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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: New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. We’re now launching AI Labs - an incubator-style team operating like a startup within the company - to expand our reach and provide cutting-edge technical solutions to cities in areas beyond transit. As a Staff Engineer at Via, you'll be a founding member of Via's AI Labs. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and our partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale - without the constraints that usually come with it. If you're experienced at building AI products end-to-end and you're energized by the idea of doing that with a blank canvas, this is the role for you. About the Role: Build and ship production-grade AI products end-to-end - owning everything from problem framing and data pipeline design through to deployment and iteration in live environments. Work closely with our partners in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions. Lead technical scoping workshops, directly interfacing with city leaders to solve challenging local problems with agentic workflows. Work across a fast-moving and varied roadmap, contributing to intelligent tooling involving data consolidation, predictive modelling, real-time decision-making, and LLM-powered experiences. Collaborate directly with product, data science, and operations teams to identify and prioritize the highest-impact AI opportunities across the business. Write clean, scalable backend code that powers AI-driven features - designing APIs, managing data flows, and ensuring your systems perform reliably at scale. Help shape the technical culture of AI Labs from the ground up - contributing to how the team builds, reviews, ships, and iterates. Stay close to the frontier of AI development and bring new ideas, tools, and approaches into the team proactively. About You: You have 10+ years of hands-on experience building full stack applications and - with a track record of owning features end-to-end rather than working in isolation on models or research. 3+ years of working with AI tools and/or building AI powered products You have deep expertise across the AI stack - including LLMs, predictive modelling, and the data infrastructure required to support them in real-world environments. You're a strong engineer at your core - comfortable designing scalable APIs, working with distributed systems, and writing code that is clean, maintainable, and built to last. You're energized by ambiguity and early-stage environments - you don't need everything to be defined to do great work, and you take ownership without being asked. You bring the communication skills to work cross-functionally and the intellectual curiosity to keep pushing the boundaries of what's possible with AI. You thrive when working directly with users and customers, and are comfortable with travel to collaborate on-site. Compensation and Benefits (US only) Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $250,000 - $300,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

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: Budapest, Hungary; At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! ML Engineering Manager Department: AI Lab/Machine Learning Signifyd AI Lab (SAIL) builds the ML products behind Signifyd's fraud and risk decisions. We improve the predictive performance of the models that decide e-commerce transactions at scale, we scale the ML capabilities of our Risk organization, and we push into the new markets and problem spaces that expand the market Signifyd can sell to. Every space in this department is a mix of experimentation, code, and statistics.  We don't create walls between the people who have the ideas and the people who build them. The team splits its time between near-term continuous model improvements and longer-horizon innovation bets to improve the company’s capabilities in 2027 and beyond.  These bets surface from the ground up in an environment where we believe those closest to the problems are best placed to understand how to solve them. We’re hiring a manager to lead one of the teams in this department. Who You Are You are a hands-on Player-Coach who thrives in ambiguity—where the roadmap is a set of hypotheses, and the answer to "will this work?" is "we'll know in three weeks." You bring: Technical Credibility (The "Player"): You stay close enough to the work to have a grounded opinion. You read the code, inspect evaluation pipelines, and can immediately tell the difference between a statistical result that will hold up in production and one that just happened to look good on a single test window. Leadership & Rigor (The "Coach"): You hold a high bar for evidence without becoming a bottleneck to experimentation. You mentor engineers to own their code quality, and you translate complex ML performance metrics into clear business outcomes for Risk leadership. Executive Judgment: You know how to balance research bets against quarterly delivery, disagree and commit when decisions are made, and build an environment where well-documented negative experimental results are celebrated as real progress. Responsibilities: Lead and grow the team Guide career development, mentor the team, manage conflicts, and nurture a positive, collaborative environment across a geographically distributed organization. Engage in regular 1:1s, give constant