EPAM Systems

Delivery Manager

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NieokreśloneZdalnieFull-time

#458639·Dodano miesiąc temu·7

Źródło: EPAM Systems

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Tech Stack / Keywords

CI/CD Google Cloud AWS Azure Scrum Kanban UMLLLM APIsGenAIAI

Firma i stanowisko

EPAM is a 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, EPAM empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Wymagania

5+ years in IT with strong software engineering background including 2+ years as Lead Developer, Team Lead, or Delivery Lead
Proven experience managing delivery for teams of 5+ FTEs
Ability to read and understand code and architecture of full-stack solutions, and to design and deliver one
Knowledge of architectural styles (n-tier, SOA, event-driven, microservices) and design notations like UML
Ability to design for quality attributes (performance, scalability, security, maintainability) and justify trade-offs
Advanced hands-on CI/CD experience: designing pipelines from scratch and optimizing existing ones
Hands-on experience with at least one major cloud platform (Google Cloud, AWS, or Azure); cloud certifications a plus
Advanced code quality practices including code review, static analysis, and coding standards
Hands-on experience driving AI-assisted SDLC adoption and building AI agents (e.g., with LLM APIs and agent frameworks)
Solid project management skills including scope, estimation, planning, risk, quality, and change management
Hands-on experience setting up delivery metrics across SDLC stages and adjusting to commercial models and SDLC approaches
Experience establishing team-level delivery governance: cadences, reviews, reporting, escalation
Practical experience with Agile frameworks (Scrum, Kanban) and ability to tailor methodology
Understanding of testing fundamentals: test levels, types, and activities
Experience with direct client communication on technical topics and conflict resolution, ideally in multicultural environments
People leadership: coaching, feedback, performance management, and interviewing
Strong ownership, adaptability, clear verbal and written communication, confidence to challenge existing approaches constructively
English at B2 level or higher

Nice to have:

Experience delivering AI-based solutions such as LLM-powered applications, chatbots, or recommendation engines
Awareness of legal, ethical, and compliance aspects of GenAI including privacy, data security, IP, and bias
Familiarity with scaled Agile frameworks (SAFe, LeSS, Nexus)
Basic understanding of engagement models (Staff Augmentation, Managed Capacity, Managed Service)
Basic understanding of project P&L

Obowiązki

Lead end-to-end delivery of teams, managing scope, timelines, quality, and outcomes
Own team staffing: define roles, interview candidates, assess skills and seniority
Set up or take over delivery environment technically (tooling, environments, CI/CD) and process-wise (ways of working, ceremonies, roles)
Plan and estimate effort, schedule delivery, track milestones, and collaborate with leadership on budgets
Establish team-level delivery governance including reviews, health checks, reporting, and escalation
Drive data-driven delivery by defining and tracking metrics across SDLC stages and delivery aspects
Identify, assess, and mitigate risks; run risk reviews and escalate as needed
Act as problem solver focused on delivering customer value
Make software architecture decisions within team scope and justify them
Translate architecture into detailed implementation plans and suggest improvements
Dive into code-level problem areas and support resolution
Design CI/CD processes and remove pipeline inefficiencies
Design quality processes across SDLC: coding standards, code review, static/dynamic analysis, refactoring, testing
Choose and adapt delivery methodology (Scrum, Kanban, other) to project needs
Drive adoption of AI-powered SDLC from coding to project management and measure impact
Build AI agents and skills hands-on to automate workflows and raise efficiency
Evaluate and select GenAI tools and platforms, communicate benefits to team and stakeholders
Contribute to AI-based solutions delivery and EPAM's GenAI offerings in client and presales
Own direct communication with client stakeholders on technical and delivery topics; handle conflicts
Learn client domain, internal processes, and align team's ways of working
Lead by example: coach, give feedback, manage performance, build inclusive environment
Contribute to presales through estimations, architecture reviews, and documentation
Share delivery best practices with the wider EPAM community

Benefity

Hybrid work mode with opportunity to work remotely within Poland
Chance to work abroad up to 60 days annually
Business-driven relocation opportunities
Career development programs including mentoring, soft skills, and well-being programs
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay
Participation in Employee Stock Purchase Plan with 15% discount
Benefits package including health insurance, multisport, shopping vouchers
Referral bonuses up to $2,000
Office amenities including entertainment, relaxation zones, table tennis, football, free snacks, and coffee
Corporate, social, and well-being events

Elastyczne godziny

Pakiet relokacyjny

Szkolenia wewnętrzne

Budżet konferencyjny

Dofinansowanie szkoleń

Spotkania integracyjne

Kursy językowe

Karta sportowa

Opieka zdrowotna

Ubezpieczenie

Darmowe przekąski

Napoje w biurze

Premie

Udziały pracownicze

EPAM Systems

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