Senior Software Engineer (Python)

Executive recruitment company Monroe Consulting Group is recruiting on behalf of a confidential, well-established FinTech company that is building scalable, cloud-native platforms supporting mission-critical products used at scale.

This role focuses on designing, building, and owning robust backend services using Python in a modern cloud environment. The successful candidate will work closely with cross-functional teams to translate product requirements into well-architected, scalable solutions, while setting a high bar for code quality, performance, and operational excellence. The position offers strong technical ownership, exposure to cloud architecture, and the opportunity to influence engineering best practices.

Key Responsibilities

• Design and implement scalable backend services and APIs using Python.
• Translate business and product requirements into pragmatic system designs, including APIs, workflows, and data models.
• Own features end-to-end, from technical design through production deployment, monitoring, and optimization.
• Build and maintain services in cloud environments (AWS, Azure, or GCP), with attention to reliability, performance, and cost efficiency.
• Identify and resolve performance bottlenecks across application, database, and infrastructure layers.
• Apply secure coding practices and ensure APIs and services meet security and compliance standards.
• Contribute to and improve CI/CD pipelines, deployment strategies, and operational tooling.
• Participate in code reviews, mentor junior engineers, and contribute to raising overall engineering standards.
• Proactively manage technical debt and identify delivery risks, implementing mitigation plans early.

Key Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
• 4–7 years of experience developing and supporting production-grade backend systems.
• Strong hands-on experience with Python in building scalable backend or distributed systems.
• Proven experience working with cloud platforms such as AWS, Azure, or GCP.
• Solid understanding of backend architecture, API design, microservices, and domain-driven design concepts.
• Experience with database design, indexing strategies, and query optimization.
• Familiarity with caching mechanisms (e.g., Redis, in-memory caching, TTL strategies).
• Experience with asynchronous and event-driven systems (queues, streams, background workers).
• Understanding of CI/CD pipelines, source control, deployment workflows, and versioning strategies.
• Ability to work effectively within existing architectures, including legacy systems and active production environments.
• Strong problem-solving skills, structured thinking, and the ability to communicate technical decisions clearly.
• Collaborative mindset with a willingness to mentor, accept feedback, and continuously improve.

Preferred

• Exposure to AI-assisted development tools to improve coding efficiency and code quality.
• Experience building automation or scripts to support monitoring, incident response, and operational support.
• Interest in applying automation or intelligent tooling to improve system reliability and troubleshooting.