feedback, and create a safe environment for open discussion — including the discussions that follow an experiment that didn't work. Encourage a culture of learning and improvement, provide technical guidance, and support team members in both technical and soft skills. Identify and address gaps in team capabilities and processes to enhance team efficiency and success. Run a portfolio of experiments, not a delivery queue Partner with your tech leads, who own and drive the technical roadmap for their areas. Your job is not to be the sole source of ideas — it is to pressure-test them, sharpen them, make sure the strongest ones get resourced, and make sure the people generating them have the room and the support to do it. Make the calls the roadmap can't make for you: which hypotheses get compute and headcount, which get another iteration, and which get a clear, documented "no." A well-run negative result is a real outcome, and we treat it as one Manage the trade-off between a committed improvement target you must hit this year and research bets that may not pay off for several quarters. You will re-cut that budget as evidence arrives, and you'll be able to explain the reasoning to both your team and your stakeholders. Bring rigor to how the team decides something worked. Offline results have to predict online behavior; a strong point estimate on a single evaluation window is a starting point, not a conclusion. Own delivery on a cadence. Independent experimental workstreams have to converge into a release candidate, get evaluated end to end, and ship — including the hard call to leave a workstream out of a release when it isn't carrying its weight. Set direction from data, in partnership with Risk Work directly with our Risk partners as your primary stakeholders. Our commitments to them are explicit, measured, and written down; we deliver model performance, and they own thresholds, rules, and how decisions are applied to merchants. Operate with a high degree of autonomy. Our direction comes from measured performance against those commitments and from what our own experiments tell us, not from a product backlog handed to the team. You are expected to know what your team should be working on and to defend it, rather than wait to be told. Partner with our platform and infrastructure engineering teams on the feature systems, training pipelines, and experimentation tooling your team depends on — and be clear about where the boundary sits between what SAIL should own and what belongs to Engineering. Represent your team's results to a broad audience: engineering leadership, Risk leaders, and the wider company. Requirements: Roughly 5+ years in machine learning, data science, or ML-adjacent software engineering, including at least 3 years of people management — guiding career development, addressing conflicts, and building a healthy, high-performing team. Genuine depth in at least one of engineering and applied statistics, and real working competence in the other. We are not hiring a manager of analysts, and we are not hiring a manager of a pure software team. Our engineers train production models that decide serious traffic, and we expect their manager to be able to engage with that work at a technical level. Demonstrated ability to lead work under real uncertainty: setting a direction when the answer isn't known yet, changing course when evidence says to, and communicating both without eroding your team's confidence. Excellent written and verbal communication. Much of our decision-making happens in documents, and we expect managers to write well. Autonomy in recognizing priorities and evaluating the impact of outcomes, and comfort working without close supervision in a fast-moving environment. Commitment to quality. You take pride in work that excels in correctness, reproducibility, and reliability, and you set that standard for your team. Candidates must be based in Hungary #LI-Hybrid Benefits: Stock Options Annual Performance Bonus or Commissions Pension matched up to 3% ‘Day one’ access to great health insurance scheme Paid team social events Mental wellbeing resources Dedicated learning budget through Learnerbly Signifyd's Applicant Privacy Notice

Location: Warszawa, Poland; Rīga, Latvia; Tallinn, Estonia; Vilnius, Lithuania Workplace: fully Join an International Banking Project as a Senior Data Engineer. Project/Client: Banking Location: Baltic States and Poland Citizen (remote) Start Date: ASAP Duration: 12 months Language: English Role Overview: We are looking for an experienced Senior Data Engineer to join a cross-functional Agile team within the banking domain. The role focuses on designing and improving end-to-end data solutions across AWS cloud and on-premises ( Oracle DB ) environments, working with Airflow , dbt , and SAP Data Services , and contributing to Data Mesh and Medallion architecture implementations. Key Responsibilities: Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments Build and optimize ETL/ELT pipelines and data architectures using Airflow , dbt , and SAP Data Services Support modernization and migration of legacy data systems toward cloud-native architecture Ensure high standards of data quality, security, and performance across all data workflows Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions Perform code reviews, implement monitoring and alerting, and resolve data pipeline defects Participate in the EOD ROTA rotation, with availability for