Senior Data Reliability Engineer Jobs

Who We Are At MongoDB, we are building the future of data platforms with MongoDB Atlas; our fully managed, multi-cloud database service. The Infrastructure Security (InfraSec) team sits within Site Reliability Engineering (SRE) in the CTO organization. We are an engineering team dedicated to building the security infrastructure, primitives, and reusable controls that protect MongoDB Atlas across AWS, Azure, and Google Cloud (GCP). InfraSec operates on a preventative, enabling model: rather than acting as a manual approval gatekeeper or compliance auditor, we develop automated guardrails and platform capabilities. We integrate security directly into the platform runtime, CI/CD, and Infrastructure-as-Code (IaC) workflows so engineering teams can operate securely at scale without friction. This role can be based out of our New York City office or remotely in the eastern or central timezone. What You’ll Do Harden hosts and containerized workloads using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups) and eBPF-based tooling (Cilium, Tetragon) Secure containerized infrastructure across multi-cloud environments via RBAC, network policies, admission controls (Gatekeeper), and runtime threat detection. Build and manage automated services for Cloud Security Posture Management (CSPM), workload identity, vulnerability management, and access controls across AWS, Azure, and GCP Write production-quality code and leverage Infrastructure-as-Code (Terraform) to version, test, and deploy security controls as code Build real-time security monitoring, logging, and alerting systems to detect anomalies and track security posture at Atlas scale Lead initiatives across their full lifecycle; from threat modeling and architectural design to implementation, rollout, and long-term production reliability What We’re Looking For Minimum Qualifications: 5+ years in SRE, Infrastructure Engineering, or Cloud Security Engineering Strong coding skills in Go (Golang), Python, C, C++, or R

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 Technology, Data and Intelligence Team Message Okta’s Technology, Data and Intelligence (TDI) team delivers the systems, tools, and services that power internal operations across the company. From core infrastructure to enterprise platforms, we partner across functions to drive scale, reliability, and innovation through technology. The Senior Site Reliability Engineer Opportunity Reporting to the Manager, Site Reliability Engineering , this role will help build, improve, and maintain our cloud platform services by designing and implementing complex cloud-based engineering enablement systems. With a strong focus on automation, testing, and operational excellence, you will deliver foundational infrastructure capabilities that enable corporate engineering teams to operate securely, reliably, and at scale. What you'll be doing Secure Cloud Infrastructure & Pipelines: Design, build, and modernize scalable cloud environments and development tools while strictly enforcing security policies and standards for regulated environments. Cross-Functional Collaboration & Advocacy: Partner with software engineering teams to champion DevOps and SRE best practices, deliver excellent internal customer service, and actively contribute to Agile workflows (e.g., demos, architecture sessions). Technical Documentation & Operations: Create and maintain comprehensive technical documentation, including network diagrams, runbooks, and disaster recovery procedures to en

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 Cloud Infrastructure SREs that integrate, scale, and evolve multi-cloud infrastructure across 4 Cloud Service Providers, 70+ globally distributed regions, and tens of thousands of hosts to power Elastic Cloud. We tackle hard problems at scale through automation, Infrastructure as Code (IaC), configuration management, and purpose-built software that eliminates toil and improves reliability. We're also a team that grows people as well as systems. If that challenge genuinely excites you, we'd love to hear from you. What You Will Be Doing Engineering software to automate large-scale systems — building internal tools and services, not just running scripts. Optimizing the reliability and lifecycle of hosts across multiple cloud providers. Strengthening our observability posture — crafting alerting and monitoring systems that drive incident prevention over incident response. Scaling global infrastructure and evolving the infrastructure management processes to meet growing demand. Contributing to code reviews, sharing your work, planning what we need to do next, and both mentoring and being mentored by teammates. Being part of a balanced SRE on-call rotation: responding to incidents, improving runbooks, participating in postmortems, and championing reliability improvements. What You Bring Production experience operating larg

