Senior Infrastructure Automation Engineer Jobs

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly and successfully. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a Senior Services Architect focused on Security and Cloud SIEM, you will help customers design, implement, and operationalize Datadog’s security capabilities across cloud, infrastructure, application, and log data sources. You will lead structured, outcome-driven professional services engagements delivered through a day-based professional services delivery model, partnering directly with customers through co-development working sessions, architecture workshops, implementation planning, and operational handoff. This role is ideal for someone who combines customer-facing consulting experience with strong cybersecurity knowledge, hands-on Cloud SIEM implementation skills, and an understanding of security control frameworks such as NIST 800-53, the NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. 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: Design and guide execution of Datadog implementations, focusing on Security and Cloud SIEM deployment, including discovery, requirements gathering, technical architecture, deployment planning, and launch. Partner with customers to map security requirements, controls, and monitoring objectives to Datadog capabilities, including frameworks such as NIST 800-53, NIST Cybersecurity Framework, CIS Controls, MITRE ATT&CK, SOC 2, PCI, HIPAA, ISO 27001, or similar standards. Advise customers on security data strategy, including log source prioritization, parsing, normalizat

About Datadog: We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. The Opportunity: Datadog’s Senior Staff Engineers are technical leaders operating at the forefront of large-scale systems design, building the infrastructure that will support our next five years of growth and beyond. They do this in three major ways: As individual contributors, they bring world-class technical depth to build industry-leading systems in areas such as observability data platforms, distributed query engines, and real-time event streaming at global scale. As technical leaders, they apply broad architectural perspective and deep systems thinking to align design decisions across teams and domains. They work across complex, multi-team problem spaces to define long-term technical direction, drive large-scale initiatives forward, and ensure consistent execution. As engineering stewards, they play a key role in evolving our systems and engineering culture. They actively participate in Datadog’s senior technical community, bringing external insights and internal experience to elevate engineering standards and mentor the next generation of technical leaders. Examples of projects a Senior Staff Engineer may lead include designing and launching a new distributed data storage engine capable of handling hundreds of millions of records per second, building the real-time infrastructure behind a new observability product, or re-architecting a core service to support exponential growth in throughput and complexity. What You’ll Do: Be the technical owner of multiple critical systems or architecture areas, often spanning several t

We are looking for a strong technical leader to join the Private Action Runner team, part of the larger Action Platform group and help shape one of the core execution layers behind Datadog’s action-taking and remediation capabilities. Private Action Runner (PAR) enables Datadog products and AI agents to securely run actions inside customer infrastructure with controls for authentication, permissions, auditing and safe execution. The role will be hands-on, covering architecture, implementation, reliability and collaboration with teams integrating PAR across Datadog. It also offers leadership exposure through leading a team of 3 engineers, with the expectation that the role will quickly transition into a formal Engineering Manager 1 position as the team grows. 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: (Describe role responsibilities here) Solve a scaling bottleneck in a critical service Deploy a new feature to production, progressively rolling it out with feature flags Investigate and fix a production issue from a service your team owns Design a way to scale up a service for more traffic With your team, plan the most important projects to work on next Mentor and lead a small team of 3 engineers Who You Are: (Describe role qualifications here) You have significant experience in one or more languages You value code simplicity and performance You can design architecture to solve problems at high scale You have a BS/MS/PhD in a scientific field or equivalent experience You want to work in a fast, high-growth startup environment that respects its engineers and customers You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how You have demonstrated ability to use AI

Please note that the job is only available from the locations outlined. We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. 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: Build a query engine that supports efficient relationship traversals for our most demanding workloads. Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. Lead and guide other engineers through architectural platform decisions Identify potential system risks and trends in reliability and design solutions to address them Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience You

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. Analyze adoption and customer feedback at scale. Use data from multiple sources to

As a Senior Product Manager for AI & Data Security at Datadog, you will define and deliver capabilities that help organizations securely adopt and scale AI across their applications and infrastructure. You’ll focus on building products that provide visibility into AI systems and data usage, assess security posture, and enable teams to manage risk across the AI lifecycle. This role sits at the intersection of security, AI, and cloud platforms, and is ideal for a PM who thrives in emerging, ambiguous problem spaces. You will work cross-functionally to shape how customers discover, understand, and secure AI-powered systems in production. 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: Own and drive the roadmap for AI & Data Security capabilities, including data security posture management and data loss prevention Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations Define and track success metrics such as product adoption, usage, and impact on customer security workflows Who You Are: &l

