Sobre el papel
Ubicación
Rumania
Bucuresti
- País/Región: Portugal
- Estado/Provincia/Condado: Lisbon
Remoto u Oficina
Híbrido (Remoto/ Oficina)
Empresa
Siemens Energy S.r.l.
Organización
EVP Global Functions
Unidad empresarial
Enterprise Data & Advanced Analytics
Tiempo completo/parcial
Jornada completa
Nivel de experiencia
Profesional Experimentado
A Snapshot of Your Day
Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Data Analytics & AI team plays a significant role in driving the energy transformation.
Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.
How You’ll Make an Impact
- Onboard new application use cases in AWS Cloud
- Develop AWS infrastructure architectures and deploy the architecture as IaC (Infrastructure as code) on AWS cloud.
- Develop (coding) PoC / MVP using CDK and Gitlab CI
- AWS Platform Administration (networking, Security, Authorization & Authentication with Azure AD, and other core AWS infrastructure service).
- Consultancy with other stakeholder regarding AWS solutions, designing and developing architectures. DevOps and Programming
- Facilitate Test automation and deployment of the code base to the production environment
What You Bring
- Bachelor’s degree in one of the following fields: Computer science, mathematics, engineering, or related. A master’s degree is considered a plus
- More than 5 years of hands on experience in AWS Infrastructure development and DevOps and preferably AWS DevOps Engineer Certification or AWS Certified Sys Ops Administrator and working experience of 5+ years
- Experience in developing, implementing, maintaining, and operating CI CD (Continuous Integration and Continuous Development) pipeline following the DevOps process. (Git Lab CI) as well as strong knowledge in Containerization and Kubernetes
- Hands-on experience in developing infrastructure as code with AWS Cloud Formation Templates (CDK is a bonus) as well as strong programming experience in Python and Java
- Hands-on development experience in Python and Linux administration
- Experience in working with JIRA and Confluence and Agile deliver model
- Result-driven as well as excellent interpersonal, communication, and collaborative skills
- Fluent in both spoken and written English
About the Team
Check out this video to learn more about Siemens Energy: https://bit.ly/3hD9pvK
Who is Siemens Energy?
The Data & Analytics organization has been established and designed to help Siemens Energy achieve our mission by becoming a data driven organization. Treating and using data as a strategic asset enables us to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 92,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
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