Description
Location:Bratislava, SK
About You You are a hands-on lead engineer with a strong ownership mindset who thrives in complex environments. You lead by example, remain actively involved in development, and are comfortable balancing software engineering, technical leadership, architecture, mentoring, and production support responsibilities.
You bring strong engineering fundamentals and are able to understand, evaluate, and contribute across application, data, cloud, and operational domains. While you are not expected to be a deep specialist in every area, you are comfortable working across different technical domains, asking the right questions, quickly building context, and making informed technical decisions that move solutions forward.
You can navigate ambiguity, think critically, make pragmatic decisions, and drive outcomes from concept through production while working effectively with cross-functional global teams.
Key Responsibilities - Contribute production-quality code and remain actively involved in software development.
- Design, develop, enhance, and support enterprise applications using Java and Angular.
- Build and support data processing solutions using Azure Databricks (ADB), Azure Data Factory (ADF), Python, and SQL.
- Provide technical leadership and architectural guidance across application, data, and integration solutions.
- Collaborate with DevOps, Cloud Engineering, and other platform teams to ensure solutions are secure, supportable, and aligned with enterprise standards.
- Evaluate technical trade-offs, identify risks, and guide design decisions with consideration for scalability, maintainability, security, and operational needs.
- Perform code reviews, mentor engineers, and guide technical decisions while considering system dependencies and downstream impacts.
- Support production systems through monitoring, troubleshooting, root cause analysis, and incident resolution.
- Lead technical discussions with stakeholders and translate business requirements into practical technical solutions.
- Contribute during critical production situations and help drive operational stability and continuous improvement.
Required Skills & Experience - Strong ownership mindset with the ability to operate effectively in ambiguous environments and independently drive solutions from concept to implementation.
- Strong software engineering experience with Java and Angular and the ability to contribute across the application lifecycle.
- Experience working with modern data platforms and technologies such as Python, Azure Databricks (ADB), Azure Data Factory (ADF), SQL, or similar technologies.
- Experience designing and implementing application, integration, or data solutions in enterprise environments.
- Ability to make sound architectural and technical design decisions by balancing business, engineering, and operational considerations.
- Strong understanding of software engineering principles, application architecture, integration patterns, and production operations.
- Working knowledge of cloud and DevOps concepts, including CI/CD, secrets management, access controls, and production support practices, with the ability to collaborate effectively with specialist teams.
- Ability to learn new technologies and domains quickly and apply engineering judgment to solve complex problems.
- Experience working with global, cross-functional teams and partnering with product and engineering leadership.
- Interest in financial risk management.
Preferred Qualifications (nice to have)
- Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or a related technical discipline.
- Experience in financial services, financial markets, banking, insurance, reinsurance, or risk management.
- Experience improving operational stability, observability, and performance in production environments.
- Experience working in highly regulated or risk-focused environments.
- Azure or related cloud certifications.
- Experience mentoring engineers and driving technical excellence across teams.
For Slovakia the base salary range for this position is between EUR 3,800 and EUR 6,300 per month (for a full-time role). The specific salary offered considers:
- the requirements, scope, complexity and responsibilities of the role,
- the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience.
In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.
Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.
#LI-Hybrid
About Swiss ReSwiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams, but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data, please review our Data Privacy Statement before applying.
Keywords: Reference Code: 138370
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