incident resolution until 23:00-24:00 Must-Have Requirements: Proven hands-on experience with SQL and Python Hands-on experience with cloud platforms - AWS , Azure , or GCP Good understanding of data pipeline tools such as Airflow or dbt Working knowledge of enterprise data platforms: Oracle DB , SAP IQ , SAP Data Services , and SAP Business Objects Knowledge of solution integrations - real-time, message-based, and event-driven architectures - including bridging legacy systems with modern data platforms Exposure to test automation and DevOps practices, including infrastructure as code, security best practices, CI/CD , and SDLC Experience with Data Products deliveries, Medallion architecture , and Data Mesh architecture Strong communication and collaboration skills Nice to Have: Experience within the banking / customer business domain Experience with container orchestration tools: Kubernetes , Docker Understanding of streaming data pipelines and platforms: Kafka , Spark , Flink Experience with reporting tools such as Power BI Experience with both SQL and NoSQL databases Java development experience 💼 What we offer Model: B2B contract with Bonapolia- one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Location: Dallas, TX; Des Moines, IA; Fayetteville, AR; Lincoln, NE; Little Rock, AR; North Kansas City, MO; Oklahoma City, OK; Omaha, NE; Overland Park, KS; Remote; Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Join our dynamic industrial team at Olsson, where we combine innovation with excellence in the industrial sector. Recognized as one of the " Best Places to Work ," Olsson provides a collaborative environment for engineers to lead diverse challenges and contribute to impactful projects. We serve a diverse client base ranging from local municipalities to private industry, creating opportunities to explore different sectors, project types, and career interests. Opportunities include agricultural , advanced manufacturing , semiconductors , mining , pharmaceuticals , wastewater , and bioenergy . At Olsson, we believe in Engineering Possibilities by turning client ideas into reality while empowering our teams to innovate, grow, and make a lasting impact across evolving industries. We are seeking an Associate Structural Engineer with strong technical curiosit y and a desire to grow their engineering skills. In this role, you'll work with a team of experienced engineers to deliver projects, solve complex challenges, and take on increasing responsibility in engineering analysis, design, and project coordination. As a continuing developmental Engineer-in-Training (EIT), you'll apply established engineering principles, contribute to practical design solutions, and continue building the technical and professional skills needed for long-term career growth. Primary Duties and Responsibilities: Design Solutions by developing calculations, models, and construction documents to deliver safe, practical industrial facilities. Deliver Projects by supporting design, coordination, and project documentation for successful project outcomes. Solve Challenges by applying engineering principles and collaborating with experienced engineers to develop effective solutions. Collaborate Across Teams with engineers, designers, clients, and contractors to advance project goals. Grow Your Expertise through hands-on experience with structural analysis, design software, and real-world projects. Support Quality Delivery by preparing calculations, reports, and documentation that meet project requirements. Develop Others by mentoring interns and sharing technical knowledge. Gain Field Experience through site visits that verify conditions and support design and construction activities. Qualifications You are passionate about: Collaborating with coworkers to develop custom, impactful solutions for clients. Playing an active role in project success – from understanding scope, contributing to designs, and creation of project documents. Continuously learning and developing new skills to grow as an engineer. Supporting the industries that keep our communities strong. Working in a fast-paced environment where each day brings new challenges and opportunities. Advancing team goals through a willingness to take on new challenges. You bring to the team: Strong communication skills. Ability to contribute and work well with a team. Excellent interpersonal and problem-solving skills. Bachelor’s degree in Civil or Architectural Engineering with a Structural emphasis. A minimum of one year of engineering experience. Must possess an Engineer Intern (EI) certificate. Experience developing detailed 3D models and construction documentation in Autodesk Revit. Familiar with ACAD Software, RISA 3D, EnerCalc, MS Excel, and Hilti/Dewalt design. #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Below you can find more information about the teams we're hiring for: Language Learning: The Language Learning Pillar owns the core learning experience on Duolingo — the lessons and immersive experiences where language learners spend a majority of their time in the app. Our goal is to make these sessions as effective and engaging as possible by continuously improving how we teach through new exercise types, smarter practice of skills, better scaffolding and personalization to help learners build foundational skills in a new language. As an engineering manager in this pillar, you'll lead a team of engineers working on high-impact, cross-functional problems at the intersection of engineering, product, and pedagogy. We're looking for leaders who are passionate about improving how people learn, and who bring strong technical judgment along with the people-management skills to build a high-performing, collaborative team culture. 🧠  You will... Co-lead a cross-functional team with partners in product management, aligning on strategy, priorities, and success metrics for features that drive meaningful user impact. Drive execution of projects from spec to implementation, experimentation/analysis, and ongoing ownership, while ensuring infrastructure reliability, scalability, and observability. Use data and rapid experimentation to inform decisions; partner with internal stakeholders to design A/B tests and translate insights into product improvements that measurably impact key product KPIs. Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. Set engineering quality standards and processes that balance speed and long-term maintainability; proactively manage tech debt, product quality, and operational excellence. Collaborate closely with product, design, research, and other engineering teams to deliver user experiences that serve user needs while being impactful towards business metrics. Define team OKRs, ruthlessly prioritize, and remove roadblocks to enable teams to do their best work. ✅  You have... Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. A track record of shipping multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality. Strong product instincts and comfort in highly experimental, data‑driven environments; experience defining metrics and running A/B tests with analytics or data science partners. Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates. Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices. A Bachelor's degree in Computer Science or a related technical field. The ability to work from or relocate to Pittsburgh, PA or New York, NY. ⭐  Exceptional candidates will have... Experience leading cross-functional teams focused on driving core product outcomes in consumer products. Experience setting team OKRs and operating cadences that consistently deliver outsized impact on company‑level metrics. Background dealing with ambiguity and managing teams or projects with broad cross-functional scope. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $204,000 — $306,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

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

Location: Bangalore, India 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. 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 .

About Us & The Team Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models. We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning. Key Responsibilities • LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT). • NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers. • Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation. • Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX). Requirements • 1+ years of hands-on experience as NLP / AI / Machine Learning engineer. • Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization. • Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn. • Experience building data preprocessing pipelines and working with structured/unstructured text data. • Practical knowledge of Docker, Linux, and Git. • Degree in Computer Science, Data Science, Applied Mathematics. Nice to Have • Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ). • Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS). • Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language. • Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation. What We Offer • Direct impact on sovereign AI development and language technology used at scale. • Official employment in full compliance with the Labor Code of the Republic of Kazakhstan. • Access to high-performance GPU compute clusters for model training and experimentation.

Location: Montreal, Canada Role overview: Our client is seeking a System Engineer to perform design, integration, verification, and operational support of TT&C/PDT subsystems for current and next‑generation remote sensing and communications satellites. The role will interface with spacecraft payload teams, ground‑segment developers, and mission‑operations teams to ensure reliable command delivery, high‑fidelity telemetry acquisition, and robust data handling throughout the satellite life‑cycle. Tasks summary: Architecture Concept & Requirements Define TT&C/PDT functional architecture (command generation, uplink, telemetry downlink, on‑board data handling, RF front‑end). Conduct trade‑studies for modulation schemes, coding, frequency plans, ranging and link budgets. 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. Design & Development Lead detailed design of hardware (TT&C transceiver, RF front‑ends, antenna‑pointing) and software (command sequencer, telemetry parser, health‑monitoring). Perform link‑budget analysis, RF simulation (e.g., STK, Matlab), and error‑budget budgeting. Verify compliance with CCSDS, ECSS, ITU, and regulatory standards. Support Satellite Reference Database development and validation Cross‑Functional Coordination, Stakeholder & Program Interaction Present technical status, risk analyses, and trade‑study results to senior management. Negotiate and maintain ICDs and interface agreements with internal & external suppliers. Support B&P (Phase 0 & pre-Phase A). Integration & Verification (IVV) Develop test plans, procedures, and verification matrices for unit, subsystem, and spacecraft‑level TT&C tests. Execute RF link testing, BER, command latency, and telemetry integrity verification. Manage anomaly investigation, root‑cause analysis, and corrective actions. 