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Location: Jeddah, Saudi Arabia Eram Talent is seeking a qualified Maintenance Engineer – Systems to support a leading organization in Saudi Arabia. The role will be responsible for maintaining and optimizing Niagara4-based Building Automation Systems and Integrated Fire Alarm Automation Systems , ensuring system reliability, performance, security, and continuous improvement. Key Responsibilities Monitor and maintain Niagara4-based Integrated Automation Systems (IKAS) and Integrated Fire Alarm Automation Systems (IFAS) . Prepare daily system functionality and health reports. Investigate and resolve system alarms, faults, and failures, including Root Cause Analysis (RCA) . Create and manage Niagara user accounts according to approved access levels. Monitor system user activities and report security or access violations. Manage software backups and perform restoration when required. Coordinate with IT teams to resolve network and virtual machine issues . Troubleshoot communication issues between Niagara and connected equipment/devices. Configure Niagara machine IP addressing and server communication ports . Perform system optimization, fine-tuning, and continuous improvement. Develop and maintain SQL database scripts and configurations for reporting requirements. Maintain related IT equipment, including servers, workstations, and JACE controllers . Address security alerts raised by Operations and IT departments. Support system expansion projects and ensure vendor/contractor compliance. Maintain Niagara system configurations and graphics accuracy. Conduct audits and inspections of automation systems. Develop software solutions to improve system performance and daily operations. Prepare monthly system status reports and performance/statistics dashboards. Coordinate with software developers and relevant departments on automation-system requirements. Manage TRIDIUM SMA agreements , including software patches, bug fixes, and version upgrades. Requirements Bachelor’s degree in Computer Science, Electrical Engineering, Electronics Engineering. Minimum 7 years of overall relevant experience . Minimum 3 years of experience working with Niagara platform-based Building Automation Systems . Knowledge of Niagara4 Java and HTML5 implementation . Knowledge of Building Automation Systems (BAS) . Knowledge of security systems such as: Fire Alarm Systems Lighting Control Systems Power Monitoring Systems Strong problem-solving and Root Cause Analysis (RCA) skills. Knowledge of Energy Conservation . Fluent in written and spoken English .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast. Key responsibilities Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences Contribute to internal tools that help teams author, manage, and publish content at scale Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members Move quickly from concept to working prototype, iterating in close collaboration with the team Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing Minimum qualifications Have solid experience with modern frontend frameworks, particularly Next.js or similar React-based tooling, and are comfortable working within a design system Understand CSS at a level that lets you implement complex layouts, animations, and interactive experiences with precision Have hands-on experience with headless CMS platforms and can navigate content modeling, structured data workflows, and the operational side of keeping a large site running Have built internal tools or contributed to workflows that improve how teams work day-to-day, and enjoy that kind of problem-solving Can prototype quickly and iterate confidently, moving from rough idea to working proof-of-concept without getting stuck Communicate clearly with both designers and engineers, and care about shipping work that's both technically sound and visually refined Have a track record of contributing to production web properties at a mid-level scope, and are motivated to grow into owning larger, more complex projects Preferred qualifications Experience with AI-assisted development workflows Interest in generative or programmatic design Familiarity with localization or internationalization systems 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. #LI-REMOTE #LI-MT2 OTE (On Target Earning) $208,485.63 — $260,607.19 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Chicago, IL Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale. This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships. We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.   ABOUT THE ROLE You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.   WHAT YOU'LL DO - Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo - Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations - Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement - Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations - Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts - Contribute code upstream when it meaningfully improves customer outcomes   WHAT YOU'LL BRING - 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up - Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations - Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make - A track record of taking responsibility for outcomes, not just recommendations - A bias toward action and a willingness to figure things out as you go - Genuine interest in operating AI agents in production, not just building demos   NICE TO HAVES - You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Experience carrying a technical number or working against pipeline alongside a sales team - Experience with LLM evaluation, observability, or guardrails - Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts   COMPENSATION Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location. Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.   Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Canada; United States Tasks summary: Architecture Concept & Requirements • Translate mission‑level requirements into C&DH functional and non‑functional specifications. • Produce System Requirements, Interface Control (ICDs), and Description documents. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. • Collaborate with cyber-security to embed resilience and security by design, ECU. Design & Development • Lead detailed design of on‑board processors, data‑buses (SpaceWire, MIL‑1553, CAN, Ethernet), memory subsystems, and I/O interfaces. • Support software architecture: command sequencing, telemetry packetization, health‑monitoring, services, fault‑detection‑isolation‑recovery (FDIR). • Support Satellite Reference Database development and validation Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Work with FSW teams to define RTOS, APIs, task scheduling, real‑time operating system configuration, services usage. • Define uplink command formatting, downlink telemetry packet structures, and ground‑segment data‑handling interfaces (mission‑control servers, data‑archiving pipelines). • Coordinate with the TT&C/PDT engineering and Ground Segment ICDs to ensure end‑to‑end data integrity. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft level C&DH tests. • Execute functional tests, bus‑protocol compliance, SIL and HIL campaigns. • Manage anomaly investigations, root‑cause analysis, and corrective‑action implementation. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder Configuration, Documentation & Standards Management • Author and maintain C&DH standards (bus protocols, data‑format conventions, redundancy policies). • Ensure all artefacts, analysis and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support launch‑pre‑launch and early‑orbit checkout, validate satellite functions, HK and nominal operation • Support and analyse on‑orbit telemetry, update filter parameters as needed. • Support SOOH development and associated operator trainings Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of C&DH engineering experience on LEO/MEO/GEO platforms. • Deep knowledge of spacecraft data-bus standards: SpaceWire, MIL-1553, CAN-A, Ethernet, CCSDS packet telemetry/command and PUS services. • Knowledge in processor, FPGA, firmware and embedded • Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Mimir Query, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must. Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way Experience with developing software that runs in the Cloud or experience with systems engineering Experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Comfortable with microservices architecture and distributed systems Experience and comfort developing with LLMs like Claude and Codex on your day to day Bonus Points For: Experience working with Kubernetes Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Familiarity with the concept of infrastructure as code Compensation & Rewards: In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Staff Backend Engineer - Mimir Query, Databases This is a remote position. We are looking for candidates in the USA time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are Mimir for metrics , Loki for logs , Tempo for traces , and Pyroscope for profiles . Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics , Grafana Enterprise Logs , and Grafana Enterprise Traces . They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Mimir Squad The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project , and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What will you be doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial idea all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running Support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must. Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well Experience with leading and delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven and collaborative way Experience with developing software that runs in the Cloud or experience with systems engineering Experience with being on-call and following the DevOps model Experience writing clean, robust, and performant software that is easily maintained by others Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Comfortable with microservices architecture and distributed systems Experience and comfort developing with LLMs like Claude and Codex on your day to day Bonus Points For: Experience working with Kubernetes Experience working with queue systems, e.g. the Kafka protocol Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects) Familiarity with the concept of infrastructure as code Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 186,368 - CAD 223,642 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom; Ireland; Poland Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar. OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Canada; United States Tasks summary: Architecture Concept & Requirements • Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI). • Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Detailed Design • Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity). • Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection). • Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures. • Negotiate ICDs and interface agreements with external thruster vendors and component suppliers. Modeling & Simulation • Support or Develop 1‑D/3‑D plume models and perform reliability prediction. Software & Control • Define command and telemetry interfaces for EP & health‑monitoring telemetry. • Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms. Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Negotiate and manage ICDs with platform subsystems and supplier teams. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests. • Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder Configuration, Documentation & Standards Management • Author and maintain client's EP standards (thruster qualification, PPU design, contamination limits). