be responsible for daily team performance, real-time technical troubleshooting, and auditing video footage for accuracy, camera alignment, and data compliance. This is a high-impact role for someone who thrives in fast-paced tech operations, possesses strong attention to detail, and enjoys coaching a distributed team. Day In The Life Team Leadership & Daily Operations Lead, mentor, and monitor the daily output of a team of Video Data Contributors and Quality Reviewers . Track key team metrics including daily upload volume, active contributor retention, and error rates. Conduct regular Q&A sessions and support office hours to answer contributor questions on filming protocols and hardware setup. Foster high engagement and lower churn across a contract-based/distributed team. Technical Guidance & Quality Assurance Perform regular audits on uploaded video data to verify usability, camera positioning, lighting, and recording angles. Troubleshoot hardware setup issues (wearable multi-camera setups, head-straps, smartphone mounts) and resolve technical uploading bottlenecks (Google Drive, cloud tools). Identify recurring failure patterns in footage and work with the Operations Manager to update guidelines and training materials. Onboarding & Hardware Coordination Support the onboarding of new team members, conducting technical readiness checks and verifying required hardware/camera specs prior to project launch. Help manage local physical lab activities and equipment usage when transitioning to office-based operations. Compliance & Administration Enforce strict data privacy protocols (e.g., ensuring no PII or non-consented faces/sensitive items are present in footage). Track contributor hours, video task completion rates, and submission logs to assist management with compensation and bonus payouts. Recruitment Support & Onboarding Coordination Application Screening Support: Assist the Recruiting team by screening incoming applications against specific operational criteria (e.g., camera/smartphone hardware specs, workplace access, schedule availability). Onboarding Execution: Coordinate with People Ops to guide qualified candidates through document completion, NDA signing, and equipment setup, resolving bottlenecks to get contributors ready quickly. Pipeline Status Tracking: Track squad capacity and candidate conversion rates, flagging upcoming contributor shortages to the Recruiting team to trigger hiring drives before production targets are missed. Financial Reconciliation & Payroll Coordination Hours & Data Reconciliation: Audit weekly contributor activity logs against verified, usable video uploads to ensure the company only pays for approved footage. Finance Reporting: Consolidate squad data into accurate "Ready-to-Pay" reports and submit them to the Finance/Payroll team on scheduled payout cycles. Payout Support & Dispute Resolution: Act as the primary administrative contact for contributor payment inquiries, investigating and resolving discrepancies between submitted logs and final payouts. Who You Are Leadership Experience: 3+ years of experience as a Team Lead or Senior Specialist in BPO, AI Data Annotation, Marketplace Operations, or Tech Operations. Technical Aptitude: Tech-savvy with hands-on experience using multi-camera hardware, smartphones, or recording wearables. Ability to quickly master and teach multi-angle recording nuances. Eye for Quality: Exceptional attention to detail with experience auditing visual or data-driven deliverables. Communication: Excellent verbal and written English communication skills; comfortable hosting team syncs and drafting operational guidelines. Adaptability: Comfortable working with distributed/gig workforce structures and operating in a high-growth startup environment. Preferred Qualifications Prior experience in AI/Computer Vision data collection , Data Labeling , or Media Production/QA . Experience in hardware tracking or logistics management. Exposure to working with cross-functional global teams (US and Philippines). Working Conditions & Requirements Work Setup: Initial remote/work-from-home setup, transitioning to a hybrid/office-based setup in Metro Manila (2 to 4 days per week). Compliance: Strict policy on moonlighting; candidates must agree to background Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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 federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia Data Center Planner oversees activities carried out by 24x7 shift teams for Data Centers as well as responsible for ensuring sufficient personnel is available for each Operations shift. Shall also carry out capacity planning, ensuring new deployments meet the capacity requirements. Is responsible for making sure the racking and associated activities, including any changes, are in compliance with the Data Center standards and Change processes. The work location would be in Thuwwal, Saudi Arabia. Scope of Work Capacity planning for Data Center hosting. Prepare racking diagrams and assign it to relevant shifts. Oversee racking and related activities carried out by the DC Operations team. Manage the shift schedule for the Data Center Operations. Liaise with OSP/ISP Team for the interbuilding connectivity requirements. Plan and recommend Data Center Operational requirements. Vendor Management Manage Data Center Asset Register Oversee break/fix of all Windows/Linux servers throughout the Data Center when hardware failures occur by helping the system owners/proponents troubleshoot issues and sending the appropriate hardware in coordination with the Vendor. Proactive Monitoring and recording of facility security, HVAC, Fire Detection