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 client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • 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 On‑Orbit & Operations Support Support launch‑pre‑launch and early‑orbit checkout – validate command uplink, telemetry acquisition, and on‑board software hand‑over. Provide real‑time C&T support during nominal and contingency operations. Maintain ground‑segment configuration (gateways, mission control servers, monitoring dashboards). Support SOOH development and associated operator trainings. Required Qualifications: B.Sc. in Electrical Engineering, Aerospace or related field with 8+ years of TT&C/PDT System design experience on LEO/MEO/GEO platforms. Strong knowledge of CCSDS TM/TC packet standards, ECSS telemetry & command protocols, PUS services and ITU frequency regulations. Proficiency in RF link‑budget analysis, S‑band/X‑band/Ka‑band modem architecture. 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: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything they need in their city with the highest level of convenience. At Toters, technology is at the heart of everything we do. Our product teams work every day to build products that make our customers’ lives easier, while our engineering teams continuously develop solutions that make our operations more efficient—helping us serve our customers faster and at the best possible cost. If you are excited to work in a high-growth startup environment and want to be part of a team that is transforming the way customers shop across the Middle East, we would love to hear from you. Role Overview We are looking for a strong Senior Forward Deployed Engineer to act as the bridge between business teams and engineering. The mission of this role is to enable teams across Toters to build products, automate workflows, and solve business problems using our internal AI-powered platform. This role combines software engineering, solution consulting, product thinking, and business enablement. You will work directly with teams across the company to understand their challenges, identify high-impact opportunities, translate them into practical technical solutions, and help teams become increasingly capable of building solutions themselves. You will be responsible for driving platform adoption, identifying and delivering high-value use cases, enabling users, and ensuring that the platform generates measurable business impact. Key Responsibilities Partner with teams across Toters to understand their workflows, pain points, and business challenges. Translate ambiguous business problems into clear product and technical solutions. Rapidly prototype, build, and launch applications, automations, and workflows using the platform. Enable non-technical teams to build solutions themselves through onboarding, training, coaching, and best practices. Act as the technical and solution-consulting bridge between business teams and engineering. Identify and prioritize high-value use cases based on business impact, feasibility, and scalability. Work closely with engineering to surface recurring needs, platform gaps, and opportunities for improvement. Drive adoption and engagement of the platform across different functions and teams. Define and track adoption, engagement, and business-impact metrics. Measure the value generated through outcomes such as productivity gains, cost reduction, process improvement, revenue impact, and improved customer experience. Establish best practices and reusable patterns that help teams build solutions faster and more effectively. Key Qualifications 5+ years of experience in software engineering. Strong product and problem-solving mindset, with the ability to move from an ambiguous problem to a practical solution. Hands-on experience building software products, internal tools, automations, or AI-powered applications. Strong understanding of AI, AI agents, workflow automation, and no-code/low-code application development . Ability to translate complex business needs into simple, scalable technical solutions. Strong communication, consulting, and stakeholder-management skills. Comfortable working directly with both technical and non-technical teams. Strong ownership and ability to work independently in a fast-paced, ambiguous environment. Data-driven mindset, with the ability to define success metrics and measure business impact. Strong ability to prototype quickly, experiment, learn, and iterate based on user feedback. Ability to balance speed of execution with scalability, reliability, and maintainability. What Success Looks Like Success in this role means making product building and problem-solving more accessible across Toters. The goal is not simply to build solutions for teams, but to enable teams to build solutions for themselves, while ensuring that what they create is useful, scalable, and connected to measurable business outcomes. A successful Forward Deployed Engineer will help turn our AI-powered platform into a company-wide capability for solving problems, automating work, and rapidly turning ideas into products.

