Full Stack Engineer Id85593

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

ABOUT THE ROLE

We are looking for a Full-Stack Engineer to develop backend services and APIs while modernizing application architecture.

WHAT YOU WILL DO

• Spend the majority of your time (approx. 70–80%) designing and implementing robust backend services using Java and Spring Boot.
• Build and maintain the supporting Angular frontend, ensuring a seamless connection between the UI and your backend logic.
• Lead the transition from traditional database-centric designs toward a domain-driven structure (DDD).
• Architect RESTful APIs that prioritize proper HTTP verbs and clean, scalable patterns over legacy RPC styles.
• Work within cross-functional squads to deliver high-quality features while maintaining the cohesive and proactive spirit of the team.

MUST HAVES

• 4+ years of experience with Java and Spring Boot, along with solid working knowledge of Angular.
• A strong grasp of Object-Oriented Design (OOD) and software design patterns.
• Deep experience building and consuming RESTful APIs, with a clear understanding of standard API protocols.
• Experience working with relational databases, specifically PostgreSQL and Oracle, and JPA/Hibernate.
• Strong SQL skills to navigate and optimize very complex SQL, along with robust transactional database experience and a thorough understanding of enterprise-level, high-transactional platforms. Lacking this specific database proficiency will be a direct reason for rejection.
• A passion for server-side logic, performance, and architecture.
• Upper-intermediate English level.

NICE TO HAVES

• Experience working with spec-driven development or related AI-Driven Software Development Life Cycle approaches.
• Previous experience in the Loyalty or Fintech sectors.
• Experience with cloud platforms (AWS or Azure) and containerization (Docker).
• Knowledge of CI/CD pipelines (Jenkins, GitLab CI).
• Experience refactoring legacy structures into modern, domain-driven architectures.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Requirements

Required Skills & Qualifications Experience: 4+ years in Cloud Engineering, with a focus on GCP. Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions, Cloud Run, Cloud Load Balancing). Kubernetes & Containers: Experience with GKE, Docker, GKE networking, and Helm. DevOps Tools: Hands‑on experience with Azure DevOps for CI/CD pipeline automation. Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources. Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation. Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards. Migration Track Record: Demonstrated hands‑on involvement in at least one real AWS-to-GCP migration — not just multi‑cloud familiarity — with the ability to explain what was migrated and what broke. AI-Assisted Engineering: Comfortable delivering production‑quality code with Claude Code, Cursor, GitHub Copilot, Codex, or comparable AI coding assistants.