Senior Solution Engineer – Python | AWS | Snowflake | AI | Mumbai

Scholastika Knowledge Base Private Limited; Mumbai; Presencial; INR 3.000.000 - 3.600.000; Jornada completa

Descripción de la vacante

Scholastika Knowledge Base Private Limited is seeking a hands-on 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.

You will design data pipelines, model Snowflake datasets, apply secure development practices, and collaborate with stakeholders to translate requirements into robust data solutions and AI use cases.

Formación

• 7+ years of hands-on software engineering/solution/data engineering experience.
• AWS expertise including compute, storage, networking, IAM and serverless architectures.
• Snowflake proficiency: data modelling, performance tuning, governance.
• Strong Python and/or Java with production-grade software engineering practices.
• Experience building and operating data products or AI-enabled solutions.
• Familiarity with Git, CI/CD, DevOps, IaC and production support.

Responsabilidades

• Design, build and operate production-grade cloud-native data/AI solutions end-to-end.
• Create reliable data pipelines across structured, semi-structured and unstructured data using AWS and Snowflake.
• Model and optimise Snowflake datasets and data structures for performance and usability.
• Apply clean code, automated testing, CI/CD, observability and secure development practices.
• Collaborate with stakeholders to translate requirements into robust data solutions.
• Leverage AI-assisted engineering tools and deploy cloud-native integrations on AWS.
• Own deployment, release and production operations including troubleshooting.

Conocimientos

7+ years experience

AWS

Snowflake

Python/Java

CI/CD

DevOps

Herramientas

Git

IaC

Cloud services

Descripción del empleo

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 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 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.
• Strong 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
• 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.

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.

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