{"id":2291395,"url":"https://alion.io/job/authority-partners-senior-devops-engineer-mlops","title":"Senior DevOps Engineer (MLOps)","company":{"id":4406291,"name":"Authority Partners","domain":"authoritypartners.com","url":"https://alion.io/company/authority-partners","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"CATS","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC","PM","SX"],"hiring_countries_total":45,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":199000,"period":"year","method":"global_role_seniority_cell","sample_n":2792},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"IAM","optional":false},{"name":"Istio","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Service Mesh","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"Vault","optional":false},{"name":"Feast","optional":true},{"name":"Feature Store","optional":true},{"name":"HashiCorp Vault","optional":true},{"name":"JFrog Artifactory","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-11T18:37:18Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-13T01:35:13Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Authority Partners is actively searching for a talented Senior DevOps Engineer to become an integral part of our dynamic global team. In this role, you will play a crucial role in designing, developing, and maintaining large-scale distributed systems. You will be the DevOps expert in the room: you design solutions, propose them and drive them through, so data, ML and AI engineers can focus on their own work instead of deployment tooling.\nInterested? Then read on and apply! \nKey responsibilities\nBuild, automate and own the CI/CD and deployment paths that data, ML and AI engineers use to ship data products, ML models and GenAI applications on AWS (SageMaker, Bedrock, S3).\nCreate reusable, versioned pipeline templates and workflows that teams adopt rather than copy, with security and compliance controls built in by default.\nImplement and automate required gates and record keeping, so every deployment is auditable and the compliant path is the easiest path for developers.\nProvide self-service tooling with fast feedback and clear error messages.\nPartner with the Infrastructure Platform Engineering team, who own the underlying Kubernetes infrastructure, and bring their infrastructure as code into the pipelines (Terraform, Kubernetes, Gloo Mesh, EKS).\nAutomate model serving, versioning and rollback, and monitor model performance and drift (SageMaker, MLflow).\nSupport data and AI workloads such as Snowflake and Airflow (Astronomer), with artifacts in JFrog and GitOps delivery through ArgoCD on GitHub Enterprise.\nEnforce access control, audit logging and environment isolation; manage secrets in AWS Secrets Manager or Vault; work within SailPoint and SecureOps controls.\nOperate and improve what you build: runbooks, daily operations, and cutting manual, repetitive DevOps work.\nUse AI-assisted engineering tools daily and help shape how EP's DevOps team uses AI well.\nDocument and hand over everything so EP's DevOps staff can operate and extend it, and help full-time staff build their own expertise.\nRequirements\nMust have\n5+ years in DevOps, SRE or platform engineering, with 2+ years supporting ML, data or AI workloads in production.\nProven ability to lead technically: design a solution, propose it, and drive it to completion with other teams.\nStrong hands-on AWS, including SageMaker, S3 and IAM; exposure to Amazon Bedrock.\nTerraform at production scale.\nCI/CD with GitHub Actions / GitHub Enterprise and GitOps with ArgoCD.\nDocker and Kubernetes (EKS); exposure to a service mesh (Gloo Mesh or Istio).\nExperience building governed pipelines with automated compliance gates and audit trails.\nWorking knowledge of data and AI tooling such as Snowflake, Airflow and MLflow: how they are used, even if not an expert.\nDaily, proficient use of AI-assisted engineering tools.\nPython scripting; observability tooling such as CloudWatch, Prometheus or Grafana.\nStrong documentation and knowledge-transfer habits.\nFluent English and confidence working directly with client stakeholders.\nNice to have\nOperating LLM applications on Bedrock (RAG pipelines, vector databases).\nJFrog Artifactory / JFrog ML.\nFeature store experience (SageMaker Feature Store, Feast or similar).\nHashiCorp Vault and identity governance tooling such as SailPoint.\nAWS certifications (DevOps Engineer Professional, Machine Learning Engineer Associate or ML Specialty).\nExperience working in an on-call support rotation.\nEducation:\nBachelor's degree in Computer Science, Software Engineering or related field would be of great value, but if you’re passionate and have the experience that backs up your abilities, for us, talent outweighs degree every time.\nAP Perks:\nCutting-edge technologies\nOpportunity to work with people who are at the top of their field\nGreat culture and environment\nCompetitive remuneration package - we reward excellence\nReferral bonuses\nCareer growth\nCollaborative learning environment\nMentorship programs\nProfessional training\nAbout Authority Partners:\nAuthority Partners is a leading and global IT services company with over 28 years of experience, serving clients within the financial, healthcare, insurance, mortgage and technology sectors among many others. We are committed to building relationships with IT professionals who possess integrity, dedication, teamwork, and the desire to learn and grow with us. We specialize in placement for long-term contract and permanent opportunities and helping our consultants achieve their career success.\nAuthority Partners is an equal opportunity employer and is committed to providing a workplace that is free from all types of discrimination, as well as from abusive or offensive behavior and harassment.","description_format":"text","description_chars":4671,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Argentina","iso":"AR","kind":"region"},{"name":"Brazil","iso":"BR","kind":"region"},{"name":"Colombia","iso":null,"kind":"region"},{"name":"Mexico","iso":"MX","kind":"region"},{"name":"Anguilla","iso":null,"kind":"region"},{"name":"Antigua and 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