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Software Engineering SMTS

Software Engineering SMTS

griddable.io

5 years

0 Lacs

greater hyderabad area

Posted:6 days ago| Platform:

Apply

Skills Required

software engineering data power salesforce stack design analytics ml signal layers discovery graphs drive spark kafka testing support analysis ai strategy metrics aws iam containerization collaborator

Work Mode

On-site

Job Type

Full Time

Job Description

Description

About the Role

We’re building the

product data platform

that will power Salesforce’s next era of

agentic intelligence

— delivering smarter, adaptive, and self-optimizing product experiences.As a

Full-Stack Data Engineer

, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents.

You’ll Work On

Near real-time and batch telemetry pipelines for trusted signal capture
Semantic layers and data products for reusable insights
Programmatic discovery via metadata, MCP, and knowledge graphs

This isn’t a typical data engineering role. We’re looking for

creative, systems-minded engineers

working outside of the “data engineer” box, fluent in both

data and AI

, and excited to navigate ambiguity, cross boundaries, and drive real impact.

What You’ll Do

Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT
Design programmatic consumption layers to make product signals easy to define, discover, and reuse
Apply software engineering best practices to data systems: testing, CI/CD, observability
Evolve systems to support not just human analysis, but autonomous agent reasoning
Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products
Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders

What We’re Looking For

5+ years of experience in data engineering, with strong software engineering fundamentals
Expertise with big data frameworks: Spark, Trino/Presto, DBT, Snowflake
Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions)
Solid understanding of semantic layers, data modeling, and metrics systems
Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization
Bonus: fluency in AI data engineering patterns and tools like MCP
Bonus: experience with knowledge graphs and modern metadata systems
Strong communicator and collaborator — comfortable working across teams and domains
Curious, pragmatic, and impact-driven mindset

Why Join Us

Help shape how Salesforce leads the

digital labor revolution

. You’ll be at the heart of transforming raw product signals into intelligent decisions — for everyone from engineers to sales reps to AI agents. If you’re excited to design

resilient, trusted, and intelligent systems

at scale, we’d love to hear from you.

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Software Engineering SMTS

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Description

About the Role

product data platform

agentic intelligence

Full-Stack Data Engineer

You’ll Work On

creative, systems-minded engineers

data and AI

What You’ll Do

What We’re Looking For

Why Join Us

digital labor revolution

resilient, trusted, and intelligent systems

More Jobs at griddable.io