Incident Management Engineer Jobs

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. What you’ll do: Build and maintain high-throughput backend services using Go . Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe. Design systems that are scalable , resilient , and easy to maintain. Lead and contribute to architectural discussions and technical decision-making. Write well-tested code and help the team maintain high code quality standards. Our humble expectations: 7+ years of professional software engineering experience, with a proven track record of building and scaling complex systems. 2+ years of production experience in Golang , with the ability to mentor others and drive best practices across the team. Strong hands-on experience with both SQL and NoSQL databases — especially Cassandra. Solid understanding of designing and operating low-latency, high-throughput distributed systems . Nice to have Background in Node.js or other backend languages. Familiarity with cloud infrastructure (AWS, GCP) and event-driven architectures. Previous on-call experience , with a pragmatic approach to reliability and incident management. What we value A product-oriented mindset — you think beyond the ticket, understand the “why” behind the work, and aim to create real

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Roles & Responsibilities Design, deploy, and manage AWS cloud infrastructure and Kubernetes (EKS) environments. Build, maintain, and optimize GitLab CI/CD pipelines for automated deployments. Implement DevSecOps best practices, including infrastructure security, vulnerability management, and compliance controls. Monitor, troubleshoot, and improve platform reliability, performance, and scalability. Deploy and manage cloud-native applications, databases, and supporting services. Collaborate with development teams on architecture, deployment strategies, and production readiness. Drive infrastructure automation using Infrastructure as Code (Terraform). Support incident management, root cause analysis, and operational excellence initiatives. Mandatory Requirements 5+ years of hands-on DevOps/DevSecOps experience in production environments. Strong expertise with AWS services including EKS, EC2, S3, CloudFront, WAF, Lambda, and VPC. Minimum 3+ years of Kubernetes experience, preferably Amazon EKS. Hands-on experience building and managing GitLab CI/CD pipelines. Strong Linux administration and troubleshooting

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving recommendations and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response. What you'll be doing: Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes Drive upstream contributions to OVN-Kubernetes and related open-source projects Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure Drive reliability through incident management, resource monitoring, and performance tuning<

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Remote (US East Coast preferred, for timezone coverage) About the team Cloud Infrastructure owns the platform every Synthesia product runs on — AWS, Kubernetes, MongoDB, Temporal, our observability stack, and the vendor and cost relationships underneath them. We're a small, high-leverage team scaling toward a domain-ownership model: small groups that both build and operate the systems they're accountable for. The role We're hiring a dedicated SRE to take real ownership of operational excellence across Cloud Infrastructure. Today, too much critical operational knowledge — vendor relationships, cost management, and incident response — lives with one or two people. Your mission is to take genuine ownership of those domains, make them resilient to any single person, and raise the bar on how reliably we run. This is not simply a ticket-queue or keep-the-lights-on role. You'll own domains end to end: understand them deeply, operate them well, and build the automation and tooling that make them boring . We deliberately pair operational and engineering work so the role grows rather than narrows. What you'll own Incident management & operational excellence — take custody of the incident process: on-call quality, resp

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our Site Reliability Engineering (SRE) team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability. We are seeking Staff SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements. You will design robust observability solutions, lead incident response, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit. You Will: Architect and Implement Observability: Design, build, and lead the implementation of comprehensive monitoring, logging, and tracing solutions. Create dashboards and metrics that provide real-time visibility into system health and performance, enabling proactive issue detection. Define and Drive Reliability Standards: Work with product and engineering teams to define, implement, and track Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to monitor and report on these metrics, holding teams accountable and ensuring we maintain high reliability standards while balancing innovation speed. Lead Incident Management and Response: Act as a senior leader during high-impact incidents, guiding the team to rapid resolution

