Dev Ops Engineer

We’re hiring! If you’re passionate about DevOps and eager to work at the intersection of machine learning and cutting-edge infrastructure, we’d love to hear from you.

We are Hirundo, a rapidly expanding startup at the forefront of Data-Centric AI Optimization. Supported by both local and international VCs, our team blends industry innovation with academic expertise. We offer a unique opportunity to work on cutting-edge AI solutions poised to revolutionize AI/ML practices.

As one of our earliest team members, you'll have the chance to lead and shape our R&D efforts, paving the way for future leadership roles within our dynamic environment. Join us in building transformative AI tools for tomorrow's challenges.

Join us as a Senior DevOps Engineer to design and manage secure, scalable deployments of our machine learning platforms across cloud and on-premises systems. This role demands expertise in Kubernetes, Infrastructure as Code (IaC), and web security.

• Deploy our applications via Kubernetes on GCP, Azure, AWS, Linode, and on-premises and configure cross-cloud networking.
• Ensure security, tenant isolation, and data protection.
• Design and critique scalable software architectures with a focus on scalability, reliability and efficiency.
• Use Pulumi for infrastructure management to optimize CPU-based and GPU-based workloads.
• Manage secure private internal networking via Twingate.
• Mentor team members and empower engineers to deliver new products.

Employment type: Full-time. Hybrid: 3 days in-office, 2 days remote.

Location: Hirundo is a 5-minute walk from the Binyamina train station.

• Expertise in Python and Bash.
• Proficiency with Docker and Kubernetes, with hands-on experience in at least one major provider (e.g., GCP GKE, Azure AKS, AWS EKS, Linode LKE, or RedHat OpenShift).
• Familiarity with Infrastructure as Code (IaC) tools, e.g., Terraform or Pulumi.
• Proficiency in Helm, cloud cost optimization, and scaling.
• Familiarity with Linux distros (e.g., Ubuntu, Alpine) and Windows for GPU workloads.
• Strong web security knowledge.
• Excellent documentation skills to facilitate team understanding, collaboration, and maintenance.
• Strong knowledge of cloud networking, including DNS, DNSSEC, load balancers, VPNs, firewalls, and web application firewalls (WAF).
• Experience with implementing security best practices including familiarity with OWASP recommendations and compliance with SOC-2 or similar.

• CI/CD with GitHub Actions.
• Experience with Zero Trust tools (e.g. Twingate) and serverless solutions.
• Familiarity with Prometheus and Grafana.
• Background in software engineering, quality assurance, or penetration testing.
• Familiarity with serverless/Function-as-a-Service (FaaS) solutions, including their benefits and trade-offs (e.g., GCP Cloud Run, Azure Functions, AWS Lambda).
• Experience with Prometheus metrics, PromQL queries and Grafana dashboards.

We offer a competitive salary, and as an early-stage startup, we provide a potentially lucrative options agreement. You’ll join a close-knit team of 8, including 3 co-founders and 5 employees, dedicated to making a significant impact in the machine learning industry.

Please send your CV to our CTO, Michael (Misha) Leybovich - [email protected]

Also feel free to reach out via LinkedIn/WhatsApp for any further inquiries.