Senior Infrastructure Engineer

Tel Aviv - Israel
Description:

Prisma Photonics, a fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors.

Our Hyper-Scan Fiber-Sensing™ technology, combined with advanced machine learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions.

Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), Prisma Photonics is led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors.

We are seeking a talented, self-driven and passionate Senior Infrastructure Engineer to build and maintain the cloud infrastructure for our highly available SaaS application as well as our machine learning and data engineering stack.

As a Senior Infrastructure Engineer, you will be responsible for designing, implementing, and maintaining the cloud infrastructure and DevOps processes that power our products and internal tooling. You will work closely with all data and development teams and lead the company’s security and compliance vectors. You will ensure a highly reliable, scalable, and secure infrastructure that supports our rapid growth and product innovation, while maintaining observability and cost-effectiveness of our cloud resources and data.

What You’ll Do

  • Cloud Infrastructure Management: Architect, deploy, and manage our cloud infrastructure (AWS), ensuring high availability, scalability, and security.
  • Software Engineering: Be a top notch SW engineer, harnessing your coding and architectural skills, as well as researching skills, for our infra stack.
  • Infrastructure as Code (IaC): Define and maintain infrastructure using tools like Terraform, CloudFormation, or Pulumi to manage resources efficiently and reproducibly.
  • Monitoring & Incident Management: Build and manage monitoring and alerting systems to ensure uptime, and respond to incidents with root cause analysis and remediation.
  • DevOps & Automation: Implement and maintain CI/CD pipelines to streamline development workflows and automate deployment processes across development, staging, and production environments, and across different parts of our solution. While our development teams are expected to write and maintain their own CI, you will act as a supervisor and professional authority, and maintain cross team and complex automation.
  • Collaboration and technical leadership: Partner with software engineers, data engineers, and machine learning teams to support their infrastructure needs and guide the evolution of our infrastructure team.
  • Cost Optimization: Monitor cloud spend and optimize resources to ensure cost-effective infrastructure without sacrificing performance or security.
  • Security & Compliance: Implement security best practices, including access control, network security, monitoring and ensuring the infrastructure is compliant with relevant industry standards (e.g., SOC2, GDPR).
Requirements:

What You Bring

  • 5+ years of hands-on experience in cloud infrastructure, DevOps and platform engineering in production environments.
  • Expertise in managing cloud infrastructure on at least one of the major providers: AWS, GCP, Azure. Proficient in Infrastructure as Code tools such as Terraform, CloudFormation, or Pulumi.
  • Solid experience with Docker and Kubernetes.
  • Monitoring & Logging: Hands-on experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Splunk, or equivalent).
  • Proficient Software engineering, architecture, as well as scripting languages such as Python, Bash, or Go. Full control of version control systems such as Git.
  • Strong experience with CI/CD pipelines and automation using Jenkins, CircleCI, GitHub Actions, GitLab CI, or similar.
  • Strong understanding of cloud networking, VPNs, VPCs, DNS, and firewalls.
  • Experience implementing cloud security best practices, including IAM, encryption, and key management.
  • Previous experience in a fast-paced startup environment, where adaptability and hands-on execution are key.
  • Strong communication skills and ability to work cross-functionally with different teams.

Advantages:

  • Experience supporting machine learning pipelines and deploying ML models to production environments.
  • Familiarity with data engineering tools like Apache Spark, Airflow, or similar ETL tools.
  • Experience with serverless technologies such as AWS Lambda, GCP Functions, or Azure Functions.
  • AWS Certified Security – Specialty, or equivalent certifications in cloud security.
  • Experience and knowledge with regulatory compliance procedures (e.g., SOC2, GDPR, HIPAA) in cloud environments and on-prem systems. 

 

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