Senior SRE ( DevOps)

Searce Inc; Mumbai; On-site; INR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Office-based role in Mumbai

Job summary

Searce's ATRE practice seeks a Senior Engineer to be the L3 backbone of the managed-service team. You will resolve complex incidents, perform root-cause analyses, and automate fixes using AI tools and AIOps while ensuring security for cloud workloads.

You’ll work with Terraform, Python or Bash, manage Kubernetes (GKE) and cloud infrastructure, and share knowledge with L1/L2 engineers to reduce toil and MTTR.

Qualifications

• Delivery experience: Hands-on production experience in SRE, DevOps or cloud operations, including real L3 incident handling.
• Technical depth: Strong in at least one hyperscaler (GCP preferred), Kubernetes and Infrastructure as Code.
• Observability: Hands-on with Prometheus, Grafana, Datadog, ELK or similar.
• Scripting: Python or Bash for systems automation.
• AI-led efficiency: Practical experience using AI tools to improve SRE efficiency and/or AIOps platforms.
• Work mode: Comfortable working from the office.

Responsibilities

• L3 ownership: Handle escalated Sev-1/Sev-2 incidents, drive to resolution and follow-up.
• Root cause analysis: Run blameless post-incident reviews and implement long-term fixes.
• AI-led efficiency: Apply AI tools and AIOps to triage, correlate alerts, accelerate RCA and automate repeat work.
• Automation: Build reusable automation and runbooks in Terraform, Python or Bash to remove toil.
• Platform operations: Operate and secure Kubernetes (GKE) and cloud infrastructure, including patching, upgrades and DR drills.
• Observability: Maintain monitoring, alerting, SLIs and SLOs so issues surface early.
• Security hygiene: Apply IAM, secrets management, network policy and remediation across environments.
• Knowledge sharing: Document solutions and help L1/L2 engineers grow.

Skills

Delivery experience

Technical depth

Observability

Scripting

AI-led efficiency

Work mode

Tools

Kubernetes

GCP

Terraform

Python

Bash

Prometheus

Grafana

Datadog

ELK

BigPanda

Moogsoft

Dynatrace

Job description

Searce is an AI outcome engineering company and a modern technology consultancy that helps enterprises futurify their business with AI, cloud and data. Founded in 2004, we are 1,300+ Searcians across 12 countries, with deep business process expertise, a Google Cloud Global MSP status and compliance credentials including PCI DSS and ISO 27001. We solve with our proprietary evlos™ problem-solving methodology: no bureaucratic fluff, working prototypes fast, and production scale that holds.

about ATRE

ATRE is Searce's AI Trust & Resilience Engineering practice: the managed-service team that keeps customers' cloud and AI estates secure, reliable and resilient 24x7. We are building it AI-first. Every engineer is expected to use AI tools and AIOps to raise efficiency, cut toil and shorten recovery time.

role overview

As a Senior Engineer you are the L3 backbone of the ATRE managed-service team. You resolve the complex incidents that L1/L2 cannot, find the root cause, and then automate the fix. You use AI tools and AIOps to work faster than manual operations allow, and you keep customer cloud and AI workloads secure and reliable.

what you'll do

• L3 ownership: Handle escalated Sev-1/Sev-2 incidents, drive them to resolution and own the follow-up.
• Root cause analysis: Run blameless post-incident reviews and implement long-term fixes that prevent recurrence.
• AI-led efficiency: Apply AI tools and AIOps to triage, correlate alerts, accelerate RCA and automate repeat work.
• Automation: Build reusable automation and runbooks in Terraform, Python or Bash to remove toil.
• Platform operations: Operate and secure Kubernetes (GKE) and cloud infrastructure, including patching, upgrades and DR drills.
• Observability: Maintain monitoring, alerting, SLIs and SLOs so issues surface before customers feel them.
• Security hygiene: Apply IAM, secrets management, network policy and vulnerability remediation across customer environments.
• Knowledge sharing: Document solutions and help L1/L2 engineers grow.

what you bring

• Delivery experience: Hands-on production experience in SRE, DevOps or cloud operations, including real L3 incident handling.
• Technical depth: Strong in at least one hyperscaler (GCP preferred), Kubernetes and Infrastructure as Code.
• Observability: Hands-on with Prometheus, Grafana, Datadog, ELK or similar.
• Scripting: Python or Bash for systems automation.
• AI-led efficiency: Practical experience using AI tools to improve SRE efficiency (AI-assisted runbooks, incident triage, RCA, automation) and/or AIOps platforms (e.g., BigPanda, Moogsoft, Dynatrace, Datadog), with measurable results such as lower MTTR, less toil or reduced alert noise.
• Work mode: Comfortable working from the office.

good to have

• Cloud certifications (e.g., Google Professional Cloud DevOps Engineer, AWS DevOps Engineer, Azure AZ-104/AZ-400)
• CKA / CKS
• Exposure to AI/LLM workload security
• On-call and 24x7 managed service experience

why searce

• Solver mindset: We hire solvers, not task-takers. You will be trusted to own problems end to end.
• Not a CAVEr, say no to HiPPO: We are not Citizens Against Virtually Everything, and the best idea wins over the highest-paid person's opinion.
• AI-native practice: ATRE is built around AI tools and AIOps from day one, so you build the future of managed services rather than inherit the past.
• Learning and growth: Partner-led certifications and exposure to Google Cloud, AWS Databricks and Anthropic Claude ecosystems.
• Culture: HAPPIER values (humble, adaptable, positive, passionate, innovative, excellence, responsible).