Senior Solutions Architect

Senior Solutions Architect

We are looking for a Senior Solutions Architect with deep expertise in Java-based microservices architecture to lead resiliency reviews and architectural improvements across high-scale production services for a global banking client. This is a high-impact individual contributor role focused on identifying single points of failure, implementing fault-tolerant patterns (retry, timeout, circuit breaker, fallback), and aligning services with 12-factor app principles and cloud-native best practices.

You will collaborate with developers, DevOps, and SRE teams to embed resiliency into CI/CD pipelines, lead failure mode assessments, and contribute to enterprise-wide architecture decisions in a regulated, mission-critical environment.

Mode : Hybrid (3 days/week in office)

Client : US-based Multinational Bank

Notice Period : Immediate to 21 days

Key Responsibilities :

- Lead resiliency assessments and reviews of existing Java-based microservices and APIs across production systems.

- Identify architectural weaknesses and SPOFs; implement or guide solutions using timeouts, retries, circuit breakers, and fallback logic.

- Align services with cloud-native patterns and the 12-factor app methodology to ensure performance, scalability, and maintainability.

- Configure and optimize resilience libraries such as Resilience4j or Hystrix.

- Work with CI/CD teams to integrate resiliency into build pipelines, enabling regression testing and automated validation of fault tolerance.

- Participate in failure mode and impact analysis (FMEA) workshops and contribute to system hardening strategies.

- Collaborate with SRE and observability teams to monitor service health using logs, metrics, and tracing tools (e.g., Kibana, Grafana, Splunk).

- Contribute to reference architectures and best practices documentation related to resiliency and distributed system design.

- Assist in cloud deployment strategies (preferably Azure) and container orchestration using Docker and Kubernetes.

Technical Skills & Expertise :

Must-Have Skills :

- Java, Spring Boot, Spring Cloud : Expertise in developing, debugging, and deploying microservices using annotations, DI, Spring profiles, and configuration-based setups.

- Microservices Architecture : Strong grasp of service decomposition, contract-first API design, and inter-service resiliency strategies.

- Cloud Deployments (Azure Preferred) : Experience deploying to managed platforms (AKS, ECS, etc.) with exposure to cloud-native HA configurations, load balancing, and secrets management.

- REST API Development : Proficient in secure API design with versioning, validation, error handling, and OpenAPI/Swagger documentation.

- Resiliency Engineering : Hands-on experience configuring retry, timeout, circuit breaker, and fallback mechanisms using Resilience4j or Hystrix.

- Kafka / Event Messaging : Familiarity with producer/consumer patterns, retries, and dead-letter queues for asynchronous communication.

- Configuration Management : Experience tuning resilience features via including thread pool settings, bulkheads, and backoff strategies.

- Docker & Kubernetes : Able to containerize and deploy services using Dockerfiles and K8s YAML/Helm charts. Capable of debugging pod failures and managing probes.

- CI/CD Resiliency Integration : Worked with CI tools like Jenkins or GitHub Actions to enforce resilience gates and validations.

- Observability : Able to interpret logs and metrics through Kibana, Splunk, or Grafana. Familiar with correlation IDs and basic distributed tracing.

- Failure Mode Analysis / SPOF Detection : Participated in identifying failure points and mitigation strategies across service dependencies.

Nice-to-Have Skills :

- Graceful Degradation : Basic configuration of fallback behavior and degradation hierarchies in service implementations.

- Chaos Engineering Tools (e.g., Gremlin, Chaos Mesh) : Awareness of failure simulation methodologies and tooling, even if not

implemented hands-on.

- Service Mesh Concepts (Istio, Linkerd) : Understanding of traffic management, circuit breaking at the mesh layer, and service observability.

- CQRS / Event Sourcing : Conceptual understanding of command-query separation and event-driven persistence models.

- SAP S4/Hana API Integration : Awareness of architectural considerations when interfacing with SAP systems (not critical).

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