Position Overview

We are seeking a Staff Software Engineer with deep expertise in .NET , Python , and AWS to lead and influence the development of advanced financial software solutions. As a key technical leader, you will drive architectural decisions, mentor engineering teams, and ensure the delivery of high-quality, scalable software that meets the needs of our clients. This role is ideal for someone with a strong technical foundation and a passion for guiding teams toward success.

Key Responsibilities

• Design, architect, and implement complex, scalable, and secure software solutions using .NET and Python.
• Lead the development and delivery of cloud-native applications on AWS, ensuring high performance and reliability.
• Collaborate with stakeholders to define technical requirements and drive alignment between business and technical goals.
• Mentor and guide engineering teams, fostering a culture of technical excellence and continuous improvement.
• Establish and enforce engineering best practices, including code reviews, testing strategies, and DevOps pipelines.
• Troubleshoot and resolve high-level technical challenges, providing direction and expertise when necessary.
• Stay at the forefront of technology trends to influence innovation and strategic technical decisions.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 7+ years of professional experience in software engineering, with at least 2 years in a leadership or senior technical role.
• Advanced expertise in .NET development (C# preferred) and Python programming.
• Proven experience designing and deploying cloud-based solutions on AWS.
• Strong understanding of system architecture, design patterns, and software engineering principles.
• Experience leading technical teams and mentoring engineers.
• Exceptional problem-solving skills and the ability to make high-impact decisions in a fast-paced environment.

Preferred:

• Experience working in financial services or consultancy organizations.
• Expertise in CI/CD pipelines, DevOps practices, and automation tools.
• Proficiency with databases (SQL Server, PostgreSQL, DynamoDB) and data modeling.
• Strong interpersonal skills and ability to communicate technical concepts to diverse stakeholders.