Infrastructure Support Engineer Jobs

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Agent Experience builds the AI-powered backend services that power agent-assist tooling on our Astra support surface — helping support agents resolve customer, merchant, and Dasher issues faster. We sit at the intersection of LLM-backed product features and high-volume, latency-sensitive support infrastructure. What you'll do Build and maintain backend services for agent-assist features on Astra, taking on feature-level work with increasing independence. Translate requirements into working code: design the feature-level approach, write an RFC when the change affects other engineers, and implement it end-to-end. Integrate with LLM-backed features — wiring up prompt/completion calls, handling provider responses, and validating output quality and correctness. Break down assigned project work into tasks, provide accurate estimates, and keep your own progress and dependencies on track. Apply AI tooling thoughtfully to your own workflow (coding, testing, review) and critically evaluate its output rather than taking it at face value. Participate in code review — both giving and receiving — to help the team hold a high bar for correctness, quality, and standards compliance. Collaborate with senior engineers and partner teams to clarify problem definitions, unblock yourself, and flag risks or blockers early. What we're looking for Solid backend engineering fundamentals in Go, with experience shipping and maintaining production services. Exposure to LLM-powered features in production (prompt/completion integration, provider APIs) is a plus — we'll ramp you up if you haven't worked with this directly. Ability to independently own feature-level work: from a

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role The Next.js team builds the open source framework that powers millions of applications and shapes how developers build for the web. Our work sits at the intersection of React, framework architecture, developer experience, infrastructure, performance, and production reliability. We are looking for an Engineering Team Lead to help build and lead a team working on Next.js. This is a hands-on player/coach role for an experienced engineer who wants to remain close to the code while helping a small team do its best work. You will be an engineer first and a manager second. You will contribute directly to the framework, lead major technical initiatives, review code, debug complex production issues, and help make architectural decisions. You will also support the engineers around you through clear direction, thoughtful feedback, and practical coaching. This is not a traditional people management role. You will spend the majority of your time on technical leadership and engineering execution. You should be comfortable owning difficult parts of the codebase while creating enough context and clarity for others to move quickly. You will work closely with Product, Design, and engineers across Vercel to guide the evolution of Next.js across rendering, caching, routing, build systems, and developer tooling. What You Will Do: Build and ship Next.js: Write production code, review pull requests, debug difficult issues, and contribute directly to the framework and its supporting systems. Lead major technical initiatives: Take ownership of complex proje

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

Location: Remote (U.S.) Clearance: Ability to obtain and maintain a Public Trust Salary Range: 100K – 120K LTS is seeking a skilled and mission-focused Cyber Security Engineer to support a major modernization initiative within the Department of Veterans Affairs (VA) health portfolio. This role will support cybersecurity engineering, risk management, and security modernization efforts across enterprise healthcare systems and infrastructure environments supporting Veteran healthcare operations nationwide. The ideal candidate will possess strong experience securing complex federal IT systems, supporting cloud and hybrid environments, and implementing cybersecurity solutions aligned with federal compliance frameworks and Zero Trust initiatives. This individual will work closely with infrastructure, application, integration, and DevSecOps teams to ensure modernization efforts are designed and deployed with security at the forefront. What You’ll Do: • Support cybersecurity engineering for the pilot, including cloud security, RMF/ATO support, compliance documentation, and continuous monitoring. • Secure AWS-based environments through identity and access management, encryption, logging, monitoring, network security, vulnerability management, and configuration hardening. • Configure, monitor, and support AWS security services such as AWS Network Firewall, Security Hub, GuardDuty, CloudWatch, CloudTrail, Inspector, and related capabilities. • Support security planning for an AWS Commercial Cloud environment with consideration for future migration to AWS GovCloud or another VA-approved hosting environment. • Assist with ATO planning, control implementation, evidence collection, compliance reporting, and approval workflows. • Work within eMASS, ServiceNow GRC, or similar risk management systems to support ATO artifacts, information assurance tasking, POA&M tracking, and security documentation. • Develop and maintain SSPs, POA&Ms, SOPs, risk assessments, control n

About the Role We are seeking an experienced Senior Data Engineer to join our growing Data & Analytics team. This role will be responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support our organization’s data needs. Specific Responsibilities: Design, develop, and maintain robust data pipelines and infrastructure to support data integration, processing, and storage Collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions Implement best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data Explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities Design and implement complex data models on Azure Synapse Analytics to support data warehousing Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management. Manage and optimize Apache Spark pools for high-performance data processing tasks. Develop and maintain ETL processes and data pipelines using Python scripting. Ensure data quality and integrity across all platforms and systems. Collaborate with cross-functional teams to translate business needs into technical specifications. Stay current with industry trends and advancements in Azure data services. What you'll need: Bachelor’s degree in Computer Science, Engineering, or related field Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools. Expertise in Python scripting and other programming languages such as SQL and Java Senior level knowledge of data modeling, processes, and data warehouse concepts Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholder

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team We safeguard Okta from threats and vulnerabilities that could disrupt our business or erode our customers’ trust. The Defensive Cyber Engineering organization is responsible for the Security Data Platform, infrastructure, and tooling that enable Okta’s Detection and Response capabilities. The team also manages enterprise security tools and infrastructure that support XDR, DLP, and SSPM capabilities. The Role We are expanding this team to support Okta’s Public Sector roadmap by hiring a Staff Software Engineer in the DC area. You’ll work closely with Security, Business Technology Engineering, and Product teams to implement and manage security solutions, ensuring our core infrastructure applications protect our workforce, endpoints, and corporate data. To deliver on this vision, you will build data and infrastructure platforms by leveraging your software, data, and security engineering skills. You’ll use automation, policy-as-code, and cloud-native technologies to deliver scalable, resilient, and secure solutions. What you bring: 8+ years of strong coding and scripting experience, with a focus on building automation and custom tooling for security engineering teams. Experience with Python is required; proficiency in other languages (e.g., Bash, PowerShell, Go) is a plus. Experience developing and maintaining ETL/ELT pipelines for onboarding security data into Okta’s security data lake. Experience working with security teams to integrate log sou

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Support sustaining engineering for existing products. Support development efforts on next generation products. Manage rapid prototyping efforts in machine shop. Develop CAD models and simulations in the designs of your responsible parts. Design fixtures and test set ups to validate designs. Document designs and test results. Draft drawings for all responsible parts and integrate into PLM. Experience 2+ years experience in Mechanical Design or related role. Strong fundamentals in mechanical engineering first principles. Experienced in CAD software (SolidWorks preferred). Experienced in using SolidWork PDM and PLM softwares (Arena preferred). Experience in Design for Manufacturing principles. Experienced in electronics packaging design. (Preferred) Experience in optics design cameras and/or lighting. (Preferred) Structural or thermal design and simulation experience. Bachelor's Degree in Mechanical Engineering or related technical discipline. Pay Range $130,000 — $170,000 USD Kargo is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, g

Opportunity ThermalWorks has an exciting opportunity for someone passionate about sustainability and eager to be part of an innovative company that’s on a journey to transform the world’s infrastructure. We are seeking an Application Engineer to serve as the technical bridge between ThermalWorks products and their projects. You will review design drawings for accuracy and fit, work with customer design engineers on equipment application, support our estimating group with technical input, and provide engineering support to the project management team and ThermalWorks customers. Key Responsibilities Include but are not limited to: Review design drawings and submittals for cooling system application accuracy — equipment selection, capacity, and hydronic configuration Interface with customer and consulting design engineers to assess and validate equipment application Support the estimating group with equipment selections and technical scope input for accurate proposals Provide engineering support to the project management team — technical questions, drawing conflicts, RFI and submittal responses Support customers with application and technical questions through installation and startup Feed field experience back into R&D and Product Development to improve products and quality Education and Experience Bachelor's degree in Mechanical Engineering or related field 8+ years of mechanical engineering experience in cooling equipment application or design review Expertise in data center cooling systems Experience with chillers, CDUs, and liquid cooling for AI or hyperscale deployments Applications engineering background at a cooling equipment manufacturer Specific Skills / Abilities Fluent in mechanical design documents, schedules, and hydronic schematics Strong client communication skills — comfortable working directly with customer engineers and consultants Working at Endeavour Innovate at Speed: Thrive in a fast-paced, entrepreneurial environment where your ideas actuall

Position Overview As SingleStore’s IT Operations Engineer, you will help shape the IT toolset used by our end users. This is an active, hands-on position responsible for the planning, design, development, and Tier 1 support of several key technical areas at the SingleStore IT team, including end-user support, client engineering, executive support, and infrastructure application support. This is an incredible opportunity for someone to build upon their technical strengths and be a part of IT at SingleStore team . Roles and Responsibilities: Administering a wide variety of SaaS applications. Some main applications that need to be supported are OKTA (+ Workflows), Google Workspace, Slack, and Atlassian tools (JIRA + Confluence), MDM administration. Keep up to date with new features and new releases in these applications to identify opportunities for better automation or features that could be useful for our environment. Seize opportunities across the IT Operations team to eliminate manual work through tooling, integrations, and automation of IT workflows. Respond to tickets and execute new hire onboarding and user separation processes. Support members of the team with troubleshooting and resolution of complex issues. Design, architect, implement and maintain systems and solutions for various IT-related topics, including but not limited to staff computer hardware, operating systems, software applications, networking, videoconferencing, and printers. Partner and collaborate with all business units to help them evaluate hardware and software solutions. Able to communicate effectively and concisely with the entire company. Analyze existing processes, suggest and make improvements, and implement business processes where none exists. A desire to learn and expand your horizons; take on new challenges as the business scales Required Skills and Experience: Minimum 2 years of relevant experience Prior experience in implementing and administering Google Workspac

