Critical Infrastructure Engineer Jobs

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking a Digital Development Engineer II to Improve the reliability, resilience, availability, and performance of critical applications and infrastructure. The Digital Development Engineer will establish and mature SLIs, SLOs, monitoring, and alerting for applications The right candidate will participate in production incident response, troubleshooting, stabilization, root-cause analysis, and MTTR improvement What you will do Develop automation to reduce manual operational work and improve reliability Create and maintain operational standards, procedures, and runbooks Analyze major releases and production changes for potential availability and reliability risks Identify application dependencies and potential failure points across distributed systems Develop and implement resiliency and testing strategies for applications and infrastructure Partner with application, platform, infrastructure, and business teams to drive reliability improvements Contribute to CI/CD and automation workflows that enable reliable software delivery Help drive SRE principles and reliability practices across engineering teams Required Qualifications 5+ years experience in software engineering & backend development Experience with Java/Spring Boot and/or Node.js/TypeSc

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Airports team is part of a mission-critical endeavor that keeps travelers moving smoothly. As an engineer on our team, your role will be essential in making sure drivers and riders enjoy a dependable experience at airports. You'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to tackle the unique challenges of the travel and airports industry. Your responsibilities will also involve managing real-time communication with airports, ensuring our technology integrates seamlessly into their operations. Your skills will be the driving force behind enhancing the airport journey for millions. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams on call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience 2-5+ years of software engineering/production infrastructure industry experience Experience with Python, Go Proficiency in object-oriented programming Experience working with data structures or algorithms Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source project Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled M

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Airports team is part of a mission-critical endeavor that keeps travelers moving smoothly. As an engineer on our team, your role will be essential in making sure drivers and riders enjoy a dependable experience at airports. You'll work hand in hand with various teams across Lyft, fostering collaboration and driving innovation to tackle the unique challenges of the travel and airports industry. Your responsibilities will also involve managing real-time communication with airports, ensuring our technology integrates seamlessly into their operations. Your skills will be the driving force behind enhancing the airport journey for millions. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams on call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience 2-5+ years of software engineering/production infrastructure industry experience Experience with Python, Go Proficiency in object-oriented programming Experience working with data structures or algorithms Ability to work with a low-ego, highly collaborative, and cross-functional team Bonus points: experience pursuing side projects or open-source project Please submit your resume in English.

Role Purpose Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement. This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products. Role Value High-quality data and reliable model evaluation infrastructure are critical to improving Jumio’s machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle. The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production. Example Responsibilities Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows. Replicate and integrate mobile and web UI environments into robotic testing and data collection systems. Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications. Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development. Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments. Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, an

RDQ225R488 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Workspace Platform team is on an ambitious mission to scale our customer base 100x and support the future of agentic AI workloads. Our goal is to build a unified, consistent, and foundational Shared Platform for the entire Databricks Workspace experience. As a Senior Engineering Manager on the Workspace Platform team, you will lead the development of unified infrastructure powering critical customer-facing capabilities across multiple Databricks products, including Content Discovery (akin to Google Search), Content Organization (akin to Google Drive), Collaborative code editing, and Repository management (akin to Github). This is a high-impact, exciting opportunity to guide a team of ~20 software engineers in creating platform features, intuitive workspace experiences, and partner integrations that are essential to Databricks' expansion and user adoption. The impact you will have: Strategy & Vision : Define and drive the technical strategy for the Workspace Platform, including building over 16 shared capabilities that underpin the entire Databricks experience. Execution Ownership : Own the roadmap, execution, and delivery for the platform, ensuring all team deliverables meet the highest standards of quality and timeliness. Engineering Excellence: Establish and enforce team best practices for engineering excellence, including design reviews, code quality, testing strategies, and performance optimizations for high-volume distributed systems. Cross-Functional Collaboration: Partner closely with teams across the organization, including those developing vertical product experiences