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. Launch-Site, On-Orbit & Operations Support • Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping. • Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans. • Support SOOH development and associated operator training. Required Qualifications: · B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms. · Strong knowledge of EP thruster families and their performance characteristics. · Experience with propellant storage & feed-system design (tanks, valves, micro-valves). · Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. · Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. · Experience with Confluence and JIRA. · Demonstrated capability to efficiently work with little to no supervision · Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. · Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English). · Support the Spacecraft operations team in critical phases

Location: Poland; Canada; Bulgaria; Ukraine; Hungary; Czechia; Ireland Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Collaboration and partnership are vital to how ClickUp operates. A significant portion of your responsibilities will include working closely with members of the backend team and Integrations team to develop features together. Engineers at ClickUp are also responsible for the quality of their own code, so you will work with a QA counterpart to ensure all edge cases are tested. We’re scaling quickly, so we’re recruiting teammates who share our core values, know how to get sh*t done, and add to our very driven culture. You should be proficient in using one or more of the modern JavaScript frameworks (Angular//Vue/etc.) and have a strong understanding of building reusable components and developing for performance. The Role: - Build features in Angular 2+ while collaborating with designers, engineers, and product - Architect efficient and reusable front-end code that drive the ClickUp user experience - Manage individual project priorities, deadlines and deliverables - Identify and resolve performance and scalability issues - Build and maintain unit and integration tests - Fixing bugs fast and finding robust solutions to tackle hard problems - Follow established practices for maintaining state inside ClickUp Qualifications: - 8+ years working with JavaScript and one or more modern frameworks (Angular 2+ required) - Experience with Redux style state management NgRx, Typescript, and RxJs - HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility - A strong self-starter, operationally-focused; a problem-solver - Excellent interpersonal, written, and oral communication skills - You’ve mentored teammates on new ways to deepen their technical craft Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Poland; Canada; Bulgaria; Ukraine; Hungary; Czechia; Ireland Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Collaboration and partnership are vital to how ClickUp operates. A significant portion of your responsibilities will include working closely with members of the backend team and Integrations team to develop features together. Engineers at ClickUp are also responsible for the quality of their own code, so you will work with a QA counterpart to ensure all edge cases are tested. We’re scaling quickly, so we’re recruiting teammates who share our core values, know how to get sh*t done, and add to our very driven culture. You should be proficient in using one or more of the modern JavaScript frameworks (Angular//Vue/etc.) and have a strong understanding of building reusable components and developing for performance. The Role: - Build features in Angular 2+ while collaborating with designers, engineers, and product - Architect efficient and reusable front-end code that drive the ClickUp user experience - Manage individual project priorities, deadlines and deliverables - Identify and resolve performance and scalability issues - Build and maintain unit and integration tests - Fixing bugs fast and finding robust solutions to tackle hard problems - Follow established practices for maintaining state inside ClickUp Qualifications: - 5+ years working with JavaScript and one or more modern frameworks (Angular 2+ required) - Experience with Redux style state management NgRx, Typescript, and RxJs - HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility - A strong self-starter, operationally-focused; a problem-solver - Excellent interpersonal, written, and oral communication skills - You’ve mentored teammates on new ways to deepen their technical craft Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Задачи: — Архитектура и развитие backend-систем на Golang, поддерживающих миллионы активных пользователей. — Проектирование чистых, надежных и интуитивных REST API для frontend и других инженерных команд. — Создание и оптимизация сложных потоков данных, кэширования, систем обмена сообщениями и сервисов с критичной производительностью. — Поддержка и расширение существующих сервисов на Node.js в процессе миграции на Golang. — Выявление узких мест в производительности и улучшение масштабируемости и надежности backend. — Взаимодействие с командами продукта, frontend и данных для реализации и итерации функций. Требования: — Опыт разработки backend-систем в масштабе не менее 5 лет. — Глубокие знания Golang, включая параллелизм, производительность и архитектуру backend. — Опыт проектирования масштабируемых архитектур и REST API. — Глубокие знания PostgreSQL, ClickHouse и Elasticsearch. — Практический опыт работы с Redis, RabbitMQ, Nginx, Kubernetes и пайплайнами деплоя. — Опыт с Node.js и мобильными приложениями будет преимуществом. Условия: — Полностью удаленная работа с гибким графиком. — Неограниченный отпуск. — Высокая автономия, ответственность и фокус на измеримых результатах. — Быстрая среда с возможностью влиять на архитектуру и продукт. Процесс найма: — 45-минутный первичный звонок с командой People. — 90-минутное техническое интервью с техническим лидером. — 60-минутный разговор с CTO.

