Infrastructure Network And Supply Engineer Jobs

Job Overview Wargaming is looking for a proactive and hands-on Facility Officer to join our team in Belgrade. In this role, you will help ensure that our office facilities are safe, functional, and well-maintained, supporting smooth day-to-day operations and providing a comfortable working environment for our employees. You will be responsible for carrying out basic maintenance tasks, monitoring the condition of office facilities and equipment, coordinating external contractors and service providers, and assisting with workspace arrangements and office logistics. This role is ideal for someone who enjoys practical work, takes initiative, and can efficiently handle a variety of facility-related tasks. Reports to Head of Workplace & Employee Experience What will you do? Assists with maintaining daily operations of the physical facility. Supports maintenance mechanics and facilities staff by performing “handyman” maintenance duties such as furniture moves, simple electrical projects Works with outside contractors on building and equipment repairs Operates site equipment as needed, using hand and power tools as necessary Coordinates vendors/employees for performance of specialized maintenance, repair, or certification of buildings, infrastructure, tech appliances. Inspects completed work for conformance with contract requirements and safety codes Performs regular checks of buildings, infrastructure, and premises to ensure safety and uninterrupted use Organize storage areas, inventory management Providing support to office team in everyday operations: assist with setting up workspaces for new employees Arrange furniture and office equipment as needed Provide logistical support for meetings, events, and office functions What are we looking for? Previous experience in facility maintenance, handyman services, technical support, or a similar hands-on role. Practical skills in basic

About the opportunity As our new Treasury Trader you will autonomously drive core treasury operations, liquidity and cash management, and investments (with a primary focus on public sector financing). Operating with high autonomy, you will manage the short term Treasury book, central bank operations, assess bank’s liquidity position and monitor key KPIs. Acting as a crucial bridge across Group Risk, Accounting, and Regulatory Reporting, you will also as 1 LoD maintain audit readiness to ensure complete operational stability. You will also enjoy our hybrid work model - flexibility of working both from home, and from our office in Barcelona. In this role, you will: Trade Execution & Portfolio Management: Evaluate potential investment opportunities, then price (Bloomberg experience required), execute, and log transactions across Front Office tools, focusing primarily on public sector financing and short maturities. Proactively manage money market products and the short-term book, including Repo and Reverse Repo portfolios. Liquidity & Reserve Management: Oversee key liquidity functions, including Bundesbank cash pooling, Eurosystem minimum reserve requirements, overnight deposits, credit lines, and short-term portfolio hedging. Payment Systems & Central Bank Operations: Serve as the primary deputy for key payment and settlement infrastructure (Target, ESMIG, MACCS) and oversee central bank account management. Audit, Compliance & Governance: Support internal and external audits, enforce compliance with key banking regulations, and drive First Line of Defense (1LoD) risk management. Product & Tech Initiatives: Lead New Product Process (NPP) implementations, vendor onboarding, core banking system enhancements, and automated reporting solutions using SQL. What you need to be successful: Experience: Strong background in bank treasury operations, liquidity management, and money markets, with a preference for hands-on Repo/Reverse Repo a

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is looking for a Senior Services Solution Architect to lead the development of Advanced Services capabilities across AI data platforms and production AI, helping customers turn enterprise data and AI use cases into validated, production-ready solutions. This is a senior, innovation-focused Professional Services role responsible for identifying customer and market opportunities, shaping technical approaches, validating them through customer engagements and pilots, and maturing successful concepts into scalable, repeatable services and capabilities. You will act as a senior Advanced Services technical authority for AI, working closely with our AI pre-sales teams, Product Engineering, partners, and delivery organizations. You will combine strong AI and data architecture expertise with hands-on experimentation to help customers progress from use-case definition and prototype through data preparation, model and retrieval evaluation, integration, and production. The role sits at the intersection of AI, enterprise data and customer execution. It is not a generic AI application-development role, nor an infrastructure-only role. The focus is applying AI to real customer problems, proving what works, and establishing the data, architecture and operational foundations required to run it successfully in production. What You'll Do Shape AI Services Strategy: Help define the Advanced Services strategy and capabilities