and Suppression Systems, Temperature, Humidity and critical power systems. Ensuring that the Data Center is secure at all times. Ensure all visitors are signed in and escorted at all times while in the Data Centers. Perform other various misc. operational duties as per the SOP approved by the Data Center Lead Compliance with TIA 942 standards for Copper and Fiber cabling across all Data Centers Interface with vendors such as HP, Dell, SUN and Supermicro on the implementation of hardware/systems. Willing to work a flexible shift including nights and weekends, and participate in an on-call rotation, if and when required. Participates and performs any other tasks that are assigned by upper management as required. Requirements BS or diploma in computer science engineering, IT, Electrical/ Electronics engineering or Mechanical engineering is required. Minimum 5 years of IT experience with at least 3 years in Data Centers. APC infrastructure experience is required. Should be able to co-ordinate the day to day activities and preventive maintenance with the facility team and IT staff as per the instructions of the Data Center Lead. Should have good experience with communications circuits and Ethernet cabling (structured copper cabling and fiber optic cables). Proficient in Windows server and Linux configuration and troubleshooting. Proficient in MS Office. Basic knowledge of electrical and mechanical components like Online Double Conversion UPS, Dynamic Rotary UPS, medium/low voltage circuits, and chilled water-cooled HVAC systems.

Location: Poland; Romania; Lithuania; Latvia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Application Architect to join our dynamic team on a full-time basis. What You will do: - Translate ambiguous business requirements into a clear, well-structured technical architecture; - Design distributed and microservice-based systems that are scalable, fault-tolerant, and maintainable; - Make and justify architectural trade-offs (performance vs. complexity, consistency vs. availability, build vs. buy); - Design robust API contracts (REST/gRPC) with versioning and backward compatibility in mind; - Architect data storage strategies across relational and non-relational databases, including schema design and query optimization; - Design event-driven and asynchronous flows using message brokers (Kafka, RabbitMQ, NATS); - Anticipate scalability and reliability risks before they become production incidents, and design systems that account for load, failure modes, and observability from the start; - Produce clear architecture documentation (ADRs, technical specs, diagrams) that both engineers and business stakeholders can follow; - Guide and mentor development teams on best practices, code quality, and Go idioms without formally managing them; - Communicate technical decisions and trade-offs effectively to Product Owners, Solution Architects, and other non-technical stakeholders; - Evaluate new technologies, tools, and frameworks and assess their fit for the team's technical roadmap; - Balance hands-on coding with architectural oversight — staying technically credible while enabling other engineers to execute. Requirements - 7+ years of overall software development experience; - 4-5+ years of hands-on, production-level experience with Go, including deep understanding of goroutines, channels, context, memory model, and concurrency patterns; - Higher education in Computer Science (software development, etc.); - Extensive experience working with AI and the process of implementing/configuring it within a team; - Experience in fintech, banking, or other regulated/high-compliance domains; - Proven experience designing distributed, microservice-based, and/or high-load systems; - Strong expertise in API design (REST and/or gRPC), including versioning and backward compatibility; - Solid understanding of relational databases (PostgreSQL/MySQL) — schema design, query optimization, transactions; - Experience with message brokers (Kafka, RabbitMQ, NATS) and event-driven architecture; - Strong knowledge of containerization and orchestration (Docker, Kubernetes); - Experience with CI/CD pipelines and modern DevOps practices; - Golang (design of scalable, distributed backend systems); - Concurrency patterns in Go (goroutines, channels, sync primitives); - System design for high performance and maintainability; - CI/CD tools and pipelines (e.g. GitLab CI, GitHub Actions, Jenkins, etc.); - Understanding of system design principles: scalability, fault tolerance, security, observability (metrics, logging, tracing); - Strong communication skills — ability to explain architectural decisions to both technical teams and business stakeholders; - Experience conducting architecture reviews and writing design documentation (ADRs, technical specs); - Readiness to work from 9 till 18 CEST; - Readiness to practical task (live coding in Go) during the interview with the client. Would be a plus: - Experience with NoSQL databases (MongoDB, Cassandra, ClickHouse) or caching layers (Redis); - Exposure to cloud platforms (AWS, GCP, Azure) and cloud-native architecture patterns; - Experience with Domain-Driven Design (DDD) or Event-Driven Architecture; - Prior experience in a formal Architect, Staff Engineer, or Principal Engineer role; - Familiarity with additional languages (Java, Python, C++) for cross-team collaboration; - Experience integrating AI/LLM components into production systems; - Contributions to open-source Go projects or internal frameworks/libraries; - Experience with SRE practices (SLI/SLO, error budgets, incident response); - Relevant certifications (AWS/GCP/Azure architecture certifications).

