Senior Software Engineer – Platform & Services
Job Requirements
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
About The Role
We are seeking a highly capable Senior Software Engineer – Platform & Services to design, build, and optimize data‑as‑a‑service capabilities within our Digital Manufacturing & Supply Chain Platform.
In this role, you will focus on delivering secure, scalable, and high‑performance APIs and microservices that expose curated data from enterprise systems, IoT devices, and analytical models to various consumers—including applications, dashboards, and simulation environments.
You will work closely with Data Engineering and platform teams to transform raw and processed datasets into reliable, observable, and production‑ready services, enabling real‑time insights, predictive analytics, and digital twin workflows.
Key Responsibilities
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Required Qualifications
At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.
About The Role
We are seeking a highly capable Senior Software Engineer – Platform & Services to design, build, and optimize data‑as‑a‑service capabilities within our Digital Manufacturing & Supply Chain Platform.
In this role, you will focus on delivering secure, scalable, and high‑performance APIs and microservices that expose curated data from enterprise systems, IoT devices, and analytical models to various consumers—including applications, dashboards, and simulation environments.
You will work closely with Data Engineering and platform teams to transform raw and processed datasets into reliable, observable, and production‑ready services, enabling real‑time insights, predictive analytics, and digital twin workflows.
Key Responsibilities
- Develop and enhance REST/gRPC APIs, GraphQL endpoints, and event‑driven microservices for real‑time and batch data consumption.
- Implement service‑oriented components that expose curated datasets from enterprise systems and IoT platforms.
- Partner with Data Engineering to understand data pipelines, data contracts, and governance requirements.
- Implement security controls including authentication, authorization, and role‑based access mechanisms.
- Optimize microservices for scalability, high availability, and low‑latency performance, supporting use cases like predictive maintenance and dynamic scheduling.
- Contribute to API lifecycle management—including versioning, monitoring, observability, and documentation.
- Deploy and manage services using Docker, Kubernetes, and cloud‑native platforms (AWS/Azure).
- Build and maintain CI/CD pipelines, infrastructure‑as‑code templates, and automated deployment workflows.
- Collaborate with architects and product teams to ensure service designs align with platform strategy.
- Follow best practices for code quality, testing, DevOps automation, and platform security.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 7–10 years of professional software engineering experience.
- Strong hands‑on experience with API development (REST, gRPC, GraphQL).
- Solid knowledge of microservices architecture and distributed systems.
- Proficiency in backend programming languages such as Java with Spring Boot, Python
- Practical experience with cloud platforms (AWS/Azure) and container orchestration (Docker/Kubernetes).
- Familiarity with messaging systems like Kafka or Event Hubs.
- Experience developing and operating CI/CD pipelines (GitHub Actions)and cloud‑native deployments.
- Strong problem‑solving, communication, and cross‑functional collaboration skills.
- Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments.
- Experience with API gateways, developer portals, and usage analytics.
- Knowledge of OAuth2, JWT, and enterprise‑grade security standards.
- Familiarity with data virtualization, semantic layers, or enterprise analytics platforms.
- Experience using observability tools such as Prometheus, Grafana, OpenTelemetry.
- Understanding of data integration patterns and orchestration frameworks.
- Exposure to OpenUSD or Omniverse for simulation‑driven data services.
- Participation in open‑source projects or publications in platform engineering or Industry 4.0 domains.
- Experienced in using AI agents to accelerate API and Platform Services development
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