Senior Solutions Manager

Scholastika Knowledge Base Private Limited; Mumbai; Hybrid; INR 3,000,000 - 3,600,000; Full time

Job summary

Scholastika Knowledge Base Private Limited is seeking a hands-on Senior Solution Engineer to own cloud, data and AI solutions from architecture to deployment. The role spans Java, AWS, Snowflake and modern AI tech in a production-grade environment.

You'll design scalable cloud-native applications, build data pipelines, manage CI/CD and observability, and collaborate with business and technology teams to deliver end-to-end solutions.

Qualifications

• 8+ years of hands-on experience in software, solution or data engineering.
• Deep hands-on AWS experience.
• Strong practical experience with Snowflake.
• Experience building and operating production-grade systems.
• Strong understanding of APIs, testing, CI/CD, DevOps and software architecture.
• Experience with cloud-native integrations and automation.

Responsibilities

• Design and build scalable, secure cloud-native applications and data solutions.
• Develop and optimise data pipelines and data products using AWS & Snowflake.
• Build robust backend solutions using Java and modern software engineering practices.
• Work with AWS services across compute, storage, networking, security, orchestration and event-driven architectures.
• Own deployment, CI/CD, monitoring, troubleshooting and production operations.
• Partner with business and technology teams to turn complex requirements into practical technical solutions.
• Explore and implement AI-enabled engineering and data solutions.

Skills

Java

Tools

AWS

Snowflake

CI/CD

DevOps

Job description

Hiring: Senior Solution Engineer – Java | AWS | Snowflake | AI

Work Model: Hybrid – 3 days/week from office

Notice Period: Immediate to 60 days

We’re looking for a hands‑on Senior Solution Engineer who enjoys solving complex engineering problems and building production‑grade cloud, data and AI solutions.

This is an opportunity to work across Java, AWS, Snowflake and modern AI technologies while owning solutions end‑to‑end—from architecture and development through deployment, observability and production support.

What you’ll work on

• Design and build scalable, secure cloud‑native applications and data solutions
• Develop and optimise data pipelines and data products using AWS & Snowflake
• Build robust backend solutions using Java and modern software engineering practices
• Work with AWS services across compute, storage, networking, security, orchestration and event‑driven architectures
• Own deployment, CI/CD, monitoring, troubleshooting and production operations
• Partner with business and technology teams to turn complex requirements into practical technical solutions
• Explore and implement AI-enabled engineering and data solutions

What we’re looking for

• 8+ years of hands‑on experience in software, solution or data engineering
• Deep hands‑on AWS experience
• Strong practical experience with Snowflake
• Experience building and operating production‑grade systems
• Strong understanding of APIs, testing, CI/CD, DevOps and software architecture
• Experience with cloud‑native integrations and automation

Great to have

• Amazon Bedrock or other AWS AI services
• RAG and agent‑based AI solutions
• Model evaluation and AI guardrails
• GitHub Copilot, Claude, Cursor or similar AI‑assisted development tools
• Experience with AI‑assisted development / harness engineering
• Financial‑services or other highly regulated enterprise environments

We’re particularly interested in engineers who are hands‑on, technically curious and comfortable taking ownership beyond just writing code.

Compensation: ₹30–36 LPA approximately, depending on experience, current compensation and overall fit.

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