3 days ago
USA (city not specified)Senior
Responsibilities
- Own hands-on technical execution and complex deliverables for assigned strategic enterprise customers.
- Develop custom policies, plugins, connectors, integrations, deployment templates, and reusable technical assets.
- Build deployment automation using Kubernetes, Helm, Terraform, and CI/CD pipelines.
- Troubleshoot API, application, networking, performance, and infrastructure issues across customer environments.
- Review customer code, configurations, and pull requests for production readiness.
- Validate upgrades and perform regression testing against customer environments.
- Partner with customer developers, architects, Implementation Managers, TAMs, Support, Product, and Engineering teams.
- Accelerate customer deployments, production adoption, platform expansion, retention, and customer value.
- Provide product feedback and use AI-assisted development tools to improve engineering, testing, and troubleshooting efficiency.
Requirements
- 7+ years of professional software engineering, platform engineering, or equivalent hands-on technical experience.
- Strong Java development skills and experience writing production-quality code.
- Deep understanding of REST APIs, API gateways, microservices, and distributed systems.
- Hands-on experience with Kubernetes, Docker, Helm, Terraform, and CI/CD.
- Experience building custom integrations, plugins, and deployment automation.
- Strong troubleshooting skills across application, networking, and infrastructure layers.
- Experience with Git-based development workflows, code reviews, and automated testing.
- Familiarity with AWS, Azure, or Google Cloud.
- Experience working directly with enterprise customers and technical stakeholders.
- Ability to independently own complex technical deliverables from requirements through production.
- Preferred experience with Gravitee, Kong, Apigee, MuleSoft, Kafka, event-driven architectures, gRPC, protocol transformations, OAuth2, OpenID Connect, enterprise security architectures, AI gateways, LLMs, Model Context Protocol, agentic AI, Python, JavaScript, TypeScript, front-end development, enterprise migrations, regulated environments, and AI coding assistants.
Benefits
- Competitive medical coverage.
- Pension or 401k program options.
- Stock options.
- 25 days of holiday plus in-country national holidays.
- Three mental health days and a wellness allowance.
- Birthday off.
- Professional development budget.
- Hybrid work culture with regional hubs.
- Quarterly team events and an annual offsite.
- Global company culture with growth opportunities.
Tech Stack
Categories
Forward Deployed