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions Have 5+ years leading engineers, including at least 3 years as a people manager Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also Have led corporate networking at a company that added offices faster than it added network engineers Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use Have designed dense wireless for large event spaces and high-occupancy floors Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) Out-of-band management and secure, auditable administrative access Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) Network observability (streaming telemetry, flow and log pipelines) Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Depending on your area of chemistry, you will: Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties Coordinate synthesis and biological evaluation with external contract research organizations and academic partners Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of experience in your area of chemistry beyond the PhD For medicinal chemists, a track record of advancing programs from hit identification through lead optimization Experience directing chemistry activities at contract research organizations Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation Experience using AI or ML tools in chemistry or the life sciences Publications and/or patents demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dallas, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: The Senior Mechanical Engineer, Data Center Operations Engineering & Reliability provides full-lifecycle mechanical engineering support across the data center portfolio, from site design and construction through commissioning, turnover, and enduring operations within Galaxy's Data Center team. This role serves as an operations-focused technical owner for mechanical infrastructure, ensuring systems are designed, built, commissioned, maintained, and operated in a way that protects uptime, preserves design intent, supports redundancy models, and improves long-term asset reliability. The role partners with site operations, design and construction, commissioning, controls/BMS, vendors, OEMs, finance, and enterprise reliability leadership to translate design decisions and construction outcomes into safe, maintainable, and reliable operations. What You’ll Do: This position supports the enterprise reliability strategy, maintenance governance, asset lifecycle planning, engineering standards, RCA discipline, technical escalation model, commissioning lessons learned, and continuous improvement objectives owned by the VP, Operational Reliability & Engineering. Key Responsibilities 1. Site Design and Pre-Construction Support Provide mechanical engineering input during site selection, concept design, schematic design, design development, and construction document reviews. Review mechanical design packages for operational readiness, maintainability, service access, system redundancy, capacity, resiliency, and preservation of design intent. Evaluate mechanical system designs, including chilled water systems, air-cooled and water-cooled chillers, pumps, cooling towers, CRAH/CRAC units, heat exchangers, economizers, valves, piping, filtration, humidification, water treatment systems, and supporting infrastructure. Identify design risks that could create future operational issues, single points of failure, maintenance access constraints, reliability gaps, or lifecycle cost exposure. Participate in constructability reviews, value engineering discussions, submittal reviews, RFI resolution, equipment selection reviews, and design standard updates. Partner with design and construction teams to ensure mechanical systems align with enterprise standards, OEM requirements, warranty protections, and long-term operating expectations. 2. Construction, Commissioning, Turnover, and Operational Readiness Support construction-phase technical reviews to ensure installed mechanical systems remain aligned with approved design intent, redundancy models, sequence requirements, and operating requirements. Review and provide input on commissioning plans, functional performance tests, integrated systems tests, failure-mode tests, and sequence-of-operations validation. Validate that mechanical alarms, controls sequences, set points, trends, and BMS visibility support safe and reliable operations. Ensure turnover packages include complete O&M manuals, as-built drawings, asset data, warranty information, spare parts requirements, PM tasks, training materials, and vendor service requirements. Confirm site operations teams are prepared to operate, maintain, and troubleshoot mechanical systems before handoff to enduring operations. Capture construction and commissioning lessons learned and incorporate them into standards, operating procedures, maintenance programs, and future designs. 3. Enduring Operations and Reliability Engineering Serve as a mechanical technical escalation point for site operations during incidents, abnormal operating conditions, environmental excursions, equipment failures, and reliability concerns. Analyze mechanical system performance trends, including temperature, humidity, flow, pressure, valve position, pump performance, chiller efficiency, economizer operation, and controls stability. Lead or support root cause analysis for mechanical incidents, near misses, recurring alarms, capacity constraints, and equipment failures. Develop corrective and preventive actions that eliminate repeat failure modes and reduce operational risk. Partner with controls/BMS teams to improve alarm rationalization, monitoring, trending, sequence performance, and operator visibility. Provide engineering guidance for live-site maintenance activities, system isolations, change management reviews, MOPs, SOPs, EOPs, and risk assessments. Own the mechanical sequence-of-operations documentation as a living artifact post-turnover, ensuring it stays current as systems, set points, and control strategies evolve during enduring operations. 