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 Platform Observability & Analytics runs the infrastructure that tells Elastic the truth about its own platform. The observability clusters show Cloud engineers how production is behaving right now, and the analytics pipelines show the business how the platform and the products get used over time. This role sits on the observability side. We run 200+ hosted deployments across every supported cloud region, ingesting logs, metrics and traces for all of Elastic Cloud, plus the SLA and SLO monitoring for ESS and Serverless. When Cloud engineering needs to know what production is doing, they're looking at something we run. What You Will Be Doing Owning end-to-end delivery of moderate-to-high complexity projects on the team’s roadmap , with minimal day-to-day direction. Operating and hardening shared Elastic Cloud infrastructure (ECH, ECE, and ECK) as Infrastructure as Code – writing and reviewing the Terraform, Python, and Go that other engineers depend on. Carrying a 24/7 on-call rotation: responding to incidents, driving them to resolution, and writing clear RCAs/postmortems that lead to lasting fixes rather than repeat pages. Reviewing others’ code and designs, and being a trusted second set of eyes on production changes to critical infrastructure. Mentoring less experienced engineers, and proactively raising risks, ideas

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 About This Role ClickUp is looking for a Senior Database Reliability Engineer to join our Database Operations team. You’ll be responsible for the performance, integrity, security, and availability of our PostgreSQL databases running on Linux in AWS. This role focuses on day-to-day database administration, operational excellence, and ensuring data is consistently reliable and well-managed across environments. Key Responsibilities Administer, monitor, and maintain PostgreSQL databases (250GB+) in production environments (AWS RDS, Aurora, EC2) Ensure database availability, performance, and data integrity through proactive monitoring and maintenance Perform routine database administration tasks including patching, upgrades, vacuuming, reindexing, and statistics management Execute and manage backup, restore, and disaster recovery procedures, including regular testing of recovery plans Handle user access management, roles, and database security to ensure compliance with best practices Perform capacity planning, storage management, and growth forecasting Troubleshoot database issues, including performance bottlenecks, locking/contention, and failed jobs Support application teams with query tuning, schema changes, and release deployments Manage database migrations, upgrades, and change requests with minimal downtime Maintain documentation for database configurations, standards, and operational procedures Participate in on-call rotations and provide support for production incidents Qualifications 7+ years of experience in a senior database administrator or Database Engineering role Strong hands-on PostgreSQL ad

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role: We are looking for a Senior Data Engineer to help build and evolve the data platform that powers critical business decisions and customer-facing experiences. You will own significant parts of our data architecture that is main powerhouse of DevRev Computer’s memory for accurate and efficient Answers. As a part of data team, you will design and operate scalable data systems, and work closely with Software Engineering, AI Agent teams, Data Science, and Product teams to turn complex data requirements into reliable, high-quality data products. This role is ideal for an experienced engineer who enjoys solving challenging problems involving large-scale data, distributed systems, database architecture, and performance optimization . You will have significant technical ownership and the opportunity to influence the direction of our agentic data platform while helping raise the engineering bar across the team. What you'll do: Own data architecture for large-scale, high-impact projects, making thoughtful tradeoffs across scalability, reliability, performance, maintainability, and operational cost. Design, build, and operate scalable data pipelines and data systems that reliably ingest, transform, store, and se

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT As a Senior Site Reliability Engineer (SRE) / DevOps Engineer you will be responsible for ensuring the stability, performance, scalability, and reliability of Redwood’s mission-critical SaaS platform. You will apply engineering principles to operational challenges, automate repetitive work, strengthen observability, and collaborate across teams to deliver a resilient and high-performing customer experience. Provide day-to-day management of system alerts, monitor system health, and escalate issues as necessary to maintain high availability. Participate in a 24x7, team-shared on-call rotation for critical SaaS platform incidents and provide support during emergencies. Lead incident response efforts to ensure fast and effective mitigation and resolution of production issues. Perform thorough Root Cause Analysis (RCA) and lead blameless post-mortems to identify systemic weaknesses and establish corrective actions that prevent recurrence. Collaborate with engineering teams to establish and enforce error bud

