Mid-Senior DevOps - Bnei Brak (Hybrid)
Level
Middle
Department
DevOps
Type
Full Time
Project
NDA
Locations:
Israel
Hybrid
Job Details
Posted on:
August 27, 2026
Job ID:
tcHFYZ
About the Company
Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
About the Project
You will join a global DevOps & Platform team responsible for designing and operating distributed production systems at very large 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. You 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. We'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.
Specialization
Headquarters
Years on the market
Team size and structure
Current technology stack
Required skills:
Must Have
- 3+ years of hands-on experience in DevOps / Platform / SRE roles, operating distributed production systems at large scale, with a proven ability to lead projects independently and drive new implementations end-to-end
- Deep hands-on expertise with AWS in production (EKS, ECS, S3, EC2, CloudFront, IAM, Bedrock, MSK, Lambda, CloudWatch) including Infrastructure as Code (Terraform or similar)
- Deep 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
- Strong knowledge of networking and operating systems (TCP/IP, DNS, load balancing, Linux internals)
- Strong experience with CI/CD and automation (GitHub Actions), monitoring and observability (metrics, tracing, logging, tools like Prometheus / Grafana)
- High proficiency with current AI coding tools, including a deep understanding of how they work and how to apply them to drive real productivity.
Nice to Have
- Experience integrating or migrating systems between different stacks or organizations
- Experience driving cross-team technical initiatives
- Experience working with GPUs for inference and serving AI/ML workloads
Scope of work:
- Lead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task
- Design, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness
- Work 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)
- Modernize and consolidate different stacks and architectures into Kaltura's single, coherent platform
- Build and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them
- Drive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers
- Collaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality