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations that need cross-team coordination Join an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communicate clearly with users at every technical level Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base ar

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Key Overview: As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams. Key Responsibilities Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards). Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization. Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting. Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions. Turn successful r

HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role As an Engineering Manager on the Assessment Platform team, you will lead the technical vision and execution for the systems that power the assessments on HackerRank. This includes giving candidates the ability to work on a real world application running on dedicated VMs with an online ADE built by HackerRank. Doing this for concurrencies of up to 100K candidates is a very interesting technical challenge. You will also partner with product teams across HackerRank to embed these solutions into every product, drive the team's roadmap, and build a high-performing, growth-oriented team that delivers scalable, resilient systems. What you will do Own the vision and roadmap for assessment platform, working closely with Product to shape priorities. Architect systems that reliably handle 100k+ concurrent users. Own delivery commitments and run the team's day-to-day execution using agile practices. Ensure operational excellence: reliability, incident response, security and privacy. Hire, mentor and grow engineers, and set clear career paths for each team member. Define how the team uses AI tools in development to improve quality and speed. Partner with Product, infrastructure and Security teams. Who you are 8+ years

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, makers of the hugely popular open source products Elasticsearch, Kibana, Logstash, and Beats, is growing very fast and so is our marketing team. As a key member of the Marketing AI, Operations and Automation team, you will play a hands-on, critical role in designing and building the automation infrastructure that powers marketing at scale. From connecting systems via APIs and webhooks to calling AI models for reasoning within live workflows, you will be the technical builder behind how marketing teams work smarter and move faster. Elastic is looking for a flexible and adaptable person with the ability to manage a variety of integration and automation challenges across a modern marketing tech stack. This is an ideal position for a self-motivated individual who has hands-on experience with no-code platforms and system integrations, is comfortable working directly with APIs and LLMs, and has the ability to work in a fast-paced, distributed environment. What You Will Be Doing Design and build automated marketing workflows using no-code and low-code platforms, connecting tools across the marketing tech stack so data flows reliably between systems without manual intervention. Integrate marketing platforms, AI content tools, and third-party services via APIs and webhooks, handling authentication, error states, and data formatti

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do Design, build, and operate the tools that help product teams ship faster Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt Move between building new tools and improving the shared systems that teams already depend on, as priorities shift You might be a good fit if you: Experience building and operating backend services or infrastructure i

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Location San Diego, CA hybrid. Not remote. Position Summary As a Staff AI DevOps Engineer, you will help shape how AI transforms software development and infrastructure services across the organization. As a key technical member of the DevOps team, you will design and build secure, scalable, enterprise-grade AI solutions; including infrastructure for federated AI agents, MCP servers, and AI-augmented development workflows across AWS and Azure. You will work hands-on with teams across Infrastructure & Cloud Services and software development to solve complex technical challenges, establish sound engineering patterns, and enhance the end-to-end AI lifecycle; from experimentation, development, evaluation, and deployment to observability, governance, and continuous improvement. Through this work, you will accelerate the responsible adoption of reliable, production-ready AI solutions and improve how software teams build, deliver, and operate AI-enabled applications at enterprise scale.

