Experienced Systems Engineer Jobs

Application Performance Monitoring (APM) is one of Datadog’s premier products that helps developers see inside complex distributed systems. Our SDKs are both the delivery vehicle for APM and the platform on which all of Datadog’s service and app based products (e.g. Application Security Management, Profiling, Data Stream Monitoring…) are delivered. We believe our SDKs are one of our technical moats and are a key competitive advantage for APM and Datadog more broadly. They’re also open-source. Leading the evolution of our SDKs is a technically demanding and highly collaborative effort. You’ll work with language experts to deliver cutting-edge observability products across our 9 supported languages, with industry leading performance and a world class developer experience. You’ll rethink our SDKs’ architecture, APIs, data models, and protocol to meet Datadog’s current needs and scale, all while building in the open. And you’ll grow your team’s capacity by fostering a culture focused on customer needs, continuous learning, and innovation. We’re looking for an experienced Engineering Manager who cares as much about technical excellence as empowering other engineering teams. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What you’ll do Lead, grow, and develop a team of roughly 4-8 library engineers — coaching, giving direct feedback, and empowering senior ICs as technical leaders owning outcomes Own team delivery and productivity: planning, milestones, reviews Collaborate with Product teams to: Reshape and grow our platform capabilities to enable product teams Define and deliver industry leading, open-source, zero-touch APM instrumentation Stay technically close to the work — apply strong technical judgment, set a high standard for

Application Performance Monitoring (APM) is one of Datadog’s premier products that helps developers see inside complex distributed systems. Our SDKs are both the delivery vehicle for APM and the platform on which all of Datadog’s service and app based products (e.g. Application Security Management, Profiling, Data Stream Monitoring…) are delivered. We believe our SDKs are one of our technical moats and are a key competitive advantage for APM and Datadog more broadly. They’re also open-source. Leading the evolution of our SDKs is a technically demanding and highly collaborative effort. You’ll work with language experts to deliver cutting-edge observability products across our 9 supported languages, with industry leading performance and a world class developer experience. You’ll rethink our SDKs’ architecture, APIs, data models, and protocol to meet Datadog’s current needs and scale, all while building in the open. And you’ll grow your team’s capacity by fostering a culture focused on customer needs, continuous learning, and innovation. We’re looking for an experienced Engineering Manager who cares as much about technical excellence as empowering other engineering teams. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What you’ll do Lead, grow, and develop a team of roughly 4-8 library engineers — coaching, giving direct feedback, and empowering senior ICs as technical leaders owning outcomes Own team delivery and productivity: planning, milestones, reviews Collaborate with Product teams to: Reshape and grow our platform capabilities to enable product teams Define and deliver industry leading, open-source, zero-touch APM instrumentation Stay technically close to the work — apply strong technical judgment, set a high standard for

The Anomaly Detection team’s mission is to build scalable, cost effective systems that can automatically detect anomalies in our customers’ system telemetry. The ultimate goal is to be able to intelligently find problems in system telemetry proactively without the need for our customers to set up or configure specific alarms or alerts. This is a chance to work on a team that sits at the intersection of distributed systems and machine learning and applying those techniques at massive scale to serve a real world customer need. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Lead and develop an existing engineering team of 8; building trust, setting technical direction, and establishing a high bar for ownership and execution Own the roadmap and execution for our key signal finding systems Work closely with product management and applied scientists to build an effective detection system and the right evaluation mechanisms to ensure the quality of our signals Build and operate both traditional machine learning and LLM based systems in production at scale Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time Who You Are: Experienced engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components. Distributed systems experience is a must-have Experience with Java, Python or Go, and experience working in a platform-focused team Strong cross-team collaboration and stakeholder management skills Comfortable making significant contributions to product strategy in an ambiguous environment rather than executing a pre-defined roadmap Direct experience building and training M

About the Team & Role The Platform Security Engineering team builds the security features and frameworks that every Rubrik product runs on protecting hundreds of petabytes of data across thousands of enterprise customers globally , from encryption and certificate management to access control and platform hardening at scale. We're a small team with massive impact: the problem space covers the entire Rubrik portfolio, from performant core backend architecture to the AI-powered engineering workflows we and the rest of Rubrik now build with daily. This is a strong opportunity for new grads and early-career engineers who want real ownership on security-critical systems. You'll help solve problems like: How do we roll out post-quantum cryptography across the backup data path before it's an industry requirement? How do we let customers manage sessions and access against compromise, at enterprise scale? How do we build an access control engine that holds up against dynamic, customer-defined policies unique to a data management platform? How do we secure the AI agents and agentic developer workflows that are now embedded in how Rubrik engineers ship code? You'll work alongside experienced engineers and deeply technical managers who will mentor you as you grow, on a roadmap with genuine business impact. What You'll Do Security feature development Design and steer AI to write clean, well-tested code in Go, Scala, or Python for scalable, secure platform services. Collaborate with senior engineers on system design and architecture decisions. Identify attack surfaces and build solutions to harden Rubrik products. Triage, debug, and drive product/system issues to resolution with clear ownership. Use AI coding assistants and agentic workflows as a core part of your daily engineering, while learning to treat AI-generated code as untrusted input that gets the same security scrutiny as any other contribution. Security code and design reviews Review code and design docs from

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are looking for an experienced Silicon Test Engineer to join our Product Test and Diagnosis Department (PTD). This is a pivotal role and will involve building a team of engineers to develop System Level Test (SLT) capability within the company. Working closely with a cross-functional team you will implement SLT tests for a family of next generation AI Processors. The ideal candidate should have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. T hey will have a proven Functional Test or ATE Test Engineering background, and will have a pragmatic, hands-on and flexible approach to a fast-changing environment. The Team The Product Test and Diagnostics team’s role is to detect and manage hardware defects that arise from the manufacture and use of our products. This covers chips, boards and finished systems and takes place both in the manufacturing sites and in the field. Responsibilities and Duties Managing a team of