4. Maintenance, Asset Lifecycle, and Risk Management Define, review, and improve preventative maintenance standards for critical mechanical equipment across the operating portfolio. Ensure maintenance practices align with OEM recommendations, warranty requirements, contractual uptime commitments, and site-specific operating conditions. Support reliability-centered maintenance and predictive maintenance programs where appropriate, using asset condition, failure history, service records, and operating data. Develop mechanical asset criticality frameworks to prioritize inspection, maintenance, testing, spare parts, capital replacement, and engineering oversight. Partner with finance, operations, and reliability leadership to support long-term capital replacement forecasts tied to equipment degradation, age, risk, and lifecycle cost. Review vendor service quality, maintenance documentation, corrective maintenance effectiveness, and spare parts strategies for critical mechanical systems. Own the water treatment and chemistry monitoring program for chilled water and condenser water systems, including chemistry limits, treatment equipment performance, ongoing monitoring cadence, and coordination with water treatment vendors to protect system integrity and heat transfer efficiency. 5. Standards, Governance, and Continuous Improvement Develop and maintain mechanical engineering standards, operating playbooks, troubleshooting guides, technical bulletins, and review frameworks for the operations organization. Support management of change processes to ensure mechanical modifications are reviewed for reliability, redundancy impact, maintainability, documentation, training, and operational readiness. Translate site-level incidents, near misses, asset performance issues, and commissioning findings into portfolio-wide improvements. Help establish engineering competencies, technical training content, and qualification expectations for mechanical operations support. Reduce single points of technical dependency by documenting knowledge, coaching site teams, and strengthening internal engineering capability. Promote disciplined risk evaluation, technical documentation, and cross-functional decision-making across design, construction, commissioning, and operations. What We’re Looking For: Required Qualifications Bachelor's degree in Mechanical Engineering or a closely related technical discipline. 8-10 years of progressive mechanical engineering experience, with at least 5 years supporting data centers, mission-critical facilities, central plants, industrial facilities, or other 24x7 high-availability environments. Demonstrated experience supporting mechanical infrastructure across design review, construction support, commissioning, turnover, maintenance, troubleshooting, and enduring operations. Strong working knowledge of data center or mission-critical mechanical systems, including cooling plants, air handling systems, pumps, heat rejection equipment, piping, valves, controls, and redundancy configurations. Experience reviewing mechanical drawings, equipment submittals, sequence-of-operations documents, commissioning scripts, test reports, O&M manuals, and maintenance documentation. Ability to troubleshoot complex mechanical issues in live operational environments and make sound recommendations that balance uptime, safety, cost, schedule, and long-term reliability. Experience with preventative maintenance, root cause analysis, corrective action planning, asset lifecycle management, and operational risk assessment. Strong communication skills with the ability to explain technical issues clearly to site operations, leadership, vendors, design teams, construction teams, and commissioning partners. Preferred Qualifications 10+ years of mechanical engineering experience in large-scale data center, mission-critical, or multi-site critical infrastructure environments. Professional Engineer license or Engineer-in-Training certification. Experience serving as a senior mechanical technical escalation point for live operational facilities. Experience supporting new data center builds, major expansions, retrofits, integrated systems testing, and operational turnover. Knowledge of Uptime Institute Tier concepts, ASHRAE guidance, OEM maintenance requirements, and data center availability expectations. Experience with BMS platforms, mechanical controls troubleshooting, alarm strategy, trend analysis, and sequence optimization. Familiarity with predictive maintenance technologies, thermal modeling, CFD, digital asset management, CMMS data quality, or reliability analytics. Experience developing mechanical standards, SOPs, MOPs, EOPs, RCA templates, training materials, and engineering governance processes. Key Competencies Mission-critical mechanical engineering expertise. Operational reliability mindset and strong risk recognition. Ability to identify design, construction, commissioning, and operating issues before they become outages. Practical understanding of how design and construction decisions impact long-term operations. Strong troubleshooting, incident response, and root cause analysis capability. Clear technical communication and cross-functional leadership. Discipline around change management, documentation, governance, and lessons learned. Ability to create scalable standards for a growing operating portfolio. Success Measures Improved mechanical system reliability and reduced repeat mechanical incidents. Strong uptime performance across supported data center sites. Successful transition of new sites from design and construction into stable operations. Reduction in emergency corrective maintenance related to mechanical systems. Improved mechanical asset health visibility and long-term capital replacement planning. Standardized mechanical maintenance practices, technical documentation, and operating expectations across the portfolio. Fewer design, commissioning, and turnover issues impacting operations. Increased technical capability of site operations teams and reduced