As the Senior Product Manager for Network Path, you’ll own the vision, roadmap, and execution for how our customers visualize, monitor, and troubleshoot network traffic across complex hybrid and cloud environments. You’ll work closely with a diverse set of Network, DevOps, and SRE teams to understand how they manage their infrastructure, what challenges they face regarding network visibility and routing, and how our product can help them better observe, isolate, and remediate latency, packet loss, and connectivity issues across the public internet, cloud providers, and private data centers. In addition, you’ll work with product teams across the organization to identify opportunities to create integrated experiences—bridging the gap between infrastructure monitoring, application performance, and network health—and you’ll partner with engineers, designers, and go-to-market teams to drive adoption across thousands of 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: Define the strategy and pioneer new ways to visualize end-to-end network paths. You will determine how we capture, analyze, and map complex routing data to give customers a true hop-by-hop view of their network traffic. Own the core Network Path roadmap, ensuring deep coverage for cloud-native networking (e.g., AWS VPCs, Transit Gateways), SD-WAN, and traditional on-premise routing topologies. Explore ways to combine flow and metrics to provide a holistic view of network health and pinpoint the problem. Partner with Product Marketing to articulate the business value of network path monitoring, showing customers how improved visibility directly correlates to reduced MTTR and optimized cloud egress costs. Identify opportunities to build intelligent alerting and root-cause analysis c

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. This role will be based in North America's West Coast (PST), and offers a hybrid working model. The ideal candidate for this role will have 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure Deep experience in building data warehouses and core components for data processing systems Have experience in using GenAI in building comple

The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering, and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes. The Backup Team delivers essential infrastructure to help our customers in their hour of need - providing the ability to quickly restore a massive, distributed database to any point in time at the click of a button. The Backup Team’s mission is to make MongoDB backup more reliable, faster, and also cheaper. This team is responsible for the Backup Agent (Go), the extensive server-side infrastructure (Java) which manages 100s of TB of data and processes billions of operations per day, and the user interface (Javascript) that customers use to manage their backups. Common project themes are performance, scaling, and ease of use. We are looking to speak to candidates who are based in New York for our hybrid working model. We're looking for someone who is Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.) Fond of chasing down tough problems in a distributed systems environment Cool under pressure - has wrangled production crises, and secretly finds this a little fun Experienced with Linux, and able to correlate application performance problems with underlying hardware limits Comfortable working across the stack of a modern web application Always striving to expand their knowledge Curious, collaborative and intellectually honest Responsibilities Work closely with product teams, considering the user’s perspective while helping the team achieve success Collaborate with team members over best practices and core concepts Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research & development Own our

The worldwide data management software market is massive (IDC forecasts it to be $138 billion by 2026). At MongoDB, we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the center of innovation and creativity. MongoDB is seeking a Sr. Staff Software Engineer to join the Atlas Core Data Services organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product, along with the API Platform and Developer Tools. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. The Atlas Core Data Services organization builds the software that manages the Atlas cluster infrastructure hosted on the three major cloud providers (AWS, Azure, and GCP), as well as the software that manages the MongoDB database hosted on that infrastructure. We are constantly challenged to design features that ensure Atlas clusters are secure, available, durable, and performant while running large-scale, critical workloads. The Sr. Staff Engineer in this role will drive innovation across the organization and the company, setting technical standards and direction that enable future growth and velocity. We are looking for engineers with the experience and high standards needed to lead at that scale. Our organization champions a strong culture of inclusivity, diversity, and collaboration. If you want to be a deeply technical leader on a collaborative team that applies systems expertise to build the foundational infrastructure of a popular database, join us. Let's build a faster, more reliable, and highly scalable database platform together. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Define standards and vision for the mission-critical Atlas SaaS data