Location: Dubai, United Arab Emirates MIRA CONSTRUCTION L.L.C is seeking a qualified Structural Engineer to join our engineering team. The successful candidate will be responsible for assisting in the design, analysis, and supervision of structural elements in construction projects to ensure safety, reliability, and compliance with industry standards. Key Responsibilities: Assist in structural design calculations and prepare design drawings for various projects. Review and interpret engineering documents, plans, and specifications. Collaborate closely with architects, contractors, and project managers to ensure integrated project execution. Conduct site visits to monitor construction activities and ensure compliance with design specifications. Support preparation of technical reports and project documentation. Assist in resolving any technical issues related to structural engineering during construction. Requirements Bachelor’s Degree in Civil or Structural Engineering. Minimum 3 years of experience in structural engineering roles, preferably within the UAE construction industry. Knowledge of local building codes, regulations, and standards. Proficiency in structural analysis and design software such as STAAD Pro, ETABS, or equivalent. Strong skills in AutoCAD and other drafting tools. Good communication and teamwork abilities. Benefits - Visa provided - Health Insurance provided - Competitive salary

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU Box is building the infrastructure that powers AI agents across our entire product ecosystem — and we need a hands-on engineering leader to run it. The Agent Runtime team is a platform team at the heart of Box's AI-first strategy. You will own the runtime engine that enables every Box product team to deploy and operate AI agents at scale, supporting tenants like Box Notes, Canvas, Automate, and Workflows. This is not a team that ships features in isolation — it is the foundation that makes Box's agent-powered products possible. You will lead a tight-knit team of six engineers (a hybrid of software engineers and ML engineers), work cross-functionally with product and engineering leaders across the company, and present weekly progress directly to VP-level stakeholders. If you are energized by fast-moving, ambiguous environments where the work you do has immediate and visible impact on the business, this is the role for you. WHAT YOU'LL DO Lead and grow a six-person hybrid team of software engineers and ML engineers building and operating Box's agent runtime platform. Own the onboarding of internal tenant teams onto the agent runtime, partnering closely with PMs and engineering managers across multiple product organizations to support their agent deployments. Drive the technical architecture of the agent runtime service, including the context retrieval layer, ensuring reliability, scalability, and quality. Champion an eval-driven development culture — define evaluation frameworks, run agent quality assessments, and use data to guide the team's technical direction. Manage and coordinate the team's on-call rotation to ensure timely and effective incident response, actively participate in escalated on-call incidents to provide leadership and support, and drive improvements by addressing recurring issues to minimize disruptions and deliver an enterprise grade platform. Present weekly plans, progress, and demos to VP-level leadership, maintaining high visibility and accountability for the team's execution. Contribute directly to technical solutions — including code — when the team needs it, modeling the player-coach approach that defines this team's culture. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You bring 7+ years of software or ML engineering experience and have maintained strong technical fundamentals — you are comfortable with distributed systems, ML systems, and can roll up your sleeves and contribute code when the team needs it. You have 2+ years of engineering management experience leading hybrid teams of software engineers and ML engineers, and you lead from the front rather than from a distance. You have hands-on experience with AI agents or LLM-based systems — you can speak fluently about agent architectures (ReAct, planner-based, or similar), evaluation methodologies (recall, precision, NDCG, LLM-as-judge), and the real-world challenges of deploying customer-facing agents in production at scale You thrive in ambiguous, fast-moving environments where priorities shift with the industry — you adapt quickly, keep the team focused, and deliver customer value even when the plan changes. You are a natural cross-functional collaborator who has worked with multiple teams outside your own org — partnering with product managers and engineering leaders across different organizations is where you do some of your best work. Familiarity with LangGraph or other agent harness frameworks (e.g., DSPy, AutoGen) is a plus, though equivalent experience with other agent architectures is equally valued. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $217,000 — $271,500 USD