EPAM Systems

Delivery Manager

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SeniorZdalnie·WarszawaFull-time

#458728·Dodano miesiąc temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Delivery ManagementSDLCPeople ManagementCI/CD AWSArchitectureAgileMetricsRisk ManagementGenerative AI

Podsumowanie oferty

The Delivery Manager role at EPAM involves hands-on technical work, including code-level involvement and software architecture design. The role encompasses end-to-end delivery management for projects and teams, with responsibilities spanning delivery governance, risk and stakeholder management, and AI-driven delivery integration. The position reports to senior leadership and requires proactive problem-solving and team leadership.

Wymagania

5+ years in IT with strong software engineering background including 2+ years as Lead Developer, Team Lead, or Delivery Lead
Proven track record managing delivery for teams of 5+ FTEs
Ability to read and understand code and architecture of full-stack solutions and design and deliver them
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 and optimizing pipelines
Hands-on experience with at least one major cloud platform (Google Cloud, AWS, or Azure); certifications are a plus
Advanced code quality practices including code review, static analysis, and coding standards
Experience driving AI-assisted SDLC adoption in teams
Hands-on experience building AI agents and skills with LLM APIs and agent frameworks
Solid project management skills: scope, estimation, planning, risk, quality, and change management
Experience setting up delivery metrics across SDLC stages and adjusting metrics to commercial models (T&M, Fixed Fee, Managed Service)
Experience establishing team-level delivery governance: cadences, reviews, reporting, escalation
Practical knowledge of Agile frameworks (Scrum, Kanban) and ability to tune methodologies
Understanding of testing fundamentals: test levels, types, and activities
Experience in direct client communication on technical topics and conflict resolution in multicultural environments
People leadership with coaching, feedback, performance management, and interviewing
Strong ownership, adaptability, verbal and written communication skills
English proficiency 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 Generative AI (privacy, data security, IP, 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 your teams, owning scope, timelines, quality, and outcomes
Define roles and skills needed, interview candidates, and assess skills and seniority
Set up or take over the delivery environment technically and process-wise, adapting it to project needs
Plan, estimate effort, schedule delivery, and track milestones collaboratively with senior leadership
Establish delivery governance including reviews, health checks, reporting, and escalation for all SDLC phases
Define and track delivery metrics across SDLC stages and aspects, using data to steer decisions
Identify, assess, and mitigate scope, schedule, budget, and resource risks, escalating early as needed
Solve problems focused on delivering customer value
Make software architecture decisions within team scope, justifying them against requirements
Translate architecture into detailed implementation plans and suggest design improvements
Dive into problem areas down to code level and support resolution
Design and continuously improve the full CI/CD process
Design quality processes across SDLC stages including coding standards, code review, analysis, refactoring, and testing
Choose and adapt delivery methodology (Scrum, Kanban, or others) to project needs
Drive AI-powered SDLC adoption, measure impact, and build AI agents and skills to automate workflows
Evaluate and select Generative AI tools and platforms, explaining benefits to team and stakeholders
Contribute to AI-based solutions delivery and EPAM's Generative AI offerings in client and presales engagements
Own communication with client stakeholders on technical and delivery topics, managing conflicts and responsibility
Quickly learn client domain, processes, and practices, aligning team ways of working
Lead teams by example through coaching, feedback, performance management, and fostering learning and inclusion
Contribute to presales through estimations, architecture reviews, and documentation
Share delivery best practices and knowledge within the EPAM community

Benefity

Top tech minds driving innovation in AI, cloud, and digital platform modernization
Supportive team and agile, startup-like culture
Hybrid work mode with opportunities to work remotely within Poland
Chance to work abroad up to 60 days annually
Business-driven relocation opportunities
Career development programs
Thought leadership, mentoring, soft skills, and well-being programs
Certifications including Anthropic, Gemini, GCP, Azure, AWS
English language 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
Offices with entertainment 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

Opieka zdrowotna

Karta sportowa

Ubezpieczenie

Płatny urlop

Udziały pracownicze

Premie

Darmowe przekąski

Napoje w biurze

Inne informacje

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności.

EPAM Systems

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