Senior Technical Leader Forward Deployed Engineer Fde Globallogic Bengaluru

Vibehackers

Bengaluru

Hybrid

INR 3,200,000 - 5,200,000

Full time

14 days+

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Benefits offered by this job

Flexible work schedules

Paid time off

Professional development

Medical insurance

Bonuses

Maternity leave

On-site perks

Job summary

Vibehackers seeks a Senior Technical Leader/Forward Deployed Engineer to drive AI-enabled software delivery for IoT/telecom clients. You will lead Agentic Pods and translate ambiguous business problems into scalable, cloud-native architectures while mentoring teams in AI-assisted engineering practices.

You will guide AI-assisted design, code generation, testing, and documentation, ensuring security and maintainability across the SDLC.

Qualifications

12+ years of software engineering experience.
Strong expertise in enterprise application architecture, distributed systems, APIs, cloud-native development, and DevOps.
Proven experience leading technical teams and delivering complex software solutions.
Hands-on experience with AI Development Lifecycle (AIDLC): AI-assisted design, code generation, testing, debugging, documentation, and code review.
Demonstrated ability to effectively use AI coding assistants in day-to-day engineering.
Experience creating structured technical specifications and prompts to improve AI-assisted delivery outcomes.
Excellent communication, stakeholder management, and problem-solving skills.
Experience in consulting or customer-facing solution roles.
Exposure to Agentic AI frameworks and multi-agent development models.
Experience with LLM-powered applications, RAG architectures, or AI orchestration platforms.
Experience driving engineering transformation initiatives.

Responsibilities

Engage with customers, product teams, and stakeholders to understand complex business problems and define solution strategies.
Translate business requirements into detailed technical specifications suitable for AI-assisted implementation.
Design scalable, secure, cloud-native solution architectures for distributed systems and APIs.
Lead Agentic Pods (engineers + AI agents) to deliver high-quality software and drive AI-assisted delivery practices.
Review AI-generated architecture, code, tests, and documentation for correctness, security, and maintainability.
Mentor engineering teams on AI-native engineering, prompt engineering, and best practices.
Establish engineering governance, quality standards, and continuous productivity improvements via AI-enabled workflows.

Skills

Technical Leadership

System Architecture

Distributed Systems

Cloud-native Development

APIs

DevOps

AI-assisted Development

Prompt Engineering

Stakeholder Management

Mentoring

Problem Solving

Engineering Governance

Project Delivery

Job description

Explicitly requires vibe coding skills: heavy use of AI coding assistants and Agentic AI workflows to accelerate development.

About the Role

Senior Technical Leader / Forward Deployed Engineer (FDE) to lead Agentic Pods and drive AI-enabled software delivery across the SDLC for IoT/telecom customers. The role translates ambiguous business problems into scalable, cloud-native architectures and mentors teams in AI-assisted engineering practices.

Job Description

Role

We are seeking a Senior Technical Leader functioning as a Forward Deployed Engineer (FDE) to bridge business objectives and engineering execution by leveraging AI throughout the Software Development Lifecycle. The role leads Agentic Pods to deliver AI-enabled software solutions for customers in IoT/telecom domains.

Key Responsibilities

Engage with customers, product teams, and stakeholders to understand complex business problems and define solution strategies.
Translate business requirements into detailed technical specifications suitable for AI-assisted implementation.
Design scalable, secure, cloud-native solution architectures for distributed systems and APIs.
Lead Agentic Pods (engineers + AI agents) to deliver high-quality software and drive AI-assisted delivery practices.
Review AI-generated architecture, code, tests, and documentation for correctness, security, and maintainability.
Mentor engineering teams on AI-native engineering, prompt engineering, and best practices.
Establish engineering governance, quality standards, and continuous productivity improvements via AI-enabled workflows.

Requirements

12+ years of software engineering experience.
Strong expertise in enterprise application architecture, distributed systems, APIs, cloud-native development, and DevOps.
Proven experience leading technical teams and delivering complex software solutions.
Hands‑on experience within an AI Development Lifecycle (AIDLC): AI‑assisted design, code generation, testing, debugging, documentation, and code review.
Demonstrated ability to effectively use AI coding assistants (examples provided below) in day‑to‑day engineering.
Experience creating structured technical specifications and prompts to improve AI‑assisted delivery outcomes.
Excellent communication, stakeholder management, and problem‑solving skills.
Experience in consulting or customer‑facing solution roles.
Exposure to Agentic AI frameworks and multi‑agent development models.
Experience with LLM‑powered applications, RAG architectures, or AI orchestration platforms.
Experience driving engineering transformation initiatives.
AI coding assistants: Cursor, GitHub Copilot, Claude Code, Gemini Code Assist, Windsurf
Architectures and approaches: LLM‑powered applications, RAG architectures, AI orchestration platforms, Agentic AI frameworks

Benefits (selected)

Flexible work schedules and opportunities to work from home
Paid time off and holidays
Professional development, training and certification programs
Family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance
Annual performance bonuses and referral bonuses
Extended maternity leave
Periodic health awareness programs
On‑site perks: subsidized food, sports and cultural events, GL Zones/rooftop decks/GL Club, employee discounts

Cursor GitHub Copilot Claude Code Gemini Code Assist Windsurf LLM RAG AI orchestration platforms Agentic AI frameworks Cloud-native APIs Distributed Systems DevOps

Skills

Technical Leadership System Architecture Distributed Systems Cloud-native Development APIs DevOps AI-assisted Development Prompt Engineering Stakeholder Management Communication Mentoring Problem Solving Engineering Governance Project Delivery

Employment Type

Full Time, Permanent