What are the responsibilities and job description for the Sr. Site Reliability Engineer position at Optomi?
Sr. Software Engineer
*24-month contract with potential to convert*
Hybrid: 4x a week onsite in Orlando, FL
Optomi, in partnership with our premier client, is seeking a highly skilled Site Reliability Engineer to support a growing portfolio of enterprise platforms, including AI-driven initiatives, automation services, and next-generation observability and data platforms. This role will focus heavily on Kubernetes-based infrastructure, platform reliability, automation, and operational scalability across complex distributed environments.
The ideal candidate will bring deep hands-on expertise in Kubernetes, infrastructure automation, and platform engineering while also serving as a technical leader capable of influencing engineering direction, reliability standards, and operational best practices across teams.
Key Responsibilities
- Design, support, and optimize highly available cloud and containerized platform environments.
- Lead operational reliability initiatives across distributed systems and Kubernetes-based infrastructure.
- Implement and maintain monitoring, observability, telemetry, and alerting solutions for platform health and performance.
- Drive capacity planning, performance optimization, and SLA/SLO reliability objectives.
- Build and enhance infrastructure automation and Infrastructure-as-Code (IaC) frameworks.
- Develop reusable CI/CD pipeline components, automation modules, and internal platform tooling.
- Collaborate with software engineering, architecture, security, and infrastructure teams to improve scalability, resiliency, and deployment efficiency.
- Troubleshoot complex infrastructure, networking, and application performance issues across large-scale environments.
- Contribute to technical documentation, architecture standards, operational procedures, and engineering best practices.
- Evaluate and leverage AI-assisted engineering and automation tools to improve development and operational workflows.
Required Qualifications
- 5 years of experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or Software Engineering.
- 5 years of systems administration experience supporting large-scale enterprise environments.
- 5 years of experience automating infrastructure and operational processes.
- 3 years of experience building developer-facing platforms, tooling, or internal engineering services.
- Experience designing reusable infrastructure modules, libraries, templates, or shared services used across multiple teams.
- Strong experience operating within large enterprise organizations supporting cross-functional engineering initiatives.
- Excellent written communication skills with the ability to produce technical documentation, architecture proposals, and engineering guides.
Core Expertise
- Deep hands-on expertise with Kubernetes and containerized infrastructure.
- Strong understanding of distributed systems, cloud platforms, and infrastructure reliability engineering.
- Extensive Linux administration, troubleshooting, and performance optimization experience.
- Strong experience with Infrastructure-as-Code and automation tools such as Terraform, OpenTofu, Ansible, or similar technologies.
- Experience implementing and managing CI/CD pipelines using platforms such as GitLab CI/CD, GitHub Actions, or equivalent tools.
- Strong understanding of monitoring, observability, telemetry, and logging practices.
Additional Technical Skills
- Experience with cloud-native technologies and container platforms.
- Familiarity with Docker and container lifecycle management.
- Proficiency in scripting or programming languages such as Bash, Python, Go, JavaScript, or TypeScript.
- Solid understanding of networking fundamentals including HTTP, TLS, SSH, DNS, virtual networking, and load balancing.
- Experience integrating security and compliance scanning tools into CI/CD workflows.
- Experience deploying and managing infrastructure programmatically through APIs and SDKs.
- Ability to implement instrumentation, monitoring, and telemetry across applications and infrastructure.
- Familiarity with API design principles and developer platform integration patterns.
- Strong troubleshooting and root cause analysis skills for complex system and performance issues.