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About Port
At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum.
We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents. By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability. As a product-led company, we believe in building world-class platforms that fundamentally shape how modern engineering organizations operate.
About Your Day-to Day
As a Technical Support Engineer, you will play a meaningful role in shaping how Port operates and scales. You'll help our users get the most out of Port - troubleshooting issues, advising on best practices, and directly influencing how we improve the product. Acting as a key link between our users and our engineering team, you'll help shape both customer experience and product direction through problem solving and collaboration. If you’re passionate about solving complex technical problems, thrive on collaboration, and want to contribute to the future of platform engineering, we want to hear from you.
Responsibilities
- Act as a Trusted Advisor: Support Port users as they integrate with technologies like Kubernetes, Terraform, and major Cloud Platforms (AWS, GCP, Azure).
- Resolve Issues End-to-End: Triage, investigate, and resolve high-level technical inquiries. You will own the follow-through, even when escalating to R&D.
- Collaborate Cross-Functionally: Work closely with R&D, Product, Sales Engineering, and Customer Success to deliver a seamless, technical-first support experience.
- Be the Voice of the Customer: Systematically surface trends, bugs, and usability pain points to the Engineering and Product teams.
- Contribute to the Ecosystem: Build and improve technical documentation, tutorials, and troubleshooting guides to empower our community.
- Continuous Learning: Stay at the forefront of the evolving DevOps and AI-Agent ecosystem, deepening your expertise in integrated tools and services.
- Maintain Excellence: Participate in a weekend on-call rotation (approximately once every 6 weeks) to ensure support for critical, high-priority issues.
Who you’ll work with
You’ll join a collaborative support team positioned at the intersection of Product, Engineering, and Customer Success. We value autonomy, technical rigor, and deep customer empathy. In this role, you won't just resolve issues, you’ll actively shape our product roadmap and refine our long-term success strategies.
- 5+ years in a Tier 3 technical support role, ideally in a SaaS or infrastructure-focused environment.
- Cloud Platforms: Familiarity with AWS, GCP, or Azure, including foundational services like EC2, IAM, and networking.
- Kubernetes: Solid understanding of container orchestration concepts and Kubernetes basics (pods, deployments, Helm charts, services, logs, troubleshooting).
- Scripting and Configuration: Ability to read and understand code written in languages such as Bash, Java, or Python, and interpret structured formats like JSON and YAML.
- Infrastructure as Code (IaC): Working knowledge of Terraform - understanding how infrastructure is defined, deployed, and managed.
- API Familiarity: Comfortable using REST APIs via tools like Postman or curl for basic testing and debugging.
- Monitoring & Logging: Exposure to observability tools such as Datadog, Dynatrace, New Relic, or similar (e.g., viewing logs, identifying performance issues).
- Ticketing Systems: Hands-on experience with platforms like Zendesk, Freshdesk, or Jira Service Management.
- Excellent communication skills in English, both written and verbal.
Advantages
- Experience supporting or working closely with DevOps or Platform Engineering teams.
- Familiarity with GitOps practices and CI/CD workflows (e.g., GitHub Actions, ArgoCD, or Flux)
