Job Description

Role : Senior Software Engineer (SRE Focus) (Site Reliability Engineer)
Experience : 7+ Years (Mandatory)
Work Location : Bangalore (Work from office with 3 days office and 2 days Work From Home)
Budget : 35 - 37 LPA
Number of Positions : 2 - 3 Positions
PFB :
Note: Client need Go Lang experience with Devops. Important mandate skills are highlighted below for reference
The Role
We're building a team that owns production incident response, deep debugging, and permanent fixes across application, data, and deployment layers.
This is not a tickets-only ops role. You will write code, ship fixes safely, and harden the platform so issues don't repeat.
Note: This is a SRE/software engineering role with real production ownership. You ll combine engineering and operations to own outcomes end-to-end: investigate incidents, ship code fixes, and prevent repeat issues through tests, observability, and hardening.
What you'll do
Lead and execute production incident response: triage, mitigation, stakeholder communication, and coordination across teams
Debug and fix issues across Go services (mandatory) and the broader stack (Node.js services where relevant)
Work across service boundaries: GraphQL/RPC, distributed tracing, dependency failures, performance bottlenecks, and safe degradation patterns
Troubleshoot Kubernetes workloads and deployments
Diagnose PostgreSQL/CNPG issues
Handle production bugs that span application + data pipelines (ETL/Snowflake mappings), including backfills/replays and data-quality validation
Build prevention: add regression tests, improve observability , and maintain runbooks/service passports
Drive reliability improvements: SLOs/SLIs, alert quality, release readiness checks, and operational standards across teams
What we're looking for (must-have)
7+ years in SRE / Production Engineering / Platform Engineering (reliability-focused)
Strong Go (mandatory): ability to read, debug, and ship production fixes in Go codebases
Proven experience debugging distributed systems in production (latency, error rates, timeouts, retries, cascading failures)
Strong hands-on experience with Kubernetes in production environments
Experience with Helm and GitOps workflows (FluxCD preferred; ArgoCD acceptable)
Solid PostgreSQL troubleshooting experience (performance, incident patterns, migrations)
Observability experience (metrics/logging/tracing; Datadog/Grafana/Tempo/Loki experience is a plus)
Strong incident leadership: calm under pressure, clear communication, structured problem-solving
Engineering hygiene: PR discipline, reviews, testing mindset, safe rollouts/rollbacks
Comfortable with IAM/security fundamentals in real production systems: OAuth2/OIDC basics, RBAC/least privilege, and safe secrets handling
Nice-to-have
Node.js backend experience in production
Experience in FinTech / regulated environments / high-availability systems (auditability, change control, incident rigor)
Data reliability experience: ETL monitoring, reconciliation, Snowflake operations, schema/mapping drift handling
Reliability patterns common to trading/fintech platforms: correctness and data integrity mindset (idempotency, reconciliation), resilient partner integrations, and strong observability for critical user journeys
Why join
Build a new function with real impact on reliability and engineering culture
Work across the full production surface area: application + platform + database + data pipelines + Our Whole Product
High ownership role: you'll influence production standards, tooling, and release safety across teams.

Skills Required