{"id":156817,"url":"https://alion.io/job/dxc-technology-ai-devops-engineer-mlops-cloud","title":"AI DevOps Engineer (MLOps & Cloud)","company":{"id":88,"name":"DXC Technology","domain":"dxc.com","url":"https://alion.io/company/dxc-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":153,"ghost_share":0,"stale_share":0.85,"repost_share":0.013,"time_to_fill_p50_days":27,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Petaling Jaya, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":48000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2102},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"ChatGPT","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CloudFormation","optional":false},{"name":"Configuration Management","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Weights & Biases","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-05-21T00:00:00Z","employer_posted_date":"2026-05-21","last_verified_at":"2026-10-19T15:47:42Z","board_verified":true,"closed_at":null,"days_open":151,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":151},"description":"Job Description:\nDXC Technology (NYSE: DXC) is a leading enterprise technology and innovation partner delivering software, services, and solutions to global enterprises and public sector organizations - helping them harness AI to drive outcomes at a time of exponential change with speed. With deep expertise in Managed Infrastructure Services, Application Modernization, and Industry-Specific Software Solutions, DXC modernizes, secures, and operates some of the world's most complex technology estates. Learn more on dxc.com.\nKey Responsibilities\nDesign, implement, and maintain scalable, secure cloud infrastructure for AI/ML solutions\n\nBuild and manage Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation\n\nDevelop and maintain CI/CD pipelines for AI applications and model deployment\n\nSupport end-to-end MLOps lifecycle (training, versioning, deployment, monitoring)\n\nAutomate deployments using best practices (blue/green, canary releases, rollback strategies)\n\nConfigure monitoring, alerting, and observability (logs, metrics, tracing) for production systems\n\nOptimize performance, scalability, and cost (compute, storage, GPU usage)\n\nUse AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate scripting, automation, and incident resolution\n\nTroubleshoot production issues and ensure high system reliability and availability\n\nSupport developers and data scientists on DevOps tooling and best practices\n\nImplement DevSecOps standards, including security, secrets management, and compliance\n\nMaintain clear technical documentation for infrastructure and processes\n\nSkills & Experience\n5+ years of experience in DevOps, SRE, or platform engineering\n\nStrong experience in MLOps and deployment of AI/ML solutions in production\n\nProficiency with cloud platforms (AWS, Azure, or GCP) and related AI services\n\nExpertise in Infrastructure as Code (Terraform, CloudFormation, ARM templates)\n\nHands-on experience with containerisation and orchestration (Docker, Kubernetes, Helm)\n\nStrong CI/CD experience (GitHub Actions, GitLab CI, Jenkins, Azure DevOps)\n\nFamiliarity with MLOps tools (MLflow, Kubeflow, Weights & Biases, SageMaker Pipelines)\n\nProficiency in scripting and automation (Python, Bash)\n\nExperience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog)\n\nKnowledge of DevSecOps practices and security standards\n\nExperience with secrets and configuration management (Vault, AWS Secrets Manager)\n\nPreferred Skills & Attributes\nExperience optimising AI workloads using GPUs\n\nAbility to diagnose and resolve issues using AI-assisted tools\n\nStrong problem-solving and analytical thinking\n\nPragmatic approach balancing automation, speed, and reliability\n\nAttention to detail in infrastructure design and security\n\nProactive, with strong ownership and initiative\n\nStrong collaboration and support mindset\n\nComfortable working in fast-paced, agile environments\n\nWork Environment\nAgile, fast-paced innovation environment\n\nClose collaboration with AI engineers, data scientists, and infrastructure teams\n\nStrong focus on automation, scalability, and production-ready AI systems\n\nEnglish-speaking environment (fluency required)\n\nAt DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.\nRecruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .","description_format":"text","description_chars":4157,"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":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed IT Services (MSP)","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-05-21T00:00:00Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.219,"p_room":0.28,"age_days":151,"expected_fill_days":27,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/dxc-technology-ai-devops-engineer-mlops-cloud","json_url":"https://alion.io/job/dxc-technology-ai-devops-engineer-mlops-cloud.json","meta":{"generated_at":"2026-10-19T17:36:57Z","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":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13422,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":88},"rest":"https://alion.io/mcp/rest/get_company?id=88"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdxc-technology-ai-devops-engineer-mlops-cloud"},{"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%2Fdxc-technology-ai-devops-engineer-mlops-cloud"},{"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%2Fdxc-technology-ai-devops-engineer-mlops-cloud"},{"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/dxc-technology-ai-devops-engineer-mlops-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdxc-technology-ai-devops-engineer-mlops-cloud"}]}