Back to SearchLead Software Engineer
Hybrid in United States of America: Boston, & 2 others
JavaScript (Fullstack)& 6 others
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Join EPAM as a Lead Software Engineer and own the design and delivery of scalable, cloud-native data platforms. You will shape platform strategy, set engineering standards, and lead a team building resilient Angular-powered and event-driven systems that drive critical business outcomes.
Join EPAM to engineer solutions that matter. From AI to cloud transformation, you'll collaborate with top-tier innovators, gain autonomy to explore your ideas, and grow your skills in a culture built for tech excellence.
Req.#1044865470
Responsibilities
- Architect and deliver cloud-native data platforms on AWS, leveraging REST APIs, microservices, and Kafka-driven event architectures to build highly scalable and resilient systems
- Apply hands-on expertise across Angular, TypeScript, and SQL/NoSQL databases to tackle complex engineering challenges and uphold platform excellence at scale
- Drive product-wide technical initiatives spanning performance optimization, scalability, reliability, security, governance, and cost efficiency to advance long-term platform direction
- Collaborate with global engineering, product management, architecture, and business teams to translate strategic objectives into robust, future-ready technical solutions
- Take end-to-end ownership of the software development lifecycle, from requirements gathering and solution design through deployment, observability, and documentation
- Lead and mentor junior engineers, cultivating a team culture grounded in innovation, accountability, collaboration, and continuous technical growth
Requirements
- 8 to 10 years of software engineering experience with proven expertise in building scalable, UX-driven applications and distributed systems architecture
- Strong hands-on proficiency in Angular and TypeScript, complemented by solid knowledge of Java and Python, with deep understanding of object-oriented design patterns and functional programming
- Extensive experience with AWS services including S3, Lambda, API Gateway, and EventBridge, alongside Kubernetes containerization and Infrastructure as Code tools such as Terraform and Ansible
- Demonstrated expertise in Kafka and event-driven messaging technologies including SNS and SQS, along with strong command of relational and NoSQL databases such as PostgreSQL, Aurora, DynamoDB, MongoDB, and Redis
- Solid background in data warehousing, data lakes, Delta Lake architectures, and distributed data processing technologies including PySpark and Apache Spark
- Strong experience with CI/CD and DevOps practices using tools such as Jenkins and GitHub/GitLab, paired with a rigorous approach to testing strategies and complex analytical problem-solving