Infrastructure Support Engineer Jobs

Data Engineer (Elasticsearch + Data warehousing) Particle41 is seeking a talented and versatile Data Engineer to join our innovative team. As a Data Engineer, you will play a key role in designing, building, and maintaining robust data pipelines and infrastructure to support our clients' data needs. You will work on end-to-end data solutions, collaborating with cross-functional teams to ensure high-quality, scalable, and efficient data delivery. This is an exciting opportunity to contribute to impactful projects, solve complex data challenges, and grow your skills in a supportive and dynamic environment. In This Role, You Will: Software Development Design, implement, and optimize Elasticsearch clusters for high-performance querying and data retrieval. Build and manage Elasticsearch indexes, ensuring data is stored, indexed, and queried efficiently. Build and optimize data storage solutions like data lakes and warehouses. Integrate structured and unstructured data from various internal and external systems to create a unified view for analysis. Ensure data accuracy, consistency, and completeness through rigorous validation, cleansing, and transformation processes. Maintain comprehensive documentation for data processes, tools, and systems while promoting best practices for efficient workflows. Requirements Gathering and Analysis Collaborate with product managers, and other stakeholders to gather requirements and translate them into technical solutions. Participate in requirement analysis sessions to understand business needs and user requirements. Provide technical insights and recommendations during the requirements-gathering process. Agile Development Participate in Agile development processes, including sprint planning, daily stand-ups, and sprint reviews. Work closely with Agile teams to deliver software solutions on time and within scope. Adapt to changing priorities and requirements in a fast-paced Agile environment. Testing and Debugging Conduct thorough testi

About the Team The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training. We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings. Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models. About the Role As a Software Engineer on the Frontier Systems team focused on power management, you will work on critical infrastructure to support cutting-edge research. With large-scale supercomputers consuming substantial amounts of power, managing this efficiently is key to maximizing computational capacity. This role is critical to ensuring that our cutting-edge research supercomputing infrastructure runs smoothly, while maintaining reliability and grid-level power stability. Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale. In this role, you will: Develop and implement system-level and software-level solutions to optimize power usage in large-scale supercomputers, ensuring efficient and reliable operations. Build automation to monitor power consumption patterns during training workloads and design algorithms to stabilize these fluctuations, preventing issues with grid reliability. Work with researchers and engineers to design tools for real-time monitoring, detection, and remediation of power-related hardware and system faults. Collaborate cross-functionally to translate complex electrical system requirements into code, while driving continuous improvements in power man

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, across both cloud & on-prem environments. Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll be the experts for the environments that you operate infrastructure in, helping partner teams build & configure their software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Maintaining availability of cloud & physical Linux servers that power the Palantir platform in air-gapped production environments Design, deploy, and operate infrastructure to support customer & product requirements via modern orchestration & monitoring platforms. Collaborate closely with product teams on requirements & SLOs for deploying software into air-gapped environments. Identifying, troubleshooting, and solving network & systems issues Scripting to automate away routine operational tasks Provide technical troubleshooting support for production issues, ensuring timely resolution and m

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. In this role, your primary focus will be to support Infrastructure Level 2 Operations with primary focus on Windows and Unix Server technologies and methodologies, which will have a heavy emphasis on automation and a hybrid cloud environment, while maintaining operational excellence in multiple world class Data Center environments. Job Responsibility: Provide L2 support in incident, request, change and problem management related to server and DB operations in Windows and Unix operating systems. Provide L2 support and participate in Major incidents. Ensure SLA for incidents and service requests are met with high quality of work. Ensure KPIs, such as breach case target, MTTR and escalation target is met. Install and upgrade firmware for hardware and operating systems, apply patches and implement changes when required. Diagnose and solve OS/hardware errors ensuring high availability of MFG systems. Monitor server performance proactively and perform analysis of cases to prevent recurring issues. Enhance monitoring/alerting to reduce noise and recurrences. Develop processes and operation procedures related to server operations. Create and manage reports, visualizations, and dashboards related to windows/unix operations. Perform capacity planning and participate in Disaster Recovery drills. Work with Subject Matt

