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Incident Management Engineer Jobs

1,428 active opportunities · Updated for October 2026

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Explore current incident management engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

CF
10 days ago

About the role Chime Engineering is growing rapidly as we scale to meet the financial needs of our members. We're looking for driven engineers with strong leadership skills to help evolve our risk architecture, enabling deeper insights and stronger protections for our members. As a Senior Engineer, you'll provide technical leadership to the team, helping drive the modernization of one of our Chime Platforms within Trust & Safety. Your work will ensure a secure, seamless, and frictionless experience for our members. You’ll lead key projects end-to-end by setting technical direction, shaping system architecture, mentoring engineers, implementing APIs, collaborating with data engineers and analysts, and ensuring the reliability and performance of the platform—while also contributing to other team initiatives as needed. In this role, you can expect to Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 5+ years of experience developing software in a product

CF
10 days ago

About the role Chime Engineering is growing rapidly as we scale to meet the financial needs of our members. We're looking for driven engineers with strong leadership skills to help evolve our risk architecture, enabling deeper insights and stronger protections for our members. As a Backend Engineer, you'll provide technical leadership to the team, helping drive the modernization of one of our Chime Platforms within Trust & Safety. Your work will ensure a secure, seamless, and frictionless experience for our members. You’ll lead key projects end-to-end by setting technical direction, shaping system architecture, mentoring engineers, implementing APIs, collaborating with data engineers and analysts, and ensuring the reliability and performance of the platform—while also contributing to other team initiatives as needed. In this role, you can expect to Design, develop, test, refactor and scale backend implementations of new and existing consumer product features Work with the mobile team to design and build strong, resilient APIs that propel our mobile app Collaborate with multi-functional teams to understand member struggles and come up with creative solutions Proactively find opportunities for improving the reliability and scalability of our systems Work across the engineering team to improve and uphold high technical standards Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 3+ years developing software in a production environment at scale Experience with Ruby on Rails or comparable frameworks Experience working with transactional databases and caching systems Exposure to architectural patterns of large, high-scale web applications An appreciation of maintainable and well-tested code A desire to learn and dive into the deepest levels of how things work Start-up experience as an added plus #LI-MB1 #LI-Hybrid Below is the bas

R
Robinhood
📍 Menlo Park• $166K – $195K/yr
10 days ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. At Robinhood, the Physical Security team lives by a core value: Safety Always. We are dedicated to safeguarding our employees, workspace, and customers—putting their safety and security first in all our actions. We are dedicated to protecting people, assets, and the Robinhood brand while maintaining operational resilience across all environments. We're looking for a Senior Physical Security Operations Manager to drive global security programming across multiple countries, time zones, and complex third-party vendor workforces. In this critical role, you'll take a hands-on approach to shape and implement security policies, manage our uniformed security officers and emergency response team members, manage event security strategy, handle budgets, conduct facility risk assessments, and lead training initiatives for Robinhood’s global Physical Security Operations team. You'll play a key part in helping Robinhood prevent, respond to, and recover from security incidents—protecting both our people and our spaces. In this role, you will report directly to the Director of Physical Security. This role is based in our Menlo Park, CA office, with in-person attendance expected at lea

artificial intelligenceaifinance
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M
Micron
📍 Manassas• $118.8K – $177K/yr
11 days ago

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. Responsible to drive risk-based thinking concept through the effective implementation of FMEA, as key QMS tool to help the site achieve its mission of being the Automotive Center of Excellence. Responsible to inspire and drive automotive quality mindset through integrity, vision and courage. Leads the FMEA Steering team to exceed the expectations set by internal quality standards as well as define the risk reduction strategy that better fits Fab6 needs to drive towards Zero Defects goal. Works with both site leadership as well as Global Quality teams to successfully implement changes coming from External Standards touching FMEA as well as new customer requirements in the Front-End Manufacturing organization. Is involved in the process of benchmarking best practices from inside and outside Micron to ensure Fab6 is at the forefront of quality excellence from the prospective of customer and registrar auditing teams. Follows all safety and environmental procedures to ensure compliance with applicable regulations. Is an active participant in the Fab Safety program by reporting all related concerns or problems immediately to the appropriate individual (Emergency Response Team, Supervision, etc.). Is proactive in reducing incidents of personal injuries, safety hazards or environmental releases. Manages Site Level Metrics and Front-End Scorecard FMEA related Metrics. Represents Fab6 in the Global meetings where FMEA expertise is required. Drives Compliance to FMEA Standard and FMEA Business rules. Drives FMEA review process to make it functional to the large number of

aiauditingrecruitment
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E
11 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
11 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
11 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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E
11 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

javamachine learningai
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About the team Radar helps businesses prevent fraud and abuse without getting in the way of legitimate customers. We combine machine learning powered by Stripe’s global network with intuitive dashboard experiences and developer APIs, to give our users comprehensive controls and insights to protect their business against threats ranging from payment fraud and card testing to bot and free trial abuse. Fraud doesn’t stand still, and it isn’t limited to checkout. As businesses launch new products and business models, attackers find new ways to exploit them. We obsess about understanding those attacks, identifying defenses that work, and making sophisticated fraud prevention simple for the businesses that depend on us to help them protect and grow their revenue with confidence. What you’ll do As a product manager on the Radar team, you’ll work directly with customers to understand the novel fraud and abuse attacks they face, identify the most important problems to solve, and turn those insights into product strategy and a roadmap. You’ll work at the intersection of customers, engineering, data science, design, and commercial teams to shape what we build and bring it to market. Your work will span the fraud and abuse detection and control capabilities at the heart of Radar and the user and developer experiences that put those capabilities into our customers’ hands. This role requires both urgency and taste. You’ll move quickly as threats evolve, without compromising on reliability, craft, or the details that make complex products feel beautifully simple. Responsibilities Develop a deep understanding of the fraud and abuse landscape. Investigate emerging attacks with customers, assess their financial and operational impact, and distinguish isolated incidents from opportunities to build broadly useful defenses. Translate findings into a product strategy and roadmap, prioritizing the defenses that deliver the greatest customer and business impact. Partner with engineer

