Jobs Companies Weekday AI Staff DevOps Engineer

À propos de ce poste Staff DevOps Engineer chez Weekday AI

Weekday AI · Sur site · Bengaluru, Karnataka, India

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

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À propos de Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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