Bengaluru Karnataka React js developer with 2 years Jobs – 121 Open Jobs Today

Engineering Manager - Agentic AI & SaaS
Nutanix —Bengaluru, Karnataka
- Full-time
- Management
- Computer Science
- B.Sc
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Software Architect
Nextuple —Bengaluru, Karnataka
- Email
- Azure
- Inventory management
- Java
Senior Software Engineer
Halliburton —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
Sr. Systems Analyst
Polaris Inc. —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Customer service
Manager Software Development
Shazab Tech Solution —Bengaluru, Karnataka
- Full-time
- System design
- Java
- AWS
Engineering Lead
ANSRSource India —Bengaluru, Karnataka
- Full-time
- Hybrid work
- System design
- Java
- SQL
Principal Engineer (Agentic AI)
Yubi —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Lead Software Engineer
Nextuple —Bengaluru, Karnataka
- Email
- Azure
- Oracle
- Engineering
Sr AEM Lead
NTT Ltd —Bengaluru, Karnataka
- Azure
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Software Engineer III –Native IOS and React Native Developer
Candescent (Digital First Holdings LLC) —Bengaluru, Karnataka
- Full-time
- Computer Science
- Software troubleshooting
- B.Sc
Quick apply
Software Engineer III – React Native dev+ Basics of Native Android
Candescent (Digital First Holdings LLC) —Bengaluru, Karnataka
- Full-time
- Computer Science
- Software troubleshooting
- B.Sc
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Software Engineer - Sr.Consultant Level - Python, React, GenAI Architecture
Visa Consolidated Support Services (India) Private Limited - Tech Unit —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
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Engineering Manager - Agentic AI & SaaS

Nutanix -
Bengaluru, Karnataka

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Job details

Full-time
6 days ago

Qualifications

CI/CD
Backbone.js
Go
Management
Law
Computer Science
Cassandra
MCP
React
Kubernetes
B.Sc
Java
Master's degree
C++
C
Bachelor's degree
NIST standards
JavaScript
Distributed systems
Continuous integration
Scrum
Software development
Agile
SaaS
AI
Leadership
Communication skills
Python

Full job description

Job Title: Engineering Manager (Agentic AI & SaaS)

About the team

The Nutanix Core Security engineering team focuses on building secure hybrid cloud platforms. This team is responsible for developing customer facing security functionalities and core platform security services. We own multiple areas that help to improve product security postures and values on AOS (NCI) and Prism Central (PC) Platforms. It has been great working closely with both internal X-functional teams and external solution partners in solving complex product security issues. We work closely with PM team to align our security features with NIST Cybersecurity Framework. Learn more about Nutanix.

What the Team Says

We are not short of new technologies in our tech stack viz., Kubernetes, Cassandra, GoLang, Backbone JS, React, Playwright etc.
We use AI tools for development and testing and are exploring new AI security features.
We are not too big of a team in size, but tackling some of the biggest challenges around security in our product.
We follow the Agile model while running bi-weekly sprints and weekly scrums.
We are a group that is always enthusiastic to learn, adjusts plans from learnings and delivers product features with great quality.
Last, but never the least, we love to have fun and truly strive to uphold Nutanix culture and beliefs.

Role Summary
We are seeking a hands-on, people-first Engineering Manager to lead, coach, and grow a cross-functional squad of Software Developers and QA Engineers. As a first-line manager, you will bridge the gap between technical execution and career development while driving daily engineering excellence. You will balance direct people management with active technical contribution—participating in architectural designs, personally contributing to feature development, and designing system-level AI workflows. You will guide the team from basic LLM integration to advanced, production-grade Agentic AI architectures, utilizing modern tools like the Model Context Protocol (MCP) to solve complex business problems.

Roles and Responsibilities

Team Leadership & People Management

Empower & Grow: Lead a dedicated squad of developers and QA engineers, establishing a culture of psychological safety, high performance, and continuous technical growth.
Direct Talent Pipeline: Own the complete talent lifecycle for your direct reports, including technical coaching, regular performance evaluations, and personalized career path planning.
Agentic Upskilling: Upskill the team in modern AI engineering workflows, helping engineers responsibly integrate AI-assisted coding tools while leading by example in architectural planning and task decomposition.

Product, Technical & Feature Development

Collaborative Roadmap: Partner with Support, and Customer Success to translate business goals into clear, actionable technical roadmaps.
Hands-on Feature Delivery: Actively participate in core feature development and code contributions alongside the team, leading by example to maintain delivery velocity and high code quality.
Agentic Architecture: Design and deploy resilient, scalable, production-grade AI applications using specialized AI agents and multi-agent orchestration patterns (e.g., LangGraph, CrewAI, or AutoGen).
Context Engineering & Integration: Implement Model Context Protocol (MCP) servers to standardise secure, dynamic tool calling and real-time context management between your agent fleets and external enterprise data/infrastructure.
Pragmatic Problem Solving: Dive deep into code and infrastructure to troubleshoot production incidents, manage technical debt, and stand up evaluation harnesses to prevent agent drift.

Engineering & Release Excellence

Agile Execution: Establish software development best practices and optimize the team's sprint planning to ensure predictable, iterative, and rapid feature deployment.
Global Coordination: Streamline release management processes, coordinating seamlessly with cross-functional and geographically distributed teams.
Operational Oversight: Ensure timely and high-quality software releases by implementing robust monitoring, testing automation, and cloud-native CI/CD pipelines.

Skills & Qualifications

Education: BA, BS, or MS degree in Computer Science, Engineering, or a related technical stream.
Industry Experience: 10–12+ years of total experience in software development, with a strong foundational track record as an individual contributor.
Leadership Experience: 2–4+ years of dedicated experience as a first-line engineering manager directly managing engineering teams.
Hands-On Coding & Execution: Proven willingness and ability to remain hands-on, writing high-quality code and delivering product features alongside individual contributors.
AI & Agentic Engineering: Hands-on experience developing AI applications, with deep familiarity in tool calling, planning/reasoning loops (ReAct), and configuring Model Context Protocol (MCP) environments.
Core Tech Stack: Professional development experience in one or more core languages (e.g., Python, Golang, Java, C, C++).
Cloud & Distributed Systems: Proven experience designing, building, and monitoring large-scale distributed microservices on public or private clouds.
Containerization: Hands-on experience developing and deploying applications/services using Kubernetes.
SaaS & Agile Fluency: Deep understanding of SaaS delivery models and strong working experience running high-velocity Agile/Scrum environments.
Communication: Exceptional written and oral communication skills, with the ability to translate technical "AI speak" into clear business value for stakeholders.

Apply Now

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