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Salary
≈ $19k – $44k per year (Estimated)
Location
In office (Bengaluru)
Experience
5+ years exp

First seen by Alion on Oct 25, 2026.

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As a Site Reliability Engineer, you will own and manage the end-to-end platform and infrastructure at Macromill. This includes cloud infrastructure, networking, CI/CD, observability, and platform tooling. You will work closely with engineering teams to build a reliable, scalable, secure, and cost-efficient platform while improving developer productivity and system performance.


Responsibilities:

  • Own and manage the end-to-end platform, including infrastructure, networking, CI/CD, observability, and operations.
  • Design, build, and operate scalable, reliable, and secure systems on cloud platforms.
  • Develop and maintain CI/CD pipelines and automation to enable faster and safer deployments.
  • Implement and manage Infrastructure as Code (IaC) using tools like Terraform.
  • Improve system reliability, availability, and performance through monitoring, alerting, and optimisation.
  • Build and enhance observability (logging, metrics, tracing) to reduce incidents and improve debugging.
  • Lead incident management, troubleshooting, and root cause analysis for production systems.
  • Automate infrastructure and operational processes to reduce manual work and toil.
  • Support service onboarding and migration to modern platform architecture.
  • Ensure security best practices across infrastructure and applications.
  • Collaborate with developers to improve developer experience and platform usability.
  • Drive adoption of SRE, DevOps, and engineering best practices across teams.
  • Define and maintain SLIs, SLOs, and SLAs to ensure service reliability.


Requirements:

  • 4+ years of experience building and operating production systems at scale.
  • Strong hands-on experience with cloud platforms (GCP, AWS, or Azure).
  • Experience owning and managing end-to-end infrastructure and platform systems.
  • Proficiency in Infrastructure as Code (Terraform or similar).
  • Experience with containers and orchestration (Docker, Kubernetes) in production.
  • Solid understanding of distributed systems and microservices architecture.
  • Strong knowledge of Linux systems, networking (TCP/IP, DNS), and troubleshooting.
  • Experience with CI/CD pipelines and automation.
  • Experience with monitoring and observability tools (metrics, logs, tracing).
  • Understanding of SLIs, SLOs, and service reliability practices.
  • Experience in incident handling, debugging, and root cause analysis.
  • Ability to design systems and write technical design documents.
  • Programming experience in Go or a similar language, along with scripting (e. g., bash).
  • Basic understanding of security best practices in cloud environments.
  • Strong ownership mindset and ability to work across teams.

Skills

AWS, Azure, Docker, GCP, Kubernetes, Terraform

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