Asana’s rapid growth brings new challenges in keeping our systems fast, reliable, and resilient. As our product evolves, we’re making a major investment in reliability – and building a brand new SRE team in Warsaw is a key part of that strategy. This is your chance to help shape it from day one. This isn’t a traditional “ops” role – we’re looking for strong software engineers who are passionate about building reliable, distributed systems. You’ll work closely with a small SRE team in San Francisco, infrastructure engineers in Reykjavik, and an established infrastructure team in Warsaw. Warsaw will be a significant hub for our future infrastructure engineering and operations. As one of the first engineers here, you’ll have a real say in how we build reliable infrastructure, manage incidents, and support the rest of the company. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Influence the future of Asana’s SRE practice, especially as we grow the Warsaw team. Lead reliability-focused projects across our stack – from infrastructure to tooling to incident response. Define and implement Asana’s incident management process – we’re investing here, and you’ll help shape how it works. Build internal platforms and frameworks that help other teams improve the reliability of their services. Be part of (and help shape) a sustainable on-call rotation – shared across teams in Warsaw, San Francisco, and Reykjavik. On average, we handle ~1 page per day, but it’s not constant, and we care about keeping things sane. Work with our stack: AWS, Kubernetes (EKS), Datadog, MySQL (RDS), ElasticSearch (OpenSearch), Redis

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. Premier Technical Support Engineers (PSEs) are primarily focused on assisting prospects and customers with any technical questions about Datadog. PSEs engage with Datadog’s Premier customers not only via standard technical support channels, but also get involved via cadence calls, business reviews, and side projects. You will be immersed in a fast-paced environment where you will be challenged, but will also immediately witness your contributions to Datadog and to our customers. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Respond to Premier customer requests (phone / chat / tickets) on our fast paced team while continuing to educate our clients on the use of the platform Develop relationships with our Premier customers, working hand-in-hand to understand their specific environment Reproduce customer issues and assist customers implementing 1,000+ Datadog integrations Handle urgent escalation requests that may result in customer-facing troubleshooting calls, and internal or external incident management Build subject matter expertise in many Datadog product areas Autonomously troubleshoot complex and/or high-priority customer issues without guidance Drive product and engineering conversations based on needs, use cases, and problems learned during client interactions Provide mentorship to junior members of the team and serve as their escalation partner Participate in routine health check meetings with Premier customers Build out and improve documentation and knowledge base articles for a variety of technologies Who You Are: Experienced in mul

We are Datadog's in-house product experts. The Datadog Federal Support Engineering team is dedicated to serving as highly trusted technical advisors for our Public Sector customers, who operate within some of the most highly regulated and security-constrained environments. These customers include various government agencies and organizations with critical, sensitive missions. As a Federal Support Engineer 3, this role places you at the forefront of supporting these customers' mission-critical workloads. These complex workloads are often deployed across sophisticated hybrid and multi-cloud architectures, requiring deep expertise in cloud technologies, monitoring, and security best practices. Your primary responsibility is to ensure the complete success of these customers across their entire lifecycle with Datadog. Whether you’re looking to learn from the best or be the best, the Federal Support team is dedicated to furthering personal development and team success. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Engage with public sector customers via multiple channels (ticketing system, live chat, calls, and screensharing tools) to identify and resolve technical support requests. Troubleshoot, investigate, and resolve complex technical issues in highly constrained environments across Datadog's 1000+ integrations, often with limited logs or sanitized data. Handle urgent escalation cases that may result in customer-facing troubleshooting calls, and internal or external incident management Become a subject matter expert in many Datadog product areas Partner with Product, Engineering, and Account teams to to validate bugs and advocate for customer-impacting improvements Provide mentorship to junior members of the team and serve

Datadog Incident Response is an end-to-end incident operations solution native to Datadog’s unified observability and security platform. It brings the entire incident lifecycle — from alert to resolution — together in one place so engineers can respond fast with confidence instead of losing time switching between disconnected monitoring, paging, and incident tools. As a Product Marketing Manager (PMM) - Incident Response, you will develop go-to-market strategy for new products and features, create the content that enables our sales and partner teams, and touch on all areas of the business while helping move Datadog forward. We give our Product Marketing Managers the opportunity to collaborate, investigate, and idealize how we can gear our product strategy to yield the highest results. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Drive the go-to-market strategy for Datadog Incident Response products, such as Incident Management, On-Call, and Incident AI as an expert of your product area. Launch new features with compelling messaging and positioning, developing assets such as slide decks, blogs, product demos, webinars, and solution briefs. Develop high-impact sales enablement assets (battlecards, pitch decks, demos) grounded in deep market and competitive insights. Partner with cross-functional teams to execute campaigns across webinars, paid media, organic channels, and sponsored events. Drive customer marketing initiatives including case studies, testimonials, and

