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Software Engineer III — Full?Stack, Angular/AWS, .Net/C#, AI tools
Role Summary
We are seeking a contract contingent Software Engineer (level III or IV) to join a high?performing IT team that is transforming operations from reactive crisis management to a proactive, resilient, always?on model. You will build full?stack solutions for an in-house complex custom document management control system for multiple business units that will include AI features.
This role is designed for engineers who thrive on autonomy and ownership. You will pick up work with minimal supervision, drive tasks through to completion, and collaborate closely with a team of high performers to deliver measurable impact on reliability and speed of response.
Key Responsibilities
- Design & build full?stack solutions that integrate Angular front ends with Python services and APIs, running on AWS cloud infrastructure.
- Operational intelligence & AI: implement ML/LLM?powered capabilities (Chat Bot that includes AI integration) and integrate them into production workflows.
- Quality & resilience: deliver production?grade code with strong testing practices; build in reliability, security, and observability from the start.
- Agile execution: independently break down work, manage your backlog items, and provide clear progress updates; participate in code reviews and technical design discussions.
- Support and Enhancements: Design, build and help troubleshooting.
- Documentation & knowledge sharing: produce clear technical documentation and contribute to a culture of continuous improvement.
- Scope by level:
- Software Engineer III: Own end?to?end delivery of complex features; contribute architectural input within a product area; work with minimal supervision.
- Software Engineer IV: Lead design for multi?component systems; define patterns and guardrails; mentor peers; coordinate across teams to deliver cross?cutting initiatives.
Required Qualifications
- Full?stack engineering experience, including modern front?end development with Angular, and back?end services with .Net/C#.
- AWS infrastructure and cloud services experience (designing, deploying, and operating workloads in the cloud).
- Proven ability to work independently, proactively pick up work, and carry tasks through to completion with high code quality.
- Demonstrated success collaborating within an agile environment and communicating clearly with cross?functional partners.
- Strong fundamentals in software engineering (clean code, testing, performance, security?minded development).
Preferred Qualifications
- Experience with ElasticSearch or Solr
- Experience applying AI tools to building software.
- Depth in observability practices (logging, metrics, tracing) and building resilient, secure, and scalable cloud services.
- Infrastructure as Code with Terraform: Experience defining and managing AWS infrastructure using Terraform (modules, workspaces, remote state, policy-as-code), with a focus on repeatable, secure, and observable deployments.
- Experience shaping technical designs and mentoring engineers (especially relevant at level IV).
- CAD Viewing software experience, nice to have.
- Git Hub, Copilot and AI tools proficiency.
Working Style & Team Culture
- High ownership, low ego: We bias toward action, value clarity, and hold a high bar for quality.
- Autonomy with accountability: Engineers are trusted to operate with minimal supervision and deliver outcomes.
- Collaborative excellence: We move quickly, give direct feedback, and support each other to do our best work.
- Continuous improvement: We iterate, measure, and refine to improve reliability and user experience.
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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.