Python AWS Engineer (Prompt Engineering)

PRACYVA; Poland; On-site; PLN 420,000 - 540,000; Full time

Job summary

PRACYVA is seeking a Senior Enterprise Architect to lead SI and Banking domain initiatives with presales experience and AI focus. You will shape technology strategy, governance, and large-scale platform engineering for enterprise clients.

The role requires deep expertise in AI, cloud, microservices, Java/Spring, Kafka, REST, and experience with AWS/Azure/GCP, Databricks or Snowflake, and enterprise integration patterns.

Qualifications

• B.S. or M.S. in Computer Science, Engineering, or a related tech discipline.
• 15+ years in software development, engineering, architecture, or tech leadership.
• 5+ years in a technical leadership role such as Enterprise Architect or similar client-facing role.
• Ability to connect technology strategy to business outcomes and client priorities.
• Deep knowledge of AI-native delivery, GenAI/LLMs, and responsible AI practices.
• Experience applying AI tools in engineering workflows (architecture, coding, testing, DevSecOps, etc).
• Experience defining governance for Agentic AI in regulated environments.
• Knowledge of cloud, containers, Kubernetes, microservices, and API platforms.
• Proficiency in Java, Spring, Kafka, REST services, and secure platform engineering.
• Experience with hyperscalers and platforms like Databricks/Snowflake.

Skills

AI leadership

Presales experience

Enterprise architecting

Client-facing delivery

Cloud platforms

APIs & microservices

Java/Spring

Kubernetes

Observability & reliability

Executive communication

Education

B.S. or M.S. in CS/Engineering

Tools

AWS

Azure

GCP

Databricks

Snowflake

REST

API gateways

Job description

SI and Banking domain is must along with presales experience and AI.

• B.S. or M.S. in Computer Science, Engineering, or a related technology discipline.
• 15+ years of professional software development, engineering, architecture, or technology leadership experience.
• 5+ years in a technical leadership role such as Enterprise Architect, Solution Architect, Account CTO, Platform Architect, or similar client-facing technology leadership role.
• Demonstrated ability to connect technology strategy to business outcomes, commercial impact, delivery feasibility, operational risk, and client executive priorities.
• Strong knowledge of AI-native delivery, GenAI/LLMs, Agentic AI, AI-led engineering, context engineering, prompt engineering, AI guardrails, model evaluation, and responsible AI practices.
• Experience applying AI tools in real engineering workflows, including architecture, coding, modernization, testing, documentation, DevSecOps, productivity measurement, and delivery governance.
• Experience defining governance and control frameworks for Agentic AI or AI-enabled delivery in regulated environments, including auditability, security, privacy, access control, human oversight, compliance, and operational controls.
• Good knowledge of cloud, containers, Kubernetes, cloud-native platforms, microservices, API platforms, integration patterns, and modern distributed systems architecture.
• Knowledgeable in Java, Spring, Kafka, REST services, API gateways, Web API architecture, data platforms, and secure platform engineering.
• Experience with hyperscalers including AWS, Azure, and GCP, and platform ecosystems such as Databricks, Snowflake, SaaS platforms, and enterprise integration platforms.
• Exposure to large enterprise-wide implementations as an architect or senior technology leader.
• Strong experience translating user, functional, technical, nonfunctional, regulatory, security, and operational requirements into solution architecture and execution plans.
• Excellent executive communication skills with the ability to influence client stakeholders, product managers, delivery leaders, engineering teams, QA, security, operations, and business units.
• Demonstrated ability to lead groups of engineers through all phases of major programs, from discovery and design through build, testing, deployment, operations, and continuous improvement.
• Strong understanding of server-side engineering, scalability, performance, resilience, observability, reliability, maintainability, and production support expectations.
• Proven capability and track record in leading advanced technology initiatives, modernization programs, AI adoption, platform engineering, and client-facing innovation programs.
• Ability to capture, track, and reconcile functional and technical requirements across organizations, business units, governance forums, and delivery teams.
• Proven interpersonal, negotiation, facilitation, and stakeholder management skills.
• Ability to relate to people, communicate effectively under pressure, and provide clear direction in complex delivery or client situations.