With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling. Use software architecture and coding patterns to reduce the impact of security issues. Be security subject matter experts for our tech stack and products. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security Advocate for and lead complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to design and implement security controls across our software and systems Research and POC new attacks against our systems. Plan and per

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. This role will be based in North America's West Coast (PST), and offers a hybrid working model. The ideal candidate for this role will have 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure Deep experience in building data warehouses and core components for data processing systems Have experience in using GenAI in building comple

With a strong security engineering background, you’re looking for a role that gives you the freedom to increase MongoDB’s resonance with customers by strengthening our core database products. You’re passionate about solving hard security engineering problems while putting a strong emphasis on customer experience, leveraging your own significant experience. You enjoy collaborating with different teams to innovate and implement pragmatic solutions. Who We Are The MongoDB Product Security organization is a diverse collection of individuals working together to scale MongoDB’s security, both security of the products themselves and the security features we offer to customers. The team is responsible for the MongoDB Database Server ( Community and Enterprise editions). The MongoDB Product Security organization works with software engineers to design, implement, and operate systems in a manner that protects customer data. It is a multidisciplinary team that covers product, software, cloud, infrastructure, and operational security concerns. The team does the following: Build a developer driven security program where there is tight integration with engineering artifacts, process, and tooling. Use software architecture and coding patterns to reduce the impact of security issues. Be security subject matter experts for our tech stack and products. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities You will take ownership, define strategy, and drive improvement for parts of our program such as fuzzing, threat modeling, secrets management, or container security Advocate for and lead complex security projects from inception through completion Drive architecture, patterns, and processes across Server Engineering that make security the easiest path Partner closely with engineering teams to design and implement security controls across our software and systems Research and POC new attacks against our systems. Plan and perfo

We are seeking a Senior Site Reliability Engineer to join our growing Gurugram Products & Technology team to provide technical direction, shape architecture, and build key operational foundations of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Senior Site Reliability Engineer on this new team, you will be responsible for enabling deployment at scale of AI applications and improving the performance, scalability, and reliability of the distributed systems infrastructure for this new product. The platform's SRE team owns the operational foundations: the Kubernetes fleet, networking, observability and alerting, and tenant isolation. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Operate and improve the multi-tenant Kubernetes infrastructure that runs customer workloads Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing Identify and configure key metrics to detect incidents and quantify service health, availability, and performance Participate in a 24/7 on-call rotation to resolve issues involving platform infrastructure Mentor early-career SREs and contribute to the team’s operational practices as it grows Qualifications Strong background in software development and operating distributed systems 6+ years of experience building and operating distributed systems, with proficiency in Python, Go, or a similar programming language Experience operating Kubernetes in production and debugging below the abstraction layer, including scheduling, cluster networking, and node-level issues Expertise in cloud infrastructure platforms, in

MongoDB’s Developer Productivity organization exists to help engineers build and deliver high-quality software through a highly effective software development process and a strong foundation of shared tools and services. We are looking for a Senior Director to lead our Pipeline team. This role is tasked with bringing together the major systems and experiences that power software delivery at MongoDB. The team’s mission is to provide a reliable, scalable, secure, and effective platform for ensuring fast software deployability, leveraging AI native approaches. We are open to in-office, flexible or remote hiring across Canada. The Team The Pipeline organization sits within Developer Productivity and is responsible for the systems, services, and user experiences that define MongoDB’s software delivery ecosystem. This is mission-critical infrastructure operating at substantial scale and supports a variety of software product delivery needs. Success in this role requires excellent product judgment for developer-facing experiences, strong systems and platform leadership, and the ability to align multiple teams around a cohesive strategy. Candidate Profile We’re looking for a senior engineering leader who can unify product-minded developer tooling with deep platform and operational excellence. The right candidate is passionate about developer productivity and has a track record of leading managers and teams through organizational growth, technical complexity, and cross-functional change. They should be comfortable owning a broad portfolio that spans developer experience, reliability and scale, release systems, telemetry, and operational health. They should also be able to work effectively with senior leaders and partners across engineering and product to set direction, allocate resources, and make trade-offs that balance near-term delivery with long-term platform function. The right candidate for this role will 12+ years of hands-on software engineering experience bui