reliance on external consultants for core mechanical expertise. Overall reduction in operational SLA violation risk due to operational support (programs/processes/tooling). What We Offer (Dallas): Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Worldwide Workplace: Remote Veda builds vault infrastructure for DeFi at scale. We manage Billions in total value locked across 15+ blockchain networks, powering yield strategies for partners including Kraken, Etherfi, MetaMask and Plasma. Our protocol turns complex multi-chain DeFi positions into simple vault interfaces that institutional and retail users can actually trust. We seek individuals with high agency to join us in defining the next phase of DeFi growth and adoption. The ideal candidate takes ownership, thrives in a fast-paced environment, and adapts swiftly to evolving demands. THE ROLE As a Backend Engineer focused on Solana, you will help build secure DeFi products across on-chain programs and the backend systems that support them. You will work on protocol integrations, transaction infrastructure, product APIs, and production operations. This is a hands-on role combining smart contract engineering, backend development, and applied security for systems that manage real assets. RESPONSIBILITIES - Design, build, and maintain Solana programs and backend services that power Veda’s DeFi products. - Own features end to end, from technical design and implementation through testing, deployment, monitoring, and ongoing improvement. - Integrate third-party DeFi protocols and infrastructure, evaluating technical and economic risks and maintaining those integrations as external systems evolve. - Build reliable APIs, data pipelines, SDKs, and internal tools that connect on-chain functionality with user-facing products and operational workflows. - Design for security and financial correctness, including clear trust boundaries, safe state transitions, access control, precision, reconciliation, and recovery from partial failures. - Improve the scalability, reliability, performance, and developer experience of our Solana platform. - Develop comprehensive automated tests, participate in security reviews and audits, and drive findings through remediation and production verification. - Collaborate closely with product, engineering, research, and external partners while documenting important technical decisions and operational procedures. YOU HAVE - Strong professional experience with Rust and the ability to reason about security-critical systems code. - Deep knowledge of Solana and the SVM, including its account model, transaction lifecycle, token standards, performance constraints, and common security considerations. - Experience building Solana programs and the backend services or SDKs that configure, invoke, index, or operate them. - Experience designing and operating production APIs and distributed services in a language such as Python or TypeScript. - Strong DeFi fundamentals, including vaults, lending, trading, liquidity, fees, pricing, and cross-chain systems. - A security mindset and experience building systems that handle real money, with careful attention to correctness, auditability, and incident response. - Strong testing practices across unit, integration, and end-to-end environments, including working with real external dependencies. - High agency and clear communication. You can turn an ambiguous problem into a reviewed design, incremental implementation, production rollout, and durable handoff. EVEN BETTER IF YOU HAVE - Production experience with Anchor, native Solana development, and the Solana token ecosystem. - A track record of deploying, auditing, or maintaining smart contracts that secure meaningful value. - Experience integrating with major Solana DeFi protocols or building vault, lending, trading, staking, or bridge products. - Knowledge of EVM smart contracts or cross-chain systems. - Experience with secure key management, multisig or custody workflows, and institutional blockchain infrastructure. - Experience with cloud-native services, event-driven systems, containers, deployment pipelines, and production observability. - Contributions to open-source blockchain infrastructure or comfort using modern agentic development tools without weakening engineering judgment. WHAT YOU’LL WALK INTO We’re a 35-person team that has raised $18M at Series A. Veda’s infrastructure is already running in production and supporting billions in TVL, and Solana is an important area of continued investment. You’ll help expand our capabilities, strengthen reliability and security, and make the platform easier for the team to extend as the business grows. The work is highly collaborative, ownership-focused, and close to both product and protocol design. COMPENSATION Competitive base salary plus equity. We’re a Series A company heading toward Series B, early enough that your equity is meaningful, late enough that the business is real. Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Location: Asia Workplace: Remote We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats. The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering. You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES - Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty. - Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm. - Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information. - Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items. - Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose. - Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers. QUALIFICATIONS - Licensure: Registered doctor based in the US, Europe or Asia-Pacific. - Experience: Current or recent clinical practice in your stated specialty. - Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards. - Attention to detail: Proven accuracy and consistency in clinical review or assessment work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate in line with specialty and level of experience. - Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.