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are looking for a Senior Software Engineer to join our Site Reliability Engineering team. As a Senior Software Engineer in Production SRE, you will be responsible for developing and maintaining the tools and systems that enable our engineering teams to operate our services reliably and at scale. You will work closely with our SREs and other engineering teams to ensure our services are properly instrumented and able to scale with our growing business. The Difference You Will Make: In this role, your expertise in developing and maintaining tools and systems will be instrumental in bolstering our services' reliability and improving how the company manages incidents broadly. By collaborating closely with other engineering teams you will help establish a culture of reliability throughout the organization by providing a comprehensive incident management platform that is being used for instrumentation, operability, and around incidents. Your ability to identify opportunities for improvement and drive their implementation will contribute significantly to our overall operational efficiency and growth, ensuring that our services remain resilient as our business continues to expand. Additionally, as an essential part of this role, you will serve as an active member of the Production SRE team, responding to and managing high severity incidents. Your vast technical experience and leadership skills will be invaluable as you step into the role of Incident Commander during these critical events. You will guide cross-functional teams during crisis situations and ensure timely resolution, minimizi

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: BizTech fosters culture and connection at Airbnb by providing reliable corporate tools, innovative products, and technical support for all teams. We drive technical breakthroughs and strategies that redefine what it means to belong anywhere, delivering greater value for the business and our people. The Global Operations team at BizTech manages production services across Airbnb’s corporate environment, delivering reliable operations through Observability, Incident Management, Core Operations, and AI-enabled automation. We partner across BizTech to scale service quality, efficiency, and resilience. The Difference You Will Make: As an Operations Engineer, you'll apply AI at the forefront of BizTech's operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability that catches problems before they escalate. AI fluency is core to this role, not an add-on. You'll prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over. Success looks like a shrinking backlog of recurring ticket categories through AI-assisted automation, faster MTTR powered by intelligent alerting and root-cause suggestions, and dashboards/reportin

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Join our Site Reliability Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability. We are seeking SREs who are passionate about building and maintaining resilient systems at scale. Your mission will be to design and implement robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability and performance. You will: Design and Implement Observability Solutions : Develop comprehensive monitoring and alerting systems using modern observability tools. Create dashboards and metrics that provide real-time visibility into system health and performance. Implement logging strategies that enable quick problem identification and resolution. Drive Automation and Infrastructure as Code : Architect and implement infrastructure automation solutions using tools like Terraform, Ansible, or Pulumi. Design and maintain CI/CD pipelines that enable reliable and consistent deployments. Create self-healing systems that can automatically respond to common failure scenarios. Establish SLOs and SLIs : Work with product and engineering teams to define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs). Build systems to track and report on these metrics, ensuring we maintain high reliability standards while balancing innovation speed. Incident Management and Response : Lead incident response efforts, conducting thorough post-morte

Position: Engineering Manager - Database Job Location: Noida Role Overview We are seeking a Database Engineering Manager (Individual Contributor) with deep expertise in MySQL and strong working knowledge of MongoDB, PostgreSQL, and Cassandra. This role combines hands-on database administration and optimization with strategic ownership of database reliability, automation, and cloud adoption. The candidate will lead by example—driving technical excellence, influencing best practices, and partnering cross-functionally with DevOps, SRE, and product engineering teams to deliver highly available, secure, and scalable database platforms. Key Responsibilities 1. End-to-End Ownership of MySQL databases in production & staging—availability, performance, and reliability. 2. Architect, manage, and support MongoDB, PostgreSQL, and Cassandra clusters for scale and resilience. 3. Define and enforce backup, recovery, HA, and DR strategies across all critical database platforms. 4. Drive database performance engineering—tuning queries, optimizing schemas, indexing, and partitioning for high-volume workloads. 5. Own replication, clustering, and failover architectures ensuring business continuity. 6. Champion automation & AI-driven operations—design self-healing scripts, predictive scaling, and proactive monitoring solutions. Collaborate with Cloud/DevOps teams on AWS database services (RDS, Aurora, DynamoDB, EC2, S3) to optimize cost, security, and performance. 7. Establish monitoring dashboards & alerting mechanisms for slow queries, replication lag, deadlocks, and capacity planning. Ensure compliance & security standards—encryption, auditing, and regulatory requirements. 8. Lead incident management & on-call rotations, ensuring rapid response and minimal MTTR. 9. Act as a strategic technical partner, contributing to database roadmaps, automation strategy, and adoption of AI-driven DBA practices. Required Skills & Experience 1. 6–10 years of p