Translate business and functional requirements into scalable technical solutions using AI
Define service boundaries, API contracts, integration patterns, and application architecture.
Conduct design and code reviews and establish engineering best practices.
Evaluate technical trade-offs around scalability, performance, resiliency, maintainability, and cost.
Provide technical direction to engineers and mentor junior and mid-level developers.
Drive technical discussions across dependent application and platform teams.
Java & Microservices AI Development
Design and develop production-grade applications using Java 17/21, Spring Boot, Spring Framework, and Spring Cloud.
Build and maintain RESTful APIs and event-driven services.
Implement microservice patterns including
API Gateway
Circuit Breaker
Retry/Timeout
Service Discovery
Distributed configuration
Event-driven architecture
Idempotency
Caching
Distributed tracing
Apply appropriate design patterns and SOLID principles.
Develop effective unit, integration, component, and contract tests using tools such as JUnit, Mockito, WireMock, and Testcontainers.
Middleware & Integration
Design integrations between enterprise applications using REST, JSON, XML, messaging, and event-driven patterns.
Develop middleware services that transform, route, validate, and orchestrate requests across multiple systems.
Work with technologies such as Kafka, Pub/Sub, JMS, API gateways, and service-to-service integrations.
Handle high-volume synchronous and asynchronous transaction flows.
Design appropriate error handling, retry, dead-letter, timeout, and recovery mechanisms.
Troubleshoot complex issues across multiple applications and integration layers.
GCP & Cloud-Native Engineering
Design and deploy services on Google Cloud Platform (GCP).
Hands-on experience with relevant GCP services such as
Google Kubernetes Engine (GKE)
Cloud Run
Pub/Sub
Cloud Storage
Cloud SQL
Secret Manager
IAM
Cloud Logging and Monitoring
Build containerized applications using Docker and Kubernetes.
Implement secure workload identity, secrets management, and IAM-based access control.
Design applications considering high availability, scalability, disaster recovery, and observability.
DevOps, CI/CD & Observability
Work with CI/CD pipelines using technologies such as GitHub Actions, Jenkins, GitLab CI, or equivalent.
Implement automated build, test, security scanning, and deployment pipelines.
Work with Infrastructure-as-Code solutions such as Terraform.
Establish monitoring and observability using technologies such as OpenTelemetry, Prometheus, Grafana, Splunk, or GCP Cloud Monitoring.
Diagnose production problems using logs, metrics, traces, thread dumps, heap analysis, and application performance data.
Engineering Quality & Security
Ensure applications meet enterprise security and coding standards.
Apply secure coding practices for APIs and microservices.
Implement authentication and authorization using technologies such as OAuth 2.0, OpenID Connect, JWT, and mTLS.
Identify performance bottlenecks and drive application optimization.
Ensure adequate automated test coverage and quality gates.
Participate in production incident analysis and root-cause analysis.
Experience
6+ years of software engineering experience, with substantial hands-on Java development.
4+ years working with Spring Boot and microservices architectures.
Strong experience designing and developing enterprise middleware/integration solutions.
Practical experience delivering applications on GCP or a comparable public-cloud platform, with hands-on GCP experience strongly preferred.
Experience with distributed, high-volume, highly available systems.
Prior experience functioning as a Technical Lead or Lead Engineer, including design/code reviews and mentoring.
Experience taking services from design through development, testing, deployment, and production support.
Preferred Qualifications
Experience modernizing monolithic or legacy middleware applications into cloud-native microservices.
Experience with API gateways and service mesh technologies such as Istio.
Knowledge of asynchronous/event-driven architectures using Kafka or GCP Pub/Sub.
Experience with performance engineering and JVM troubleshooting.
Familiarity with 12-factor application principles and cloud-native application design.
Experience working in Agile/Scrum engineering environments.
GCP certification such as Professional Cloud Developer or Professional Cloud Architect is an advantage.
Leadership Expectations
The Lead Software Engineer should remain strongly hands-on, rather than functioning only as a people or project lead. A reasonable expectation for the role is roughly 80% technical design/coding/review and 20% technical leadership, mentoring, cross-team coordination, and delivery ownership, depending on project phase.
The successful candidate should be able to
Own a complex service or integration end-to-end.
Break large requirements into implementable technical components.
Guide engineers through complex design and production issues.
Challenge designs constructively and propose practical alternatives.
Communicate architectural decisions clearly to both engineering and non-engineering stakeholders.
Drive technical issues to closure across multiple teams.
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.
Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.
