Devops Engineer, US

Lead DevOps Engineer As a Lead DevOps Engineer at Particle41, you will own the DevOps strategy and the design, automation, and operation of the cloud infrastructure that powers our clients’ most complex digital projects. Working closely with cross-functional teams, you will champion DevOps culture and practices, set the standards other teams build on, and ensure the delivery of innovative and high-quality projects. Your role will also involve mentoring and coaching team members, fostering a culture of collaboration, automation, and continuous learning. In This Role, You Will: Strategy & Practice Ownership Own the DevOps technical roadmap and vision, in collaboration with architects and stakeholders, and align it with business goals. Define the "golden path": reference architectures, reusable IaC modules, pipeline templates, and standards that teams across projects adopt. Be accountable for platform reliability, security posture, and delivery velocity outcomes across the engagements you lead; measured through SLOs, not just activities performed. Represent the DevOps practice with clients: participate in discovery and pre-sales conversations, estimate and scope infrastructure workstreams, and advise client leadership on cloud and platform decisions. Contribute to growing the practice interview and assess DevOps candidates, and help shape team structure and capability development. Infrastructure & Platform Engineering Lead the design and implementation of cloud infrastructure across AWS, Azure, and GCP using infrastructure-as-code tools such as Terraform, CloudFormation, or Pulumi. Architect and operate container platforms, including Kubernetes (EKS, AKS, GKE) and managed container services, to support scalable, resilient workloads. Define landing zones, account/subscription structures, and network topologies that balance security, cost, and developer velocity. Evaluate and recommend platform tooling and managed services to support business requirements. CI/CD

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Location San Diego, CA hybrid. Not remote. Position Summary As a Staff AI DevOps Engineer, you will help shape how AI transforms software development and infrastructure services across the organization. As a key technical member of the DevOps team, you will design and build secure, scalable, enterprise-grade AI solutions; including infrastructure for federated AI agents, MCP servers, and AI-augmented development workflows across AWS and Azure. You will work hands-on with teams across Infrastructure & Cloud Services and software development to solve complex technical challenges, establish sound engineering patterns, and enhance the end-to-end AI lifecycle; from experimentation, development, evaluation, and deployment to observability, governance, and continuous improvement. Through this work, you will accelerate the responsible adoption of reliable, production-ready AI solutions and improve how software teams build, deliver, and operate AI-enabled applications at enterprise scale.

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We are seeking an experienced DevOps Engineer to join our growing team and play a pivotal role in designing and building our platform and infrastructure as we continue to scale our product and user base. As a part of our team, you will be working in a dynamic, fast-paced environment to ensure the reliability, scalability, and performance of our systems, while focusing on service architecture and deployment, query optimization, distributed systems, data and machine learning infrastructure, and security and authentication. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Partner with product teams to architect, design, and build the foundational infrastructure for our products. Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions on any one of the public cloud networks like AWS, Azure and GCP. Leverage technologies such as Kubernetes, Helm, Terraform, and Istio to achieve infrastructure resilience. Drive the automation of infrastructure tasks, from provisioning to configuration management and deployment, utilizing tools like Terraform, Ansible, a

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are seeking a QA/DevOps Engineer to join Discord’s Business Systems team. In this role, you will own automated test suite development and maintenance across Oracle ERP Cloud (Fusion) and Salesforce, with a focus on Tosca-based regression and progression testing. You will embed automated testing into CI/CD pipelines and partner closely with ERP Functional, Technical, and DevOps teams to ensure every release is tested consistently and defects are caught early. What you'll be doing Run Oracle ERP Cloud and Salesforce QA automation suites for all quarterly patch upgrades end-to-end. Review new Oracle and SFDC release features and recommend improvements to existing testing processes. Build and improve regression and progression test automation in the Tosca environment for Oracle Fusion and Salesforce. Create, maintain, and update Tosca scripts to reflect system and process changes across GL, AP, AR, and FAH modules. Lead feature enhancement reviews as part of quarterly patch assessment cycles and new enhancement projects. Integrate automated test suites into CI/CD pipelines; trigger regression suites automatically on every release candidate build. Maintain test infrastructure and environments in collaboration with DevOps and ERP Technical teams. Document test coverage, defect trends, and release readiness in Jira and shared reporting dashboards. Automation Use Cases FAH Process Automation: Auto-test Financial Accounting Hub on each new sales item addition to eliminate manual unit testing. AR Regression Suite: Automated flows for invoicing, receipts, and customer setup across every release.

Job Title: DevOps Engineer/ Production Support Analyst Location: Salt Lake City, UT Salary: $45,000 - $54,000 USD/year Want to work in technology at an investment bank? In-depth graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches). Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel. As part of the mthree Alumni program, mthree has an exciting and exclusive partnership with Columbia Univ. School of Engineering. All mthree Alumni are eligible to receive two Executive Education certificates from Columbia Engineering as part of their Academy and industry placement experience at no cost. Further, all participating Alumni will have access to the Columbia Engineering network and ongoing training. What you'll do: Production support plays a vital role in enterprise technology, from algorithmic trading engines to regulatory reporting. Think of it as healthcare for technology. As a production support analyst with mthree, you’ll be on a shared mission to look after the technical systems and processes other teams rely on. How the Alumni program works: Apply via this job advert. Complete our assessment process. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Join a mthree client for 12-24 months while receiving support and salary increases every 9 months. The vast majority then convert to permanent employees with the client at the end of the program. What you’ll learn at the mthree Academy: How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery. How to d

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. Must have: At least an active TS/SCI clearance and the ability & willingness to up level to CI Poly. This is a requirement and candidates will not be considered who do not hold at least a TS/SCI clearance. You will: Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines. Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles. Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. Document pipeline processes and configurations to ensure maintainability and knowledge transfer. Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our develo