GCP Architect

Job Title: GCP Architect (Data Migration Project from GCS to MongoDB)

Job Type: Full-Time

Experience: 10 Years or Above

Shift Timings: 2 - 11 PM

Notice Period: 30 Days

Location: Pune, Hyderabad, Chennai, Bangalore

Work Mode: Hybrid

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.