{"id":3986778,"url":"https://alion.io/job/cai-enterprise-devops-engineer","title":"Enterprise DevOps Engineer","company":{"id":1819291,"name":"CAI","domain":"cai.io","url":"https://alion.io/company/cai-io","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-09T06:03:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80,"max":85,"currency":"USD","period":"hour","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copado","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"Apex","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-09T21:53:20Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T21:53:20Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Enterprise DevOps EngineerReq number:\nR8934Employment type:\nFull timeWorksite flexibility:\nHybridWho we are\nCAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.\nJob Summary\nAs an Enterprise DevOps Engineer, you will lead the architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS cloud infrastructure, and supporting data ecosystems, including Snowflake.Job Description\nWe are looking for an Enterprise DevOps Engineer to lead the architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS cloud infrastructure, and supporting data ecosystems, including Snowflake. This position will be a contract and hybrid role with 3 days onsite and 2 days remote in Trenton, NJ. Local candidates only, please.\nOnly candidates with work authorizations not requiring sponsorship now or in the future will be considered.\nWhat You’ll Do\nLead architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS, and supporting data ecosystems including Snowflake\nDesign and maintain automated CI/CD pipelines across Salesforce using Copado, AWS workloads using GitHub Actions and AWS CodePipeline, and analytics environments\nArchitect automated release workflows in Copado, standardizing deployment stages, metadata validations, and org-to-org synchronization\nDevelop, test, and deploy serverless applications and backend microservices in AWS using Python or Node.js and services including AWS Lambda, API Gateway, SQS, SNS, and EventBridge\nBuild and maintain event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS storage and compute services, and Snowflake\nDevelop, provision, and maintain cloud infrastructure and application environments using CloudFormation and Terraform\nSupport automated schema migrations, objects, and deployment pipelines for enterprise cloud data platforms including Snowflake\nDefine and enforce enterprise Git and GitHub branching strategies, pull request workflows, and merge conflict resolution processes across application code and infrastructure as code templates\nIntegrate automated unit testing, linting, secrets management, and security vulnerability scanning into deployment pipelines\nOversee multi-tier sandbox seeding, data masking, and metadata parity across enterprise environments\nConfigure application telemetry, pipeline metrics, and operational monitoring across Amazon CloudWatch and Salesforce diagnostic tools\nAuthor runbooks, API documentation, deployment architecture diagrams, and release governance standards\nWhat You'll Need\nRequired:\nBachelor's or master's degree in computer science, information technology, or a related field\n7 years of enterprise version control and release engineering experience using Git, GitHub, and branching governance\n4 years of Salesforce CI/CD architecture and Copado release management experience\n5 years of AWS development and infrastructure experience including Lambda, S3, IAM, CloudFormation, and Terraform\n5 years of scripting and pipeline automation experience using Python, Bash, and GitHub Actions\nPreferred:\n4 years of Salesforce DX (SFDX) and Metadata API management experience\n3 years of data platform release automation experience including Snowflake and schema migrations\nAWS Certified DevOps Engineer certification or similar AWS certification\nLinkedIn profile if available\nSalesforce Trailblazer profile if available\nPhysical Demands\nAbility to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards\nSedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.\nAbility to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor\nReasonable accommodation statement\nIf you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to  (888) 824 - 8111.\nEEO Statement\nIt is the policy of Computer Aid, Inc.(CAI) not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of CAI to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.\nEmployees and applicants of CAI will not be subject to harassment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.\n$80-$85 per hourThe pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. 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