Our Mission

Day to Day

Site Reliability Engineers (SREs) at Indeed work directly with our product teams, working closely with them to design, code, test, run, and evolve the systems that help people around the world get jobs. We work closely with dozens of Indeed teams to drive the adoption of modern reliability practices like Service Level Objectives (SLOs), error budget policies, actionable alerts, follow-the-sun on-call, incident retrospectives, end-to-end ownership, and designing robust guardrails for AI-driven workflows.

In this role, you’ll partner closely with software engineers and product managers to balance feature velocity with system reliability. You’ll proactively identify opportunities to improve resilience, reliability, observability, efficiency, and operational excellence. You’ll explore automation and emerging technologies such as Generative AI and agentic engineering to reduce manual effort and improve quality at scale by automating routine tasks and driving the adoption of modern reliability practices.

Responsibilities

• Design, build, and maintain scalable, reliable, and high-performance software systems
• Contribute to system architecture and technical design, validating solutions through data and experimentation where appropriate
• Participate in code and design reviews to maintain high engineering standards
• Own and support applications during business hours, ensuring system health and reliability
• Use metrics, logging, and analytics to make data-informed decisions and improve system performance
• Collaborate closely with partners across engineering, product, data science, and design to deliver solutions
• Contribute to cross-team initiatives and support the growth of other engineers through mentorship and knowledge sharing

Skills/Competencies

• Requires a Bachelor's degree in Computer Science, Mathematics, Computer Engineering, or Electrical Engineering, and a minimum of 2 years of related experience; or an advanced degree without experience
• Proficiency with cloud infrastructure and observability tools/platforms, such AWS, Kubernetes, ArgoCD, Terraform, GitLab, and Datadog.
• Experience in improving availability, latency, scalability, and efficiency of systems through modern reliability practices such as SLOs, error budgets, incident response, and operational guardrails.
• Proficiency in one or more modern backend programming languages (e.g., Java, Kotlin, or similar).
• Experience building and operating large-scale, high-performance, and resilient systems.
• Excellent communication and collaboration skills in English, with the ability to work effectively across teams.
• Curiosity and a willingness to learn, adapt, and take on new challenges.

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