Junior DevOps Engineer

Simplex 3D builds a SaaS platform combining photorealistic 3D, large geospatial datasets, and GenAI tools for real-estate and urban-planning professionals.We’re looking for a hands-on Junior DevOps Engineer with 1-2 years of experience to help maintain our cloud infrastructure and automate our development workflows.Working closely with our lead engineer and development team, you’ll contribute to production reliability while setting up AI development environments and agentic workflows for code review, QA, security, and optimization.What You’ll DoCloud infrastructure: Maintain AWS environments, Docker containers, networking, permissions, and configuration across development, staging, and production.CI/CD and automation: Build and maintain GitHub Actions pipelines, deployment automation, infrastructure as code, and developer tooling.AI development environments: Configure coding agents, dependencies, repository instructions, skills, hooks, and integrations through APIs or MCP.Agentic workflows: Integrate AI-assisted code review, browser and API testing, security checks, troubleshooting, and optimization into development workflows.Monitoring and operations: Improve logs, metrics, alerts, and dashboards; investigate deployment failures and production issues.Security and data: Support secrets management, access controls, vulnerability scanning, PostgreSQL/PostGIS operations, backups, and recovery.Efficiency: Improve developer setup, build times, and cloud and AI costs, with measurable results and clear documentation.Requirements1-2 years of experience in DevOps, cloud infrastructure, platform engineering, or a related role.Practical experience with AWS, Docker, Linux, Git, and CI/CD pipelines.Scripting ability in Bash or Python and familiarity with APIs, YAML, and JSON.Understanding of networking, monitoring, troubleshooting, cloud security, and secrets management.Hands-on experience configuring AI coding tools such as Claude Code, Cursor, or GitHub Copilot, including project context, environments, and permissions.Experience building an AI-assisted development workflow for reviews, testing, security, or similar tasks. Personal and open-source projects count.Ability to inspect generated code, validate results, and apply appropriate access restrictions and human review.Curious, methodical, independent, and comfortable collaborating with software engineers.AdvantagesTerraform, AWS CDK, or CloudFormation; familiarity with ECS, EC2, S3, RDS, and CloudWatch.MCP servers, agent skills, hooks, or multi-agent workflows.Playwright, automated testing, vulnerability scanning, or observability tools.PostgreSQL/PostGIS, Kubernetes, GIS, 3D processing, or GPU workloads.Built an AI workflow or automation you’re proud of? Tell us what it does and how you verified it works.