Highlights
POSITION IS HYBRID / 3 - 4 DAYS PER WEEK IN THE OFFICE*** Architect and optimize data access layers across heterogeneous storage systems — including relational databases (PostgreSQL, Cloud SQL), columnar warehouses (BigQuery), in-memory caches (Redis), and wide-column stores (Bigtable) — 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 — including time-series rollups, geo-spatial calculations, and unit/timezone conversions — 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 — structured logging, distributed tracing, and metrics — 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 — contributing to technical design reviews, code reviews, and architectural decisions for new capabilities on the telematics platform. 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.
Numbers & Facts
| Location | Dearborn, MI |
| Industry | Staffing/Employment Agencies |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | http://www.kyyba.com/ |
Description
Job Title: Back-end Software Development Engineering Senior Engineer
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Employees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They work at the intersection of distributed systems, data engineering, and API development — delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers. Design and develop scalable, high-performance backend services and APIs that process and expose telematics data — including GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry — at fleet scale Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems (e.g., Pub/Sub, Kafka) into data warehouses and operational stores
Skills Required:
GCP, Big Data, Artificial Intelligence & Expert Systems, API 1. GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub. 2. Big Data – 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. 3. Artificial Intelligence & Expert Systems – 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. 4. API – 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.
Skills Preferred:
Google Cloud Platform 1. Google Cloud Platform – 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.
Experience Required:
Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 7+ years in IT; 5+ years in development
Experience Preferred:
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
Education Required:
Bachelor's Degree
Education Preferred:
Certification Program
Additional Information:
***POSITION IS HYBRID / 3 - 4 DAYS PER WEEK IN THE OFFICE*** Architect and optimize data access layers across heterogeneous storage systems — including relational databases (PostgreSQL, Cloud SQL), columnar warehouses (BigQuery), in-memory caches (Redis), and wide-column stores (Bigtable) — 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 — including time-series rollups, geo-spatial calculations, and unit/timezone conversions — 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 — structured logging, distributed tracing, and metrics — 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 — contributing to technical design reviews, code reviews, and architectural decisions for new capabilities on the telematics platform
Location: (Dearborn, MI)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, ag e, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Employees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They work at the intersection of distributed systems, data engineering, and API development — delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers. Design and develop scalable, high-performance backend services and APIs that process and expose telematics data — including GPS, trip events, driver behavior, vehicle diagnostics, and sensor telemetry — at fleet scale Build and maintain real-time and batch data pipelines that ingest high-volume vehicle event streams from messaging systems (e.g., Pub/Sub, Kafka) into data warehouses and operational stores
Skills Required:
GCP, Big Data, Artificial Intelligence & Expert Systems, API 1. GCP – Experience deploying and managing services on Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, and Cloud Functions. For example, designing and implementing a cloud-native application architecture using GKE (Google Kubernetes Engine) with Cloud SQL and Pub/Sub. 2. Big Data – 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. 3. Artificial Intelligence & Expert Systems – 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. 4. API – 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.
Skills Preferred:
Google Cloud Platform 1. Google Cloud Platform – 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.
Experience Required:
Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. 7+ years in IT; 5+ years in development
Experience Preferred:
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
Education Required:
Bachelor's Degree
Education Preferred:
Certification Program
Additional Information:
***POSITION IS HYBRID / 3 - 4 DAYS PER WEEK IN THE OFFICE*** Architect and optimize data access layers across heterogeneous storage systems — including relational databases (PostgreSQL, Cloud SQL), columnar warehouses (BigQuery), in-memory caches (Redis), and wide-column stores (Bigtable) — 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 — including time-series rollups, geo-spatial calculations, and unit/timezone conversions — 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 — structured logging, distributed tracing, and metrics — 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 — contributing to technical design reviews, code reviews, and architectural decisions for new capabilities on the telematics platform
Location: (Dearborn, MI)
Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, ag e, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.”
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client
SELECT AWARDS
- An INC 5000 company for 10 years
- Corp! Michigan Economic Bright Spots
- Crain’s Detroit Business Top Staffing Service Companies in Detroit
- TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
- Best of MichBusiness winner in HR Wizards & Partnerships
- Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
- 101 Best & Brightest Companies to Work for in Michigan
About Company
Kyyba group of companies are privately held and specialize in staff augmentation, application software and project solutions. In operation for more than 15 years, we have earned an enviable track record and reputation within all the industries we serve. Our unique processes and maturity enables us to understand the needs of the business organizations and provide business solutions that match the real and compelling needs of our customers.
Headquartered in Michigan, Kyyba has multiple office locations and we serve local, regional and national client base consisting of Fortune 500 and middle market companies. Kyyba extends the above solutions and services to a broad spectrum of industry verticals ranging from automotive, insurance, technology, financial, transportation, government and so on.
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