hotskills.tech

About Job

We are looking for an early-career Software Engineer who is curious and collaborative with a penchant for learning and excellence. The position emphasizes strong software craftsmanship, AI-assisted development, continuous improvement, and operational excellence. The role would expect to apply the principles of secure software engineering to the design, development, maintenance, testing and evaluation of software and cloud infrastructure. You build software collaboratively with AI tools and agents. You ship working code every sprint, learn fast, and treat AI-augmented development as a core skill - not an add-on. Who You Are: AI-Augmented Mindset: Demonstrated use of AI coding assistants (GitHub Copilot, Claude, Cursor, etc.) in personal, academic, or professional projects. You don't just use autocomplete - you provide context, iterate on outputs, and evaluate quality. Spec Driven Development (SDD) experience is a plus. Demonstrated experience applying object-oriented programming (OOP) principles, with a preference for Java.Problem Solving: Analytical thinking with attention to detail and a methodical approach to debugging and troubleshooting. Experience with an object oriented program language. Full Stack Curiosity: Desire to work across the entire technology stack rather than specializing in a single layer. Exposure to cloud platforms such as AWS or Azure. Understanding of RESTful API design and development. Basic understanding of observability concepts (e.g., logging, monitoring, and tracing). Familiarity with infrastructure as code (Terraform/CDK) and containers (Docker). Knowledge of database technologies. Bachelor’s degree in a related discipline. The right candidate could also have a different combination, such as 4 years’ experience in a related field. Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future. What You'll Do: Collaborate with AI agents and tools to build, test, and deploy software across the SDLC - providing proper contextual inputs to improve AI understanding and output quality. Work on integrating observability tools to monitor and improve system performance. Contribute to prompt engineering experimentation and share tool usage insights with the team. Collaborate on system tests to provide coverage for current systems and new changes. Evaluate and respond to bug submissions. Apply secure coding practices consistently across all development work. Communicate changes, challenges, and progress transparently to the team. Participate in code reviews - both giving and receiving feedback. job perk: Posted At: 3 days ago, job perk: Schedule Type: Full-time