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary The Facilities Manager is responsible for the strategic leadership, operational management, and engineering oversight of all facility-related functions to ensure safe, reliable, compliant, and cost-effective operations. This role leads facility operations, infrastructure maintenance, engineering systems, security, energy management, capital projects, and workplace services while supporting business continuity and operational excellence initiatives. The Facilities Manager serves as a key partner to site leadership, Global Facilities, EHS, Quality, and external service providers to maintain a world-class work environment that supports business objectives. Key Responsibilities Facilities Operations & Engineering Provide leadership, direction, and oversight for all Facilities, Engineering, Security, Maintenance, and Site Services activities. Manage the day-to-day operation, maintenance, and reliability of building infrastructure and critical utility systems. Oversee engineering and facilities programs, including HVAC, electrical distribution, chilled water, compressed air, process g

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities include, but not limited to: Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments. Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges. Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what‑if modeling) to evaluate trade‑offs, optimize business decisions, and improve operational and financial outcomes across complex, multi‑constraint problem spaces. Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights. Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels. Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making. Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity. Minimum Qualifications: 2+ years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statisti

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview We are looking for a Technical Program Manager to lead Harvey's highest-priority company programs across the organization and technology stack. You will partner with engineering, product, and business leaders to turn ambiguous problems into clear plans and drive execution from scoping through launch and measurable impact. Your portfolio will evolve with company priorities, spanning areas such as AI infrastructure, developer productivity, and customer-facing products. You will go deep technically, align teams on tradeoffs and dependencies, and bring the right people together to deliver outcomes that no single team can achieve alone. What You'll Do Own end-to-end execution of critical company programs, working with engineering, product, and business leaders to define out

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox, we are growing and looking for a Technical Sourcer to help build, scale, and influence our recruiting landscape. We are a fun and collaborative team focused on recruiting engineering talent. This person is a strong communicator, collaborator, and leads by example. Successful Builders embrace change and we encourage bringing in fresh ideas and a culture of feedback. As a Technical Sourcer you will directly impact the growth of the company and support our scaling efforts. You Will: Drive hiring for critical technical roles across Engineering, Machine Learning, AI, Research. Proactively source and engage top talent through Gem, LinkedIn Recruiter, SeekOut, GitHub, arXiv, google scholar, and AI/ML research communities, amongst others. Influence and improve processes to help the team work smarter, faster, and at scale. Partner with engineering and data leaders to define role scopes, assess capability gaps, and shape hiring strategy across emerging domains like generative AI, LLMs, computer vision, and infrastructure automation. Share talent market insights with hiring managers to guide decisions on leveling, compensation, and candidate profiles. Mentor and coach hiring managers

About the Role We are looking for an experienced Credit Risk Data Scientist who is data-driven, has strong analytical and technical skills, and operates with a high degree of ownership. In this role, you will lead the credit strategy that lets Chime lend to people before they have a relationship with us — starting with Instant Loans for new members (top of funnel) and expanding to future unsecured credit products such as credit cards. You'll develop risk policies and strategies to manage credit risk throughout the member lifecycle, and you'll work as a trusted cross-functional partner with product, growth, data engineering, machine learning, and analytics teams, interacting with business stakeholders across many departments. In this role, you can expect to Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects (top of funnel) and extending to future unsecured products such as credit cards and/or lines of credit Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open application, referrals, and affiliates) that support growth while balancing risk, unit economics, and member experience Design and continuously iterate acquisition, loan amount / line assignment, pricing, line management, repayment, and collections strategies Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with our DSML team Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and quantify trade-offs among approvals, losses, direct deposit conversion, and lifetime value Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers Collaborate with data teams to build data infrastructure and early-read mon

About Zoox Zoox is an autonomous ride-hailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview This role requires supporting the end-to-end validation pipeline for AI tools: maintaining test datasets, running benchmarks, and measuring agent accuracy across routing decisions, classification labels, and structured output fields. Responsibilities Run and maintain the benchmark pipeline, analyzing results to identify routing errors and regressions across agent variants Build and expand ground truth datasets used to evaluate agent outputs against known-correct answers Identify and address gaps in benchmark validation and support building a more comprehensive evaluation infrastructure to improve validation prior to release Develop new evaluation dimensions such as label accuracy and structured output correctness beyond the existing team classification benchmarks Investigate failure modes in agent outputs and work with engineers to surface actionable improvements Write scripts and tooling to automate data collection, result parsing, and metric repo