Please find the specs of the requirement below; kindly send suitable profiles to srikanth@dwintechcorp.com
Job Details:
Job ID: 26-01535
Title: Senior Software Engineer
Location: Washington, DC / Tysons, VA / Rockville, MD (Hybrid – 3 days onsite with 2 days remote)
Duration: 6 Months with possible extension
Interview process: Prescreen, Phone, Onsite panel
Job Summary:
We are seeking a Senior Software Engineer to design, develop, and maintain enterprise-scale software solutions in a cloud-native AWS environment. This is a hands-on engineering role for someone who enjoys solving complex technical problems, building scalable backend systems, mentoring teammates, and driving engineering best practices.
Responsibilities
Design, develop, and maintain scalable Java-based backend applications using Spring Boot and microservices.
Architect and implement enterprise-grade, cloud-native solutions on AWS.
Develop RESTful APIs and event-driven applications using modern architectural patterns.
Design scalable data models and integrate relational and NoSQL databases.
Contribute to system architecture, performance optimization, security, and reliability initiatives.
Build and support CI/CD pipelines while promoting DevOps best practices.
Leverage AI and LLM tools to improve engineering productivity and software delivery.
Mentor junior engineers and collaborate across cross-functional teams to deliver high-quality solutions.
Required Qualifications
7 years of software engineering experience with strong object-oriented programming skills.
Expert-level Java development experience; Python experience preferred.
Strong experience with Spring Boot, microservices, REST APIs, and distributed systems.
Experience designing scalable, enterprise-grade system architectures.
Hands-on experience with AWS services such as Lambda, ECS/Fargate, S3, SQS, SNS, Step Functions, and Aurora.
Experience with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra), including data modeling.
Experience with CI/CD, DevOps practices, automated testing, performance tuning, and application security.
Familiarity with AI/LLM technologies and applying AI tools to software development workflows.
Bachelor's degree in Computer Science or a related field, or equivalent professional experience.
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