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Sr. Java Springwood Backend Developer; Hybrid

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Cognizant
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Java Springwood Backend Developer (Hybrid)

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.Backend Engineer

  • 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
    • Type Script
    • Java Script
    • 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
    • Cloud Watch
    • 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.
Dev Ops & Platform Engineering
  • Strong understanding of Dev Ops principles and CI/CD pipelines.
  • Experience with:
    • Docker
    • Kubernetes
    • Helm
    • Jenkins/Git Hub Actions/Git Lab CI
    • Terraform/Cloud Formation
  • Knowledge of deployment automation, blue-green deployments, canary deployments, and rollback strategies.
  • Experience supporting production releases and operational readiness.
SRE / Production Support
  • Understanding of Site Reliability Engineering (SRE) concepts.
  • Experience with:
    • Monitoring
    • Alerting
    • Logging
    • Incident management
    • RCA analysis
    • Production debugging
  • Familiarity with observability platforms such as:
    • Datadog
    • Splunk
    • Cloud Watch
    • Prometheus/Grafana
  • Ability to troubleshoot distributed production systems under high load.
AI & Modern Engineering Practices
  • Understanding of AI-assisted development and modern engineering tooling.
  • Exposure to:
    • AI coding assistants
    • Prompt engineering
    • AI-driven SDLC acceleration
    • Agentic workflows
    • AI-powered observability or automation
  • Ability to leverage AI tools for:
    • Code generation
    • Unit testing
    • PR reviews
    • Documentation
    • Operational analysis
  • Awareness of secure AI engineering and prompt injection prevention concepts is a plus.
Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a Cognizant office in Greenwood Village, CO. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest…

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