Middle/ Senior Python Engineer

SoftServe

Polska

Híbrido

PLN 90 000 - 130 000

Tempo integral

Há 5 dias
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Vantagens oferecidas por esta oferta de emprego

Health coverage
Paid time off
Learning opportunities
Wellness support

Resumo da oferta

SoftServe seeks an experienced Python backend engineer to build and evolve serverless Python services on AWS, shaping engineering standards and mentoring teammates. You will own features from design through production, applying AI-assisted development to accelerate delivery.

You will design event-driven microservices, implement robust testing, and ensure observability and quality across deployments, while collaborating across teams in a flexible, hybrid work environment.

Qualificações

  • 5+ years of professional Python development experience.
  • Hands-on experience with AWS Lambda and serverless tech.
  • Strong knowledge of event-driven architecture and messaging.
  • Experience with Terraform and GitLab CI/CD pipelines.
  • Ability to mentor teammates and apply SOLID, KISS, DRY.
  • Familiarity with AI-assisted development tools.

Responsabilidades

  • Design, develop, and maintain event-driven microservices and AWS Lambda functions.
  • Build reliable asynchronous integrations using SQS, EventBridge, and MSK.
  • Model and optimize data in DocumentDB or MongoDB-compatible databases.
  • Own features through design, implementation, testing, deployment, and production support.
  • Create unit, integration, and BDD test coverage using pytest and behave.
  • Provision infrastructure with Terraform and maintain CI/CD pipelines.
  • Establish observability with logs, metrics, traces, dashboards, and alarms.
  • Review code and mentor engineers, using AI-assisted tools responsibly.

Conhecimentos

Python development
AWS Lambda
Event-driven architecture
Cloud architecture
Code reviews / mentoring
CI/CD pipelines
Testing (pytest, behave)

Ferramentas

Poetry
Pydantic
AWS Lambda Powertools
Terraform
GitLab CI/CD
GitHub Copilot
MSK / Kafka
DocumentDB / MongoDB

Descrição da oferta de emprego

Build and evolve Python backend services and event-driven applications on AWS serverless infrastructure. You will own features from design through production, shape engineering standards, and mentor teammates while using AI-assisted development to accelerate delivery. This role combines hands‑on coding, cloud architecture, quality ownership, and technical leadership.

RESPONSIBILITIES
  • Design, develop, and maintain event-driven microservices and AWS Lambda functions using Python 3.12, Poetry, Pydantic, and AWS Lambda Powertools.
  • Build reliable asynchronous integrations across Amazon SQS, EventBridge, and Amazon MSK, including error handling, retries, and idempotency.
  • Model, query, and optimize application data in Amazon DocumentDB while maintaining data integrity and service performance.
  • Own features throughout their lifecycle, from technical design and implementation to testing, deployment, monitoring, and production support.
  • Create unit, integration, and BDD test coverage using pytest and behave, applying SOLID, KISS, DRY, and maintainable design patterns.
  • Provision AWS infrastructure with Terraform and maintain GitLab CI/CD pipelines, quality checks, hooks, and automated deployments.
  • Establish observability through structured logging, metrics, distributed tracing, dashboards, and alarms in Amazon CloudWatch.
  • Review code, mentor engineers, and use GitHub Copilot, reusable instructions, agents, and MCP integrations responsibly to improve delivery.
REQUIREMENTS
  • 5+ years of professional Python development experience, including strong knowledge of Python 3 and modern packaging practices such as Poetry.
  • Hands‑on experience building production services with AWS Lambda and other serverless AWS technologies.
  • Strong understanding of event‑driven architecture and messaging with SQS, EventBridge, Kafka, or Amazon MSK.
  • Experience with document databases, ideally Amazon DocumentDB or MongoDB-compatible technologies.
  • Practical knowledge of automated testing with pytest, integration testing, and BDD frameworks such as behave.
  • Experience provisioning cloud infrastructure with Terraform and maintaining GitLab CI/CD pipelines.
  • Ability to implement production observability using structured logs, metrics, traces, dashboards, and alarms.
  • Practical experience using AI coding assistants, agent workflows, or MCP integrations, with disciplined review of AI-generated code.
  • Strong ownership, code‑review, communication, and mentoring skills, with a focus on secure and maintainable engineering.

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.

About us

We are a digital engineering and technology consulting company where expertise grows alongsidepeople. For more than 30years, we have been elevating technology: helping organizations navigate complex businesschallenges by combining deepengineering knowledge with thoughtful, research-backed innovation. Our teams work across keyareas: digitalengineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalablesolutions rooted in realbusiness needs and measurable human impact.

You bring your perspective and ambition. We create an environment where your work meetsclarity, confidence, andpurpose.

We offer

Work from home, from the office, or in a hybrid format that supports focus andcollaboration.

Competitive, market-based pay, benchmarked by role andlocation — plus health coverage, paid time off, wellness support, and learningopportunities.

Approachable leaders who communicate openly, keep teams close to the strategy, andsupport long-term planning.

Advanced tech communities

Stay close to AI/ML, Cloud, Quantum Computing, IoT, andRobotics communities, with projects built on modern frameworks.

More opportunities available

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