Details:
We are looking for a highly motivated, technology focused individual with a passion to work on a collaborative software delivery team to enable the creation and management of Platforms and APIs deployed to the Ford mobility ecosystem.
Key Responsibilities - Experience designing, developing, & operating distributed systems, microservices, & cloud-native applications using Java, Spring Boot, Kubernetes/EKS, Kafka, PostgreSQL, gRPC, REST, & AWS Cloud & DevOps
- Hands-on experience with CI/CD, TDD, ArgoCD, SonarQube, FOSSA, & GitHub, with a focus on secure, reliable software delivery.
- Commitment to writing clean, maintainable, well-tested code & validating API performance, scalability, & reliability.
- Experience implementing monitoring, alerting, observability, & performance management practices to maintain service health & meet service-level objectives.
- Ability to analyze complex challenges, evaluate tradeoffs, & make sound decisions using available data.
- Experience working in Agile teams & partnering with product managers, architects, & engineers to deliver production-ready solutions. Contribute to architecture & design discussions, promote engineering best practices, & mentor junior engineers.
- Customer-Centric Mindset: Passion for leveraging technology & continuous improvement to deliver value for customers & the business.
Job Requirements
Details:
Skills Required- Java - Java would be used to design and build RESTful and gRPC based microservices with Spring Boot. These Java applications would be packaged as Docker containers and deployed to Kubernetes/EKS clusters, with health-check endpoints and readiness/liveness probes to support reliable orchestration at scale. For real-time data processing, Java-based Kafka producers and consumers would handle streams of vehicle connectivity events.
- gRPC services would enable low-latency internal service-to-service communication alongside standard REST controllers for external-facing APIs. Security would be built into these services using OAuth2/JWT-based authentication and authorization. Throughout development, the engineer would follow TDD practices, plus integration tests to ensure clean, maintainable, well-tested code, and would instrument services with metrics and logging to support monitoring, alerting, and performance/load testing under high vehicle-connection volumes, given the mission-critical, 24x7 nature of the platform.
Skills Preferred- AWS - AWS would serve as the core cloud infrastructure platform for deploying, scaling, and operating the connected vehicle services. Elastic Kubernetes Service (EKS) would host containerized microservices, with AWS-native tooling supporting autoscaling, load balancing, and networking to ensure resilient operation under high vehicle-connection volumes.
- Services would leverage other AWS offerings, such as S3 for storage, RDS for managed PostgreSQL databases, and IAM for fine-grained access control, to build a secure, observable, and highly available platform.
- Infrastructure as code would be a core discipline, with Terraform used to provision all AWS resources, ensuring consistent, repeatable, and auditable environments.
- CI/CD pipelines would leverage Concourse to automate build, test, static/dependency scanning (SonarQube, FOSSA), and deployment, with ArgoCD handling GitOps-based continuous deployment to EKS clusters for automated, auditable, and rollback-capable releases.
- Given the mission-critical, 24x7 nature of the platform, AWS services would be architected with redundancy, monitoring, and alerting to minimize downtime and support rapid incident response for vehicle connectivity at scale.
Experience Required- 5+ years of progressive experience in cloud-based, software development.
- Proven experience in designing, deploying, and supporting cloud-based solutions in production environments.
- Strong understanding of API design and integration methods for seamless systems and data exchange.
- Solid knowledge of cloud security principles and the ability to implement secure software solutions.
- Demonstrated experience supporting mission-critical, always-on applications with high reliability and performance standards.
- Hands-on expertise with AWS platforms and cloud-native tools such as MSK, Tyk, DataDog, EKS/Kubernetes, and Terraform, as well as deployment pipelines like Cloud Build, ArgoCD and Tekton. Proficient in canary deployments and API-related technologies including JSON, REST, Swagger, and Postman.
- Experience supporting critical applications in an "always on" environment.
Education RequiredEducation Preferred**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
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Pay Range:
$ 66.00 - $ 95.00