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This is an Android role on Reddit’s Design System Team. The mission of the Design System Team is to deliver a cohesive, modern and accessible experience across all of Reddit’s platforms. As an Android engineer on the Design System Team, you will help evolve Reddit’s cross-platform design system and UI architecture that powers experiences across the company. You will build reusable components, improve platform capabilities, and help establish frontend patterns that enable product teams to ship high-quality experiences efficiently. This role has broad scope and impact, helping shape the future of frontend development at Reddit. What You’ll Do : Evolve Reddit’s cross-platform design system by expanding its capabilities and developing higher-level reusable components that accelerate product development while maintaining consistency and quality. Collaborate cross-functionally with product teams, designers, and engineers to ensure the design system and UI infrastructure effectively support real product needs. Improve performance at scale , contributing to Android architecture, rendering patterns, and performance-focused development practices that make performance a built-in feature of the platform. Advance accessibility across the platform , building accessible components, patterns, tooling, and documentation that help teams adopt accessibility best practices by default. Strengthen developer experience , contributing to shared tooling, documentation, and platform improvements that help engineers build reliable, consiste

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Software Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS pl

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Job Location: 135 Constitution Drive, Menlo Park, CA 94025. ELT: Engineering REQ ID: ASHREQ-8246 Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading technologies that solve real-world scale and performance problems, this is the place to be. In this role, you will be a key contributor to the evolution of our core product: an elastic, large-scale, high-performance data processing system. We are looking for smart, enthusiastic engineers who can quickly master complex technical areas and are passionate about building new, industry-leading technologies. AS A SENIOR SOFTWARE ENGINEER (MULTIPLE POSITIONS AVAILABLE) AT SNOWFLAKE, YOU WILL: Design, develop, and maintain core components of AI/ML observability systems, including backend infrastructure for largescale data processing, storage, and data movement. Implement and optimize highly specialized techniques such as sketch based data aggregation and machine learning metrics to support accurate monitoring and evaluation of ML and Generative AI models. Develop and enhance AI/ML infrastructure to support reliable tra

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Baxter is seeking an experienced DevOps Engineer to support enterprise cloud platforms that securely connect medical devices and clinical applications with Baxter and third-party systems. This role will design, automate, deploy, and support cloud infrastructure across multiple environments. The successful candidate will bring strong technical skills, personal ownership, and the ability to collaborate effectively within a regulated healthcare environment. Key Responsibilities: Design, deploy, and maintain Azure infrastructure using Terraform and infrastructure-as-code principles. Build and support Azure Kubernetes Service (AKS) infrastructure, including clusters, node pools, namespaces, workloads, resource configurations, ingress, networking, and scaling. Develop and maintain Helm charts, Kubernetes manifests, and environment-specific configurations. Develop and maintain secure CI/CD pipelines using Azure DevOps, GitHub Actions, and related automation tools. Support Azure services including PostgreSQL Flexible Server, Cosmos DB, Az

About the Role As a mobile platform engineer, you'll help shape the future of Chime's React Native app, building the infrastructure and tooling that make development faster, safer, and more scalable for hundreds of engineers working alongside AI. You'll thrive in this role if you enjoy building for developers, solving complex technical problems, and multiplying your impact on others while delivering a best-of-class experience for our 10M+ monthly active members. In this role, you can expect to Build and maintain internal frameworks, developer tooling, and infrastructure. Collaborate with product and engineering teams to improve app quality, performance, and observability. Identify bottlenecks and deploy operational efficiencies to automate mobile CI/CD and release orchestration, reducing manual effort and increasing reliability. Design and improve tooling to reduce friction in the developer loop and maximize engineering velocity. Mentor engineers and raise the bar on technical standards, code quality, and delivery practices through design reviews, guidance, and example. Partner with QA to lead Chime’s mobile release process across iOS and Android. Build and scale AI-enabling app development infrastructure to support increased product velocity. To thrive in this role, you have 5+ years of experience in cross-platform, mobile development, ideally with React Native. A collaborative mindset, excellent communication skills, and a drive to document and share what you build. Strong fluency in TypeScript and familiarity with React, React Native. Experience with iOS and Android build, configuration, and distribution systems. Shipped apps that are used by millions of users. A track record of profiling and improving app performance. Familiarity with observability and analytics tools like Bugsnag, Datadog, Sentry, or Hex. Deep understanding of server-client architecture, leveraging GraphQL and performance profiling (e.g., memory pressure, screen latency, optimizing

