Staff Software Engineer - Python+React

Miejsce pracy: Poznań

Technologies we use

Expected

Python
React
Java
JavaScript
TypeScript
AWS
GitHub Actions
Docker
Kubernetes
Terraform
SAP HCM
ADP Global View
Databricks

Optional

SAP SuccessFactors

Operating system

Windows

About the project

Due to the development of John Deere Polska Business Service Center in Poznań we are currently seeking candidates for the position of:

Staff Software Engineer - Python+React

Your responsibilities

Serve as a technical leader for the Global Payroll engineering team, shaping architecture, engineering standards, code reviews and delivery approaches for scalable, secure, and maintainable software solutions.
Partner with product managers, architects, engineers, and business stakeholders to translate complex business needs into outcome-driven technical solutions, delivery plans, and measurable engineering priorities.
Lead integration and software development activities around ADP Global View and SuccessFactors.
Participate in discussions with the Scrum teams to develop technical solutions to satisfy business requirements related to HR/Payroll using SAP HCM technology.
Lead and guide our business partners in finding and implementing the E2E integration setup between SuccessFactors and ADP Global View Payroll.
Lead design discussions regarding applications, APIs, integrations, data flows, and distributed systems, balancing reliability, security, performance, cost, and long-term maintainability.
Work effectively with cross-functional teams to conceptualize products and services, leveraging data to drive original design ideas and decisions.
Raise engineering quality through hands-on technical coaching, code reviews, pairing, testing strategy, reusable patterns, and modern software development practices.
Advance DevOps and platform engineering practices, including CI/CD, infrastructure as code, automated testing, observability, secure deployment patterns, and reliable production operations.
Monitor, identify, and correct the most-complex software defects to maintain fully functioning applications software.
Use modern engineering tools, including AI-assisted development capabilities where appropriate, to improve developer productivity, accelerate problem solving, and strengthen software quality while applying sound engineering judgment.

Our requirements

7 or more years of professional software engineering experience designing, building, testing, deploying, and supporting complex production applications.
Strong proficiency in at least one modern programming language commonly used for enterprise software development, such as Java, JavaScript/TypeScript, Python, or similar.
Demonstrated experience with software architecture and system design, including APIs, event-driven or integration patterns, distributed systems, data modeling, scalability, resiliency, and maintainability.
Experience building and operating solutions using services from AWS.
Experience with DevOps and platform engineering practices, including Git-based workflows, CI/CD pipelines, automated testing, containerization, infrastructure as code, and environment automation using tools such as GitHub Actions, Docker, Kubernetes, Terraform, or similar.
Working knowledge of secure software development practices, including identity and access management, secrets management, vulnerability remediation, dependency management, and security controls built into delivery pipelines.
Experience improving production reliability through monitoring, logging, tracing, observability, incident response, root cause analysis, and continuous improvement.
Ability to provide staff-level technical leadership across teams by influencing architecture, mentoring engineers, reducing technical debt, and making pragmatic tradeoffs across speed, quality, security, and sustainability.
Good understanding in HR/LR, Time- and Payroll processes.
Experience with identifying reporting needs / setting up Databricks / EDL.
Very strong interpersonal communication, negotiation, and conflict resolution skills in English.
Openness to work with global Product teams.
Experience with solution implementations incorporating AI Tech Stack.

Optional

Working knowledge of SAP SuccessFactors global platform.
Proven experience with building reusable and scalable platform capabilities.
Experience modernizing legacy applications, reducing technical debt, improving maintainability, and evolving applications toward cloud-native or modular architectures.
Hands on experience with AI agents or A2A frameworks.
Experience applying AI-assisted engineering tools, coding assistants, or agent-based automation responsibly to improve delivery speed, code quality, documentation, testing, or developer workflows.
Strong coaching mindset with a demonstrated ability to mentor engineers, influence technical direction without formal authority, and build alignment across product, architecture, security, and operations partners.
Experience collaborating with multiple business stakeholders to provide information technology solutions.
Experience configuring and implementing system execution/quality monitoring tools.
Proven experience in adapting to the change management principles like Lean Service management.
Continuous learning mindset with curiosity about emerging software engineering practices, AI-enabled development, secure delivery, cloud services, and developer productivity improvements.
Bachelor's degree in IT, Computer Science, Computer Engineering or equivalent experience in a related career field.

What we offer

Employment contract.
Strong support for work-life balance, including flexible working hours (start time between 7:00 and 10:00 AM) and a hybrid work model at Business Garden in Poznan.
Opportunities for professional development within the company, with strong support for internal career growth.
Employee referral program.
Additional vacation days based on length of employment.
Holiday allowance when taking at least 2 weeks off.
Daily use of a foreign language in a friendly international working environment.
Private medical care, life insurance, a sports card, meal allowance, language courses, a social fund budget, and various additional fun events in our office.
Free access to our e-learning platform, featuring over 1,000 courses, including offerings from LinkedIn Learning and Coursera.

Benefits

sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
flexible working time
fruits
integration events
computer available for private use
saving & investment scheme
corporate library
video games at work
coffee / tea
parking space for employees
extra social benefits
holiday funds
sharing the costs of holidays for kids
employee referral program
charity initiatives
family picnics

Recruitment stages

Technical Interview
Behavioral Interview

Please attach an English version of your CV.

John Deere Polska Sp. z o.o.

There are over 8 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez JOHN DEERE POLSKA sp. z o.o. z siedzibą w: Poznańska 1 B, 62-080 Tarnowo Podgórne (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu.
Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania. Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji. Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych. Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych. Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany. Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach. W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: TalentAcquisitionR2@JohnDeere.com.

Staff Software Engineer - Python+React

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