Python Developer

Wissen Technology; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Wissen Technology in Bengaluru on-site is seeking a Senior Software Engineer to design, build, and optimize cloud-native applications using Python, AWS, and MongoDB. You will collaborate with cross-functional teams to drive modern software architecture and production stability through incident management.

You will develop backend microservices, implement CI/CD pipelines, and apply Kubernetes-based deployment strategies, with a focus on scalable, resilient systems and AI-enabled development

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related quantitative field.
• Experience: Minimum 3 years to maximum 6 years of hands‑on software development experience.

Responsibilities

• Design, implement, and maintain backend microservices and APIs using Python.
• Ensure code quality, security, and scalability through comprehensive unit/integration testing and peer code reviews.
• Apply design patterns and object-oriented programming principles to solve complex business problems.
• Deploy, configure, and manage cloud services on AWS (e.g., EC2, S3, Lambda, ECS/EKS, API Gateway).
• Model NoSQL data structures, optimize indexing, and tune query performance in MongoDB.
• Manage relational data components using PL/SQL scripts and stored procedures where hybrid relational databases are integrated.

Skills

Python

AWS

MongoDB

Kubernetes

CI/CD

Docker

PL/SQL

AI Best Practices

Incident Management

Unit Testing

Education

Bachelor's degree

Master's degree

Tools

Jenkins

GitHub Actions

GitLab CI

Docker

Kubernetes

Job description

We are seeking a talented Senior Software Engineer to join our engineering team in Bengaluru. Operating on-site, the successful candidate will design, build, and optimize scalable, resilient, cloud-native applications utilizing Python, AWS, and MongoDB. You will collaborate closely with cross-functional development, data, and infrastructure teams to champion modern software architecture, incorporate AI best practices, and contribute to production stability through structured incident management principles.

Key Responsibilities & Duties

• Design, implement, and maintain high-performance backend microservices and APIs using Python and modern framework standards.
• Ensure code quality, security, and scalability through comprehensive unit/integration testing and peer code reviews.
• Apply design patterns and object-oriented programming principles to solve complex business problems.
• Deploy, configure, and manage cloud services on AWS (e.g., EC2, S3, Lambda, ECS/EKS, API Gateway).
• Model NoSQL data structures, optimize indexing, and tune query performance in MongoDB.
• Manage relational data components using PL/SQL scripts and stored procedures where hybrid relational databases are integrated.

3. CI/CD, Containerization & AI Integration

• Implement continuous integration and deployment pipelines using modern CI/CD frameworks (e.g., Jenkins, GitHub Actions, GitLab CI).
• Leverage container orchestration tools like Kubernetes to streamline application deployments and maintain cloud resilience.
• Incorporate AI best practices (e.g., AI-assisted development tools, prompt engineering, or LLM-driven pipelines) into software development processes.

4. Operational Support & Incident Management

• Actively participate in Incident Management workflows to investigate, triage, and resolve production outages.
• Conduct Root Cause Analysis (RCA) for critical technical issues and implement long-term preventive remediation.

Qualifications & Requirements

Education & Technical Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related quantitative field.
• Experience: Minimum 3 years to maximum 6 years of hands‑on software development experience.

Core Skill Requirements

• Primary Technologies: Advanced proficiency in Python, practical cloud experience with AWS, and database engineering in MongoDB.
• Good to Know Skills:
• Kubernetes and containerization concepts (Docker).
• Infrastructure deployment with modern CI/CD frameworks.
• Relational database querying with PL/SQL.
• Exposure to AI Best Practices and modern developer tooling