About the Role: Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation. As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for designing, building, and running the resilient, scalable, and increasingly self-healing systems that power our products. You will apply sound engineering principles to solve our most complex reliability challenges, with a mandate to automate everything, eliminate toil, and write robust, maintainable code. You will be a force multiplier, mentoring other engineers and elevating the site reliability bar for the entire organization. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: System Architecture & Design: Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems. Partner with development teams as a reliability consultant, reviewing designs and influencing architectural decisions to ensure new services are built with reliability, observability, and performance as core principles, not afterthoughts. Automation & Software Development: Write robust, performant, and maintainable code to automate operational tasks, and CI/CD pipelines. Build the internal tools, libraries, and frameworks that enable engineering teams to self-service their

Company Name: tastytrade Role: Senior Site Reliability Engineer - Linux Systems & Application Observability Location: Chicago, IL (Hybrid, 3 days/week in office) Role Summary Come join tastytrade, part of IG Group, as we build the reliability practice behind the brokerage platform that active options, futures, and equities traders rely on every market day. As our first Senior Site Reliability Engineer, you'll harden the systems behind order execution and market data delivery — designing for fault tolerance, closing gaps in our telemetry, and making sure our HashiCorp Nomad-based service fabric scales cleanly as trading volume grows. You'll work embedded alongside our infrastructure and application engineering teams, contributing directly to our Ruby, Java, and Elixir services. This is a rare opportunity to shape a practice and a culture from day one, on a platform where every order, quote, and position has to be right, because real client capital is on the line. What You'll Do (Job Responsibilities) • Build self-healing, fault-tolerant infrastructure and internal tooling that automates repetitive operational work and reduces toil for Platform and Application teams. • Run gap analysis across our observability stack to find blind spots in telemetry, logging, and alerting coverage, then close them so failures surface before customers feel them. • Own scalability work across our HashiCorp Nomad service fabric: capacity planning, load testing, and identifying architectural bottlenecks before they become incidents. • Extend our observability stack (Prometheus, Honeycomb, OpenTelemetry) with the instrumentation needed to actually see the failure modes above. • Set SLOs and error budgets with multi-window burn-rate alerting for critical brokerage flows, once the fault-tolerance and telemetry foundation is in place. • Mentor engineers across teams to build a culture of site reliability champions so the practice outlives any one person. Who You Are (Skills Needed) • Hands

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Site Reliability Engineering at Affirm is a small, yet crucial, team that helps our Engineering partners to “Operate What They Own” with excellence to protect their customers’ experience. SRE accomplishes this through defining frameworks and best practices for operating applications, building tooling, and providing training and consulting. Some of the many SRE responsibilities are: Providing data and visibility to teams and leadership on application performance Guiding the development of SLOs Driving the Incident Management and Analysis process Steering the implementation of Change Management and Deployment practices Engaging in service and architectural conversations Recommending observability and alerting configurations The SRE team benefits from experience across many domains including: infrastructure, platform, and distributed systems capacity management, load and chaos testing automation, observability, and configuration management development and product experience The SRE team is seeking motivated software and systems engineers with the experience to build, iterate on, and expand incident lifecycle, reliability, and resilience practices throughout Affirms Engineering organization and beyond. What You'll Do: You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with infrastructure, product management, developer experience & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify technical solutions

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Site Reliability Engineering at Affirm is a small, yet crucial, team that helps our Engineering partners to “Operate What They Own” with excellence to protect their customers’ experience. SRE accomplishes this through defining frameworks and best practices for operating applications, building tooling, and providing training and consulting. Some of the many SRE responsibilities are: Providing data and visibility to teams and leadership on application performance Guiding the development of SLOs Driving the Incident Management and Analysis process Steering the implementation of Change Management and Deployment practices Engaging in service and architectural conversations Recommending observability and alerting configurations The SRE team benefits from experience across many domains including: infrastructure, platform, and distributed systems capacity management, load and chaos testing automation, observability, and configuration management development and product experience The SRE team is seeking motivated software and systems engineers with the experience to build, iterate on, and expand incident lifecycle, reliability, and resilience practices throughout Affirms Engineering organization and beyond. What You'll Do: You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with infrastructure, product management, developer experience & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify technical solutions

