Software Developer

Title: Software Developer
Location: Denver, CO (On-site)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:


Backend Engineering
• Design, develop, and maintain scalable enterprise-grade microservices using Java 17 and Spring Boot.
• Build high-throughput, low-latency distributed systems handling large-scale transactional workloads.
• Develop RESTful APIs and asynchronous/event-driven services using Kafka.
• Implement resilient application patterns including retry, circuit breaker, idempotency, caching, throttling, and back-pressure handling.
• Work with reactive and asynchronous programming models where applicable.
• Design reusable frameworks, shared libraries, and platform components.



Full Stack Development
• Collaborate with UI teams and contribute to frontend integration.
• Possess working knowledge of modern frontend technologies such as:
• Angular
• TypeScript
• JavaScript
• HTML5/CSS3
• Understand API contracts, authentication flows, UI performance, and frontend-backend integration patterns.
• Ability to debug UI integration issues and optimize end-to-end application performance.



Cloud & AWS Engineering
• Design and implement cloud-native applications on AWS.
• Work extensively with AWS services such as:
• ECS/EKS
• Lambda
• API Gateway
• S3
• DynamoDB
• CloudWatch
• IAM
• SNS/SQS
• Step Functions
• MSK/Kafka
• Participate in architecture reviews and cloud optimization initiatives.



Database & Data Engineering
• Strong hands-on experience with:
• Oracle
• MongoDB
• DynamoDB
• Design scalable schema models for transactional and high-volume systems.
• Write complex SQL queries, joins, stored procedures, and performance-optimized database operations.
• Expertise in:
• Query optimization
• Indexing strategies
• Execution plan analysis
• Partitioning
• Connection pooling
• Database tuning
• Experience handling large-scale datasets and high-throughput systems.


Kafka & Event-Driven Systems
• Design and implement Kafka-based asynchronous systems.
• Strong understanding of:
• Kafka partitions
• Consumer groups
• Scaling strategies
• Retry topics
• Dead-letter queues
• Batch processing
• Exactly-once/at-least-once semantics
• Experience troubleshooting Kafka lag, throughput bottlenecks, and consumer tuning.



Performance Engineering
• Perform JVM tuning and application performance optimization.
• Identify and resolve memory leaks, GC issues, thread contention, and latency bottlenecks.
• Conduct performance profiling using tools such as:
• JProfiler
• VisualVM
• Datadog
• Splunk
• Optimize APIs, database interactions, cache usage, and distributed workflows.
• Experience designing systems for high TPS and low-latency requirements.



DevOps & Platform Engineering
• Strong understanding of DevOps principles and CI/CD pipelines.
• Experience with:
• Docker