Location: Espoo; Berlin Workplace: Hybrid ROLE HIGHLIGHTS: - Senior/Staff Platform Observability Engineer - Location: Espoo, Finland / Berlin, Germany - Department: Platform & Release Engineering - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO,) WHY THIS ROLE MATTERS: As a Platform Observability Engineer, you’ll make the health of ICEYE’s systems visible, actionable, and reliable. You’ll build and evolve the observability foundation across metrics, logs, and traces, helping teams detect issues early, understand failures faster, and operate their services with confidence. Your work will go beyond dashboards and alerts. You’ll reduce operational noise, eliminate blind spots, and give product teams the tools and autonomy to run reliable services. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Own and continuously improve a unified, production-grade observability stack covering metrics, logs, and traces, giving every team a consistent, self-service way to understand and operate the health of their services. - Build and maintain trusted alerting by tuning alerts against clear SLOs/SLIs, reducing noise, improving ownership and ensuring real issues surface early. - Define, document, and drive adoption of instrumentation standards covering metric naming, label cardinality, structured logging, and distributed tracing with OpenTelemetry. - Enable product teams to diagnose and resolve incidents faster through well-designed dashboards, runbooks, hands-on support, and practical observability guidance. - Run the observability platform like a product, owning its roadmap, interfaces, reliability, scalability, and cost across areas such as retention, sampling, and cardinality. - Provide clear technical direction for observability across the engineering organisation, making pragmatic architectural trade-offs and helping teams adopt platform capabilities effectively. WHAT WE’RE LOOKING FOR Must haves: 1. Observability platform ownership at scale 6+ years in Platform Engineering, Observability, or infrastructure roles, with end-to-end ownership of a production observability stack (for example the LGTM stack - Loki, Grafana, Tempo, Mimir/Prometheus - or an equivalent metrics/logs/traces platform) at scale. - Instrumentation & telemetry: OpenTelemetry adoption, metric and label design, structured logging, and distributed tracing across complex, multi-team systems. - SLO/SLI & error budgets: dashboards and alerting that surface real problems early while minimizing noise and false positives. - Platform as a product: treating other engineering teams as customers, with clear interfaces and a roadmap shaped by their needs. - Alerting & reliability attitude: comfortable with on-call, driving blameless learning from incidents, and continuously tuning signal quality instead of letting alert fatigue set in. 2. Software engineering foundation - A background that includes time spent writing and shipping production software, bringing engineering instincts to building tooling and automation rather than only operating what already exists. - Proficiency in at least one backend language (for example Python or Go) for automation, tooling, and building internal observability capabilities. 3. Long-term ownership of your own decisions Demonstrated experience owning the long-term consequences of your own architectural and tooling decisions - having lived with what you built through its maintenance, upgrades, and failure modes, not just its initial rollout. 4. Communication Excellent written and verbal communication skills in English, able to explain complex system behavior clearly to both engineers and non-technical stakeholders. Nice to haves: 1. Platform & telemetry breadth - Rancher, Istio, and Kubernetes-native observability patterns (service mesh telemetry, sidecars, eBPF-based tooling). - Bridging hybrid environments across AWS and on-prem platforms such as vSphere/VxRail. - Managing cost and cardinality on large-scale telemetry pipelines (retention policies, sampling, downsampling). 2. Practices that spread beyond your own team - Defining SLO/SLI frameworks or observability standards adopted across multiple teams. - Running or contributing to incident response and blameless postmortem processes. - Mentoring engineers and raising engineering maturity through technical leadership and enablement. 3. Domain context Background in regulated, security-sensitive, or mission-critical domains. APPLICATION PROCESS - Recruiter interview - Hiring manager interview - Task Assignment + Technical interview - Stakeholder interview - Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Montreal, Canada Tasks summary: Architecture Concept & Requirements Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI). Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics. Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Detailed Design Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity). Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection). Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures. Negotiate ICDs and interface agreements with external thruster vendors and component suppliers. Support or Develop 1‑D/3‑D plume models and perform reliability prediction. Modeling & Simulation Software & Control Define command and telemetry interfaces for EP & health‑monitoring telemetry. Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms. Cross‑Functional Coordination, Stakeholder & Program Interaction Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. Negotiate and manage ICDs with platform subsystems and supplier teams. Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests. Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling. Technical Leadership & Mentorship Mentor, guide junior engineers and interns. Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to MDA’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management Author and maintain MDA EP standards (thruster qualification, PPU design, contamination limits). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation. Launch-Site, On-Orbit & Operations Support Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping. Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans. Support SOOH development and associated operator training. B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms. Strong knowledge of EP thruster families and their performance characteristics. Experience with propellant storage & feed‑system design (tanks, valves, micro‑valves). Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. Experience with Confluence and JIRA. Demonstrated capability to efficiently work with little to no supervision Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English). Support the Spacecraft operations team in critical phases. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms. • Strong knowledge of EP thruster families and their performance characteristics. • Experience with propellant storage & feed system design (tanks, valves, micro valves). • Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little to no supervision • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English). • Support the Spacecraft operations team in critical phases.

