_{25th March, 2026}

Platform Engineer #1052676
Job Description:

• A platform software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale.
• Generally, platform engineers fall into two categories: backend engineers, who design and implement microservices with robust APIs, and full-stack engineers, who deliver native UI/UX solutions, and ability to develop frameworks and service to enable an enterprise data platform.
• With a solid understanding of the SDLC and hands-on experience in Git and CI/CD, platform engineers can independently design, code, test, and release features to production efficiently.
• Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
• Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
• Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
• Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
• GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
• Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP's native row- and column-level security features.
• Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
• Collaboration and Best Practices: Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
• Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.

 
Skills Required:

• Java
• Python
• GCP
• Big Query
• NoSQL
• React

 
Skills Preferred:

• Apache
• KAFKA

 
Experience Required:

• 5+ years of experience in software development (Java/Python)
• 3+ years of experience with Google Cloud Platform (BigQuery, Dataflow, Dataproc)
• 3+ years of experience building microservices and REST APIs
• 2+ years of experience with data pipelines and streaming technologies (Apache Beam, Kafka)
• Experience with full-stack development (React/Node.js or similar)
• Hands-on experience with CI/CD, Terraform, and cloud deployments
• Strong experience with relational and NoSQL databases

 
Experience Preferred:

• Proficiency in Java or Python, along with Angular or other JavaScript frameworks, with experience designing and deploying cloud-based data pipelines and microservices using GCP tools such as BigQuery, Dataflow, and Dataproc.
• Ability to leverage modern data platform technologies (e.g., Apache Beam, Kafka) to build platform features and design/orchestrate services that enable scalable data platform capabilities.
• Strong understanding of Service-Oriented Architecture (SOA) and microservices, with hands-on experience developing scalable services using Java Spring Boot, Python, Angular, and GCP technologies.
• Full-stack development experience, with knowledge of both front-end and back-end technologies (e.g., React, Node.js) to support data access and visualization layers.
• Experience designing and developing RESTful APIs for seamless integration across platform services.
• Ability to implement robust unit and functional testing to ensure high code quality and test coverage.
• Database experience with relational (PostgreSQL, MySQL), NoSQL, and columnar databases such as BigQuery.
• Understanding of data governance and security practices, including RBAC, encryption, and data masking in cloud environments.
• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools such as Terraform, and automation frameworks.
• Experience managing code using GitHub, with strong troubleshooting and debugging skills.
• Adherence to SDLC best practices, with the ability to independently manage design, development, testing, and production releases.
• Strong problem-solving and analytical skills, with the ability to resolve complex data platform and microservices issues.

 
Education Required:

• Bachelor's Degree

 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.
 

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