Location : Ghent, Belgium/ Bucharest, Romania, hybrid model 2 days on-site About the position We're looking for a Principal Cloud Engineer to join our platform enablement team and help shape the infrastructure foundation that our engineering organisation builds on. This role is suited for someone who has worked in a modern, mature SaaS engineering culture — where autonomous product teams own their own AWS accounts, infrastructure, and CI/CD pipelines, and the platform team's job is to enable them to do that well. You will provide architectural guidance, guardrails, and best practices that help teams move fast without breaking things. This is not a central DevOps role — we don't operate infrastructure on behalf of other teams. We build the rails they run on. If you've spent your career in an enablement or platform engineering function at a SaaS company with autonomous teams and a multi-account AWS environment , this role was written for you. Key Responsibilities Design, implement, and evolve core AWS infrastructure to support the accelerated expansion of our platform capabilities across a multi-account, multi-environment organisation. Own and advance our AWS CDK (TypeScript) standards — you are the expert other teams come to for guidance, code reviews, and architectural decisions on IaC. Provide architectural guidance, guardrails, and reusable patterns that enable autonomous product teams to build and operate their own cloud infrastructure safely and efficiently. Diagnose, troubleshoot, and resolve complex infrastructure and platform issues, including reverse-engineering problems when documentation or context is limited. Help maintain reliable operational support, including participation in on-call and escalation rotations . Partner closely with engineering teams to share context, unblock work, and raise the infrastructure quality bar across the organisation. Support knowledge transfer and continuity in a complex, fast-moving operational environmen

About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis. Build with modern tools and languages like Rust, Go, GraphQL, and Kubernetes Build infrastructure to support a modern cloud application Develop new algorithms and techniques for improving the performance and interactivity of our multi-tenant cloud application Design and implement new technologies and features to support our fast growing user base Collaborate with cross-functional groups - backend, frontend, design, product, customer support, sales and marketing to build an innovative product Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web APIs Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you’ll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models SQL query optimization and database internals Administered cloud service infrastructure (GCP, AWS) Startup experience Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, AI/ML, and business intelligence use cases for BankX's digital banking platform. What You’ll Do Design, develop, and maintain scalable data pipelines for batch and real-time data processing. Build and optimize data ingestion, transformation, and loading (ETL/ELT) workflows. Work with Azure Data Services, Databricks, and Delta Lake to implement Lakehouse architecture. Ensure data quality, reliability, and availability across all data products. Collaborate with Data Architects to implement data models and architecture standards. Support data governance, metadata management, and lineage tracking. Ensure pipelines comply with PDPA, data classification, and security requirements. Monitor pipeline performance and troubleshoot data issues in production environments. Work closely with Data Scientists and Analysts to deliver model-ready datasets. Participate in code reviews and promote engineering best practices. What We’re Looking For 5+ years of experience in data engineering or related roles. Strong proficiency in SQL and Python for data transformation and processing. Hands-on experience with Azure Data Services, Databricks, and D

About the Team We’re hiring software engineers to make OpenAI’s Model Performance teams more productive. These teams work on the systems, tooling, and infrastructure that help improve model performance across OpenAI’s training and inference workloads at frontier scale. About the Role We’re looking for an autonomous, high-ownership developer productivity engineer who cares deeply about helping other engineers move faster, safer, and with more confidence. This role will sit within OpenAI’s Model Performance organization, contributing to developer infrastructure, CI systems, testing workflows, tooling, and broader performance infrastructure efforts. There is also a strong opportunity to contribute to the Triton project and help improve the systems that support performance-critical engineering work across OpenAI. In this role you will: Improve development workflows for engineers working on model performance infrastructure Design and improve CI/CD, release, validation, and testing pipelines Build and maintain tools that improve reliability, iteration speed, and engineering confidence Partner closely with engineers to identify friction in testing, debugging, deployment, and development workflows Contribute to infrastructure efforts that support performance-critical training and inference systems Help improve developer experience across Python-heavy codebases and performance-oriented infrastructure Work in a high-context, ambiguous environment where ownership and good judgment matter You might thrive in this role if: You are motivated by enabling the people around you and helping engineers do their best work You have strong experience with CI/CD, developer infrastructure, testing systems, tooling, or build/release workflows You are highly collaborative, empathetic, and comfortable partnering deeply with technical teams You are strong in Python and enjoy building reliable, scalable developer tools and infrastructure You have experience improving large-scale engineering work

Data Engineer 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, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from diverse sources. Build and optimize data storage solutions, such as data lakes and data warehouses, to ensure efficient data retrieval and processing. 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 testing and debugging to ensure the reliability,