Java AWS Software Engineer

Bounteous; Bethesda (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Bounteous is seeking an experienced Java AWS Software Engineer to design and implement cloud-native services on AWS, collaborating with product, data and DevOps teams to build scalable backend systems handling high data processing and advanced search capabilities.

You will design, develop, test, and deploy robust microservices using Java, manage NoSQL databases like DynamoDB/MongoDB, Redis caching, and Elasticsearch/OpenSearch clusters, and set up CI/CD pipelines with CloudFormation for

Qualifications

• Bachelor's degree in Computer Science or related field.
• 3–5 years' experience in AWS-related roles.

Responsibilities

• Design, develop, test, and deploy robust, scalable microservices using Java on AWS.
• Architect and manage high-performance data systems including NoSQL databases and Redis caching.
• Implement and tune Elasticsearch/OpenSearch clusters for low-latency search and analytics.
• Set up CI/CD pipelines and CloudFormation templates for infrastructure automation.
• Follow security and compliance standards (NIST 800-53, HIPAA) in cloud deployments.

Skills

Java

Spring Boot

Microservices architecture

Cloud computing

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

OpenSearch/Elasticsearch

Redis

DynamoDB

MongoDB

CloudFormation

CI/CD

Job description

We are seeking an experienced Java AWS Software Engineer to provide expertise of a large eco-system of highly integrated applications. You will play a pivotal role in designing and implementing cloud native services running in AWS working closely with the product, data and DevOps team to build and maintain scalable backend systems that handle high data processing, rapid caching and complex search capabilities.

Job Responsibilities:

• Design, develop, test, and deploy robust, scalable, and secure microservices using Java on AWS.
• Architect and manage high-performance data systems, including NoSQL databases (e.g., Amazon DynamoDB, MongoDB) and distributed caching layers via Redis (Amazon ElastiCache).
• Implement and tune Elasticsearch (or Amazon OpenSearch) clusters for low-latency full-text search, data aggregation, and log analytics.
• Monitor system bottlenecks, optimize query performance across SQL/NoSQL and search platforms, and ensure high availability.
• Build applications within AWS using a hybrid approach of new and legacy components (e.g. new front-end/services with legacy database or other mix-and-match approaches) to best fit budget/scope/timeline constraints.
• Set up a functional model for seamless script promotion (CI/CD pipeline) from development to test, UAT, and production.
• Design stacks using Amazon CloudFormation templates to launch AWS infrastructure and resources.
• Use discovery tools to define and develop customer requirements and pricing models.
• Establish infrastructure using scripts, adhering to best practices, and incorporating AWS suggested templates for compliance with standards like NIST 800-53 and HIPAA.

Basic Qualifications:

• Bachelor's degree in computer science or related field.
• 3 – 5 years' experience with a combination of AWS related roles such as working as an AWS Developer and AWS Architect.

Preferred Qualifications:

• AWS certifications, such as AWS Developer and AWS Architect
• Similar experience with migrating on-premises applications to AWS

Minimum Qualifications:

• Experience with building applications within AWS using a hybrid approach of new and legacy components (e.g. new front-end/services with legacy database or other mix-and-match approaches) to best fit budget/scope/timeline constraints.
• Proficiency in Java (Spring Boot, microservices architecture)
• Hands-on experience designing and deploying production‑grade applications on AWS core services (EC2, S3, Lambda, IAM, VPC, CloudWatch)
• Proven experience implementing, configuring, and scaling Elasticsearch or Amazon OpenSearch for enterprise search applications.
• Solid understanding and practical experience with NoSQL databases and in‑memory data stores/caching mechanisms like Redis
• Be proficient in setting up a functional model for seamless script promotion (CI/CD pipeline) from development to test, UAT, and production.
• Experience migrating/converting data from legacy applications to a new target application environment.
• Experience using discovery tools to define and develop customer requirements and pricing models.
• Solid understanding of data modelling fundamentals.