Location: Montreal, Canada ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. * OPEN TO US AND EUROPE BASED CANDIDATES * The selected candidate will contribute to the entire payload lifecycle — from architecture definition and requirement specification to integration, verification, and in-orbit validation. The role requires good understanding of both digital signal processing and RF payload architectures, especially involving Software Defined Radio (SDR) and Direct Radiating Array (DRA) systems. TASK • Define, analyze, and validate system and subsystem requirements for digital telecommunications payloads. • Develop and execute verification plans, including defining test strategies, writing test procedures, and analyzing results. • Lead or support system-level payload test campaigns, both at equipment and spacecraft level. • Interface with payload hardware and software teams to ensure correct implementation and traceability of requirements. • Participate in technical reviews and support anomaly investigation and resolution. • Work with multi-disciplinary teams including RF, digital, embedded software, FPGA, and systems engineering. • Contribute to technology evolution by identifying opportunities for design optimization and innovation. MUST HAVE • Bachelor’s degree in Electrical Engineering, Telecommunications, Aerospace Engineering, or a related field. • 5 years+ of experience in telecommunications systems, particularly in digital payloads. (experience outside of the Space industry will also be considered) • Strong expertise in requirements verification by test, including practical experience in developing and executing test plans. • Solid understanding of digital payload architectures, including SDR-based flexible processors and beamforming using DRA. • Familiarity with hardware and software tools used in payload verification, such as: Vector Network Analyzers (VNA) and Spectrum Analyzers for RF testing, Baseband signal generators, Channel Emulators, and BER testers, Python, MATLAB, or LabVIEW for test automation and data analysis, SCPI, VISA, and similar interfaces for instrument control • Good understanding of FPGA-based systems and embedded software architectures is a plus. • Must be eligible to work in Canada, capable of obtaining necessary security clearance. COMPLIMENTARY SKILLS/KNOWLEDGE • Previous experience in Space or Constellation Operations • Development and testing of new automated testing methodologies • Knowledge of requirements Management tools such as DOORS/Windchill/Jama • Demonstrated capability to efficiently work autonomously and with little to no supervision • Written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Remote, South Korea GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Support Engineer at GitLab, you'll sit at the intersection of Support and Engineering, helping customers solve complex, real-world challenges while running GitLab in diverse and demanding environments. You'll join the Engineering department and work directly with customers as they encounter edge cases. You'll dig into Linux systems, logs, and our Ruby on Rails codebase to troubleshoot performance issues, reproduce bugs, and contribute merge requests that fix problems at the source. You'll also improve our documentation, refine support processes in our issue tracker, and collaborate closely with Product, Development, Infrastructure, Customer Success, and Sales so customer feedback directly shapes our roadmap. In your first year, you'll build deep expertise across a range of GitLab implementations, strengthen our ability to keep customers productive on both self-managed GitLab and GitLab.com software as a service, and help create tools and content that make support more efficient and effective for the entire team. Some examples of our projects: A tool to automatically check a GitLab Omnibus install for known issues A solution to capture the state of a customer’s server for easier troubleshooting A tool which turns log files into interactive tables to easily sort and filter columns A ChatOps feature that makes it easier to identify user accounts on GitLab.com What you’ll do Act as an escalation point for difficult customer interactions and lead the resolution of complex issues through Zendesk tickets, merge requests, email, and video calls. Mentor and guide teammates on complex troubleshooting and customer communication through pairing sessions and cross-team collaboration. Advocate for and drive improvements to support practices, product quality, and reusable documentation and support content that directly influence team objectives. Collaborate with Product, Development, Infrastructure, Customer Success, and Sales teams to shape product goals, roadmaps, and priorities while driving fixes and new features. Participate in regular weekday and weekend on-call rotations during daytime hours, providing emergency support for self-managed