{"id":93392,"url":"https://alion.io/job/talent-management-solutions-devops-engineer","title":"AI DevOps Engineer","company":{"id":3420,"name":"Talent Management Solutions","domain":"talentmanagementsolution.com","url":"https://alion.io/company/talentmanagementsolution","size_band":"1001-5000","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":9,"ghost_share":0,"stale_share":0.778,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lahore, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"Blue-Green Deployment","optional":false},{"name":"Checkov","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Dependabot","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FinOps","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"New Relic","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snyk","optional":false},{"name":"SonarQube","optional":false},{"name":"Terraform","optional":false},{"name":"Trivy","optional":false},{"name":"AutoGen","optional":true},{"name":"Azure","optional":true},{"name":"CrewAI","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-22T20:18:26Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"About Contour\nContour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.\nAs a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.\nWhat started as an R&D & Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore & Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!\nPosition Summary\nDealer Information Systems Corporation (DIS)is seeking an experienced AI DevOps Engineer to design, automate, secure, and optimizecloud-native infrastructure on AWS while leveragingAI-powered tools and practices to accelerate software delivery, improve operational efficiency, and enhance platform reliability. The ideal candidate combines strong AWS DevOps expertisewith practical experience integrating AI technologies into CI/CD pipelines, cloud operations, observability, security, and infrastructure automation.\nThis role will work closely with Software Engineering, Cloud Architecture, Security, Data, and AI teams to build scalable, resilient, and intelligent cloud platforms that support modern application development and AI-driven workloads.\nDivision Link: https://csiperseus.com/resources/portfolio/dis/\nKey Responsibilities:\nAWS Cloud Infrastructure & Platform Engineering\nDesign, implement, and manage highly availableAWS cloud environments.\n\nBuild and maintaininfrastructure using Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation.\n\nAdminister and optimizeAWS services including:\n\nECS / EKS\n\nEC2\n\nLambda\n\nRDS\n\nDynamoDB\n\nS3\n\nRoute53\n\nCloudFront\n\nAPI Gateway\n\nIAM\n\nVPC\n\nAWS Organizations\n\nImplement scalable multi-account and multi-environment cloud architectures.\n\nDevOps & CI/CD Automation\nDesign and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar platforms.\n\nAutomate application deployments across development, QA, staging, and production environments.\n\nImplement GitOpspractices and deployment strategies including blue-green, canary, and rolling deployments.\n\nImprove deployment frequency, reliability, and release quality through automation.\n\nAI-Driven DevOps Enablement\nIntegrate AI-powered development and operational tools into engineering workflows.\n\nLeverage Generative AI platforms such as:\n\nOpenAI\n\nAmazon Bedrock\n\nAnthropic Claude\n\nGitHub Copilot\n\nAmazon Q\n\nCursor\n\nDevelop AI-assisted solutions for:\n\nInfrastructure automation\n\nIncident analysis\n\nRoot cause identification\n\nLog analysis\n\nAutomated remediation\n\nCapacity forecasting\n\nDeployment validation\n\nCost optimization\n\nBuild internal AI agents and automation workflows to streamline operational processes.\n\nPlatform Reliability & Observability\nImplement monitoring, logging, and alerting solutions.\n\nManage observability platforms such as:\n\nCloudWatch\n\nGrafana\n\nPrometheus\n\nDatadog\n\nELK / OpenSearch\n\nNew Relic\n\nDefine and maintain SLI, SLO, and SLA metrics.\n\nConduct performance tuning and proactive reliability improvements.\n\nDevSecOps& Security\nEmbed security controls throughout the software development lifecycle.\n\nImplement automated security scanning and compliance checks.\n\nUtilize tools such as:\n\nTrivy\n\nSonarQube\n\nSnyk\n\nDependabot\n\nCheckov\n\nAWS Security Hub\n\nGuardDuty\n\nSupport cloud governance, vulnerability management, and compliance initiatives.\n\nAI/ML Infrastructure Support\nProvision and manage infrastructure supporting AI/ML workloads.\n\nDeploy and optimize:\n\nAmazon SageMaker\n\nBedrock-based applications\n\nVector databases\n\nGPU-enabled workloads\n\nAI inference services\n\nSupport MLOpspipelines and model deployment automation.\n\nCloud Cost Optimization (FinOps)\nMonitor and optimizeAWS cloud spend.\n\nImplement intelligent cost-monitoring and AI-driven recommendations.\n\nImprove resource utilizationthrough automation and predictive scaling.\n\nRequired Qualifications\nBachelor's degree in Computer Science, Software Engineering, Information Technology, or related field.\n\n4+ years of AWS DevOps experience.\n\n3+ years of experience managing containerized environments using ECS, EKS, Kubernetes, and Docker.\n\nStrong expertisein Infrastructure as Code using Terraform and/or CloudFormation.\n\nExperience building CI/CD pipelines using GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.\n\nStrong scripting skills in Python, Bash, or PowerShell.\n\nExperience with Linux administration and cloud networking.\n\nHands-on experience with monitoring and observability platforms.\n\nFamiliarity with Generative AI tools and AI-assisted software engineering practices.\n\nStrong understanding of cloud security, IAM, networking, and DevSecOpsprinciples.\n\nPreferred Qualifications\nExperience with Amazon Bedrock, Amazon Q, SageMaker, or other AI/ML platforms.\n\nExperience building AI-powered operational automation solutions.\n\nKnowledge of MLOpspractices and model deployment workflows.\n\nAWS Solutions Architect, DevOps Engineer Professional, or Security Specialty certifications.\n\nExperience with large-scale SaaS platforms and multi-tenant environments.\n\nExposure toAgentic AI frameworks, MCP servers, LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.\n\nExciting Benefits we offer:\nMarket-leading Salary\nMedical Coverage - Self & Dependents\nParents Medical Coverage\nProvident Fund\nEmployee Performance-based bonuses\nHome Internet Subsidy\nConveyance Allowance\nProfit Sharing Plan [Tenured Employees Only]\nLife Benefit\nChild Care Facility\nCompany Provided Lunch/Dinner\nProfessional Development Budget\nRecreational area for in-house games\nSporadic On-shore training opportunities\nFriendly work environment\nLeave Encashment\nDisclaimer: At Contour, we attribute our success to the unique contributions of our diverse staff. We’re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we’ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.\nIn our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. 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