P-995 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences. Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth. As an Engineering Manager in the Core Experiences Platform Org, you will build and operate highly available and scalable platforms which serve multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud. You will report directly to the Sr. Manager of Engineering. The Impact You Will Have: You will hire great engineers to build an outstanding team You will support engineers in their career development by providing clear feedback, as well developing engineering leaders You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) You will work with engineering and product leadership to build a long-term roadmap You will coordinate execution and collaborate with multiple product teams with feature requests from the platform What We Look For: Great at hiring and developing tale

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms Key Responsibilities Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. Work directly with engineering, operations, documentation, and product teams to res

About Truveta Truveta is the world’s first health provider-led data platform, with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving this vision requires a talented and diverse team with expertise across healthcare, software engineering, cloud infrastructure, data platforms, and artificial intelligence. We are looking for people who are motivated by purposeful work and committed to building technology that can improve healthcare outcomes. This position is based in Hyderabad, India . Who We Need Truveta is expanding its engineering presence in India to solve complex healthcare and technology challenges at global scale. We are seeking a collaborative and experienced engineering leader who can operate effectively across ambiguity, scale, and evolving requirements. The ideal candidate combines strong software and infrastructure fundamentals with the ability to build high-performing teams, influence technical direction, and deliver reliable platforms. You should be comfortable balancing hands-on technical leadership with people management and working with distributed teams across India and the United States. If you are motivated by purposeful work, enjoy building teams and platforms from the ground up, and want to shape how data, AI, and engineering systems are powered internally, Truveta may be the right fit for you. This Opportunity We are seeking a Director Of Engineering (POD Lead) to lead the Platform Services team in India. The Platform Services team will build, manage, and operate the infrastructure that supports engineering teams across India and globally. The team will also own critical backend and platform services, including authentication, authorization, customer and consumer identity and access management, CI/CD, Kubernetes and cloud

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About The Team The Commerce Site Reliability Engineering team is responsible for the reliability, scalability, and day-to-day operation of the platforms that power GoDaddy's Commerce ecosystem. We build and operate shared infrastructure, support critical production systems, and partner closely with engineering teams to ensure services remain secure, resilient, and highly available. As a Senior Site Reliability Engineer, you'll join a team that values ownership, operational excellence, and continuous improvement. Engineers are empowered to identify problems, drive meaningful change, and influence how reliability is delivered across the broader Commerce organisation. From improving operational maturity and reducing toil to modernising delivery platforms and strengthening incident response practices, this team plays a key role in enabling engineering teams to move quickly and safely. You'll work closely with engineers across infrastructure, cloud, security, networking, and application teams while helping shape the future of reliability engineering at GoDaddy. This role offers significant opportunity to broaden your impact, develop technical leadership skills, and grow toward Staff and Principal engineering positions over time. What you'll get to do... Lead reliability and operational improvement initiatives across GoDaddy's Commerce platform, helping engineering teams build and operate services safely and at scale. Own critical production systems, drive incident response and post-incident improvements, and continuously raise the bar

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. Who We Are AI can be a powerful tool for good in the world – at Altana we apply AI to the world’s largest organized body of supply chain data to power a more resilient, more secure, and more sustainable model of global commerce. Our customers connect to the Altana network to build resilience for critical industries and infrastructure, automate and safeguard cross-border trade, transform insurance underwriting, protect national security, combat modern slave labor, disrupt fentanyl trafficking, and ensure that their products are sustainable. Altana is backed by leading investors and used by the world’s most important organizations, including Lloyd’s, Maersk, multiple government agencies across the US, UK, EU, Singapore, and Australia, General Atomics, Boston Scientific, and more. We are building a global platform connecting the public and private sectors into an AI-powered network for building trusted supply chains. We operate in accordance with our values: we focus on value creation, not capture; we foster diversity and embrace difference; we embrace reality; we get things done; we amaze our clients. When you join Altana, you’ll be joining a vibrant, collaborative team working together to solve complex problems with the potential for global societal impact. The Opportunity at Altana The Platform Operations & Compliance team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create mutual value. We execute complex customer integrations to create and customize data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while supporting reliability, release, cost and control obligations that come with operating big-data pipelines for public sector

