Site Reliability Engineer

Overview

This range is provided by Optomi. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$145,000.00/yr - $160,000.00/yr

Cloud & Infrastructure Technical Recruiter @ Optomi | Bachelor of Science

Site Reliability Engineer

Optomi, in partnership with a leading global media organization are seeking a Senior Site Reliability Engineer to join their data platform team. This position operates at the intersection of DevOps, data engineering, and platform reliability, working closely with cross-functional teams to ensure the scalability, observability, and reliability of high-throughput data systems.

Requirements and skills

• 6+ years of professional software engineering experience, with a focus on reliability, infrastructure, or platform engineering
• Strong programming skills in Python and at least one statically typed language (e.g., Java, TypeScript, Go)
• Deep hands-on experience with AWS services (Lambda, ECS/EKS, S3, IAM, API Gateway, SNS/SQS, Kinesis)
• Proven experience operating and scaling distributed systems in production environments
• Expertise in observability and telemetry design: tracing, metrics, logging
• Proficiency in CI/CD automation, infrastructure-as-code (e.g., Terraform, AWS CDK), and DevOps best practices
• Solid understanding of SQL/NoSQL data stores and architectural trade-offs
• Familiarity with agile development workflows, code reviews, and collaborative SDLC processes
• Experience leading incident response, root cause analysis, and driving continuous improvement
• Ability to design and maintain SLAs, SLOs, and SLIs in production systems
• Strong communication and cross-functional collaboration skills

Key responsibilities

• Build, deploy, and maintain highly available and scalable infrastructure for data pipelines and platform services using AWS and infrastructure-as-code tools like Terraform or AWS CDK
• Automate operational processes and reduce toil through scripting (Python, Go, etc.), CI/CD pipelines, and workflow automation
• Monitor, analyze, and improve system performance, latency, and reliability using tools like CloudWatch, DataDog, and custom telemetry
• Manage observability for services—design and implement SLIs, SLOs, and SLAs; maintain dashboards and alerts for distributed systems
• Lead incident response, root cause analysis, and post-mortem reviews; continuously improve incident detection and remediation processes
• Collaborate with data engineering and product teams to ensure reliable integration of new services and features into the data platform
• Optimize cost and performance of cloud infrastructure, including autoscaling, provisioning strategies, and storage lifecycle policies
• Participate in on-call rotation, ensuring timely resolution of production issues and follow-up improvements
• Maintain compliance and security best practices within data infrastructure, including IAM, auditing, and resource governance
• Review code, architecture, and infrastructure changes to ensure adherence to reliability and scalability standards

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Entertainment Providers