Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. We are hiring a Sr. DevOps Engineer to support multiple business domains within Optum Financial. This role is critical for the development of new products and enhancements within the Consumer Payments area. The team is building secure, cloud‑based, modern payment capabilities that expand and improve the overall product ecosystem. The DevOps engineer will also operate as an AI User, utilizing AI-powered tools to boost productivity, streamline workflows, and automate repetitive processes. Schedule: Monday to Friday, 8 AM - 5 PM Location: Remote, Nationwide You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design, implement, and maintain cloud infrastructure with a primary focus on Azure and Kubernetes environments - Develop and manage Infrastructure as Code (IaC) using Terraform to ensure scalable, secure, and reliable deployments - Build and maintain tooling, pipelines, and automation that support release, deployment, and upgrade processes across environments - Implement and manage observability solutions, including automated deployment of Datadog monitors, dashboards, and alerting through Terraform - Collaborate with development, security, and operations teams to ensure applications and infrastructure meet organizational security, compliance, and governance requirements - Monitor and optimize cloud infrastructure costs, identifying and implementing cost‑saving opportunities while retaining performance and reliability - Serve as a liaison between development and operations teams to improve communication, enhance collaboration, and accelerate product delivery - Contribute to a continuous delivery platform, supporting Agile development with stable, scalable, and easily deployable environments - Maintain advanced knowledge of development processes, programming concepts, and modern DevOps practices to continuously improve platform reliability and developer productivity You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - High School Diploma/GED (or higher) - 5+ years of experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles, with hands‑on work in Azure or similar cloud platforms - 3+ years of experience with Terraform or another infrastructure‑as‑code framework (e.g., Pulumi, CloudFormation) - 3+ years of experience managing Kubernetes environments, including deployment, scaling, and cluster operations - 3+ years of experience building and maintaining CI/CD pipelines, preferably using GitHub Actions or comparable tools - 1+ years of experience deploying and managing observability systems, including Datadog, OpenTelemetry, or similar platforms - 1+ years of experience automating deployment of monitoring dashboards, alerts, and telemetry integrations using IaC Preferred Qualifications: - Experience in healthcare technology is preferred Soft Skills: - Excellent communication and collaboration skills, with the ability to partner effectively across engineering, operations, and security teams *All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location, and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #GREEN

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic team on a full-time basis. About the Project A fast-growing tech company is building an infrastructure layer for modern AI workloads — a globally distributed platform that provides scalable, cost-efficient, and reliable access to GPU computing resources. The platform enables customers to run production-level inference workloads across a diverse network of providers, offering flexibility, performance, and resilience required for real-world AI applications. Since its launch, the company has demonstrated strong traction, securing a significant Series A investment and achieving multi-million ARR within its first year of operation. As both customer demand and platform scale continue to expand, the team is actively growing its infrastructure capabilities to support the next stage of development. About the Role We are looking for a strong SRE / DevOps / Infrastructure Engineer to help scale and operate a distributed AI-focused infrastructure platform. The system combines a cloud-based control layer (running on AWS, including EKS and managed MySQL) with a large fleet of GPU-powered nodes distributed across multiple external providers. These components are connected via a custom networking layer to ensure high availability and performance for production workloads. Workloads are orchestrated with Kubernetes, while observability is built around Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry, covering metrics, logging, and tracing across the platform. While the control layer is relatively lightweight and cloud-native, the GPU infrastructure introduces additional complexity. It spans different providers and environments, often resembling distributed on-premise setups rather than standard cloud infrastructure, requiring a deeper understanding of networking, reliability, and systems behavior at scale. This is a hands-on role focused on solving real infrastructure challenges across Kubernetes, networking, observability, and production operations. You will join a small, high-impact infrastructure team (currently a couple of engineers) that is actively growing as the platform and customer base continue to expand. The goal is to strengthen the core infrastructure early and support further scaling. What you’ll do - Build, operate, and improve the infrastructure powering Parasail’s distributed inference platform - Own reliability, scalability, and operational excellence across AWS-based control planes and our multi-provider GPU fleet - Design and maintain the networking layer connecting control planes, Kubernetes clusters, and geographically distributed GPU hosts - Operate and improve Kubernetes-based inference orchestration, primarily on EKS - Manage deployments and infrastructure changes using Helm, FluxCD, and Terraform - Improve observability across the platform using metrics, logs, traces, dashboards, and alerting built on Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry - Tune alerts, improve runbooks, and strengthen operational readiness as the system scales - Respond to production issues, perform root cause analysis, and implement durable fixes - Work closely with engineers across time zones using clear asynchronous communication and handoff practices, especially through Slack - Help expand Europe-based infrastructure coverage to support sustainable operations outside US business hours

