# Staff DevOps Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-11

**Salary:** INR 4,000,000–8,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 4000000 - Rs 8000000 (ie INR 40 - 80 LPA)**

Min Experience: 10+ years

Location: Bengaluru, Karnataka, India  
JobType: full-time

We are looking for an experienced DevOps / Platform Engineering leader with strong expertise in cloud infrastructure, SRE, automation, security, and platform scalability for mission-critical systems.

## Requirements

**Key Responsibilities**

### Platform Architecture & Scalability

-   Design, build, and operate highly scalable, reliable, secure, and fault-tolerant cloud infrastructure
-   Make architectural trade-offs and drive infrastructure decisions for large-scale distributed systems
-   Improve platform reliability, deployment velocity, operational excellence, and developer experience
-   Drive infrastructure modernization, automation, and cloud-native engineering practices

### Technical Leadership

-   Mentor and guide DevOps, SRE, and Platform Engineering teams
-   Demonstrate strong technical leadership and create engineering impact across teams
-   Lead AI adoption strategies for engineering productivity, infrastructure automation, and operational efficiency
-   Participate in infrastructure, architecture, and security reviews to maintain high engineering standards

### DevOps, Security & Compliance

-   Drive secure and compliant deployment practices aligned with PCI-DSS, SOC2, and related standards
-   Lead incident response, production outage management, RCA/post-mortems, and SRE practices
-   Ensure platform security, reliability, scalability, and observability across environments

### Cross-Functional Collaboration

-   Partner with Engineering, Product, Security, Data, and QA teams to define and execute platform roadmap
-   Translate business and engineering requirements into scalable infrastructure solutions
-   Manage stakeholder communication related to deliverables, risks, dependencies, and timelines
-   Coordinate planning and execution across cross-functional teams

### Performance & Optimization

-   Drive capacity planning, infrastructure performance tuning, and cloud cost optimization
-   Continuously improve monitoring, logging, tracing, and operational visibility
-   Enhance deployment pipelines and infrastructure automation practices

### Education & Experience

-   Bachelor’s or Master’s degree in Computer Science or equivalent (B.E / B.Tech / MCA / M.Tech)
-   10+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure roles
-   Strong experience working with large-scale distributed production systems in reputed product or fintech organizations

**Required Skills**

**Cloud & Infrastructure**

Strong hands-on expertise with AWS cloud infrastructure and services such as:

-   ECS, EC2, VPC, IAM, RDS, Kinesis, WAF, SSM, Secrets Manager, etc.
-   Deep understanding of Linux production environments
-   Strong knowledge of distributed systems, networking, system internals, and asynchronous architectures

### Automation & Infrastructure as Code

-   Strong programming/scripting skills in Go, Python, or Shell scripting
-   Expertise in Infrastructure as Code tools such as Terraform, CDK, or CloudFormation

Strong experience with CI/CD and GitOps practices using: 

GitHub Actions, GitLab CI, Jenkins, etc.

### Observability & Reliability

Hands-on experience with observability and monitoring stacks:

-   Prometheus, Grafana, OpenTelemetry, distributed tracing, and centralized logging
-   Strong understanding of performance engineering, reliability, scalability, and production operations

### Containers & Databases

-   Experience with Docker, container runtimes, and container image security

Experience managing RDBMS and NoSQL databases at scale:

-   PostgreSQL, MongoDB, Redis
-   Strong understanding of load balancing, API gateways, and low-latency distributed services

### Engineering & Execution

-   Experience with microservices architecture and service-to-service communication patterns
-   Ability to scope, estimate, prioritize, and execute infrastructure/platform releases
-   Strong analytical, problem-solving, and communication skills
-   Passion for building scalable engineering systems and solving complex infrastructure challenges

### Good to Have

-   Prior experience in fintech or payments domain
-   Hands-on Kubernetes production experience
-   Experience with blockchain, stablecoins, or cryptocurrency infrastructure
-   AWS cloud certifications
-   Familiarity with PCI-DSS, SOC2, OWASP, static code analysis, and security tooling
-   Exposure to data engineering technologies such as ClickHouse and dbt
-   Prior experience working in high-growth startup environments

### Must-have skills

DevOps, CI/CD, Terraform

### Good-to-have skills

Jenkins, Docker and Kubernetes, observability

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/DE5038521C/apply)

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