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team Our Global Sustaining Engineering team sits at the intersection of software engineering and infrastructure, ensuring the services our customers depend on are fast, resilient, and always available. As a Senior Site Reliability Engineer, you'll take direct ownership of production services — from initial design through day-to-day operation — while partnering with product, engineering, and security teams to build and maintain business-critical systems. In this role, you will deepen your technical expertise and grow your leadership presence by mentoring the next generation of SREs. You will also gain hands-on experience with intelligent tooling in real-world workflows. What you'll get to do... Design, implement, and operate scalable, highly available production services while diagnosing and resolving complex infrastructure, network, and application issues Build and maintain alerting pipelines, dashboards, and SLO-driven monitoring strategies using Icinga, Prometheus, and Grafana Lead incident response end-to-end — performing root-cause analysis, authoring blameless post-mortems, and driving corrective actions to closure Develop and extend Infrastructure as Code coverage and build internal tooling that eliminates manual, repetitive operational work Mentor SRE I and SRE II engineers through code reviews, debugging sessions, and knowledge-sharing talks Apply LLM-driven log analysis, anomaly detection, and generative AI tools to accelerate incident response and runbook creation — validating all outputs before use Your experien

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

About the Team The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers. Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale. We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform. About the Role As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale. You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads. This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging. In This Role, You Will Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior Improve observability, reliability, and performance across OpenAI’s training platform Debug and resolve issues in complex, high-throughput distributed systems Collaborate with systems, infrastructure, and research teams to evolve platform

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team… GoDaddy's Global Storage Engineering team operates one of the largest Ceph environments in the industry, powering the object, block, and file storage platforms that underpin hosting, applications, internal infrastructure, and next-generation AI/HPC workloads. If you're passionate about distributed systems, large-scale storage architecture, and solving complex reliability challenges, you'll work on infrastructure that few engineers ever experience. At GoDaddy, Ceph isn't a side project — it's a critical platform. Our environment spans 80+ production clusters, 20,000+ OSDs, and approximately 300 PB of raw storage capacity, supporting tens of billions of objects across multiple continents. The scale demands deep technical expertise in storage architecture, automation, observability, and performance engineering. As a Senior Site Reliability Engineer, you'll be a key technical owner of the platform, responsible for maintaining reliability, driving operational excellence, and influencing the future evolution of our storage ecosystem. You'll tackle challenging production problems, develop automation that operates at massive scale, contribute to architectural decisions, and collaborate with some of the industry's most experienced Ceph engineers. This is an opportunity to have direct impact on a storage platform that serves millions of customers worldwide. What You'll Get to Do… Own the reliability, performance, scalability, and capacity of large-scale production Ceph environments supporting object, block, and file storage wor

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Observability team builds and operates the core infrastructure that enables engineers to monitor, debug, and optimize the performance and reliability of their systems. We handle telemetry at massive scale — billions of time series and petabytes of logs — with strict performance and availability requirements. You will be part of the small, high-impact team responsible for building and maintaining SpaceXSI's observability platform. You’ll own critical systems that power metrics, logs, tracing, and alerting enabling engineering teams to operate services at scale, identify issues before they impact users, and drive systemic reliability improvements. RESPONSIBILITIES: Design and implement scalable observability infrastructure for metrics, logging, and tracing. Build high-performance telemetry pipelines that handle massive ingestion volumes. Develop APIs, query engines, and UIs that allow engineers to get real-time insights into their services. Define and enforce best practices for instrumentation, alerting, and reliability across the company. Partner with infrastructure and product teams to deeply integrate observability into our internal platforms. Own the reliab