Location: USA Workplace: Remote We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats. The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering. You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES - Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty. - Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm. - Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information. - Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items. - Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose. - Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers. QUALIFICATIONS - Licensure: Registered doctor based in the US, Europe or Asia-Pacific. - Experience: Current or recent clinical practice in your stated specialty. - Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards. - Attention to detail: Proven accuracy and consistency in clinical review or assessment work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate in line with specialty and level of experience. - Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.

Location: United Kingdom; Europe Workplace: Remote We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats. The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering. You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES - Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty. - Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm. - Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information. - Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items. - Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose. - Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers. QUALIFICATIONS - Licensure: Registered doctor based in the US, Europe or Asia-Pacific. - Experience: Current or recent clinical practice in your stated specialty. - Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards. - Attention to detail: Proven accuracy and consistency in clinical review or assessment work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate in line with specialty and level of experience. - Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.

Location: USA Workplace: Remote We are seeking experienced US registered nurses to review and assess AI-generated responses from a health coaching agent, with a focus on safety, regulatory compliance, and clinical content accuracy. You will work asynchronously on a dedicated review platform, performing short, structured evaluations to help train and refine AI models for patient-facing health guidance. This is a remote, flexible and short-term project. KEY RESPONSIBILITIES: - Structured Grading: Score AI agent responses against a pre-defined rubric, applying the highest-priority criteria consistently across a large volume of items. - Safety Review: Identify responses that could cause patient harm missed red flags, unsafe advice, failure to escalate or signpost to care. - Clinical Accuracy: Assess factual correctness, completeness and guideline alignment of clinical content. - Written Feedback: Provide brief, specific rationale for each failed response and general guidance on how it could be improved. QUALIFICATIONS - Licensure: Active RN license for US - Experience: Minimum 2 years of clinical nursing practice. - Knowledge: Strong grounding in clinical guidelines, patient safety and scope-of-practice boundaries. - Attention to detail: Proven accuracy and consistency in clinical documentation or review work. - Technical proficiency: Comfortable using structured review tools and digital platforms. - Language: Native or near-native written English. LEGAL STATUS - You will have the right to work in your country of residence. - You will work as an independent contractor. WHY JOIN US? - Flexible Work Arrangements: Part-time, remote and fully asynchronous. - Competitive Compensation: Hourly rate - Professional Development: Hands-on experience in AI evaluation and model fine-tuning, shaping how AI is deployed in patient care.

