Senior Software Engineer – Cloud & Data Platform

Wissen Technology is hiring for Senior Software Engineer – Cloud & Data Platform

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide.

Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time.

Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia.

Our commitment to excellence translates into delivering 2X impact compared to traditional service providers.

How do we achieve this?

Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality.

We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives.

We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more.

Wissen stands apart through its unique delivery models.

Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs.

Wissen leverages its thought leadership and technology prowess to drive superior business outcomes.

Our success is powered by top-tier talent.

Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.

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.

• Location: Bangalore
• Mode of Work: Hybrid

• 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.

• 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.

• 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.

• 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.

• 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.
• 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.
• Operational Knowledge: Solid operational understanding of Incident Management standards and ITIL best practices.

• Website: www.wissen.com
• LinkedIn: https://www.linkedin.com/company/wissen-technology
• Wissen Leadership: Leadership Team | Wissen
• Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
• Wissen Thought Leadership: https://www.wissen.com/articles