9 publicaciones de empleo destacadas en java developers (¡Están contratando!)

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Lead Java Engineer with Azure
EPAM Systems, Inc. —Desde casa
Collaborate with architects, DevOps engineers, QA teams, and business stakeholders. Experience with Docker and Kubernetes.

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Lead AI Software Engineer

EPAM Systems, Inc. -
Desde casa

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Detalles del empleo

Descripción completa del empleo

We are looking for a Lead AI Software Engineer to embed AI-driven capabilities into the SDLC and scale their use across engineering teams. You will engineer integrations, automation, and enablement for LLM-based tooling across workflows like CI/CD, testing, and code review, and help teams adopt secure, responsible practices—apply now.

Responsibilities

Design AI-powered solutions embedded in SDLC workflows across requirements, development, testing, and CI/CD
Build backend services and integrations that enable LLM-based tooling in engineering environments
Create prototypes and deliver production-grade AI-assisted automation
Integrate AI capabilities into CI/CD pipelines, code review processes, and testing frameworks
Identify high-impact SDLC use cases for AI enablement
Establish best practices for AI-assisted development
Guide engineering teams in adopting AI tools through hands-on support
Define guardrails for secure and responsible AI usage
Measure and report the effects of AI adoption on cycle time, quality, and productivity

Requirements

5+ years of professional experience with Python, with additional exposure to Java or Node.js as a bonus
Hands-on experience integrating external APIs, including AI/LLM services
Solid background in CI/CD pipelines and DevOps practices
Deep understanding of microservices architecture with familiarity in Docker and Kubernetes
Proven track record delivering production-grade services with scalability, monitoring, and logging
Practical experience with LLM APIs and prompt design
Strong understanding of end-to-end SDLC processes and improving developer productivity through tooling
Demonstrated ability to drive adoption of new technical practices and translate AI capabilities into engineering improvements
Excellent communication skills with the ability to lead demos, workshops, and internal technical sessions
Advanced English proficiency (B2+/C1)

Nice to have

Change management experience to help drive adoption and sustain new AI-enabled engineering practices

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