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.
- Design, implement, and maintain features and services that support core business workflows.
- Contribute to the evolution of existing systems while helping prototype and deliver new capabilities.
- Participate in code reviews and design discussions to maintain quality, reliability, and clarity.
- Collaborate with engineers, product managers, and data partners to deliver end-to-end solutions.
- Identify performance and scalability improvements and enhance existing code accordingly.
- Share knowledge and provide guidance to teammates through collaboration and feedback.
- Communicate technical ideas clearly and effectively within the team.
- Requires a Bachelor’s degree in Computer Science, Mathematics, Computer Engineering, or Electrical Engineering, and a minimum of 5 years of related experience; or a Master’s degree with a minimum of 3 years of experience; or a PhD 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.
- Experience building or contributing to large-scale or distributed systems.
- Solid understanding of data structures, algorithms, and core computer science fundamentals.
- A demonstrated sense of ownership and accountability for delivered work.
- Curiosity, eagerness to learn, and enjoyment of solving complex technical problems.
As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site (https://www.indeed.com/careers/paytiers), and recruiters can confirm how location is considered for a specific role.
Tier 3 - India 4,250,000 - 6,790,000 INR per year
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