Senior Python Engineer

Experience

• 8-12+ years of professional software engineering experience, with significant hands-on expertise in Python development.
• Proven experience delivering enterprise applications through multiple full software development life cycles.
• Strong experience developing large-scale backend systems in cloud and enterprise environments.
• Experience working in Agile delivery teams using Scrum or Kanban methodologies.
• Experience collaborating with global teams and stakeholders across multiple locations.
• Strong analytical, communication, and stakeholder management skills. Key Responsibilities
• Design, develop, and maintain robust, scalable, and secure Python-based applications.
• Build and support backend services, RESTful APIs, microservices, and data processing solutions.
• Translate business requirements into scalable technical solutions and software designs.
• Develop reusable components, frameworks, and libraries to improve engineering efficiency and consistency.
• Participate in architectural discussions and contribute to technology strategy and solution design.
• Ensure high software quality through code reviews, automated testing, and engineering best practices.
• Optimize application performance, reliability, availability, and scalability.
• Collaborate with cross-functional teams including Architecture, Infrastructure, Security, Business Analysis, and Product Management.
• Support CI/CD implementation and automation across development and deployment processes.
• Contribute to production support activities, root cause analysis, and continuous service improvement.
• Mentor junior engineers and promote engineering excellence across the team. Mandatory Technical Skills Python Development
• Strong commercial experience developing software solutions using Python.
• Proven experience building backend services, RESTful APIs, microservices, and data processing pipelines using Python.
• Strong understanding of Python software engineering principles, including:
• Object-Oriented Programming (OOP)
• Design Patterns
• SOLID Principles
• Clean Code Practices
• Experience with modern Python frameworks such as Flask, FastAPI, Django, or equivalent.
• Experience developing scalable and maintainable applications in cloud or enterprise environments.
• Strong understanding of software architecture, system design, and distributed systems concepts.
• Experience implementing asynchronous processing, messaging, and event-driven architectures.
• Strong debugging, troubleshooting, and performance optimization skills. Database & Data Engineering
• Experience working with relational and/or NoSQL databases.
• Strong understanding of data modeling and database design principles.
• Proven ability to write efficient and optimized SQL queries.
• Experience designing and implementing scalable data persistence solutions.
• Familiarity with ORM frameworks and database access patterns.
• Understanding of data integration, ETL processes, and data pipelines is advantageous. DevOps & Software Quality
• Familiarity with Git-based development workflows and branching strategies.
• Experience using Azure DevOps, GitHub, GitLab, or similar source control and development platforms.
• Strong understanding of CI/CD pipelines and DevOps practices.
• Experience implementing automated testing strategies including:
• Unit Testing
• Integration Testing
• End-to-End Testing
• Test Automation Frameworks
• Experience working with build automation and deployment pipelines.
• Knowledge of software quality practices, code reviews, static code analysis, and secure coding standards. Cloud & Platform Engineering
• Experience developing and deploying applications in cloud environments.
• Understanding of containerization technologies such as Docker and Kubernetes.
• Knowledge of cloud-native architecture principles and microservices-based systems.
• Experience integrating applications with enterprise platforms and external services. Agile Delivery & Collaboration
• Experience delivering software within Agile environments using Jira methodologies.
• Ability to work effectively in cross-functional and globally distributed teams.
• Strong understanding of SDLC methodologies and engineering governance practices.
• Experience participating in sprint planning, backlog refinement, estimation, and retrospectives. Core Competencies
• Strong problem-solving skills with the ability to analyse complex technical challenges and deliver practical, scalable solutions.
• Ability to take ownership of workstreams and deliver outcomes with minimal supervision.
• Excellent communication and stakeholder management skills.
• Ability to communicate technical concepts effectively to both technical and non-technical audiences.
• Strong customer focus and commitment to delivering high-quality software solutions.
• Continuous learning mindset with passion for emerging technologies and engineering excellence.
• Strong collaboration, leadership, and mentoring capabilities. Preferred Skills
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience with Docker, Kubernetes, and container orchestration.
• Experience with messaging technologies such as Kafka, RabbitMQ, or Event Hubs.
• Understanding of security best practices and authentication mechanisms (OAuth2, SSO, JWT).
• Experience working in Banking, Financial Services, or other highly regulated industries.
• Familiarity with observability and monitoring tools such as Grafana, Prometheus, ELK, or Splunk.