Software Developer II, Full Stack - New

• Write complex SQL queries independently; optimize performance, apply appropriate indexing and query patterns by workload, and write queries that are readable and maintainable.
• Design and implement REST APIs and application services that are well-documented, versioned appropriately, and built to handle failure gracefully.
• Write comprehensive unit and integration tests for developed features; treat testing as part of development, not a separate activity, and design code with testability in mind from the start.
• Participate in code review as both reviewer and reviewee; apply feedback consistently, provide specific and actionable feedback to junior developers, and use review as a tool for shared code ownership.

Cloud and Infrastructure

• Independently design and operate serverless and containerized compute architectures on AWS using Lambda, ECS, EKS, and related services; make platform decisions with awareness of cost, performance, and operational complexity.
• Independently design and manage API Gateways and VPC configurations for production application workloads; understand networking fundamentals well enough to debug connectivity issues.
• Independently build and manage CI/CD pipelines using AWS CodeSuite or equivalent; design pipelines that include testing gates, deployment validation, and rollback capability.
• Configure comprehensive monitoring and alerting for production application systems; implement observability so failures are detected and triaged before they affect client outcomes.
• Independently containerize applications and manage Kubernetes workloads in production environments; apply sound practices for resource allocation, health checking, and workload scaling.

LLM and AI Integration

• Independently build LLM-powered application features; apply prompt engineering, manage model behavior and token budgets, and design AI interactions that are reliable and appropriate for production use.
• Integrate RAG pipelines and vector search components into application layers; work with data scientists to ensure retrieval quality meets application requirements.
• Leverage AI coding assistants to accelerate development, testing, and code review tasks; validate AI-generated code critically and apply it with the same engineering discipline as hand-written code.

Quality and Documentation

• Write and maintain technical documentation for APIs, application components, and architectural decisions; document at the level of detail that enables a teammate unfamiliar with your work to use, maintain, and extend it.
• Maintain high-quality code history; write commit messages, pull request descriptions, and changelogs that make the evolution of the codebase understandable.
• Participate in architecture discussions and contribute well-reasoned technical opinions grounded in both current requirements and long-term maintainability.

Collaboration and Mentorship

• Provide structured support to junior developers through hands-on coaching, code review, documentation, and pairing; help them develop the engineering habits and communication skills that will carry them toward independent contribution.
• Collaborate with data engineers and data scientists to integrate data pipelines and model outputs into application layers; understand the full system well enough to design application code that works with data and ML constraints.
• Partner with project managers to keep software delivery aligned with client expectations and contractual constraints; surface scope and timeline risks early with enough context for leadership to act.
• Participate in sprint planning, retrospectives, and estimation ceremonies; manage work in Jira with accuracy and discipline and communicate progress and blockers proactively.

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 3 to 5 years of hands-on software development experience, including production feature delivery with full lifecycle ownership.
• Proficiency in one or more backend languages (Python, Java, TypeScript/Node.js, or Go) and familiarity with modern front-end frameworks such as React.
• Hands-on experience with AWS services including Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, and S3 for production application workloads.
• Experience with CI/CD pipeline design and implementation, version control workflows, and containerization using Docker.
• Demonstrated ability to write clean, tested, production-grade application code with appropriate observability and error handling.
• Strong written and verbal communication skills; able to collaborate effectively across technical and analytical disciplines and document work clearly.

Preferred

• AWS Developer Associate or Solutions Architect Associate certification.
• Experience with infrastructure-as-code tools such as Terraform or CDK.
• Experience integrating LLM API endpoints, RAG pipelines, or AI service components into production applications.
• Familiarity with Kubernetes cluster management and production container orchestration.
• Background in consulting, professional services, or multi-client delivery environments.