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Lead Software Engineer

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Onsite

Lead Software Engineer

Quest Global

Lead Software Engineer

Skills

Google Cloud PlatformMongoDBNextDockerReactTypescriptJavaMicroservicesHTMLSpring BootPostgreSQLCassandraKafkaRedisRabbitMQMicrosoft Azure Cosmos DBGraphQLGrafanaMachine LearningAIElasticsearchGradleAnsiblePrometheusGitHubKubernetesComplianceTerraformAzure

5 days ago

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Important information


Contract type:

Permanent

Location:

Pune Division, Maharashtra, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


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.

Key Responsibilities Backend Engineering & Cloud

  • Deliver production-grade Java Spring Boot services — including Spring Cloud, Spring Security, and WebFlux.
  • Design and optimise data access layers across PostgreSQL, MongoDB, and Cassandra for scale and resilience.
  • Implement Kubernetes-based deployment topologies (Helm, Kustomize, service mesh via Istio/Linkerd).
  • Architect CI/CD pipelines using GitHub Actions, Cloud Build, Azure DevOps, ArgoCD, or Tekton.
  • Oversee observability stacks: OpenTelemetry, Prometheus, Grafana, Cloud Monitoring / Azure Monitor.

Frontend & Integration

  • Collaborate with frontend teams on React/HTML5 BFF (Backend-for-Frontend) patterns and micro-frontend integrations.
  • Define CDN, SSR, and caching strategies to meet performance budgets from backend perspective.
  • Architect secure integration with third-party SaaS and internal platforms via event streaming (Kafka, Pub/Sub).

TECHNICAL SKILLS & COMPETENCIES: Cloud Platforms GCP (GKE, Cloud Run, BigQuery, Pub/Sub, Spanner, Firestore, Cloud CDN, VPC, Cloud Armor)

  • Azure (AKS, Azure Functions, Cosmos DB, Service Bus, Event Grid, APIM, Azure DevOps, Azure AD B2C)

Backend Java 17/21

  • Spring Boot 3.x
  • Spring Cloud
  • Spring Security
  • Spring WebFlux
  • Hibernate / JPA
  • Maven / Gradle
  • JUnit 5 / Mockito

Frontend React 18 / Next.js

  • HTML5
  • TypeScript
  • BFF Pattern
  • REST & GraphQL consumption
  • Performance optimisation

Containers & Infra Kubernetes (GKE / AKS)

  • Docker
  • Helm
  • Kustomize
  • Istio
  • ArgoCD
  • Terraform
  • Pulumi
  • Ansible

Databases PostgreSQL (partitioning, indexing, read replicas)

  • MongoDB (sharding, aggregation pipelines, Atlas)
  • Cassandra (data modelling, compaction, multi-DC)
  • Redis
  • Elasticsearch

Messaging & Streaming Apache Kafka

  • GCP Pub/Sub
  • Azure Service Bus
  • RabbitMQ
  • Event-driven architecture
  • CQRS / Event Sourcing

Security OAuth 2.0 / OIDC

  • JWT
  • Zero Trust
  • HashiCorp Vault
  • OWASP Top 10
  • Cloud IAM
  • mTLS / service-to-service auth

Architecture Patterns Microservices

  • DDD
  • Event-Driven
  • CQRS
  • Saga Pattern
  • Strangler Fig
  • Sidecar
  • API Gateway
  • Service Mesh

Required Qualifications

  • 7-10 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 (Boot, Cloud, Security, WebFlux).
  • Extensive experience with containerisation (Docker) and Kubernetes orchestration (GKE / AKS).
  • Deep knowledge of relational and NoSQL databases: PostgreSQL, MongoDB, and Apache Cassandra.
  • Strong command of microservices design, REST/gRPC APIs, and asynchronous messaging patterns.
  • Solid experience with Infrastructure-as-Code (Terraform / 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.

Preferred Qualifications

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

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

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.

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