Senior Backend Software Engineer

HTC Global Services, Inc.
Dearborn, MI, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Airflow Amazon Elastic Compute Cloud Data Analysis Big Data BigTable BigQuery Cloud Storage Continuous Integration Data Systems
+42 more
Data Warehousing Distributed Systems Expert Systems Data Flow Control Global Positioning Systems (GPS) Apache Hadoop Identity and Access Management Java Virtual Machine (JVM) Python (Programming Language) PostgreSQL Machine Learning Operational Data Store Redis Cloud Services Tensorflow Software Engineering SQL Databases Systems Integration Management of Software Versions Google Cloud Cloud Platform System Sql Optimization Pytorch Apache Spark Spring-boot Build Server Amazon Virtual Private Cloud (VPC) Backend Rate Limiting Kotlin Data Lakes Kubernetes Storage Technologies Information Technology Apache Kafka Graphql Api Design Restful APIs Grpc Data Pipelines Docker Programming Languages

Job description

  • 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 such as Pub/Sub and Kafka into data warehouses and operational data stores.
  • Design, deploy, and manage workloads on Google Cloud Platform (GCP), including Compute Engine, Cloud Storage, IAM, VPC networking, and Cloud Composer.
  • Configure security and access controls and troubleshoot production performance and cost issues within GCP environments.
  • Design and optimize data pipelines and storage architectures for large-scale, high-volume and high-velocity datasets.
  • Work with distributed computing, partitioning, and data lake/data warehouse patterns using technologies such as Spark, Hadoop, Kafka, or Dataflow.
  • Build, train, and deploy machine learning models or rule-based expert systems to support decision automation.
  • Design, build, secure, and document RESTful or GraphQL APIs, including authentication/authorization, versioning, rate limiting, and integrations with internal and third-party systems.
  • Write optimized SQL queries in BigQuery and manage datasets, partitioning, and clustering for performance and cost control.
  • Integrate BigQuery with BI tools or downstream applications for reporting and analytics.

Requirements

  • Bachelor’s degree.
  • 7+ years of IT experience and 5+ years of software development experience.
  • Advanced practical experience in at least one programming language or practical experience in two coding languages.
  • 3+ years of expert-level GCP experience, including designing, deploying, and managing cloud workloads.
  • 3+ years of expert-level Big Data experience involving large-scale, high-volume/high-velocity datasets.
  • 3+ years of expert-level API development experience, including RESTful or GraphQL APIs.
  • 2+ years of expert-level BigQuery experience, including SQL optimization, dataset management, partitioning, and clustering.
  • 1+ year of experience building, training, and deploying machine learning models or rule-based expert systems.
  • Experience with Kotlin, Java, Python, or an equivalent JVM/backend language.
  • Experience with backend frameworks and technologies such as Spring Boot, gRPC, and REST API design.
  • Experience with data technologies such as BigQuery, PostgreSQL, Redis, Bigtable, Kafka, or Pub/Sub.
  • Experience with GCP or an equivalent cloud platform, Docker, Kubernetes, and CI/CD pipelines. Preferred Qualifications

  • Broader Google Cloud Platform ecosystem knowledge, including technologies such as Pub/Sub, Cloud Functions, GKE/Kubernetes, Cloud Build/CI/CD pipelines, or cost-optimization/FinOps practices.
  • Experience with TensorFlow, PyTorch, or Vertex AI.

Benefits & conditions

  • Experience with TDD, MLOps-adjacent data pipeline patterns, database performance tuning, and API versioning.
  • Certification program experience. What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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