REMOTEsqlmachine learning
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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: We are seeking a talented and motivated Infrastructure Security Engineer to join our security team. In this role, you will design, implement, and maintain secure cloud and hybrid infrastructure, and ensure the integrity of our cloud-native applications. This role focuses on securing critical infrastructure across multi-cloud and hybrid environments, with work that may span platforms such as X, X Social, X Money and related systems. You’ll operate with an automation-first mindset: building secure foundations, hardening platforms at scale, and partnering closely with engineering teams so security is embedded in how we build and run systems—not bolted on after the fact. RESPONSIBILITIES: Cloud & Infrastructure Security Design and implement secure container standards and automation that enable frictionless developer workflows Maintain Kubernetes security aligned with current best practices Collaborate with development teams to ensure security best practices are integrated into CI/CD pipelines Secure and enhance CI/CD pipelines; integrate and maintain code scanning platforms Detection, Operations & Tooling Monitor and respond to security events and incidents i

pythonawsazure
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E
Elastic
📍 United States• $135.9K – $215.1K/yr
12 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search AI company, is looking for a Security Sales Executive to join our team, where you'll focus on connecting our security solutions with existing customers and products. In this overlay specialist role, you'll be part of a collaborative effort to enhance how security operations teams defend against threats and respond to incidents, leveraging the power of AI. If you're ready to work at the forefront of cybersecurity and AI, and engage with a data platform that provides ongoing insights for security agents, we’d love to hear from you. This role requires travel (~2x per month) What You Will Be Doing Understand client needs to align security solutions effectively . Facilitate regular check-ins and updates with key stakeholders to maintain strong relationships and ensure satisfaction. Identify and target potential clients within the cybersecurity sector. Qualify leads through outreach and needs assessments to ensure a good fit. Develop engaging presentations and demos that effectively showcase our security solutions. Conduct regular training sessions to educate Account Executives on product features and benefits. Support them in creating customized sales strategies tailored to client needs. Share insights on industry trends and competitor activities to refine and enhance their sales approaches. Develop and implement e

P
Pinterest
📍 San Francisco• Remote• $123.7K – $254.7K/yr
12 days ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is seeking an experienced Security Engineer to build and implement detection and response improvements and adapt to emerging threats to protect employees and infrastructure. In this role you will have the opportunity to solve challenging problems and provide a meaningful impact on our overall security posture. We are looking for a candidate with a passion for both security and innovation. What you'll do: Build alerts and automation workflows to improve capabilities to detect and response to external and internal security threats Manage our logging pipelines and infrastructure and onboard new logging sources to improve our detection coverage Develop and maintain internal tooling to expand and automate team detection and response capabilities Respond to alerts generated from our tooling and run incidents as part of an on-call rotation Co

REMOTEpythonlinuxai
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G
GitLab
📍 Canada• Remote• $152.8K – $259.2K/yr
12 days ago

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You'll lead GitLab's Dedicated Infrastructure team, combining hands-on technical leadership with team development. Working with the team's Product Manager, you'll balance delivery speed and quality, guide architecture decisions, and lead the team through incidents. You'll demonstrate ideas through proofs of concept, give team members meaningful feedback, and use data to make prioritization and risk decisions. What you’ll do Partner with the team's Product Manager to set clear priorities and deliver with quality and speed. Maintain at least 99.9% availability for Dedicated infrastructure, strengthen securi

REMOTEawsartificial intelligenceai
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Perplexity
📍 New York• Full-time• $140K – $160K/yr
12 days ago

About the Role We’re looking for a Senior Web QA Engineer to join our Web QA team and help maintain the quality of the core web experience used by millions of people every day. In this role, you’ll test the web products and work closely with engineers to find, report, and help resolve issues early. You’ll also look at how the web experience fits into the wider Perplexity product ecosystem, making sure key flows work consistently across surfaces. Key Responsibilities Test Perplexity’s web product across browsers, devices, and screen sizes, checking functionality, reliability, and performance throughout the development cycle. Run end-to-end integration testing with other Perplexity products, validating shared flows, accounts, and features. Work directly with engineers to prioritize critical bugs, write clear and actionable bug reports, and help get issues resolved. Create and maintain test documentation, including test cases, checklists, and test plans, keeping them current as the product changes. Analyze high-impact user-reported issues and incidents, then share insights that help improve both the product and our QA process. Fix small, low-risk issues yourself where appropriate, shipping simple fixes to reduce engineering overhead and speed up resolution. Qualifications 5+ years of experience in QA, with strong hands-on experience testing web applications Solid experience with web testing, including cross-browser and responsive testing, debugging with browser DevTools (console, network, performance), and validating functionality across environments and builds Experience with integration and end-to-end testing across multiple connected products or services Strong communication skills, with the ability to work effectively with engineering, product, and other QA teams Proactive use of AI coding tools (e.g. Cursor, Claude Code) to navigate the codebase, debug issues, and ship small fixes independently

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