Engineering Manager (Java Organization)

EPAM Systems; Georgia; On-site; USD 120,000 - 150,000; Full time

Job summary

EPAM Systems, located in the United States, is seeking an Engineering Manager to lead a mid-size Java engineering organization. The role involves managing a team of 30-50 people, focusing on talent development, project management, and AI implementation.

The ideal candidate will have extensive experience in engineering management within Java ecosystems and a strong commitment to delivering high-quality products. Strong analytical, leadership, and communication skills are essential.

Qualifications

• 4–5+ years of engineering or delivery management experience.
• Hands‑on engineering experience in the Java ecosystem and cloud environments.
• Practical AI skills and experience with application of AI tools across the software development lifecycle.
• Strong knowledge of Agile delivery methodologies.
• Excellent analytical thinking and problem‑solving skills.

Responsibilities

• Lead and develop a mid‑size Java engineering organization of 30–50 people.
• Drive staffing, interviewing, and hiring decisions.
• Enable talent growth and professional development.
• Own delivery from kick‑off to go‑live and post‑production support.
• Serve as a primary point of contact for customers and key stakeholders.
• Mentor and coach engineers and leaders.

Skills

Engineering Management

Java Ecosystem

AI Implementation

Agile Methodologies

Analytical Thinking

Communication Skills

Project Management

Problem-Solving

Team Leadership

Job description

EPAM is looking for an Engineering Manager to join our Java Discipline Organization and lead ongoing engagements while growing and developing a mid‑size engineering organization.

Responsibilities

• Lead and develop a mid‑size Java engineering organization of 30–50 people.
• Hire the right talent at the right time.
• Drive staffing, interviewing, and hiring decisions.
• Enable talent growth and professional development.
• Advance engineering excellence by establishing quality practices and delivery standards.
• Build AI capabilities across the team and drive AI adoption in projects and within the organization.
• Contribute to organizational growth at the local, regional, and global levels.
• Lead AI transformation initiatives within the organization and for strategic clients.
• Foster a positive, collaborative, and high‑performing team environment.
• Mentor and coach engineers and leaders.
• Resolve people management challenges thoughtfully and effectively.
• Own delivery from kick‑off to go‑live and post‑production support.
• Serve as a primary point of contact for customers and key stakeholders.
• Communicate project status, priorities, and risks proactively.
• Manage project budgets and ensure effective resource allocation.
• Prepare work breakdown structures and resource plans.
• Lead distributed project teams across locations.
• Establish an effective governance model for smooth delivery and decision‑making.
• Ensure product quality and inspire teams to deliver measurable business value.
• Identify opportunities to grow accounts, improve project outcomes, and support new business development.

Qualifications

• 4–5+ years of engineering or delivery management experience.
• Hands‑on engineering experience in the Java ecosystem and cloud environments.
• Practical AI skills and experience with application of AI tools across the software development lifecycle.
• Strong knowledge of Agile delivery methodologies.
• Excellent analytical thinking and problem‑solving skills.
• A proactive, self‑driven mindset and the ability to work with minimal direction.
• Excellent communication skills and strong emotional intelligence.
• English proficiency at Upper‑Intermediate+ (B2+) level or higher.
• Fluency in Georgian language.
• A strong commitment to delivery of high‑quality products and exceptional client service.
• The ability to collaborate effectively with a wide range of stakeholders, including offshore and onsite teams, Account Managers, and client representatives.
• Experience with delivery of enterprise‑grade solutions.
• A strong understanding of the full product development lifecycle, from pre‑sales to post‑production support.
• The ability to manage multi‑stream projects or programs.
• Proven ability to lead and scale teams of 30+ people while handling people management matters effectively.
• Familiarity with pre‑sales activities and solution design.
• Project management experience.
• Experience with AI solutioning.