Platform DevOps Engineer

PVcase is a company dedicated to advancing solar energy solutions through innovative software that streamlines project development. They are seeking a Platform DevOps Engineer to enhance their global infrastructure standards and support the PVcase Prospect SaaS application. The role involves managing AWS infrastructure, implementing architectural standards, and automating operational tasks using modern technologies.

Responsibilities:

• Direct the AWS infrastructure strategy for PVcase Prospect, ensuring the application meets rigorous availability, performance, and security benchmarks
• Collaborate with the Global Platform team to implement unified architectural standards, contributing to organization-wide IaC and security initiatives
• Architect and maintain resilient cloud environments using Terraform and AWS, prioritizing modularity and reuse
• Support the transition toward a self-service enablement model, providing product developers with the tools and guardrails necessary for autonomous deployments
• Manage and refine monitoring, logging, and alerting stacks (Grafana, ELK, Prometheus, Checkly) to ensure proactive incident detection
• Identify and implement opportunities to leverage agentic workflows and AI-assisted tooling to automate complex operational tasks and improve incident response times

Requirements:

• Extensive hands-on experience managing complex AWS ecosystems (including VPC, RDS, IAM, EKS, Route53, S3, EFS, Firebase)
• Proven proficiency with Terraform for infrastructure automation and Kubernetes/Docker for container orchestration
• Strong command of cloud networking (subnets, load balancing, routing) and DevSecOps principles (RBAC, encryption, secret management)
• A pragmatic approach to engineering, with a track record of delivering incremental improvements in high-growth SaaS environments
• Excellent communication skills, with the ability to act as a technical liaison between US-based product teams and our global infrastructure team
• Professional familiarity with, or a strong aptitude for, implementing AI-driven agentic workflows to optimize DevOps processes. This includes the use of LLMs and autonomous agents for task automation, documentation, and infrastructure maintenance
• Comfort utilizing AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to accelerate code generation and infrastructure troubleshooting
• A proactive interest in evaluating emerging technologies that reduce cognitive load and enhance developer velocity