{"id":2600512,"url":"https://alion.io/job/pvh-senior-devops-engineer","title":"Senior DevOps Engineer","company":{"id":4854,"name":"PVH","domain":"pvh.com","url":"https://alion.io/company/pvh","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"DNS","optional":true},{"name":"Feature Store","optional":true},{"name":"GitLab","optional":true},{"name":"GitLab CI","optional":true},{"name":"IAM","optional":true},{"name":"Incident Management","optional":true},{"name":"Least Privilege","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"SLI/SLO/SLA","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T10:15:10Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Us:\nWe are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.\nOne of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging.Learn more about Inclusion & Diversity at PVH here.\nPOSITION SUMMARY:\nWe are looking for a Senior DevOps Engineer to join the Enterprise Data Platform team and help mature the engineering, automation, deployment, monitoring, and operational capabilities of our global data platform.\nThe Enterprise Data Platform is a strategic data foundation supporting analytics, reporting, data products, and business intelligence across multiple regions and business domains. The platform is moving toward a modern AWS-first data architecture, with Databricks, Delta Lake, Unity Catalog, AWS S3, IAM, KMS, PrivateLink, Terraform, GitLab CI/CD, and Databricks Asset Bundles as key technology components.\nThis role will be responsible for improving how EDP engineering teams build, test, deploy, monitor, and operate data platform solutions across environments. You will work closely with data engineers, architects, platform teams, security, cloud infrastructure, AMS support teams, and product stakeholders to create reliable, secure, automated, and scalable DevOps practices for EDP.\nPRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:\nArea\nResponsibilities\nDevOps & CI/CD\nDesign, build, and maintain GitLab CI/CD pipelines for EDP data engineering assets, Databricks jobs, workflows, notebooks, SQL assets, and platform configurations.\nInfrastructure as Code\nBuild, maintain, and improve Terraform modules for AWS infrastructure, Databricks workspace configuration, networking, IAM, storage, and platform components.\nDatabricks Deployment Automation\nImplement and standardize Databricks Asset Bundles (DAB) for deploying Databricks workflows, jobs, notebooks, permissions, and environment-specific configurations.\nAWS Platform Engineering\nSupport AWS-native platform components including S3, IAM roles, KMS, STS, VPCs, subnets, security groups, route tables, VPC endpoints, PrivateLink, and cross-account access patterns.\nRelease Management\nSupport structured release governance across Dev, QA, QA2, Prod, and DR environments, including release tagging, deployment validation, rollback planning, and production readiness checks.\nMonitoring & Observability\nImprove monitoring and alerting for Databricks jobs, workflows, pipelines, SQL warehouses, batch SLAs, cloud services, and platform health using Databricks system tables, cloud logs, dashboards, and alerts.\nSecurity & Access Controls\nAutomate and govern least-privilege access using IAM roles, service principals, Unity Catalog permissions, storage access controls, secrets, KMS encryption, and audit logging.\nNetwork & Connectivity\nSupport secure connectivity patterns involving Databricks on AWS, S3, PrivateLink, VPC endpoints, enterprise network inspection, DNS, controlled ingress/egress, and cross-cloud transition scenarios.\nOperational Excellence\nPartner with AMS and engineering teams to improve incident triage, root cause analysis, batch monitoring, SLA visibility, production support handoffs, and operational runbooks.\nEngineering Standards\nHelp define and enforce standards for GitLab workflows, merge request checks, deployment approvals, unit testing, release validation, and reusable deployment patterns.\nPlatform Modernization\nContribute to EDP’s AWS migration and modernization roadmap, including platform automation, environment consistency, scalable deployment patterns, and improved operational resilience.\nSUPERVISORY RESPONSIBILITIES:\nDirect: NA\nBUDGETARY RESPONSIBILITIES:\nNone\nØ RESOURCEFULNESS:\nGitLab CI/CD pipeline design and implementation\nTerraform modules for AWS and Databricks infrastructure\nDatabricks Asset Bundles for Databricks deployment automation\nDatabricks workspace configuration and environment promotion\nDev, QA, QA2, Prod, and DR deployment patterns\nAWS S3, IAM, KMS, STS, VPC endpoints, PrivateLink, and cross-account access\nDatabricks Unity Catalog permissions and governance automation\nDatabricks workflows, jobs, notebooks, SQL warehouses, and cluster policies\nRelease tagging, deployment approvals, rollback procedures, and release validation\nMonitoring for Databricks jobs, workflows, batch SLAs, and platform usage\nOperational runbooks for AMS, platform support, and engineering teams\nSecure access patterns for data ingestion, data products, and enterprise integrations\nENVIRONMENT:\nØ Complex work environment with heavy interpersonal & technical demands\nØ Requires multi-tasking and coordination across multiple geographic locations\nQUALIFICATIONS & EXPERIENCE:\nBachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.\n6+ years of DevOps, platform engineering, cloud engineering, or data platform engineering experience.\nStrong hands-on experience with GitLab CI/CD.\nStrong hands-on experience with Terraform for infrastructure automation.\nExperience with AWS cloud infrastructure, especially S3, IAM, KMS, STS, VPC, subnets, security groups, VPC endpoints, and PrivateLink.\nExperience with Databricks platform engineering or deployment automation.\nExperience implementing or supporting Databricks Asset Bundles, or similar Databricks deployment frameworks.\nGood understanding of Databricks workflows, jobs, clusters, notebooks, SQL warehouses, permissions, and workspace configuration.