Senior Infrastructure Engineer

Prisma Photonics, a fast-growing startup, transforms infrastructure monitoring with optical fibers. We eliminate the need for extra sensors by offering sensor-free solutions to monitor electrical power grids and oil & gas pipelines across thousands of kilometers.

Our fiber-sensing technology, integrated with AI and machine learning, enables our customers to achieve environmental and renewable energy targets, ensuring smooth utility operations on their path to net-zero emissions.

We are rapidly growing, looking for the best minds and spirits to join us in our journey. We know our products are only as great as the individuals building the hardware and software and harnessing data for good causes!

Being a great team member means being eager to learn and grow, able to challenge others while accepting being challenged yourself, and working for the team and product with enthusiasm and passion.

We are looking to hire 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 in Prisma Photonics, 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.

Responsibilities:

• 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).
  
  

• Experience: 5+ years of hands-on experience in cloud infrastructure, DevOps and platform engineering in production environments.
• Cloud Platforms and IaC: 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.
• Containerization & Orchestration: Solid experience with Docker and Kubernetes.
• Monitoring & Logging: Hands-on experience with monitoring tools (Prometheus, Grafana) and logging systems (ELK, Splunk, or equivalent).
• Software Engineering: Proficient Software engineering, architecture, as well as scripting languages such as Python, Bash, or Go. Full control of version control systems such as Git.
• DevOps Tools: Strong experience with CI/CD pipelines and automation using Jenkins, CircleCI, GitHub Actions, GitLab CI, or similar.
• Networking: Strong understanding of cloud networking, VPNs, VPCs, DNS, and firewalls.
• Security Best Practices: Experience implementing cloud security best practices, including IAM, encryption, and key management.
• Startup Experience: Previous experience in a fast-paced startup environment, where adaptability and hands-on execution are key.
• Team Player: Strong communication skills and ability to work cross-functionally with different teams.
  
  

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