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. Department Overview: The Advanced Packaging Technology Development (APTD) team at Micron leads the creation of ground breaking memory and storage solutions that power the AI era. We work hands-on with global R&D groups, suppliers, and manufacturing teams to turn breakthrough ideas into real, production-ready technologies. Position Overview: We are seeking an experienced Process Engineer with expertise in depositing thin films who will thrive in a fast paced and results oriented environment! Our goal is to employ robust solutions to thin film challenges that meet the detailed physical and electrical requirements for Micron’s industry-leading memory products. In this role, you will develop and optimize novel solutions to film deposition challenges for the next generations of Micron’s memory systems. You will to take ideas from conception through development and implementation in manufacturing. Best-qualified candidates will have deep subject matter expertise in Thin Films in semiconductor Advanced Packaging R&D roles. We offer a highly collaborative and innovative atmosphere, allowing you to interact with various groups including process integration, electrical failure analysis, yield enhancement, manufacturing, and various semiconductor equipment manufacturers. You will have the opportunity to drive and define Micron’s thin film technology roadmaps, generating intellectual property which will have a direct influence on our global industry leadership. Job Responsibilities: <ul

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are looking for experienced back-end engineers to join the Verkada Core Command team. We are scaling out the Auth, Users, Roles and Audit capabilities of Verkada's core products to service the largest organizations in the world. What You'll Do Design scalable control planes and data primitives for all Verkada products Build scalable distributed systems capable of handling high traffic from hundreds of thousands of devices deployed around the world. Spin up new services in a microservices architecture What You Bring Degree in Computer Science, Computer Engineering or Software Engineering 4+ years of relevant industry experience Experience in building and scaling access systems to millions of users around the world Strong written and verbal communication skills Mastery of at least one of Python or Go Experience with relationa

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 Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an experienced Site Reliability Engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting highly available customer-facing systems. Lead incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with engineering teams to improve service availability, scalability, performance, and resilience. Continuously improve observability through metrics, logging, tracing, dashboards, and alerting. Eng

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. Staff Software Engineer Company Description: Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America and Twilio, trust Okta to help protect the identities of their workforces and customers Position Description: The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems. We are looking for an experienced Staff Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. This role is to build, design solutions, and maintain our platform for scale. The ideal candidate is someone who has experience buil

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. Position Description Okta is an enterprise-grade identity management platform, built from the ground up in the cloud and delivered with an unwavering focus on customer success. With Okta, organizations can manage access across any application, person, or device. Whether the people are employees, partners, or customers or the applications are in the cloud, on-premises, or on a mobile device, Okta helps organizations become more secure, make people more productive, and maintain compliance. The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built-in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on-premises applications, directories, and identity management systems. We are looking for an experienced Senior Backend Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with a focus on enhancing, scaling, and managing backend services for importing, syncing, and provisioning identities and access policies (users, groups, roles, entitlements, etc.). These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. The ideal candidate has strong hands-on knowledge in Java who is deeply technical, passionate about building high-quality, secure, and performant backend applications and microservices, and capable of driving technica

About the Team The Experimentation Platform Team develops a state-of-the-art platform in industry that enables Product Engineers, Data Scientists, ML Engineers and non-technical audiences to come up with hypotheses; design, configure and analyze experiments; and conduct exploratory and causal analysis. At DoorDash, where we run thousands of experiments per year, our mission is to equip all decision makers with rigorous, data-driven insights by democratizing experimentation with quality and velocity. The team consists of a mix of experienced veterans of backend, web, statistical and data infra engineers and work closely with the data science community. Some of the interesting work done in the team was published in articles such as: Meet Dash-AB-The Statistics Engine of Experimentation at DoorDash Supporting Rapid Product Iteration with an Experimentation Analysis Platform The 4 Principles DoorDash Used to Increase Its Logistics Experiment Capacity by 1000% Improving Online Experiment Capacity by 4X with Parallelization and Increased Sensitivity About the Role If you want to solve the toughest engineering challenges, build cutting-edge experimentation products under rigorous operational constraints (high volume, correctness guarantees) and work with some of the smartest people in the industry, DoorDash’s Experimentation Platform is the right place for you. As a full stack engineer, you’ll build across our backend services, SDKs, and the Decision Portal UI used by thousands of internal users. Come join us and be part of the mission. You will report into the engineering manager on our Decision Experience team as part of the Decision Systems team. We expect this role to be hybrid (San Francisco, Sunnyvale, Seattle, New York) with some time in-office and some time remote. What You'll Do Work on dramatically enhancing and simplifying the Experimentation platform which is used by almost every engineer in the company. Have the opportunity to build a new Experimentation platf

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role The Support Engineering team works closely with Engineering, Product, Technical Success, Go-to-Market, and other teams to deliver an exceptional experience for our most strategic customers. We combine deep technical troubleshooting with durable customer context, proactive reliability work, and clear ownership during critical moments. We use automation, agents, and our own technology to help build the future of technical support. We’re looking for experienced, deeply curious technical problem-solvers to serve as trusted support partners for our Premium Support customers. You’ll work directly with customers on novel, ambiguous, and high-impact technical issues, using logs, telemetry, reproduction, and systems-level investigation to isolate causes and drive issues toward resolution. Beyond resolving individual issues, you’ll use your deep understanding of OpenAI’s infrastructure and products, together with each customer’s architecture and operating context, to anticipate risk and make their workloads more resilient over time. You’ll proactively monitor integrations, identify emerging failure patterns and architectural breakpoints, and work with customers and internal teams to address them before they become incidents. Success means that as a customer’s workloads mature and scale, the day-to-day effort required to support t