Software Engineer – Forward Deployment

Cisco

Forward Deployed Engineer partnering with Indian enterprises to deploy scalable AI solutions. Building integrations and influencing Cisco’s product roadmap through customer-driven engineering.

Posted 8/5/2026full-timeBangalore • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing scalable AI solution architectures and deploying production-grade applications, with a strong focus on customer collaboration and technical problem-solving. Proficient in building integrations and reusable tools that enhance customer success in enterprise environments.

Highest-signal resume keywords

AI Solution ArchitectureProduction DeploymentsTroubleshooting Complex IssuesAPIs and Distributed SystemsCustomer-Facing Technical Solutions

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringScalable ApplicationsAPIsCloud PlatformsBackend DevelopmentMachine LearningGenerative AIKubernetesMLOpsTechnical Documentation

Soft Skills

Excellent CommunicationProblem-SolvingCollaborationAdaptability

Tools & Technologies

Cloud InfrastructureObservabilityDeveloper ToolsFrameworks

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Enterprise CustomersTechnical RequirementsProduction IssuesTechnical WorkshopsSolutions EngineeringTechnical Customer Success

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

Partner with enterprise customers to understand technical requirements and business goals
Design scalable AI solution architectures and guide customers through production deployments
Build integrations, prototypes, and reusable tools that accelerate customer success
Lead technical workshops and architecture discussions
Troubleshoot complex production issues
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements
Create documentation, reusable best practices, and technical assets for future deployments
Help Fortune 100 organizations bring cutting-edge AI systems into production

Requirements

What you’ll need

Bachelor's degree in Computer Science or a related technical field (or equivalent experience)
4–8 years of software engineering experience building scalable, production-grade applications
Experience with APIs, distributed systems, cloud platforms, or backend development
Strong troubleshooting and problem-solving skills across multiple layers of the technology stack
Excellent communication skills and ability to work directly with enterprise customers
Comfortable working in fast-paced, ambiguous environments
Interest in AI, Machine Learning, or developer platforms
Preferred: experience deploying or supporting Generative AI, LLM, or Machine Learning applications in production
Preferred: experience with Kubernetes, cloud infrastructure, observability, or MLOps
Preferred: experience building customer-facing technical solutions or integrations
Preferred: experience creating reusable developer tools, frameworks, or open-source contributions
Preferred: consulting, Solutions Engineering, or Technical Customer Success experience in enterprise environments

Benefits

Comp & perks

Opportunities to grow and build
Global network of thinkers, doers, experts, and curious creators
Opportunities to experiment and learn
Collaborative team environment