Location: England; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Developer Experience team builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout, Docker Hardened Images and the workflows that turn supply-chain data into useful developer experiences. Our systems are deliberately polyglot. Today that includes Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. We will keep evolving the stack as the product and business change. We are looking for an adaptable backend engineer who can become effective in an unfamiliar codebase, choose technology pragmatically and help other engineers do the same. Clojure experience is useful, but it is not a requirement and this is not a Clojure-specialist role. We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality, security and operability of what ships. At Staff level, you will also help the team turn good individual practice into repeatable workflows, controls and shared standards. As a Staff Software Engineer, you will lead ambiguous, cross-team work from problem definition through measurable outcomes. You will remain hands-on in code while shaping architecture, raising operational standards and creating enough clarity for several engineers and partner teams to move quickly. Work may span developer-facing features, build and artefact workflows, data and event pipelines, platform evolution and integrations with Docker's build and security systems. SUCCESS IN THIS ROLE LOOKS LIKE You will succeed by finding the highest-leverage problem, creating momentum before every detail is known and bringing people with you. Within your first year, teams should be delivering more confidently because you have made system boundaries clearer, reduced operational risk, connected technical choices to customer outcomes and helped senior engineers take on larger work. _______________________________________________________________________ RESPONSIBILITIES - Set technical direction for major backend and developer-experience initiatives across Clojure, Go and adjacent systems. - Turn ambiguous product or platform problems into clear plans, staged decisions and measurable outcomes. - Design, build and operate distributed services, event pipelines, databases and APIs with strong security and reliability characteristics. - Lead cross-team delivery, surface risks early and remove technical or organisational blockers without waiting for formal authority. - Make pragmatic recommendations about when to retain, evolve or replace existing components, including the continued reduction of legacy Datomic dependencies. - Partner with Product, Design, Security and other engineering teams to connect technical investment to developer and business outcomes. - Improve observability, incident readiness, performance and service ownership across the Developer Experience estate. - Improve engineering leverage through appropriate automation, AI-assisted workflows and controls that preserve human accountability. - Mentor senior engineers, raise the quality of design and code reviews and create reusable patterns that multiply the team. - Stay hands-on through implementation, debugging and the team's paid on-call rotation. - Communicate decisions and trade-offs clearly in a remote, async-first environment. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Deep experience designing, building and operating production backend or platform systems. - Strong programming ability in at least one production language, with evidence of becoming effective in unfamiliar languages and codebases. - Experience with distributed systems, event-driven architectures, APIs, relational or distributed databases and cloud-native infrastructure. - A track record of leading complex initiatives that crossed team or organisational boundaries. - Strong technical and product judgement, including the ability to explain constraints, alternatives, customer outcomes and business trade-offs. - Evidence of influencing without authority and improving the effectiveness of other experienced engineers. - An operational mindset that treats observability, resilience, incident response and on-call ownership as part of engineering. - Comfort using AI-assisted engineering tools critically while retaining ownership of the result. - Clear written and spoken communication suited to a remote, async-first company. HELPFUL, BUT NOT REQUIRED - Production experience with Go, Clojure or both. - Experience with Spanner, Datomic, Kafka or other distributed data and streaming platforms. - Experience with build systems, containers, artefact workflows or developer tooling. - Experience evolving a platform, database or language strategy without disrupting product delivery. - Experience building security or software supply-chain products. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context on Developer Experience products, customers, architecture and current priorities. - Pair across Clojure, Go, Datomic and Spanner-backed systems and ship a useful production change. - Understand the operational profile of the team's services, including on-call and recurring failure modes. - Build working relationships with Product, Design, Security and adjacent engineering teams. - Learn the team's AI-assisted engineering practices and identify where shared controls or workflows would improve them. FIRST 90 DAYS - Lead the technical framing and delivery plan for one significant team or cross-team problem. - Contribute production code in the parts of the stack needed to move that work forward. - Identify and begin addressing a material reliability, observability, data or architectural weakness. - Establish a mentoring and design-review cadence that helps other engineers own larger decisions. ONE YEAR OUTLOOK (FIRST YEAR) - Be a trusted technical leader for Developer Experience and a sought-after partner across Docker. - Deliver at least one material product or platform outcome spanning multiple teams or systems. - Improve the reliability, clarity and delivery speed of the backend and data estate. - Shape pragmatic evolution across Clojure, Go, Datomic, Spanner and future technologies without turning technology choice into the goal. - Grow other senior engineers into broader ownership and reduce the number of decisions that depend on a small set of people. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €110,500 – €181,500 base United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Espoo Workplace: OnSite Role highlights: - Location: Espoo, Finland - Department: Global Manufacturing Organization - Reports to: Manager, Logistics Management - Employment type: Permanent - Workplace model: On-site (Cleanroom) - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As an Electronics Verification Technician, you are a critical part of the highly international manufacturing team specifically responsible for ensuring every PCBA functions flawlessly before assembly. Reporting to the Electronics Verification Team Lead, embedded within the Logistics and QC Department, you will work in a clean area with ESD sensitive devices and classified information, operating test stations, high precision equipment, verifying electronic board assemblies, performing visual inspections, troubleshooting failed tests and providing immediate feedback to prevent defects from moving down the assembly line. 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 1,000 employees across Poland, Spain, Germany, the UK, Australia, Japan, the UAE, Greece, and the US. Read more about our latest financial results and growth https://www.iceye.com/newsroom/press-releases/scaling-sovereign-intelligence-from-space-iceye-announces-2025-financials-250m-revenue-100m-profitability-and-1.5b-backlog?hs_preview=VihREVTI-209111858013&hsLang=en. Your day-to-day responsibilities - Conduct visual inspections, electrical verifications, and basic mechanical tests as well as quality checks during incoming operations of electronic parts, mechanical parts, commercial off-the-shelf (COTS) items, and subsystems to ensure compliance with specifications; - Update material status in the ERP and MES system, Record inspection results and maintain accurate, audit-ready, documentation; - Report non-conformances, support root cause analysis activities, contribute to the implementation of corrective and preventive actions across production and the supply chain, communicate persistent assembly errors to the production lead; - Perform real-time visual and mechanical inspection of SMT and Through-Hole assemblies to IPC-A-610 and J-STD-001 standards. - Flash firmware and bootloaders onto microcontrollers, troubleshoot test failures in real-time, identifying whether the issue is a component failure, soldering defect, or test fixture error. - Occasionally perform minor rework on non-conforming boards to keep production flowing. - Ensure inspection tools and equipment are properly calibrated and maintained; - Monitor inspection, logistics, production, storage, and laboratory environments to ensure compliance with safety and quality standards to support consistent manufacturing operations. What we’re looking for Must haves: - Strong background in Electronics, Mechatronics, Testing, or related fields, with computer literacy in Jira, Confluence, MES Systems, Linux, and with programming knowledge in Python, CSV, Bash, etc. - Direct hands-on experience in the use of complex electronic measurement tools, oscilloscopes, multimeters, bench power supplies, VNA, test jigs, etc. - Conversational level of spoken and written English. - Degree, diploma or applicable certifications: Master of Science in Engineering (MSc) recently graduated, Engineer, Advanced university student, Bachelor with a minimum of 2 years of experience in similar environments, or 5 years of proven enthusiastic experience, IPC-A-600, IPC-A-610, J-STD-001, ESA/ECSS. - Experience with basic hand-soldering rework tools. - Ability to coach peers constructively on the production floor. Nice to haves: - Knowledge of industrial practices, non-conformance reporting, root cause analysis, calibration requirements, ESD, manufacturing workflows, . - Strong ability to read PCB assembly drawings, Bill of Materials (BOMs), schematics and trace circuits to find shorts or open connections and defect recognition (polarity, bridging, cold joints, missing components). - Experience in mechanical inspection of individual parts and assemblies. - Exposure to Assembly, Integration and Tests environments of Satellite Hardware. Application Process - Recruiter call - Hiring Manager interview - Technical task - Team interview - Final interview 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 and we will 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 work with us at iceye.com http://iceye.com.

Location: Kazakhstan; Kyrgyzstan; Uzbekistan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people. What you'll do - Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams. - Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization. - Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business. What you'll own - Own projects end to end — from stakeholder alignment and design review through implementation, launch, and ongoing support. - Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added. - Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized. - Optimize Spark jobs end to end — cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta). - Manage Databricks Workflows, jobs, cluster configurations, and the underlying infrastructure — security policies, resources, and access — responding to failures and performance issues. - Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII. What makes you a strong fit - Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala). - Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics. - Experience with Delta Lake and lakehouse architectures, including performance optimization. - Proven ownership — you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain. - Experience writing clean, testable, maintainable code with Git-based version control. - Experience with infrastructure-as-code such as Terraform or Ansible is a plus — not required, and easy to pick up on the job. What we offer Build what's next in Southeast Asian fintech. Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - US$2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s