{"id":2493987,"url":"https://alion.io/job/kaltura-devops-engineer","title":"DevOps Engineer","company":{"id":174527,"name":"Kaltura","domain":"kaltura.com","url":"https://alion.io/company/kaltura","size_band":"501-1000","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":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bnei Brak, 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":"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":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Redis","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-13T20:25:09Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T04:45:17Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Description\nThis is us\nKaltura’s (NYSE:KLTR) mission is to power any video experience for any organization - live, on-demand, or real-time. We not only want to make using video simpler, but we also want to better people’s lives through video. Founded in 2006, Kaltura is now a global leader in the video market with millions of people using our products daily to teach, learn, watch, connect, and collaborate. Among our customers, you’ll find more than 1000 global, well-known organizations.\n15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and we’re still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.\nKaltura has a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each Kalturian, you’ll never run out of room to grow and evolve.\nIf you don't meet 100% of the requirements below - that's okay, nobody's perfect! We believe in hiring people, not just a list of skills. We encourage you to apply if you think this is a role that would make you excited about coming to work every day.\nRequirements\nThe role\nYou will join a global DevOps & Platform team responsible for designing and operating distributed production systems at very high scale, with a relentless focus on quality, robustness, and reliability. We provide Kaltura with the tools it needs to push forward product innovation and scale in the age of AI.\nYou will own projects end-to-end, drive new implementations forward, and act as a technical partner across the organization. You'll work closely with the Platform teams, Development teams, Architects, AI/ML Researchers, and Product, translating complex needs into resilient systems that scale.\nWe're looking for someone who takes ownership, who can see a problem or a need, shape the solution, and carry it all the way to production.\nThe day-to-day\nLead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task\nDesign, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness\nWork across the full platform stack, Kubernetes, Docker, and Helm, CI/CD and automation, and the data, caching, and messaging layers (Mongo, MySQL, Postgres, Redis, Kafka, and more)\nModernize and consolidate different stacks and architectures into Kaltura's single, coherent platform\nBuild and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them\nDrive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers\nCollaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality\nIdeally, we’re looking for:\n2+ years of hands-on experience in DevOps / Platform / SRE roles, operating distributed production systems at high scale, with a proven ability to lead projects independently and drive new implementations end-to-end\nDeep hands-on expertise with AWS in production (EKS, ECS, S3, EC2, CloudFront, IAM, Bedrock, MSK, Lambda, Cloudwatch) including Infrastructure as Code (Terraform or similar)\nDeep hands-on expertise with Kubernetes and Helm, including a strong understanding of how Kubernetes internals work and how to operate them in production, alongside Docker / containerized systems\nStrong knowledge of networking and operating systems (TCP/IP, DNS, load balancing, Linux internals)\nStrong experience with CI/CD and automation (GitHub Actions), monitoring and observability (metrics, tracing, logging, tools like Prometheus / Grafana)\nHigh proficiency with current AI coding tools, including a deep understanding of how they work and how to apply them to drive real productivity.\nThese would also be nice:\nExperience integrating or migrating systems between different stacks or organizations\nExperience driving cross-team technical initiatives\nExperience working with GPUs for inference and serving AI/ML workloads\nThe perks:\nHybrid, flexible work environment \nExtended private health (including mental) insurance \nPersonal and professional development programs \nOccasional Cross company long 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