Senior Solution Engineer ( Java )

Gravity Infosolutions; Mumbai; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Gravity Infosolutions seeks a Senior Solution Engineer to design, build, and operate scalable cloud-native data and AI solutions using AWS and Snowflake. The role focuses on end-to-end delivery from problem definition through deployment, monitoring, and continuous improvement.

You will design robust data pipelines, curate Snowflake datasets, and ensure performance, security, and governance across data sources, applying strong software engineering practices and CI/CD.

Qualifications

• Strong foundation in software engineering and data solutions.
• Experience with cloud-native data platforms and AI-enabled solutions.
• Ability to design scalable data pipelines and governance.

Responsibilities

• Design, build, and operate cloud-native data and AI solutions end-to-end.
• Develop data pipelines across structured, semi-structured, and unstructured data using AWS and Snowflake.
• Model and optimise Snowflake datasets and schemas for performance and usability.
• Apply best practices in software engineering, testing, CI/CD, and observability.

Skills

Cloud architecture

Data engineering

CI/CD practices

Stakeholder communication

Education

B-Tech/M-Tech/MCA

Tools

AWS

Snowflake

Job description

We are seeking a Senior Solution Engineer with strong software engineering fundamentals and hands-on expertise in AWS and Snowflake to design, build, and operate scalable cloud-native data and AI solutions.

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
• Design and implement reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.
• Model, curate, and optimise Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.
• Apply strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.
• Partner with business and technical stakeholders to translate requirements into robust data solutions, prioritise delivery, and identify opportunities to enable advanced analytics and AI use cases.
• Use AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards.
• Build cloud-native integrations and automation on AWS, making effective use of services such as compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate.
• Own deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns.

Qualifications

• B-Tech, M-Tech, MCA.