Job Title

The company develops an internal developer platform (IDP) designed to streamline the software development lifecycle and DevOps processes. The platform provides a single source of truth for all infrastructure assets and operations within an organization's tech stack. This allows developers to perform self-service actions, such as provisioning development environments and managing microservices. The company is seeking a Customer Success Engineer to bridge the gap between technical implementation and customer interaction. This is a hybrid role that combines strong Python engineering skills with the ability to communicate effectively with clients during integration workshops and deployment sessions. Responsibilities Develop and maintain custom Python scripts and integrations that interact with Port’s APIs, tailored to specific customer needs. Collaborate directly with customers during deployment workshops and implementation phases to ensure smooth onboarding and successful usage of the Port platform. Support Ocean integrations and occasionally assist with more complex internal tools as required. Perform data processing and transformation, including ingesting, analyzing, and exporting data from systems like GitHub, BigQuery, or JFrog. Translate customer requirements into technical solutions, helping bridge the gap between customer needs and platform capabilities. Work cross-functionally with integration and support teams to ensure consistent, reliable customer experiences. Contribute to technical documentation, internal tooling improvements, and feedback loops for product refinement. Technical Requirements Strong Backend Development in Python: Proven experience building backend services with Python, particularly in developing scalable, performant, and maintainable applications in high-throughput environments. API & Webhook Integration: Deep understanding of RESTful API design, including authentication mechanisms (OAuth, API keys), rate limiting, webhook event handling, and robust error handling. Cloud Platform Experience: Hands-on experience with AWS, GCP, and Azure, including working with their APIs and infrastructure services. DevOps Toolchain Familiarity: Proficiency in tools such as Kubernetes, ArgoCD, and Docker for container orchestration, CI/CD workflows, and deployment automation. Data Transformation & Processing: Experience using tools like JQ or similar for transforming JSON and other structured data formats as part of integration pipelines. Database Proficiency: Solid knowledge of PostgreSQL and MongoDB, including schema design, data modeling, and performance optimization. Testing & Code Quality: Comfortable with test-driven development and familiar with frameworks for unit and integration testing to ensure system stability and integration reliability. CI/CD & Version Control: Proficient in Git, GitHub, and CI/CD automation tools, with a clear understanding of branching strategies and deployment workflows. Documentation Implementation: Ability to read and translate complex third-party API documentation into working, production-grade integrations. Requirements Strong proficiency in Python, with the ability to build scripts and integrations that interact with APIs and process data efficiently. Experience working with RESTful APIs, including consuming and manipulating API responses. Comfortable with data manipulation and transformation, particularly for tasks like ingesting external data sources and preparing it for analysis or integration. Ability to build and maintain automation scripts and occasionally more complex tools depending on customer needs. Solid understanding of version control systems, particularly Git. Experience working in customer-facing engineering or with developer tools. Knowledge of building or supporting Ocean integrations is an advantage.