Bengaluru Karnataka Software jobs with career gap Jobs – 187 Open Jobs Today

Software Dev Engineer II View Jobs
Swiggy —Bengaluru, Karnataka
- Full-time
- Software development
- AI
- Python
2d
Business System Analyst
CGI —Bengaluru, Karnataka
- Full-time
- Remote
- Computer Science
- Bachelor's degree
- Software development
Quick apply
Computer Scientist ( Python )
Adobe —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Technical Software Program Manager
Astrome Technologies —Bengaluru, Karnataka
- Full-time
- PMP
- C++
- Project management
- Health insurance
Quick apply
Software Development Engineer II
Safe Securities —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
Senior Software Engineer II - Snowflake,API, Data Built Tool(DBT)
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- AWS
- Health insurance
Software Development Engineer II - Data
Safe Securities —Bengaluru, Karnataka
- Full-time
- Computer Science
- System design
- Master's degree
- Health insurance
Software Development Engineer, CAM
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- AWS
.NET React - Fullstack Developer
Capco —Bengaluru, Karnataka
- Azure
- DevOps
- SQL
Quick apply
13d
Agile Scrum Master
XCEL Corp —Bangalore City, Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Engineering
Quick apply
9d
Revenue Operations Technical Analyst
Xactly Corporation —Bengaluru, Karnataka
- Full-time
- Salesforce
- Databases
- Analysis skills
- Commuter assistance
- Health insurance
Staff Software Engineer
Okta —Bengaluru, Karnataka
- Computer Science
- B.Sc
- Java
Sr. Backend Engineer
YipitData —Bengaluru, Karnataka
- Remote
- Azure
- Computer Science
- ERP systems
- Paid time off
Inside Sales Specialist
Newton School —Koramangala I Block, Bengaluru, Karnataka
- ₹5,00,000 - ₹10,00,000 a year
- Full-time
- CRM software
- Sales
- English
- Health insurance
- Food provided
Quick apply
Manager II - IT Automation Engineer
Samsara —Bengaluru, Karnataka
- Computer Science
- AWS
- Bachelor's degree
Staff Regulatory Affairs - Bangalore
Beckman Coulter Life Sciences —Bengaluru, Karnataka
- Full-time
- Remote
- Master's degree
- Project management
- AI
- Paid time off
- Work from home
MS Dynamics CRM-Consultant, Managed Services-DFO&I-Customer
Deloitte —Bengaluru, Karnataka
- Azure
- Research
- Windows
Senior Software Engineer
YipitData (Alternative) —Bengaluru, Karnataka
- Remote
- Azure
- Computer Science
- ERP systems
- Paid time off
Senior Software Engineer
Illumina —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Senior Staff Software Engineer
GE HEALTHCARE —Bengaluru, Karnataka
- Computer Science
- SQL
- AWS

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Software Dev Engineer II View Jobs

Swiggy -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
2 days ago

Qualifications

MCP
Software development
AI
TypeScript
Python

Full job description

Job Profile: Software Development Engineer II

Location: Bengaluru

Years of Experience: 3 - 5

ABOUT THE TEAM & ROLE:

Swiggy is India's largest on-demand platform for food, groceries, and dining. We're one of the few companies where AI meets physical-world execution at scale: predicting demand across 5,000+ dark stores, optimizing millions of deliveries daily, and building agents that operate in real-time with real constraints

About the Role:

Forward Deployed AI Engineers embed with teams across Swiggy to solve their hardest problems using AI. You'll work in small pods, report into the Central AI team, and deploy to where the problems are: supply chain, category ops, marketplace, support, and beyond.

Think of it as being the AI CTO for the domain you're embedded in.

What qualities are we looking for?

Why did availability drop 15% in a zone last week? Build the prediction system that prevents it before it happens.
Ops teams spend 3 days onboarding new catalog items. Can an agent do it in 20 minutes?
The Dineout discovery bot answers questions but doesn't learn from mistakes. Make it self-improving.
Every team wants to build AI products but keeps rebuilding the same infrastructure. Create the foundation they build on.
Prediction agents for availability, inventory, and demand forecasting
MCP servers connecting AI to Swiggy's operational systems
Evaluation frameworks that prove AI impact in production
Self-improving agents that learn from ops feedback loops
Reusable skills and subagent libraries that other teams can deploy
60% embedded with business teams (Instamart, Food, Dineout, Customer Support etc)
40% Central AI: roadmap input, pattern codification, build platform features
Rotation model: ~3 month deployments per domain
Join their standups, map their workflows, find the highest-leverage problems
Ship production systems that handle real traffic. Not decks, not demos.
Package what works into skills and playbooks others can use
Your field learnings directly shape what the Central AI platform builds next
You've built and deployed agentic AI systems in production, not just notebooks or demos
Advanced context engineering, evaluation frameworks, and agent harness patterns
Experience with skills, subagents, tool integration, and orchestration patterns
You understand the gap between "it works locally" and "it works at scale with real latency and cost constraints"
You apply first principles thinking to re-imagine existing workflows in an AI native way.
Claude Code, Cursor, or Codex is your primary environment. You ship faster with AI tools than without.
You think in skills, subagents, and parallel workflows
You can design an agent architecture, implement it, and iterate based on production feedback
You've shipped at least one AI system that moved a real business metric. Not incremental, transformative.
You can show it to us: a repo, a production deployment, metrics before/after, or a recorded demo
You know what it takes to get from prototype to production
2+ years shipping production systems with real traffic, real users, real constraints (exceptional freshers who are AI power users with proof of work will also be considered)
OR: Technical founder / early engineer at a startup with demonstrable AI impact
Trade-off fluency: latency vs accuracy, cost vs reliability, autonomy vs predictability
Strong in Python or TypeScript, LLMs, orchestration frameworks, system design
You translate complex AI concepts to non-technical ops teams
You can lead a discovery session, whiteboard an architecture, and get buy-in in the same meeting
You write clear documentation that becomes the team's playbook
You're comfortable context-switching: ops workflows in the morning, architecture reviews in the afternoon
You find problems worth solving. You don't wait for specs.
You ship when the path isn't clear
You're energized by ambiguity and moving fast in complex environments

What will you get to do here?

Real problems at real scale: Systems that affect millions of orders, thousands of dark stores, and real P&L
Direct access: No layers between you and the teams you're solving for. You see the problem, you ship the fix.
Shape the platform: Your field work defines what the Central AI team builds. Direct input into roadmap and architecture decisions.
Founder-like ownership: You're essentially the CTO of AI for your embedded domain
Career leverage: FDE is the fastest path to becoming a technical leader who understands both AI and operations at scale

Visit our tech blogs to learn more about some of the challenges we deal with:

https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6

https://bytes.swiggy.com/swiggy-distance-service-9868dcf613f4

https://bytes.swiggy.com/the-tech-that-brings-you-your-food-1a7926229886

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

Apply Now

Refine Your Search

software jobs with career gap jobs in bengaluru karnataka

Software Dev Engineer II View Jobs

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