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Actalent - Plano, TX
posted 2 months ago
Full-time - Mid Level
Hybrid - Plano, TX
10,001+ employees
Administrative and Support Services
About the position
Actalent is seeking a Software Engineer to join their Labs team, focusing on solving complex problems and enhancing the vehicle customer experience through innovative technologies, including Machine Learning and NLP. The role involves supporting the 21 MM infotainment project and requires hands-on involvement in building and delivering cutting-edge software solutions.
Responsibilities
- Design and develop software to create cutting-edge solutions by writing maintainable, extensible, and tested code while complying with coding standards.
- Continuously integrate and deliver software components into a fully functional software system.
- Be hands-on and take ownership in following best practices in development and CI/CD methodologies.
- Troubleshoot, debug, and upgrade existing systems, conducting thorough root cause analysis to identify and resolve underlying issues.
- Serve in an on-call rotation that includes non-business hours to support production systems used by millions of vehicles.
- Facilitate end-to-end user testing with engineers and product owners.
- Work closely with product owners to shape and deliver features to customers.
Requirements
- 3+ years of software engineering experience.
- Experience writing clean, concise, tested, maintainable code using Go programming language.
- Experience in implementing low-latency microservices using gRPC protocol.
- Production experience in Public Cloud (AWS, Azure, or GCP), CI/CD, and containerization.
- Strong experience in test automation frameworks, optimizing performance and security enabling delivery of robust and maintainable architecture.
- Experience working with large scale, high availability, and highly distributed applications.
- Experience working with Observability tooling like DataDog.
- A Bachelor's Degree in Computer Science is preferred, but talent and experience are valued over a degree.
Nice-to-haves
- Experience working with Machine Learning, AI, automated speech recognition (ASR), or audio products.
- Experience with Kubernetes.
- Hands-on experience building and delivering IoT, Telematics, or Connected Car products or solutions.
- Experience working in an Agile software engineering environment.
