Sr. Developer - Application Development P 4b

Sr. Developer - Application Development P
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
- Collaborate with stakeholders to determine software requirements;
- Conduct code reviews and provide feedback to team members;
- Conduct code reviews and provide feedback to team members;
- Job Responsibilities
- Implement event-driven systems using event sourcing, CQRS patterns, and saga orchestration
- Design and develop high-performance microservices and APIs in Golang for distributed systems
- Design and build distributed workflows using Temporal for long-running transactions and business processes
- Implement workflow orchestration patterns with Temporal including activities, signals, queries, and child workflows
- Build event producers, consumers, and stream processors with guaranteed delivery semantics
- Implement complex event processing (CEP) logic including event correlation, aggregation, and enrichment
- Design event schemas using Protocol Buffers, or JSON Schema with versioning strategies
- Develop and maintain integration solutions between microservices, legacy systems, and third-party platforms
- Build RESTful and gRPC services with proper versioning, authentication, and rate limiting
- Develop Infrastructure as Code using Terraform for provisioning Azure resources
- Manage and optimize Azure Kubernetes Service (AKS) clusters and containerized workloads
- Configure service mesh solutions (Istio, Linkerd) for traffic management and observability
- Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools
- Implement resilience patterns including circuit breakers, retry logic, bulkheads, timeouts, dead letter queues, idempotent handlers, and event replay mechanisms
- Implement comprehensive monitoring, alerting, and observability using Prometheus, Grafana, and Azure Monitor
- Develop distributed tracing solutions using OpenTelemetry or Application Insights
- Implement security best practices including OAuth2, JWT authentication, mTLS, and secrets management
- Optimize system performance, throughput, and latency through profiling and load testing
- Document integration patterns, API specifications, and architecture decisions
- Collaborate with cross-functional teams in agile ceremonies including sprint planning, retrospectives, and daily standups
- Work closely with product managers, DevOps, and data engineering teams to deliver integrated solutions
- Contribute to the continuous improvement of development processes, tools, and team practices
- Provide technical leadership and mentorship to junior and mid-level engineers
- Participate in code reviews, architecture discussions, and design review sessions
- Works with an open and collaborative style
- Work in an Agile development team
- Experience with version control systems (Git) and collaborative development workflows
- Strong understanding of authentication and authorization patterns (OAuth2, JWT, SAML)
- Experience with monitoring and observability tools (Prometheus, Grafana, Azure Monitor, Application Insights)
- Knowledge of API security best practices and data encryption
- Experience configuring and optimizing Apache Kafka clusters including topics, partitions, and consumer groups
- Experience implementing message brokers (RabbitMQ, Azure Service Bus, NATS) for asynchronous communication
- Experience designing and implementing API gateways for routing, transformation, and protocol translation
- Data engineering skills including: Database design (SQL and NoSQL)Data modeling and schema designETL/ELT pipeline developmentStream processing and batch processing
- Experience with additional programming languages (Python, Java, or C#)
- Knowledge of other cloud platforms (AWS, GCP)
- Familiarity with data streaming platforms (Apache Flink, Spark Streaming, Kafka Streams)
- Experience with event-driven orchest