{"id":4334124,"url":"https://alion.io/job/teamstation-devops-engineer","title":"DevOps Engineer","company":{"id":2889395,"name":"TeamStation","domain":"teamstation.dev","url":"https://alion.io/company/teamstation","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","BO","CL","CR","CU","DO","EC","SV","GT","HN","NI","PA","PY","PE","PR","UY","VE"],"hiring_countries_total":20,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker Compose","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"MS SQL","optional":false},{"name":"MySQL","optional":false},{"name":"Opsgenie","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"ZooKeeper","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"Docker","optional":true},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-07-29T00:00:00Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T10:08:53Z","board_verified":true,"closed_at":null,"days_open":109,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":109},"description":"At TeamStation AI, we are on a mission to bring together the brightest minds to solve tomorrow’s toughest technology challenges.\nOur work is about more than just AI-it’s about building the future through collaboration and innovation.\nWe believe that the key to solving the world’s most complex problems lies in aligning diverse talents and perspectives. Our AI-powered platform enables cutting-edge scientific and technical teams to work smarter, faster, and together. By joining us, you’ll help unlock new technological breakthroughs and drive innovation where it matters most.\nJoin the Mission at TeamStation AI!\nWhere do we come from?\nWe are seeking visionaries, innovators, and problem solvers who thrive in fast-paced, collaborative environments. If you’re passionate about AI, technology, and solving critical challenges, we want to hear from you. Come be part of a team where your ideas can drive the future.\nA TeamStation AI partner in the out-of-home advertising technology industry is looking for a DevOps Engineer to strengthen its cloud platform, improve delivery pipelines, and keep production systems reliable as the business grows.\nYou’ll work alongside engineering and product teams on infrastructure that supports real-world applications at scale. The goal is straightforward: automate what should be automated, improve what can be improved, and keep production surprises pleasantly rare.\nWhat You’ll Do\nMaintain and evolve the organization’s cloud infrastructure with a focus on long-term reliability, security, and scalability.\nImprove CI/CD pipelines and build automation that makes deployments faster, safer, and more predictable.\nCollaborate with developers, product owners, and cloud engineers to design services, estimate work, and deliver new platform capabilities.\nMonitor production environments, analyze operational data, identify risks, and recommend practical performance improvements.\nDesign DevOps solutions, reference architectures, effort estimates, and cost-conscious implementation plans.\nMaintain technical documentation, contribute to project planning, share knowledge, pair with teammates, and mentor junior engineers when needed.\nTech Stack & Tools\nCloud infrastructure:Amazon Web Services, including Amazon EC2, Amazon RDS, Amazon S3, Amazon EBS, Elastic Load Balancing, Amazon Route 53, AWS IAM, and Amazon Machine Images\nGitOps and delivery:Argo CD and CI/CD tooling\nContainers and orchestration:Docker Compose, Amazon ECS, and Kubernetes\nObservability and operations:Amazon CloudWatch, Grafana, Prometheus, Elastic Stack, and Opsgenie\nData and event platforms:Apache Kafka and Apache ZooKeeper\nDatabases:Microsoft SQL Server, PostgreSQL, MySQL, and Redis\nAI-assisted operations: Coding assistants, AI-supported observability, and automated remediation tooling\nWhat You Bring\nFour or more years of relevant experience working with AWS infrastructure and services.\nPractical experience with GitOps principles and Argo CD-based declarative deployments.\nStrong understanding of CI/CD pipelines, infrastructure automation, and production application maintenance.\nExperience with containerization or orchestration technologies such as Docker Compose, Amazon ECS, or Kubernetes.\nNetwork administration experience covering VPCs, subnets, route tables, gateways, and VPNs.\nExperience configuring and managing SQL and NoSQL databases.\nWorking knowledge of logging, monitoring, alerting, and observability platforms.\nExperience using AI-assisted development or operations tools, including coding assistants, AI-supported observability, or automated remediation.\nA bachelor’s degree in computer science, engineering, mathematics, or a related field-or equivalent practical experience.\nProfessional English communication skills, including the ability to explain technical information to clients and distributed teams.\nWhat’s in It for You\nCompetitive compensation.\nFully remote work from Latin America.\nOpportunities for professional development, mentorship, and continued technical learning.\nHands-on work with modern cloud infrastructure and production systems.\nCollaboration with experienced engineering and product professionals.\nMeaningful projects in advertising technology, where software and infrastructure connect digital intelligence with the physical world.\nReady to build infrastructure that scales without turning every deployment into a suspense thriller? 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