About The Role

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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