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
◦ 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
◦ Kubernetes
◦ Helm
◦ Jenkins/GitHub Actions/GitLab CI
◦ Terraform/CloudFormation
• 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
◦ CloudWatch
◦ 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 assured; we will always be clear about role expectations.
What you need to have to be considered
• Hands-on experience administering Snowflake, including account configuration, RBAC, replication, and data-sharing solutions.
• Strong understanding of foundational cloud concepts with practical experience building in Azure, including Private DNS zones, Blob Storage, Private Endpoints, and Private Link as they relate to Snowflake.
• Experience with infrastructure as code (IaC) tools such as Terraform.
• Comfort with code versioning tools such as Git.
• Proven ability to monitor cost and performance across Snowflake environments and troubleshoot issues with application teams.
These will help you stand out
• Experience designing and supporting enterprise-scale data platforms with a focus on resilience and maintainability.
• Familiarity with data governance and security best practices in cloud-native environments.
• Strong communication skills to partner effectively with both technical and non-technical stakeholders.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation
Applications will be accepted until June 26, 2026
The annual salary for this position is between $80,000– $135,000 USD depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
