Project Role : Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Google Cloud Platform Architecture
Good to have skills : Google Cloud Machine Learning Services
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Packaged or Software as a Service Application Engineer, a typical day involves configuring and supporting packaged or Software as a Service applications to tailor features according to evolving business requirements. The role includes managing application releases to ensure smooth deployment and maintaining system stability to provide uninterrupted service. The engineer works with standard tools, application programming interfaces, and low-code platforms to align technical solutions with organizational goals while ensuring compatibility and optimal performance across systems. Collaboration with various teams to address operational challenges and continuous improvement of application functionality is also a key part of the daily routine.

Roles & Responsibilities:





- Expected to perform independently and become a subject matter expert.
- Required active participation and contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to gather requirements and implement application enhancements.
- Monitor application performance and troubleshoot issues to maintain high availability.
- Document configuration changes and maintain knowledge base for future reference.
- Assist junior team members by sharing knowledge and providing guidance on best practices.

Professional & Technical Skills:

- Must To Have Skills: Proficiency in Google Cloud Platform Architecture.
- Positive To Have Skills: Experience with Google Cloud Machine Learning Services.
- Strong understanding of cloud infrastructure and deployment models.
- Experience with application programming interfaces and integration techniques.
- Familiarity with low-code development platforms and their application in enterprise environments.
- Ability to analyze system performance and implement optimization strategies.

Additional Information:

- The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

15 years full time education

📌 Packaged/SaaS Application Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru