low-code developer A/B Testing Platform

EPAM is an engineering organisation that builds enterprise software products, open source solutions, accelerators, and high-scale digital platforms for global clients in entertainment, media, and streaming.

• Lead a significant part of the implementation, design, testing, and deployment of services running in a multi-region cloud environment;
• Ensure quality and high standards for feature development through automated testing and code reviews, setting examples for others to follow;
• Work with the Lead Engineer in partnership with Product and Project Management to influence roadmap and architectural decisions within the team;
• Support Agile practices within the squad, actively contributing to ceremonies such as standup and planning;
• Mentor less experienced engineers to help them improve their technical abilities and build their profiles within and outside the organisation;
• Contribute to an inclusive culture that values learning, close collaboration, and strives for excellence.

• Strong understanding of high-quality coding, testing, and development practices;
• Experience in a JVM language such as Java, Scala, or Kotlin;
• Willingness to learn Scala, which the team primarily uses with functional programming principles and frameworks such as Cats Effect and ZIO;
• Familiarity designing, building, and operating distributed systems with multi-level failover and fallback strategies;
• Familiarity with at least one major cloud provider: AWS, GCP, or Azure;
• Familiarity with Terraform or other infrastructure-as-code (IaC) tooling;
• Strong communication skills — ability to understand, frame, and simplify both technical and business requirements;
• Experience mentoring and coaching engineers on technical and soft skills;
• Nice to have: Experience building micro/web services including REST and GraphQL, experience or interest in functional programming and its real-world applications particularly Scala stacks such as Cats Effect and ZIO, experience with relational and NoSQL databases particularly PostgreSQL, Aurora, and DynamoDB including data modelling and query performance optimisation, experience with Kinesis, Kafka, or other streaming data technologies, familiarity with data warehouse, pipeline, and analytics platforms such as Databricks or Snowflake, background in high-traffic, low-latency systems serving millions of concurrent users, experience working in the entertainment, media, or streaming domain.

• No conditions specified