Site Reliability Engineer

Bajaj Broking; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Equity or performance-based bonus (if/

Job summary

Bajaj Broking seeks a Lead Site Reliability Engineer (SRE) to own resilience, scalability, and performance of core trading platforms. you will bridge software engineering and systems operations, building self-healing infrastructure, automating toil away, and maintaining ultra-low latency systems.

You will design high-concurrency cloud infrastructure, manage multi-tenant Kubernetes clusters, and lead incident response with a strong focus on automation and reliability across regions.

Qualifications

• 8-10 years of SRE, Platform Engineering, or Cloud Infrastructure experience.
• Strong Kubernetes (EKS/GKE/Self-hosted) and Docker production expertise.
• Proficient with Infrastructure as Code (IaC) tools like Terraform; automation as core practice.

Responsibilities

• Architect self-healing, scalable cloud infra for high concurrency.
• Lead automation to reduce toil using Terraform, Ansible, and Python/Go.
• Build observability pipelines with Prometheus, Grafana, Datadog, and ELK.
• Define SLIs/SLOs and manage error budgets across microservices.
• Lead incident responses, perform RCAs, and drive long-term fixes.

Skills

Kubernetes

Docker

Terraform

Ansible

Python

Go

Bash

CI/CD

Observability

Incident Response

Education

Bachelor's degree in Computer Science/Engineering

Tools

GitHub Actions

GitLab CI

ArgoCD

Prometheus

Grafana

Datadog

ELK

Job description

At Bajaj Broking, high availability isn't just an internal KPI- it's the backbone of every trade, order execution, and portfolio update across millions of retail investors. During high-volatility market opens, our systems process massive spikes in concurrent transactions. Zero downtime is our baseline.

We are looking for a Lead Site Reliability Engineer (SRE) with 8-10 years of engineering experience to own the resilience, scalability, and performance of our core trading platforms. You will bridge the gap between software engineering and systems operations—building self-healing infrastructure, automating away operational toil, and maintaining ultra-low latency infrastructure.

What You'll Do

• Architect for Scale: Design, deploy, and manage self-healing, high-concurrency cloud infrastructure and multi-tenant Kubernetes clusters.
• Eliminate Toil: Drive an "Automation-First" culture using Terraform, Ansible, and Python/Go to automate infrastructure provisioning, auto-scaling, and failovers.
• Master Observability: Build full-stack observability pipelines (Prometheus, Grafana, Datadog, ELK) to capture high-cardinality metrics, tracing, and log aggregation before issues hit production.
• Define Reliability Standards: Establish and enforce SLIs, SLOs, and Error Budgets across microservices teams to strike the right balance between rapid deployment and platform stability.
• Incident Commander & RCA: Lead high-severity incident responses, conduct blameless Root Cause Analyses (RCAs), and build long-term engineering fixes to eliminate recurring failure modes.
• CI/CD Optimization: Optimize continuous deployment pipelines (GitHub Actions, GitLab CI, ArgoCD) for zero-downtime, continuous release cycles.
• Disaster Recovery (DR) & Chaos Engineering: Conduct chaos testing and design multi-region disaster recovery protocols to guarantee business continuity under any scenario.

What We're Looking For

• 8-10 years of hands-on experience in SRE, Platform Engineering, or Cloud Infrastructure handling mission-critical, large-scale systems.
• Containerization & Orchestration: Deep expertise with Kubernetes (EKS/GKE/Self-hosted) and Docker in production.
• Infrastructure as Code (IaC): Advanced hands-on mastery of Terraform and modular automation tools.
• Cloud Mastery: Strong expertise across AWS, Azure, or GCP core services, networking (VPCs, BGP, DNS, Load Balancers), and IAM security models.
• Coding & Scripting: Strong programming ability in Python, Go, or Bash to build custom operators, internal tools, and automation scripts.
• Observability Expert: Practical experience setting up distributed tracing, APM, and automated alerting frameworks.

Nice to Have

• Fintech Experience: Prior exposure to high-frequency trading platforms, broking systems, payment gateways, or banking backends.
• Service Mesh: Exposure to Istio or Linkerd.
• Certifications: CKA/CKAD, AWS Solutions Architect Professional, or GCP Cloud Engineer.

Equal Opportunity Employer

At Bajaj Broking, we build teams solely on technical merit, problem-solving ability, and shared commitment to technical excellence.