We are hiring a Senior Software Engineer (AI Native) to drive end-to-end delivery in an AI-native setup where automation covers much of build, test, and deploy. You will translate requirements into precise specs, guide agentic workflows, and rigorously review AI-generated code for correctness and performance while setting data quality standards—apply now.

Responsibilities

• Analyze requirements and select the appropriate data sources
• Define data schema and data contracts, using tooling/plugins to generate schemas
• Write clear specifications in Jira describing what needs to be implemented, feeding the AI-assisted code generation workflow
• Review AI-generated code with strong technical judgment, validating performance, optimization, edge cases and correctness as the core of the role
• Design and implement data quality checks
• Deploy code through the automated pipeline
• Communicate clearly with stakeholders and team members on requirements, technology and design

Requirements

• At least 3 years of experience in software / data engineering
• Proficiency in Scala, Java or Kotlin (Python alone is not sufficient)
• Familiarity with AI tools such as Claude / Claude Code and experience building agentic workflows
• Expertise in Spark and Iceberg
• Strong code review skills, able to inspect generated code deeply and identify performance, optimization, and corner-case issues
• Excellent analytical ability, comfortable scoping requirements, locating data sources, and defining data grain
• Clear focus on the delivery lifecycle and automation more than development itself
• Strong communication skills, both verbal and written
• Ability to learn quickly and comfort with new technologies and challenging the status quo
• Practical experience applying Agile/Scrum methodologies
• English proficiency at B2 (Upper-Intermediate) level or higher

Nice to have

• Familiarity with streaming technologies such as Kafka
• Background in the e-commerce or travel industry

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn