Senior Full Stack Engineer (Go + HTMX)

As a Senior Golang Developer, you will design, build, test, and maintain production applications using Golang, HTMX, GraphQL, MongoDB, and cloud technologies. You will combine strong backend engineering expertise with server-driven UI development to deliver scalable, performant, and maintainable solutions. You will work across the software development lifecycle, collaborating with designers, product owners, architects, and engineering peers while applying modern cloud, DevOps, and AI-assisted engineering practices to accelerate delivery and improve software quality.
Your Impact
Design and build scalable backend services and APIs using Golang, including REST and GraphQL APIs, queries, mutations, and resolvers.
Implement efficient data models, schemas, and queries using MongoDB, with attention to performance, scalability, and maintainability.
Build dynamic, server-rendered user interfaces using HTMX and Templ, leveraging partial-page updates for responsive experiences with minimal JavaScript.
Collaborate with designers and engineering teams to deliver responsive and accessible interfaces using Tailwind CSS and Alpine.js.
Apply unit and integration testing, code reviews, debugging, CI/CD, and engineering best practices throughout the development lifecycle.
Deploy and support applications in cloud environments, troubleshooting issues across development and production.
Apply AI-assisted development practices across coding, testing, code review, documentation, troubleshooting, and engineering productivity.
Qualifications
Skills & Experience
6+ years of software development experience, with strong hands-on expertise in Golang.
Hands-on experience designing and developing REST and GraphQL APIs, including queries, resolvers, and schema design.
Proficiency with MongoDB, including schema design, querying, and performance optimization.
Experience building server-driven UIs with HTMX, with familiarity with Templ, Alpine.js, and Tailwind CSS.
Must have hands-on experience with cloud providers such as Azure, AWS, or GCP, with Microsoft Azure strongly preferred, including deploying and supporting cloud-based applications.
Experience with CI/CD pipelines, Docker, automated testing, code reviews, debugging, and modern software engineering practices.
Knowledge of AI-Assisted Development Lifecycle (AIDLC) practices, including the use of AI-powered coding assistants, automated testing, code review, documentation generation, and productivity tools.
Understanding of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI governance, and responsible AI principles.
Experience integrating AI capabilities into enterprise applications through APIs and cloud-native AI services.
Ability to evaluate and adopt emerging AI technologies to accelerate software delivery and improve quality.
Strong problem-solving, communication, and collaboration skills, with the ability to work effectively within Agile, cross-functional product teams.
Set Yourself Apart With
Hands-on experience with AI-assisted software development tools and workflows, such as GitHub Copilot, Claude, ChatGPT, or comparable AI-enabled engineering tools.
Deeper experience applying the AI Development Lifecycle (AIDLC), including responsible AI, prompt engineering, model integration, testing, monitoring, and governance.
Experience building or integrating AI-powered applications using LLMs, Retrieval-Augmented Generation (RAG), and agentic AI patterns.
Experience with distributed systems and event-driven architectures.
Hands-on experience optimizing Go applications for latency, throughput, scalability, and resilience.
Familiarity with modern DevOps and observability practices in production cloud environment

Work arrangement
Yes