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic team on a full-time basis. About the Project A fast-growing tech company is building an infrastructure layer for modern AI workloads — a globally distributed platform that provides scalable, cost-efficient, and reliable access to GPU computing resources. The platform enables customers to run production-level inference workloads across a diverse network of providers, offering flexibility, performance, and resilience required for real-world AI applications. Since its launch, the company has demonstrated strong traction, securing a significant Series A investment and achieving multi-million ARR within its first year of operation. As both customer demand and platform scale continue to expand, the team is actively growing its infrastructure capabilities to support the next stage of development. About the Role We are looking for a strong SRE / DevOps / Infrastructure Engineer to help scale and operate a distributed AI-focused infrastructure platform. The system combines a cloud-based control layer (running on AWS, including EKS and managed MySQL) with a large fleet of GPU-powered nodes distributed across multiple external providers. These components are connected via a custom networking layer to ensure high availability and performance for production workloads. Workloads are orchestrated with Kubernetes, while observability is built around Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry, covering metrics, logging, and tracing across the platform. While the control layer is relatively lightweight and cloud-native, the GPU infrastructure introduces additional complexity. It spans different providers and environments, often resembling distributed on-premise setups rather than standard cloud infrastructure, requiring a deeper understanding of networking, reliability, and systems behavior at scale. This is a hands-on role focused on solving real infrastructure challenges across Kubernetes, networking, observability, and production operations. You will join a small, high-impact infrastructure team (currently a couple of engineers) that is actively growing as the platform and customer base continue to expand. The goal is to strengthen the core infrastructure early and support further scaling. What you’ll do - Build, operate, and improve the infrastructure powering Parasail’s distributed inference platform - Own reliability, scalability, and operational excellence across AWS-based control planes and our multi-provider GPU fleet - Design and maintain the networking layer connecting control planes, Kubernetes clusters, and geographically distributed GPU hosts - Operate and improve Kubernetes-based inference orchestration, primarily on EKS - Manage deployments and infrastructure changes using Helm, FluxCD, and Terraform - Improve observability across the platform using metrics, logs, traces, dashboards, and alerting built on Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry - Tune alerts, improve runbooks, and strengthen operational readiness as the system scales - Respond to production issues, perform root cause analysis, and implement durable fixes - Work closely with engineers across time zones using clear asynchronous communication and handoff practices, especially through Slack - Help expand Europe-based infrastructure coverage to support sustainable operations outside US business hours

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic team on a full-time basis. About the Project A fast-growing tech company is building an infrastructure layer for modern AI workloads — a globally distributed platform that provides scalable, cost-efficient, and reliable access to GPU computing resources. The platform enables customers to run production-level inference workloads across a diverse network of providers, offering flexibility, performance, and resilience required for real-world AI applications. Since its launch, the company has demonstrated strong traction, securing a significant Series A investment and achieving multi-million ARR within its first year of operation. As both customer demand and platform scale continue to expand, the team is actively growing its infrastructure capabilities to support the next stage of development. About the Role We are looking for a strong SRE / DevOps / Infrastructure Engineer to help scale and operate a distributed AI-focused infrastructure platform. The system combines a cloud-based control layer (running on AWS, including EKS and managed MySQL) with a large fleet of GPU-powered nodes distributed across multiple external providers. These components are connected via a custom networking layer to ensure high availability and performance for production workloads. Workloads are orchestrated with Kubernetes, while observability is built around Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry, covering metrics, logging, and tracing across the platform. While the control layer is relatively lightweight and cloud-native, the GPU infrastructure introduces additional complexity. It spans different providers and environments, often resembling distributed on-premise setups rather than standard cloud infrastructure, requiring a deeper understanding of networking, reliability, and systems behavior at scale. This is a hands-on role focused on solving real infrastructure challenges across Kubernetes, networking, observability, and production operations. You will join a small, high-impact infrastructure team (currently a couple of engineers) that is actively growing as the platform and customer base continue to expand. The goal is to strengthen the core infrastructure early and support further scaling. What you’ll do - Build, operate, and improve the infrastructure powering Parasail’s distributed inference platform - Own reliability, scalability, and operational excellence across AWS-based control planes and our multi-provider GPU fleet - Design and maintain the networking layer connecting control planes, Kubernetes clusters, and geographically distributed GPU hosts - Operate and improve Kubernetes-based inference orchestration, primarily on EKS - Manage deployments and infrastructure changes using Helm, FluxCD, and Terraform - Improve observability across the platform using metrics, logs, traces, dashboards, and alerting built on Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry - Tune alerts, improve runbooks, and strengthen operational readiness as the system scales - Respond to production issues, perform root cause analysis, and implement durable fixes - Work closely with engineers across time zones using clear asynchronous communication and handoff practices, especially through Slack - Help expand Europe-based infrastructure coverage to support sustainable operations outside US business hours