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. Senior Database Reliability Engineer (DBRE) Experience Level: Mid–Senior (4+ years PostgreSQL experience) About the Role We are looking for a highly skilled Database Reliability Engineer (DBRE) with deep expertise in PostgreSQL at scale and solid experience with MySQL. In this role, you will design, operationalize, and optimize the data persistence layer that powers our large-scale, mission-critical systems. You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it. Responsibilities: Architecture, Reliability & Performance Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation). Optimize query performance, indexing strategies, schema design, and storage engines. Perform capacity planning, growth forecasting, and workload modeling. Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery. Automation & Tooling Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling. Build monitoring, alerti

The Team Platform Engineering sits within SRE and builds the core infrastructure powering MongoDB’s broader engineering organization. Our teams own everything from our multi-cloud Kubernetes foundation to automated deployment pipelines and global observability platforms. Within Platform Engineering, the Fabric team manages the global network substrate that enables secure communication between internal microservices and incoming public internet traffic. We own network architecture, service mesh topologies, and edge load balancing, ensuring customer data remains safe in transit. Ultimately, Fabric plays a pivotal role in engineering the reliable, globally connected, multi-cloud network that underpins all MongoDB products. This role is based remotely in the United States. Role Overview We are seeking a talented Senior Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As a Senior SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Be a US Citizen, as the position supports our FedRAMP authorized environment Have 5+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azure, or GCP, e.g. VPCs, subnetting, routing, VPNs, peering, private link / private service connect, and CDNs Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong p

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. Senior Site Reliability Engineer (SRE) - Security and Data Systems Our company is seeking a highly skilled Senior Site Reliability Engineer to join our team. We are a SaaS company specializing in securing large-scale systems. This role is a blend of software engineering and systems administration, where you'll be responsible for building and maintaining highly reliable, scalable, and secure infrastructure. You will be a key contributor, applying your expertise to automate manual processes and proactively solve complex problems before they become incidents, handling incidents, and includes on-call shifts. Responsibilities Platform & Reliability: Design, build, and maintain the core infrastructure that underpins our security SaaS offerings, ensuring high availability, performance, and scalability. This includes building and operating the tooling for our Snowflake data systems. Automation: Develop robust automation using code to eliminate toil and ensure consistency across our environments. You'll be a key driver in automating everything from infrastructure provisioning to application deployment and incident response. Security & Compliance: Work closely with our security teams to embed a security-first mindset into all our processes and infrastructure. You will be responsible for ensuring our systems and data platforms are compliant with industry standards. Incident Response: Participate in on-call rotations and be a primary responder for critical inci

Job Requisition ID # 26WD101542 Position Overview Autodesk is looking for a skilled and innovative Senior Data Engineer to join our Compliance team, which builds data-driven systems to detect and address non-compliant usage of Autodesk software. This is a key strategic initiative that leverages large-scale data processing and analytics to drive business impact. In this role, you will design, build, and optimize scalable data pipelines and distributed processing systems that handle billions of records. You will focus on improving platform reliability, performance, scalability, and operational efficiency while enabling business-critical analytics. We are looking for an engineer who combines strong expertise in big data technologies with hands-on experience using AI-powered development tools to accelerate engineering workflows, improve code quality, and deliver solutions faster. The ideal candidate is technically strong, self-driven, comfortable owning complex engineering initiatives, and passionate about leveraging modern technologies and AI-assisted development practices to solve challenging data engineering problems. Our technology stack includes: Python, SQL, Apache Spark, PySpark, Spark SQL, Apache Airflow, Hive, Presto/Trino, Snowflake, AWS (S3, EMR, Glue), Git, Jenkins, Power BI, Looker, and AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or equivalent solutions. Responsibilities Leverage AI-powered development tools to accelerate coding, debugging, refactoring, test generation, documentation, and troubleshooting of complex data engineering solutions In