{"id":178897,"url":"https://alion.io/job/penlink-devops-engineer","title":"DevOps Engineer","company":{"id":66367,"name":"Penlink","domain":"penlink.com","url":"https://alion.io/company/penlink","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Herzliya, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"CircleCI","optional":false},{"name":"CloudFormation","optional":false},{"name":"Configuration Management","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-08-30T10:24:34Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-17T21:49:30Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Description\nAbout us:\nPenlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide.\nAbout the Role:\n We are seeking a highly skilled and motivated DevOps Engineer to join our dynamic team. The successful candidate will play a critical role in maintaining, optimizing, and expanding our infrastructure. You will work closely with software developers, the deployment team, and other IT staff to manage code releases, automate workflows, and ensure the availability, reliability, and scalability of our systems.\nKey Responsibilities: \n Manage and optimize cloud infrastructure on Amazon Web Services (AWS), including provisioning, scaling, monitoring, and security.\nDeploy, manage, and troubleshoot Kubernetes (K8s) clusters and containerized workloads.\nAutomate infrastructure using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.\nDesign, implement, and manage Continuous Integration and Continuous Delivery (CI/CD) pipelines to support automated deployment and testing.\nDevelop and maintain automation scripts and tools using Python and Bash.\nAdminister, monitor, and troubleshoot Linux-based production environments, ensuring high availability and performance.\nCollaborate with development teams to improve system scalability, reliability, and operational efficiency.\nImplement and maintain security best practices across cloud infrastructure and CI/CD pipelines.\nMonitor system health, perform capacity planning, and proactively address performance issues.\nInvestigate and resolve production incidents while maintaining clear communication with stakeholders.\nStay current with emerging DevOps technologies and industry best practices.\nRequirements\n2+ years of experience in a DevOps, Site Reliability Engineering (SRE).\nHands-on experience with Amazon Web Services (AWS)\nHands-on experience with Kubernetes (K8S)\nExperience administering Linux\nProficiency in Python for automation, scripting, and operational tooling\nExperience building and maintaining CI/CD pipelines using Azure DevOps, Jenkins, GitLab CI, GitHub Actions, CircleCI, or AWS CodePipeline.\nExperience with Infrastructure as Code (AWS CloudFormation or Terraform).\nAdvantages:\nExperience with Docker and containerization technologies.\nStrong understanding of Git and modern 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