Senior Software Engineer Cloud & Data Platform

Wissen Technology; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Wissen Technology in Bengaluru is seeking a Senior Software Engineer to design, build, and optimize cloud-native applications using Python, AWS, and MongoDB. This on-site role collaborates with cross-functional teams to advance modern software architecture and production stability.

You will contribute to scalable backend services, cloud infrastructure, and AI-enabled development practices, while upholding code quality, security, and incident-management standards.

Qualifications

• Education: Bachelors or Masters in Computer Science, Computer Engineering, Information Technology, or a related quantitative field.
• Experience: 3–6 years of hands-on software development experience.

Responsibilities

• Design, implement, and maintain backend microservices and APIs using Python and modern frameworks.
• Ensure code quality, security, and scalability via testing and peer reviews.
• Apply design patterns and OO principles to solve business problems.
• Deploy and manage cloud services on AWS; optimize MongoDB performance.
• Implement CI/CD pipelines and containerization with Kubernetes/Docker.
• Incorporate AI Best Practices into development processes.

Skills

Python

AWS

MongoDB

Kubernetes

Docker

CI/CD

PL/SQL

AI Best Practices

Education

Bachelor's or Master's in CS/CE/IT

Job description

We are seeking a talented Senior Software Engineerto 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

1. Application Architecture & Backend Development

• Design, implement, and maintain high-performance backend microservices and APIs using Pythonand 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.

2. Cloud & Database Infrastructure

• 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/SQLscripts 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 Kubernetesto 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 Managementworkflows 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: Bachelors or Masters 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:
  • Kubernetesand containerization concepts (Docker).
  • Infrastructure deployment with modern CI/CD frameworks.
  • Relational database querying with PL/SQL.
  • Exposure to AI Best Practicesand modern developer tooling.
• Operational Knowledge: Solid operational understanding of Incident Management standards and ITIL best practices.