Software Engineer
Summary
Senior Software Engineer building cloud-native, AI-enabled Java/Spring Boot microservices on GCP, applying DevSecOps, observability, and AI-assisted development practices.
We are seeking an experienced Senior Software Engineer to join our engineering team and help build next-generation cloud-native and AI-enabled solutions. You will be responsible for designing, developing, and deploying scalable applications, leveraging modern architecture patterns, AI-assisted development tools, and DevSecOps practices.
This role combines hands-on software engineering, cloud-native development, AI-powered delivery, and operational excellence to create secure, resilient, and high-performing products.
Product Development & Architecture
- Collaborate with Product Managers and stakeholders to translate business requirements into technical solutions.
- Design and develop cloud-native applications, APIs, and microservices using Java and Spring Boot.
- Apply modern architecture patterns including Domain-Driven Design (DDD), Event-Driven Architecture, CQRS, and Hexagonal Architecture.
- Produce technical designs, API specifications, and architecture documentation.
AI-Augmented Software Engineering
- Leverage AI development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms to improve engineering productivity.
- Practice specification-driven development using API contracts, acceptance criteria, and automated testing.
- Review, validate, and maintain accountability for all AI-generated code and design recommendations.
- Contribute to reusable engineering standards, templates, and automation that enhance software delivery quality.
AI-Powered Product Features
- Design and develop AI-enabled capabilities using Vertex AI, Azure OpenAI, or similar platforms.
- Implement retrieval-augmented generation (RAG), intelligent search, document understanding, and agent-assisted workflows.
- Build model evaluation, monitoring, and testing frameworks to ensure reliable AI outcomes.
- Implement responsible AI controls, including privacy, security, and human oversight mechanisms.
Cloud Engineering & DevSecOps
- Build and deploy applications on Google Cloud Platform (GCP).
- Develop and maintain CI/CD pipelines using GitHub Actions, Cloud Build, or equivalent tools.
- Utilize Infrastructure as Code (Terraform) and container orchestration platforms such as Kubernetes.
- Apply security best practices throughout the software development lifecycle.
Reliability, Operations & Observability
- Monitor and support production systems using tools such as Dynatrace, Splunk, Prometheus, and Grafana.
- Troubleshoot application, platform, and infrastructure issues.
- Continuously improve performance, reliability, scalability, and operational efficiency.
- Support high availability, disaster recovery, and resilience requirements.
Required
- Bachelor's degree in Engineering, Computer Science, Information Technology, or related field.
- 8+ years of software engineering experience.
- Strong expertise in Java and Spring Boot microservices.
- Experience designing and developing RESTful APIs.
- Hands-on experience with containerization and Kubernetes.
- Experience with public cloud platforms, preferably Google Cloud Platform (GCP).
- Experience with SQL and NoSQL databases.
- Strong understanding of CI/CD pipelines and automated testing.
- Knowledge of Domain-Driven Design (DDD), Event-Driven Architecture, and modern application architecture patterns.
- Experience using AI-assisted software development tools such as GitHub Copilot, Cursor, Claude Code, or similar solutions.
Preferred
- Experience with Vertex AI, Azure OpenAI, or other LLM-based platforms.
- Knowledge of CQRS and Hexagonal Architecture.
- Experience with Terraform and Infrastructure as Code.
- Familiarity with DevSecOps tools including SonarQube, FOSSA, Cycode, and 42Crunch.
- Knowledge of AI governance, model evaluation, and responsible AI practices.
- Experience in financial services or other regulated industries.
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