\nGood understanding of Unity Catalog, data access controls, external locations, storage credentials, and governance concepts.\nStrong scripting experience using Python, Bash, or similar scripting languages.\nGood understanding of SQL, Spark, Delta Lake, and modern data platform concepts.\nExperience supporting production platforms with monitoring, alerting, logging, incident management, and operational runbooks.\nStrong troubleshooting skills across cloud, network, security, CI/CD, and data platform layers.\nExperience working in Agile delivery models with globally distributed engineering teams.\nPreferred Experience\nExperience with one or more of the following would be a strong plus:\nAWS multi-account patterns and cross-account IAM role access.\nAWS S3 data lake architecture, bucket policies, KMS encryption, and lifecycle policies.\nAWS PrivateLink, gateway endpoints, interface endpoints, DNS, and enterprise network routing.\nDatabricks on AWS, including workspace deployment, cluster policies, job clusters, serverless, SQL warehouses, system tables, and audit logs.\nDatabricks Unity Catalog, Delta Sharing, external locations, storage credentials, and permission automation.\nDatabricks Asset Bundles for multi-environment deployment.\nGitLab merge request workflows, CI/CD templates, protected branches, environment approvals, and release tagging.\nTerraform module design, state management, environment parameterization, and reusable IaC patterns.\nData platform observability using Databricks system tables, cloud logs, dashboards, and SLA reporting.\nPower BI connectivity to Databricks and service-principal-based access patterns.\nMLOps concepts including model deployment, versioning, feature stores, experiment tracking, and ML workflow automation.\nExperience supporting Azure-to-AWS migration or multi-cloud transition programs.\nKey Skills\nSkill Area\nExpected Capability\nPrimary Cloud\nAWS, S3, IAM, KMS, STS, VPC, PrivateLink, VPC endpoints\nDevOps Platform\nGitLab CI/CD, merge requests, protected branches, approvals, release tagging\nInfrastructure as Code\nTerraform modules, state management, reusable IaC patterns\nDatabricks Deployment\nDatabricks Asset Bundles, workflows, jobs, notebooks, SQL assets\nData Platform\nDatabricks, Delta Lake, Spark, Unity Catalog, SQL Warehouses\nSecurity\nIAM roles, service principals, KMS, secrets, access controls, auditability\nMonitoring\nDatabricks system tables, cloud logs, dashboards, alerts, SLA tracking\nScripting\nPython, Bash, SQL\nOperations\nIncident triage, RCA, runbooks, release controls, production support\nWays of Working\nAgile delivery, documentation, cross-functional collaboration, ownership\nYou Are\nProactive and comfortable owning platform improvements end to end.\nStrong in problem solving, debugging, and structured investigation.\nExperienced in building automation rather than relying on manual operations.\nComfortable working across engineering, architecture, security, infrastructure, and support teams.\nDetail-oriented when it comes to production controls, access, security, and release quality.\nPragmatic and delivery-focused, with a bias toward simplification and standardization.\nAble to explain technical topics clearly to both technical and non-technical stakeholders.\nPassionate about building reliable, scalable, secure, and well-governed data platforms.\nSuccess in This Role Looks Like\nGitLab CI/CD becomes the standard deployment path for EDP engineering assets.\nTerraform modules are reusable, secure, and consistently applied across environments.\nDatabricks Asset Bundles are adopted as the standard for Databricks job and workflow deployments.\nAWS infrastructure and Databricks environments are provisioned consistently and with minimal manual effort.\nReleases become safer, faster, and better governed across Dev, QA, QA2, Prod, and DR.\nMonitoring gives early visibility into job failures, SLA risks, platform issues, and operational bottlenecks.\nSecurity and access controls are automated, auditable, and aligned with least-privilege principles.\nAMS and engineering teams have clear runbooks, handoffs, and operational ownership models.\nWhat We Offer\nOpportunity to work on a strategic global Enterprise Data Platform.\nExposure to modern AWS-first data platform architecture with Databricks at the core.\nOpportunity to contribute to a major cloud migration and platform modernization journey.\nA collaborative, international technology environment.\nHigh visibility across data engineering, architecture, security, infrastructure, and analytics teams.\nSpace to drive automation, improve engineering maturity, and shape DevOps standards for the platform.\nPVH Corp. or its subsidiary (\"PVH\") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.","description_format":"text","description_chars":11369,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Apparel & Fashion Brands","Lingerie, Underwear & Swimwear"],"lifecycle":[{"event":"open","at":"2026-10-15T07:54:30Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.854,"p_room":1,"age_days":4,"expected_fill_days":28,"reasons":["conf:19","win:early","comp:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pvh-senior-devops-engineer","json_url":"https://alion.io/job/pvh-senior-devops-engineer.json","meta":{"generated_at":"2026-10-16T15:27:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"assistant_verified","counted_by":"address","units_charged":1,"used_today":2857,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4854},"rest":"https://alion.io/mcp/rest/get_company?id=4854"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpvh-senior-devops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpvh-senior-devops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpvh-senior-devops-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pvh-senior-devops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpvh-senior-devops-engineer"}]}