GitLab and software as a service customers and coordinating incident communications with the GitLab.com Production team. Participate in hiring by reviewing applications and assessments and joining interviews to help grow the Support team. What you’ll bring Experience owning complex, customer-facing technical cases from initial contact through triage, reproduction, bug reporting, resolution, and clear customer communication, including difficult or escalated interactions. Strong experience with Linux systems administration, scripting, Git, and continuous integration and continuous delivery in production or customer environments, with the ability to investigate issues at both the infrastructure and application levels. Ability to mentor teammates on complex troubleshooting and customer communication through pairing sessions, case reviews, and cross-team collaboration. Experience collaborating with Product, Engineering, and Sales teams to turn customer feedback into product fixes, feature improvements, and roadmap priorities. Familiarity with DevOps practices and technologies such as Kubernetes and serverless computing, and an understanding of how different GitLab implementations operate and affect customers. Demonstrated ability to learn, collaborate across teams, and apply transferable skills from related technical support or engineering roles. Fluent Korean language skills (required) About the team We're a globally distributed group of Support Engineers across the Americas, Europe, the Middle East, and Africa, and Asia-Pacific. We work asynchronously and stay connected through pairing sessions, one-on-one meetings, coffee chats, and Slack. We structure our shifts to support our personal lives while meeting customer needs. Thanks to GitLab’s transparency value, you can see what we are working on and how we operate on our Support Team page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Perm; Kuala Lumpur; Baku; Vladivostok Workplace: onsite ABOUT YOU   We are looking for an Intermediate / Senior Frontend Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and platform-level experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Build and evolve scalable, high-performance web applications using React and Node.js Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences. Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools. Own features end-to-end — requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency. Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards. Contribute to  modernization, refactoring, and performance enhancements to keep the platform scalable, maintainable, and aligned with product goals. Contribute and enforce engineering best practices across coding, documentation, testing, and review processes. Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability. Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements. Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling. Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders. Qualifications & Skills: 4+ years of software development experience with strong expertise in modern frontend engineering at scale. Deep hands-on knowledge of React including component architecture, SSR patterns, RSC, and complex UI data flows. Proficiency with Node.js and MongoDB for server-side functionality. Strong understanding of modern styling systems and theming approaches (vanilla-extract, styled-components, design tokens). Solid TypeScript practices, including strict typing, shared contracts, and schema validation (Zod or equivalent). Experience with Module Federation. Good understanding of bundling and compilation, experience with webpack/rollup/vite/esbuild Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress). Good understanding of backend integration patterns (REST, GraphQL, RPC-style APIs). Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Nice to Have: Experience building platforms or tooling used across multiple frontend teams (design systems, template engines, configuration frameworks). Experience with react-native/mobile experience. Knowledge of performance optimization strategies for client-side and server-side rendering. Understanding of accessibility, internationalization, and semantic UI design best practices. Experience developing SDKs, CLI tools, or developer-facing automation. Familiarity with event-driven UI flows, real-time interfaces, or edge-rendering strategies. Background improving developer platforms, observability stacks, or performance monitoring systems. Comfort with UI-as-data approaches and leveraging AI-assisted/no-code tooling to accelerate feature delivery. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Helsinki; Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. The Voodoo Ad-Network is an autonomous product group of around 60 highly driven professionals with an ambitious mission: building top-tier ad network services. Our primary goal is to leverage Voodoo's massive first-party data ecosystem to optimize and scale monetization. We are in a rapid growth phase, expanding into new ventures such as opening to external inventory, penetrating the external advertiser market, and driving social network monetization following our recent acquisition of BeReal. To support this incredible trajectory and promising early results, we are scaling our team. The Models team is a core element of the targeting performance. It leverages machine learning and a strong business understanding to directly impact the product's financial performance. It's composed of mostly senior Data Analysts, Analytics Engineers, Data Engineers and Data Scientists/ML Engineers that iterate together on finding and building the next performing iteration. This role can be either Paris or Helsinki based and done in a hybrid setup. ROLE We're looking for a Senior ML Engineer to join our Models team. You will be joining a dedicated squad of Data Engineers, Data Scientists, and ML Engineers focused on building and maintaining the ML training infrastructure that powers our ad-targeting models from data preprocessing through model deployment to production monitoring. In this role, you will be leading the following topics: - Architectural Ownership: Take end-to-end ownership of highly visible projects from ideation to production release. This includes feature scoping, timeline estimation, architecture design, and benchmarking new technologies. - Pipeline Engineering: Build and maintain quality data and ML pipelines to align with ever-evolving business and machine learning needs. Optimize training pipelines for performance, memory efficiency, and cost (e.g. spot instance strategies, efficient data loading, preprocessed artifact reuse). - Data Scientists Enablement: Enable Data Scientists to iterate faster by providing reusable, well-tested pipeline components (transformers, dataloaders, training utilities) and reviewing their contributions to shared code. Extend dataset capabilities: integrating new data sources, scaling feature windows, and increasing training data volumes without breaking pipeline constraints. - Deep Learning Development: Contribute to deep learning development: GPU workload orchestration, custom PyTorch training loops, and model architecture support. - ML Lifecycle & Reproducibility: Maintain reproducibility and consistency across the ML lifecycle: versioned configs, experiment tracking, and online-offline consistency tooling. - Scalability & Reliability: Collaborate with infrastructure teams on scalability — node pools, resource monitoring, CI/CD migrations. Participate in weekly rotation to triage and resolve alerts from Airflow, dbt, and related systems. - Agile Collaboration: Thrive in a fast-paced agile environment with rapid decision-making processes. You will collaborate daily with back-end developers, data scientists, infrastructure engineers, and product managers. - Mentorship & Team Culture: You will actively contribute to our engineering culture, share knowledge, and ensure every team member feels comfortable, supported, and empowered to grow in their role. PROFILE We are looking for a Senior ML Engineer who deeply understands both the ML training lifecycle and the specific challenges of putting machine learning models into production at scale. - 5+ years minimum of experience as an ML Engineer or a similar role - End-to-End ML Ownership: Problem framing, baselines, experimentation, deployment, and iteration - Python Proficiency: Extensive knowledge for ML pipeline code: preprocessing, training/evaluation workflows, experiment utilities, and reproducible configs - Training Mechanics: Comfortable implementing training mechanics where needed (custom steps/metrics, dataloading patterns, performance-conscious preprocessing), not only notebook-level prototyping - ML Frameworks: Practical experience training and evaluating models with scikit-learn, LightGBM, PyTorch for deep learning - Performance Optimization: Experience optimizing memory usage during data preprocessing and model training - Experiment Management: Hyperparameter tuning, experiment tracking, and reproducible training (configs, seeds, versioning) - Cloud & Infrastructure: Experience with Amazon Web Services. Familiarity with scalability, reliability, and security topics - ML Production Awareness: Understanding of the challenges involved in running ML models in production (familiar with topics such as feature store, training-serving skew, etc.) - Model Serving: Experience with model serving infrastructure (real-time or batch inference, latency/throughput optimization) is a plus - Excellent communication skills in English OUR STACK Python · Scikit-learn · LightGBM · PyTorch · DBT · Spark · MLflow · Prometheus · Terraform · Airflow · Kubernetes · Amazon Web Services BENEFITS - Excellent benefits that will depend on the country you're based in