GCP Architect

Job Title: GCP Architect

Experience:

Location:

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Position Summary

Senior Solution Architect

GCP, MongoDB, and Kafka

Key Responsibilities

Architecture & Design

• Architect highly scalable, reliable, and secure cloud-native applications on Google Cloud Platform (GCP).
• Define end-to-end solution architectures including microservices, event-driven systems, API ecosystems, and data processing pipelines.
• Design MongoDB data models, indexing strategies, and sharding/partitioning approaches for optimized performance.
• Architect Kafka-based streaming solutions including topic hierarchy, consumer group strategy, message formats, and delivery semantics.
• Ensure all architectures follow best practices around scalability, availability, observability, security, and cost efficiency.
• Prepare architecture documents, sequence diagrams, integration patterns, and logical/physical data models.
  

Hands-on Development

• Write and review high-quality code in Python, Java, Node.js, or Go.
• Build microservices, APIs, ingestion pipelines, Kafka producers/consumers, and GCP-native services.
• Conduct POCs and develop reusable frameworks, utilities, and automation components.
• Contribute to CI/CD pipeline setup, automated testing, and DevSecOps best practices.
• Troubleshoot production issues, optimize performance, and mentor developers.
  

Cloud Platform Expertise (GCP)

• Strong understanding of GKE, Cloud Run, GCE, GCS, VPC, IAM, and Load Balancing.
• Hands-on experience with BigQuery, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions.
• Implement optimized cloud workloads with focus on performance and cost management.
• Set up observability frameworks including Cloud Logging, Monitoring, and APM.
  

MongoDB Expertise

• Expert in schema design aligned with application access patterns.
• Experience with MongoDB Atlas, replica sets, sharding, backup/restore, and performance tuning.
• Strong command over query patterns, aggregations, indexing, and schema evolution strategies.
  

Kafka Expertise

• Experience with Kafka clusters (self-managed or Confluent Cloud).
• Build Kafka producers, consumers, stream processors using KStreams/KSQL (nice to have).
• Expertise in Schema Registry, Kafka Connect, and tuning for throughput & low-latency.
• Manage consumer lags, topic partitioning, replication, and high availability setup.
  

Cross-functional Collaboration

• Work with product managers, analysts, developers, and QA teams to convert requirements into technical designs.
• Provide architectural governance, technical mentorship, and thought leadership.
• Drive architecture, performance, and security reviews across teams.
  

DevOps & Security

• Experience with CI/CD tools: GitHub Actions, Jenkins, GitLab.
• Knowledge of IaC: Terraform for provisioning GCP environments.
• Implement secure coding practices: IAM, encryption, VPC design, secrets management.
• Conduct threat modeling and ensure compliance with organizational standards.
  

Required Skills & Qualifications

• 8+ years of software engineering experience including 4+ years in solution architecture.
• Strong hands-on expertise in GCP, MongoDB, and Kafka.
• Proficiency in at least one modern programming language: Java, Python, Go, Node.js.
• Solid understanding of microservices, distributed systems, caching, messaging, and REST/API best practices.
• Experience designing high-throughput, low-latency cloud-native applications.
• Strong knowledge of Docker and Kubernetes.
• Excellent problem-solving, documentation, and communication skills.