{"id":1945215,"url":"https://alion.io/job/moveworks-senior-devops-engineer","title":"Senior DevOps Engineer","company":{"id":840,"name":"Moveworks","domain":"moveworks.com","url":"https://alion.io/company/moveworks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":40},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Windsurf","optional":false},{"name":"CI/CD","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true}],"status":"live","first_seen_at":"2026-10-06T06:18:02Z","employer_posted_date":null,"last_verified_at":"2026-10-06T06:18:02Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"The engineering organisation is a dynamic group of builders, problem-solvers, and infrastructure innovators dedicated to delivering scalable, secure, and AI-powered platforms that elevate how organizations work. We value resilient architecture, automation-first thinking, and a culture of continuous improvement. Every engineer here plays a key role in shaping the reliability, security, and operational excellence of our products.\nResponsibilities:\nDesign, develop, and maintain infrastructure, including architecting and implementing robust infrastructure to support CPQ (Configure, Price, Quote) products, ensuring dependability and scalability throughout the lifecycle.\nDevelop and test software applications, including writing, testing, and refining software in Python, adhering to company requirements and best practices for maintainable and efficient code.\nBuild, deploy, and manage applications using container technologies such as Docker and orchestration tools like Kubernetes, optimising for automation and scalability.\nManage and evolve infrastructure across Google Cloud Platform (GCP), Azure, and AWS, utilising native services for high availability, resilience, security, and multicloud interoperability.\nApply core concepts such as software development lifecycles, automation, and scalable architecture in every stage of product delivery.\nDevelop secure architecture, conduct code reviews for security vulnerabilities, and institute thorough software verification and testing procedures.\nOversee deployment, monitoring, and maintenance of the CPQ suite of microservices, including several AI-driven components, ensuring reliable operations across environments.\nCollaborate with AI/ML teams to deploy and support intelligent microservices, gaining hands-on experience with data science implementations and real-world applications.\nPerform routine and advanced tasks on PostgreSQL databases, such as designing schemas, optimising queries, and ensuring data consistency and processing efficiency.\nProvide expert application support for SaaS CPQ solutions by troubleshooting technical issues and ensuring smooth operation.\nContribute to the design and implementation of new products and features while also enhancing the existing product suite.\nBe a mentor for colleagues and help promote knowledge-sharing.\nRequirements:\nExperience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.\nThis may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry.\nExperience in using AI Productivity tools such as Windsurf, Cursor, etc. Is a plus or nice to have.\nExperienceleveragingAI/ML in engineering and quality processes (e. g., automated testing, AI-driven insights, intelligent monitoring).\n5+years of experience in DevOps engineering, with a track record of delivering high-quality products.\nExperience with GCP, Azure, or AWS and Hyperscalers.\nProficiency in Python.\nExperience with the software development lifecycle (SDLC) and automation implementing automation, testing strategies, and CI/CD practices across delivery stages using GitHub for version control and GitHub Actions for automated build, test, and deployment workflows.\nExperience with PostgreSQL database management.\nExperience with AI/ML microservice integration.\nExperience with Docker and Kubernetes.\nExperience with regulated markets on Azure is a plus.","description_format":"text","description_chars":3490,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Service & Asset Management","Conversational AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-10-06T06:18:02Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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