We are looking for a Senior AI & Platform Integration Engineer to join a cross-product-architecture initiative aimed at reducing deployment tool sprawl across the client's applications and migrating them to standard technologies. This project focuses on building and implementing an AI-assisted Migration Framework using autonomous AI agents to automate application lifecycle management, streamline migrations for Lines of Business, and accelerate product upgrade cycles within a secure Sovereign Cloud environment.
Responsibilities
- Develop the core AI agent modules, including the Migration Agent for automatic artifact conversion and deployment metadata tagging
- Build the pre-deployment validation module to perform automated config checks and dependency resolution
- Design the deployment orchestration module to manage deployment sequencing logic
- Create the post-deployment verification module to serve as a copilot for human operators during validation and rollback
- Integrate developed AI agents with the confirmed SCS toolchain, such as Jenkins, Tekton, or ArgoCD
- Write robust audit logging code that captures agent decisions and reasoning, connecting it to the existing monitoring stack
- Maintain high code quality through unit, integration, and E2E testing, ensuring a minimum of 80% unit-test coverage
- Produce technical runbooks, onboarding manuals, and operational guides
- Support the knowledge transfer process to the operations team
Requirements
- 5+ years of experience in backend engineering, with expertise in writing clean, modular, and asynchronous code
- Proficiency in AI-agent workflow development, including LLM APIs, prompt engineering, and AI-based parsing of raw configurations or code
- Hands-on experience configuring and extending Kubernetes-native CI/CD tools
- Proven track record delivering rigorously tested code, with strong unit and integration test coverage
- Proven ability to build secure, robust integrations between disparate tools, microservices, and databases
- Skills in Python, Go, or Java
- Familiarity with AI and agentic frameworks such as LangChain, AutoGen, LlamaIndex, or OpenAI/Enterprise LLM APIs
- Knowledge of CI/CD and GitOps tools, including ArgoCD, Tekton, Jenkins, Kubernetes, Helm, and YAML
- Understanding of observability tools such as OpenTelemetry, Prometheus, Grafana, or ELK Stack
- Competency in testing tools such as PyTest, Go Test, or JUnit
- English proficiency at B2 level or higher
Nice to have
- Background in developing within highly secure, air-gapped, or Sovereign Cloud environments
- Experience troubleshooting live pipeline deployments and interacting directly with platform engineering teams
We offer
- We gather like-minded people:
- Top tech minds driving innovation in AI, cloud and digital platform modernization
- Supportive team and agile, startup-like culture
- Hybrid by design mode and opportunity to work remotely within Poland
- Chance to work abroad for up to 60 days annually
- Business-driven relocation opportunities
- We provide growth opportunities:
- Career development programs
- Thought leadership, mentoring, soft skills and well-being programs
- Certification (Anthropic, Gemini, GCP, Azure, AWS)
- English classes
- We cover it all:
- Stable pay
- Participation in the Employee Stock Purchase Plan with a 15% discount
- Benefits package (health insurance, multisport, shopping vouchers)
- Referral bonuses up to $2,000
- Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
- Corporate, social and well-being events
- Please, note:
- Benefits listed above are available to employees only
- We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
- We will reach out to selected candidates exclusively
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.