Q

Quest Global

Engineering services, digital transformation, asset management

Lead Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • Seven to ten years of hands-on software engineering experience.
  • Proven delivery of large-scale cloud-native platforms on GCP and/or Azure in production at 10M+ users.
  • Expert-level proficiency in Java (11+) and the Spring ecosystem, including Spring Boot, Spring Cloud, Spring Security, and WebFlux.
  • Extensive experience with containerization using Docker and Kubernetes orchestration using GKE or AKS.
  • Deep knowledge of relational and NoSQL databases, including PostgreSQL, MongoDB, and Apache Cassandra.
  • Strong command of microservices design, REST/gRPC APIs, and asynchronous messaging patterns.
  • Solid experience with Infrastructure as Code using Terraform or Pulumi and GitOps workflows.
  • Hands-on exposure to React/HTML5 and BFF architecture patterns.
  • Track record of leading architecture reviews, engineering governance, and cross-functional delivery.
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.

Responsibilities

  • Deliver production-grade Java Spring Boot services, including Spring Cloud, Spring Security, and WebFlux.
  • Design and optimize data access layers across PostgreSQL, MongoDB, and Cassandra for scale and resilience.
  • Implement Kubernetes-based deployment topologies using Helm, Kustomize, and service mesh technologies such as Istio or Linkerd.
  • Architect CI/CD pipelines using GitHub Actions, Cloud Build, Azure DevOps, ArgoCD, or Tekton.
  • Oversee observability stacks including OpenTelemetry, Prometheus, Grafana, Cloud Monitoring, and Azure Monitor.
  • Collaborate with frontend teams on React/HTML5 BFF patterns and micro-frontend integrations.
  • Define CDN, SSR, and caching strategies to meet performance budgets from the backend perspective.
  • Architect secure integration with third-party SaaS and internal platforms through event streaming using Kafka or Pub/Sub.

Desired Qualifications

  • Experience with AI/ML platform integration, including Vertex AI, Azure ML, or LLM orchestration.
  • Familiarity with FinOps tooling and cloud cost optimization frameworks.
  • Open-source contributions or published technical writing on distributed systems topics.
  • Experience in regulated industries such as BFSI, Telecom, or HealthTech, with compliance posture management.
  • Exposure to multi-cloud or hybrid-cloud landing zone designs.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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