Key Responsibilities
Architecture & Design
- Architect highly scalable, reliable, and secure cloud-native applications on GCP.
- Define end-to-end solution architectures involving microservices, event-driven patterns, API ecosystems, and data pipelines.
- Design MongoDB data models, indexing strategies, partitioning/sharding approaches, and performance optimization.
- Architect Kafka-based streaming solutions including topic design, consumer group strategy, message serialization, and delivery semantics.
- Ensure solutions follow best practices in scalability, resiliency, observability, security, and cost optimization.
- Create architecture documents, sequence diagrams, logical/physical data models, and integration patterns.
Hands-on Development
- Develop and review code in languages such as Python, Java, Node.js, or Go.
- Build microservices, APIs, data ingestion jobs, Kafka producers/consumers, and GCP-native applications.
- Perform POCs and build reusable frameworks, utilities, and accelerators.
- Support CI/CD pipeline development and automated test practices.
- Conduct code reviews, troubleshoot performance issues, and mentor developers.
Cloud Platform Expertise (GCP)
- Strong knowledge of compute services (GKE, Cloud Run, GCE), storage (GCS), networking (VPC, Cloud Load Balancing), and IAM.
- Experience with GCP data services such as BigQuery, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions.
- Optimize cloud workloads for performance and cost.
- Design and implement observability Cloud Logging, Monitoring, APM.
MongoDB Expertise
- Schema design for document databases aligned with access patterns and performance goals.
- Experience with MongoDB Atlas, replica sets, sharding, backup/restore, and cluster tuning.
- Strong understanding of query optimization, aggregations, and schema evolution.
Kafka Expertise
- Experience with Kafka clusters (self-managed or Confluent Cloud).
- Design and implement Kafka producers, consumers, stream processors.
- Experience with Schema Registry, Connectors (Kafka Connect), KStreams/KSQL is a plus.
- Tuning throughput, consumer lag handling, partition strategies, and ensuring high availability.
Cross-functional Collaboration
- Work with product managers, business analysts, developers, and QA engineers to translate requirements into technical solutions.
- Provide technical leadership, mentoring, and architectural governance.
- Drive architecture reviews, performance reviews, and security reviews.
DevOps & Security
- Experience in CI/CD tools (GitHub Actions, Jenkins, GitLab).
- Knowledge of Terraform/Infrastructure-as-Code on GCP.
- Implement secure coding practices, encryption, IAM, VPC design, secret management.
- Perform threat modeling and ensure compliance with organizational standards.
Required Skills & Qualifications
- 8+ years of experience in software engineering with at least 4 years in solution architecture.
- Strong hands-on expertise in GCP, MongoDB, and Kafka.
- Proficient in one or more programming languages (Java, Python, Go, Node.js).
- Understanding of microservices, distributed systems, caching, messaging, and API best practices.
- Experience in designing high-throughput, low-latency systems.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Excellent analytical, technical documentation, and communication skills
