{"id":3182916,"url":"https://alion.io/job/revvity-ai-applications-devops-intern","title":"AI Applications DevOps Intern","company":{"id":20081,"name":"Revvity","domain":"revvity.com","url":"https://alion.io/company/revvity","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":20,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"DevOps","role_family":"DevOps","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"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":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-27T23:40:13Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Title\nAI Applications DevOps InternLocation(s)\nMumbaiAbout Us\nRevvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health.\nFind your future at Revvity\nJob Application Process\n1) Review the Job Description in detail\n2) Complete the mandatory questionnaire https://forms.cloud.microsoft/r/agdKBU4dTM\n3) Submit the application on Workday\nOnly candidates who complete the questionnaire and apply for Job on workday will be considered for further evaluation.\nAI Applications DevOps Intern\nWhat's in it for You\nExperience personalized career journeys with growth-oriented development opportunities.\nEngage in purpose-driven work that makes a positive impact on society.\nBe part of a values-driven culture that fosters inclusivity and innovation. \nYour Superpowers in Action\nAssist in designing, implementing, and maintaining CI/CD pipelines for AI application deployment on AWS infrastructure.\nCollaborate with AI Development co-ops to automate LLM application deployment and testing workflows.\nHelp monitor and troubleshoot cloud-based AI systems using AWS CloudWatch, CloudTrail, and other monitoring tools.\nSupport containerization efforts using Docker and AWS ECS/EKS for ML applications.\nParticipate in implementing infrastructure-as-code using tools like AWS CloudFormation or Terraform. \nBasic qualifications\nCurrently pursuing a degree in Computer Science, Software Engineering, or related technical field.\nBasic understanding of cloud computing concepts and AWS services (EC2, S3, Lambda).\nFamiliarity with at least one programming language (js preferred).\nKnowledge of version control systems (Git).\nStrong problem-solving skills and eagerness to learn new technologies. \nPreferred qualifications\nExperience with containerization technologies like Docker.\nExperience with Azure AI foundry, Google Cloud Platform is a plus\nFamiliarity with CI/CD tools such as GitHub Actions, or AWS CodePipeline.\nPrevious coursework or projects related to DevOps, cloud computing, or machine learning.\nNice to have: AWS certifications or training (even in progress).\nOur Values in Action:\nEmbrace the unknown: Be prepared to tackle unprecedented challenges in applying AI to diverse business functions. \nPartner with purpose: Collaborate closely with employees across all levels to understand and meet their AI-driven needs. \nPassion for people: Focus on developing AI solutions that empower and uplift our workforce. \n Collaborate for success: Embrace teamwork, transparency, and integrity as we integrate AI into our corporate culture. \nUsing the “OCEAN” model which stands for Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism, we’re looking for the following personality traits:\nOpenness - The ability to take on new challenges and learn new things.\nConscientiousness - The ability to work independently and deliver high-quality work.\nExtraversion - The ability to communicate directly with customers and users, and to present your work clearly and effectively to different stakeholders as needed.\nAgreeableness - Be kind and thoughtful. We value people who are respectful of others and who are willing to jump in and help where and when needed.\nNeuroticism - Although we try and minimize stress levels, there will be deadlines to meet. Plans can change, so the ability to pivot and adapt to changing priorities will be important.\nThis internship offers a unique opportunity to work at the forefront of enterprise AI application. 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