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Senior Full Stack Engineer (Backend-Leaning) - GoLang | Multi cloud Network (5-7 years)
Bangalore, India
·
On-site
·
Full-time
·
5d ago
Meet the Team
The Multicloud Network (MCN) team builds a multi-tenant cloud-to-cloud and site-to-cloud networking service delivered through the Meraki Dashboard and MCN APIs. We own backend services like Cloud Discovery and v PoP Writer that connect customer policy and connectivity definitions to data plane configuration across regions. We run an AI-first workflow across architecture, development, testing, and operations, and build internal AI tooling (agents, MCP servers, automations) to move faster. Our work sits at the center of a larger system that spans the Dashboard, backend services, and data plane infrastructure. We operate under Cisco's Responsible AI Framework, with human review, security controls, and cost-aware usage as standard practice.
Your Impact
Design and operate backend services that continuously discover cloud resources and map network topology to keep customer views accurate. Build reliable configuration distribution workflows for regional v PoPs so data plane policy stays consistent and secure. Improve system performance, availability, and scalability to support enterprise customers across many clouds and deliver end-to-end features in the Meraki Dashboard. Apply AI-assisted development, testing, and operations workflows to move faster while keeping human review in the loop. Strengthen compliance and security by maintaining high test coverage, safe dependency update practices, and responsible AI controls.
Minimum Qualifications
- 5+ years of professional software development experience.
- Experience building backend services in Golang.
- Experience integrating with at least one major cloud provider (AWS, Azure, GCP, OCI, or similar).
- Experience designing data models and working with relational databases (PostgreSQL or similar).
- Experience building and maintaining automated tests in production codebases.
Preferred Qualifications
- Experience with AI-assisted development, testing, or operations workflows.
- Experience building or integrating AI tools or agents (for example, MCP servers or internal automations).
- Familiarity with responsible AI practices, including human review and data privacy/security considerations.
- Experience with monitoring, cost controls, or access management for AI tooling.
- Experience with multi-cloud integrations or cross-cloud networking.
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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About Cisco

Cisco
PublicCisco Systems, Inc. is an American multinational technology conglomerate corporation that develops, manufactures, and sells hardware, software, telecommunications equipment and other high-technology services and products focused on networking, cyber security and AI.
10,001+
Employees
Bangalore
Headquarters
$317B
Valuation
Reviews
3.4
3 reviews
Work Life Balance
2.0
Compensation
3.0
Culture
2.5
Career
2.5
Management
2.0
25%
Recommend to a Friend
Pros
Respectable company reputation
Good for resume/interviews
Recognized brand name
Cons
Poor communication/ghosting candidates
Work-life balance concerns
Overwork culture
Salary Ranges
0 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$70,294
total / year
Base
$28,118
Stock
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Bonus
$7,029
$49,206
$91,382
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Phone Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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