Staff Software Engineer
Pacifica Continental
Staff Software Engineer
The Staff Engineer is responsible for leading our technical foundation, initially collaborating with the Money - Finance engine teams to drive innovation, with the opportunity to work with other teams as well, taking on a mentoring role, designing scalable systems, and influencing cross-functional initiatives, in a hands-on position where they will make key technical decisions and build critical services.
Responsibilities
- Solve Critical Problems: Identify, prioritize, and solve technical challenges impacting growth.
- Lead and Collaborate: Architect new solutions, implement newer patterns/frameworks that other candidates can use and implement, identify potential systemwide solutions, and guide teams, ensuring solutions meet business goals and technical standards.
- Mentor & Develop: Foster a culture of learning, guiding junior engineers.
- Innovate & Improve: Drive continuous improvement in our platform and processes.
Requirements
- Bachelor's degree in a technical discipline such as computer science, software engineering, or a related field.
- 10+ years of experience as a Software Engineer in a fast-paced, high-growth environment, working with cloud platforms such as AWS, GCP, or Azure.
- Strong expertise in backend development with proficiency in one or more programming languages such as Java, Python, PHP, or similar, as well as both relational and NoSQL databases.
- Solid understanding of distributed systems and system design principles.
- A can-do attitude and creative, flexible problem-solving abilities, with the ability to think critically in ambiguous situations.
- Being a team player, including review, pair programming, collaboration in one task, mentoring or being mentored.
- Strong written and verbal communication skills, with the ability to present technical concepts to non-technical stakeholders.
- Desirable experience with mobile technologies or mobile payment systems, including the fraud and identity aspects of fintech, as well as in building and maintaining large-scale systems used by millions of users.
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