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Staff DevOps Engineer

Weekday AI ยท Bengaluru

Posted 8/3/2026 ยท last confirmed live 8/26/2026

Apply on Weekday AIโ€™s site
๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€ ๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿฐ๐Ÿฎ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿฑ๐Ÿฒ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿฐ๐Ÿฎ-๐Ÿฑ๐Ÿฒ ๐—Ÿ๐—ฃ๐—”) Experience: 8+ yrs Location: Bengaluru, Karnataka, India Job Type: Full-time We are seeking an experiencedย  Staff DevOps Engineer ย to lead the design, implementation, and continuous improvement of cloud-native infrastructure, CI/CD automation, and operational reliability practices. This role is ideal for a hands-on DevOps professional who combines deep technical expertise with the ability to influence engineering strategy, drive automation initiatives, and mentor high-performing teams. As a senior member of the engineering organization, you will play a key role in building scalable deployment platforms, improving system resilience, strengthening cloud security practices, and enabling faster, safer software delivery across multiple product teams. You will collaborate closely with engineering, infrastructure, security, and platform teams to ensure that cloud environments are secure, observable, reliable, and optimized for rapid growth. Requirements Key Responsibilities Design, build, and maintain scalableย  CI/CD pipelines , deployment automation workflows, and infrastructure-as-code frameworks. Drive end-to-endย  DevOps automation ย across build, test, release, and deployment processes to improve engineering productivity and delivery speed. Implement and manageย  cloud-native infrastructure ย using Kubernetes, Terraform, and modern cloud platforms such as AWS, GCP, or Azure. Partner with application, platform, and security teams to improveย  system reliability, scalability, and operational excellence . Establish monitoring, logging, alerting, and observability standards to ensure proactive detection and rapid resolution of production issues. Define and track operational KPIs such as deployment frequency, lead time for changes, infrastructure availability, incident reduction, and recovery time objectives. Implement security best practices includingย  IAM, RBAC, secrets management, encryption, vulnerability scanning, and audit logging ย across cloud environments. Lead infrastructure capacity planning, performance optimization, disaster recovery readiness, and cost-efficiency initiatives. Contribute to architecture reviews, technology roadmaps, and platform modernization efforts to support future scalability and reliability requirements. Mentor DevOps and SRE engineers through code reviews, technical guidance, operational best practices, and knowledge-sharing initiatives. Collaborate with senior leadership to communicate delivery progress, operational risks, infrastructure health, and strategic improvement opportunities. What Makes You a Great Fit 8+ years of hands-on experience inย  DevOps, Site Reliability Engineering (SRE), or cloud infrastructure engineering ย roles. Strong expertise inย  Kubernetes, Terraform, Jenkins, GitHub Actions, CI/CD pipelines, and infrastructure automation . Proven experience managingย  large-scale cloud-native environments ย on AWS, GCP, or Azure. Deep understanding ofย  containerization, orchestration, configuration management, and deployment automation . Strong knowledge ofย  monitoring, observability, incident response, and operational resilience ย practices. Hands-on experience implementingย  cloud security controls , compliance standards, access governance, and secure infrastructure patterns. Ability to troubleshoot complex distributed systems, identify root causes, and implement sustainable operational improvements. Excellent communication and stakeholder management skills with the ability to collaborate effectively across engineering, infrastructure, security, and leadership teams. Experience leading technical initiatives, influencing platform strategy, and mentoring engineering teams in a fast-paced product environment. A proactive, ownership-driven mindset with a passion forย  automation, reliability, scalability, and continuous improvement ย in modern cloud-native software delivery ecosystems.

This role is published by Weekday AI on workable. SwiftFit is not the employer and does not accept applications.