Are you a hands-on engineer who enjoys solving complex problems across cloud, data and AI ?

We’re looking for a Senior Solution Engineer to design, build and operate production-grade cloud-native data and AI solutions using AWS and Snowflake , with strong software engineering at the core.

? What you’ll do

- 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.

• Model, curate and optimise Snowflake datasets, schemas and data structures , ensuring performance, quality, consistency and usability.

- Apply robust 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 and identify opportunities for advanced analytics and AI use cases.

• Use AI-assisted engineering tools as part of everyday development to accelerate coding, refactoring, documentation, testing, debugging and solution exploration.

• Build cloud-native integrations and automation on AWS , including compute, storage, networking, security, orchestration, event-driven architectures and managed AI services.

- Own deployment, release and production operations,



including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer reviews and engineering best practices.

? What we’re looking for

✅ 7+ years of professional experience in hands-on software engineering, solution engineering or data engineering roles.

✅ Deep hands-on experience with AWS , including compute, storage, networking, IAM, security, orchestration, monitoring and serverless/event-driven architectures.

✅ Deep hands-on Snowflake experience, including data modelling, SQL performance tuning, pipeline integration, access control, cost/performance optimisation, data sharing and platform governance.

✅ Strong proficiency in Python and/or Java , with a solid understanding of software design principles, APIs, automated testing, packaging, dependency management and production maintainability.

✅ Experience building and operating production-grade data products, cloud services or AI-enabled solutions .

✅ Solid familiarity with Git, CI/CD, DevOps, infrastructure-as-code, automated testing and production support .

✅ Ability to translate ambiguous business problems into clear technical scopes, delivery plans and measurable outcomes.





✅ Strong collaboration and communication skills, with the ability to work closely with business stakeholders and cross-functional technology teams.

⭐ Good to have

• Amazon Bedrock and other AWS AI services

- Agent-based AI solution patterns
- Retrieval-Augmented Generation (RAG)
- Model evaluation, guardrails and responsible AI
- GitHub Copilot, Claude, Cursor or similar AI-assisted engineering tools
- Harness engineering or similar AI-assisted development concepts
- AWS or Snowflake certifications
- Experience working with sensitive or regulated enterprise data
- Financial-services industry experience

We’re looking for engineers who are hands-on, technically curious and comfortable taking ownership from architecture through production .

? Role Details

? Location: Mumbai

? Work Model: Hybrid – 3 days WFO

? Employment: Full-time

? ? Experience: 7–16 years

⏳ Notice Period: Immediate to 60 days

? Compensation: Approximately ₹30–36 LPA, depending on experience and current CTC

If you’re looking for an opportunity where software engineering, cloud, data and AI come together , we’d love to hear from you.

? Interested? DM us or share your CV along with your current CTC, expected CTC, notice period and current location .

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📌 Senior Solution Engineer – Python | AWS | Snowflake | AI | Mumbai
🏢 Scholastika Knowledge Base Private
📍 Mumbai