Cloud Engineer with API Development Experience
Cloud Engineer with API Development Experience required to design and implement cloud-native application architecture using GKE with Cloud SQL and Pub/Sub. Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. Develop or integrate AI/ML models and rule-based expert systems.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Title: GCP Developer with Kotlin, Java, Python and API Development Experience (only W2 Position โ No C2C Accepted)
Description: STG is a SEI CMMi Level 5 company with several Fortune 500 and State Government clients. STG has an opening forGCP Developer with Kotlin, Java, Python and API Development Experience.
Please note that this project assignment is with our own direct clients. We do not go through any vendors. STG only does business with direct end clients. This is expected to be a long-term position. STG will provide immigration and permanent residency sponsorship assistance to those candidates who need it.
Position Description:
Architect and optimize data access layers across heterogeneous storage systems โ including relational databases (PostgreSQL, Cloud SQL), columnar warehouses (BigQuery), in-memory caches (Redis), and wide-column stores (Bigtable) โ selecting the appropriate store for each access pattern Collaborate with data engineers and analysts to design stored procedures, views, and query patterns in analytical databases that meet strict latency and throughput SLAs for reporting endpoints Implement data aggregation, transformation, and enrichment logic โ to produce accurate, consistent reporting outputs Build and enforce data contracts and schema evolution strategies to ensure backward compatibility and stability across upstream producers and downstream API consumers Integrate backend services with cloud-native infrastructure (GCP, AWS, or Azure) including event-driven architectures, scheduled jobs, serverless functions, and container orchestration platforms (Kubernetes/GKE) Instrument services with observability tooling โ structured logging, distributed tracing, and metrics โ and participate in on-call rotations to maintain high availability and reliability targets (SLO/SLA) Apply security best practices including authorization scoping (e.g., segment- or fleet-scoped data access), secrets management, and data privacy controls in compliance with automotive and enterprise data regulations Partner with product, data science, and platform teams in an agile delivery model โ contributing to technical design reviews, code reviews, and architectural decisions for new capabilities on the telematics platform
- GCP โ Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub.
- Big Data โ Experience working with large-scale data processing frameworks such as Apache Spark, Dataflow, or BigQuery. For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics.
- Artificial Intelligence & Expert Systems โ Experience developing or integrating AI/ML models and rule-based expert systems. For example, building a classification model using Vertex AI to predict customer churn, or implementing a rule engine that automates underwriting decisions.
- API โ Experience designing, building, and consuming RESTful or gRPC APIs. For example, developing a versioned REST API with OAuth 2.0 authentication that serves as the integration layer between a mobile application and backend microservices.
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Skills Required:
Google Cloud Platform 1. Google Cloud Platform โ Familiarity with advanced GCP services beyond core compute and storage, such as Vertex AI, Dataflow, Cloud Composer (Airflow), and BigQuery ML. For example, using Cloud Composer to orchestrate scheduled data pipelines that feed into a BigQuery data warehouse.
Languages: Kotlin, Java, Python, or equivalent JVM/backend language Frameworks: Spring Boot, gRPC, REST API design Data: BigQuery, PostgreSQL, Redis, Bigtable, Kafka or Pub/Sub Infrastructure: GCP (or equivalent), Docker, Kubernetes, CI/CD pipelines Practices: TDD, MLOps-adjacent data pipeline patterns, database performance tuning, API versioning
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Education Required:
- Bachelor's degree or equivalent qualification in computer science, engineering or related disciplines.
GCP Developer with Kotlin, Java, Python and API Development Experience is based in Dearborn, MI. A great opportunity to experience the corporate environment leading personal career growth.
Resume Submittal Instructions: Interested/qualified candidates should email their word formatted resumes to Vasavi Konda โ vasavi.konda(.@)stgit.com and/or contact @(Two-Four-Eight) Seven- One-Two โ Six-Seven-Two-Five (@248.712.6725). In the subject line of the email please include: First and Last Name: GCP Developer with Kotlin, Java, Python and API Development Experience.
Interested in relocating to United State? Check out our comprehensive Relocation Jobs in United State page with detailed relocation packages and benefits.
For more information about STG, please visit us at www.stgit.com.
Sincerely,
Vasavi Konda| Recruiting Specialist
โOpportunities don't happen, you create them.โ
Systems Technology Group (STG)
3001 W. Big Beaver Road, Suite 500
Troy, Michigan 48084
Phone: @(Two-Four-Eight) Seven- One-Two โ Six-Seven-Two-Five: @248.712.6725(O)
Email: vasavi.konda(.@)stgit.com
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