Role Overview We are seeking a Staff Simulation Engineer to build an end-to-end aerial autonomy simulation stack at DoorDash Labs. This is a highly technical, hands-on leadership role focused on defining and implementing the simulation architecture that underpins autonomy development, validation, CI/CD testing, and pilot training. You will operate as the technical authority for simulation: owning core architecture decisions, developing key components yourself, and setting engineering standards. You will build and mentor a small, high-caliber simulation team while remaining deeply involved in implementation and system design. This role is ideal for someone who has built simulation systems from first principles, understands simulator internals deeply, and is excited to create a world-class platform from scratch. Key Responsibilities Architect and implement an end-to-end simulation stack for aerial autonomy at DoorDash Labs.. Develop high-fidelity simulation capabilities, including: Flight dynamics modeling Contact modeling and constraint handling Sensor and perception simulation Autonomy software-in-the-loop (SITL) integration Design and implement scalable simulation infrastructure to support: Regression testing in CI/CD pipelines Continuous validation of flight autonomy and autopilot software stack Mission-level testing and scenario generation Build cloud-deployed simulation systems to enable large-scale parallel testing and pilot training. Partner closely with autonomy, controls, and aircraft teams to ensure simulation fidelity and validation alignment. Establish technical direction, architecture standards, and performance benchmarks for simulation. Mentor and grow a small team of simulation engineers while remaining deeply hands-on. Required Qualifications Master’s or PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related field. 10+ years of experience in robotics or physics-based simulation. Deep expe

Datadog's Forward Deployed Engineering function is in an active growth phase, and the FDE Lead will play a central role in shaping what comes next. Working in close partnership with the Head of Datadog for Startups and Forward Deployed Engineers, and the existing FDE team, you will help define and expand the FDE framework, build out the structures and processes that allow the team to operate at scale, and extend the program's reach well beyond any single customer segment. This role sits at the rare intersection of sales, execution, program design, and hands-on engineering leadership. You are part field technical leader, part program architect, and part cross-functional connector. You will help determine what the FDE motion looks like at Datadog, contribute to its playbook, and push the boundaries of what the team can deliver. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Evolve and scale the FDE operating model end to end: engagement intake, scoping, sprint delivery, handoff back to account teams, and the success metrics (time-to-value, adoption lift, ARR influence, NPS) and reporting infrastructure that support them. Build out a catalog of FDE offerings spanning observability quickstarts, custom integration development, LLM/AI observability accelerators, CI/CD pipeline instrumentation, and cost optimization deep dives, and contribute to their pricing and business models, including free-to-paid conversion plays, paid deployment packages, and post-deployment success motions. Capture product and feature gaps uncovered during deployments, translate them into structured prioritized briefs, and partner with PM and Engineering to strengthen the field-feedback channel that informs roadmap decisions on a regular cadence. Hire, onboard, an

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Staff Analytics Engineer - Borrowing 📍London/Cardiff/UK Remote | 💰 £121,600-164,600 + Incentive Awards tied to your performance and benefits | Hear from the team ✨ ⭐ Our Borrowing Analytics Engineering Team Our mission in Borrowing is to help people achieve their financial goals through better borrowing. Our customers borrow money to achieve something in their lives — whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. We’re shaping this mission by building products our customers love, while safely scaling some of Monzo’s biggest revenue lines. Borrowing is one of Monzo’s most complex and fastest-growing domains. We operate 12+ products across multiple geographies, underpinned by 1,700+ data models and an analytics engineering team that’s scaling to match. We’re in the middle of a major data architecture transformation, expanding into new markets, and building the next generation of data infrastructure to support it all. We’re looking for a Staff Analytics Engineer to help shape how Borrowing builds and uses data at scale. Reporting

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Our hardware team is growing and we are looking for a Senior Electrical Engineer to help lead our programs in our mission to better everyday life through robotics. The EE Modules team is a motivated group with a deep commitment to safety, performance, and reliability, which we apply to all of our projects and programs. About the Role As a Senior Electrical Engineer, you will help lead a talented cross functional team through full product lifecycles and engagement models ranging from in-house design to ODM and Tier1 projects with domestic and international partners. Our designs include sensors, vehicle controls, bleeding edge AI powered compute and anything our teams need in our journey toward a driverless world. About the Work Champion the specification, development, validation, and deployment of state-of-the-art AI hardware in Nuro's self-driving stack and support infrastructure. Drive module and system level electrical design

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Security Engineering is the engineering function inside the Plaid security org that focuses on developing the industry-leading security systems and infrastructure. Security Engineering owns most of Plaid’s security-related infrastructure: secure data storage, key management systems, internal identity platform, internal authentication systems, internal permission management, and internal authorization service. We develop solutions across data encryption, key management, access control, and data loss prevention to protect sensitive consumer data. We believe in the Zero Trust security model and are always looking for ways to improve our authentication and access control platforms. About the role You will develop security capabilities to secure Plaid infrastructure and to secure sensitive data access. You will own, maintain, and build Plaid’s security infrastructure and services like Key Management System and Secure Token Service. You will consult with product engineers to ensure Plaid services meet security standards. You will help educate and support other engineering teams to improve security in their own products and services. You will assist with Plaid’s incident response and security awareness pro