Forward Deployed Engineer (FDE)
Location: Bangalore / Remote Experience: 4–8 Years
Work Hours: EST Time Zone – 2PM to 11PM IST
About Us
Lucidity is a rapidly growing company with a first-of-its-kind and impactful product in cloud storage. Joining Lucidity offers the opportunity to work on cutting-edge technology, solve real-world problems for major enterprises, and be part of a company that is reshaping the future of cloud storage.
- We were awarded Best Infra and Dev Tools SaaS Startup by SaaSBoomi – Link
- Listed among India's Top Startups by LinkedIn – Link
- Backed by $32M in funding from investors like Alpha Wave Global, WestBridge Capital, and Beenext – Link
- Category leader in cloud storage optimization
- Trusted by major enterprises, including Fortune 500 companies spanning the US and UK, our major markets
- Opportunity to work with experienced co-founders Vatsal & Nitin — serial entrepreneurs with over a decade of experience at companies like Microsoft, Swiggy, and Tracxn, building and selling large tech products
- Work in a deep-tech company and be part of an accelerated growth journey
- Presence across India, Abu Dhabi, the US, and the UK
What We Do
Lucidity is a company that provides an automated NoOps disk auto-scaler for cloud storage across AWS, Azure, and GCP. It addresses over-provisioned block storage by dynamically scaling capacity, increasing disk utilization to around 80% from 25–35%. This results in cost reductions of up to 70% for businesses. Here's a video of what Lucidity does.
Key benefits include:
- Significant cost savings on storage (especially EBS costs)
- Elimination of downtime by preventing disk space issues
- Reduced DevOps effort through automation
- Application-agnostic solution that works with various systems
Additional links: Website | Blog | YouTube | LinkedIn
We are growing aggressively and plan to expand our revenue by 5x in the next year. We are passionate about creating something unique, innovative, and big from India for global customers.
About the Role
We're looking for a Forward Deployed Engineer — a hands-on, code-first engineer who gets embedded directly inside customer environments to make Lucidity work exactly the way that customer's infrastructure needs it to. This is a builder's role, not a slide-deck role: you'll spend your time writing scripts, building integrations, automating deployment workflows, and increasingly, applying AI/LLM-based tooling to accelerate diagnostics, onboarding, and support for our largest customers.
Going deep into a customer's stack, writing the automation and tooling that gets Lucidity live fast, and building the internal accelerators (including AI-assisted ones) that make every future deployment faster than the last.
- Get embedded directly with customer engineering teams (virtually or on-site) to design, build, and ship the automation, scripts, and integrations needed to deploy and operationalize Lucidity in their environment.
- Write production-quality code (Python, Go, or similar) and IaC (Terraform/CloudFormation) to solve customer-specific technical gaps — custom connectors, deployment automation, monitoring hooks, and edge-case handling that a standard playbook doesn't cover.
- Actively build and apply AI-driven tooling to the deployment lifecycle — e.g., using LLMs/agents to accelerate log triage, auto-generate deployment diagnostics, build internal copilots for common support/debugging patterns, or speed up customer onboarding workflows.
- Debug deep technical issues across cloud infrastructure, OS-level storage behavior, and networking — going as deep into the stack as required to unblock a customer, including reading and modifying code when needed.
- Partner tightly with Product and Engineering as the field's technical feedback loop — flagging gaps, prototyping fixes, and turning repeat customer requests into reusable tooling or product features.
- Support technical discovery and solution design conversations alongside Solutions Architects, bringing implementation-level realism to architecture decisions.
- Continuously look for ways to use AI/automation to reduce manual effort in deployment, diagnostics, and support — treating internal tooling as a product in its own right.
- Document technical patterns, runbooks, and automation so that solutions you build for one customer can be reused across the team.
- Travel to customer sites as necessary for critical technical implementation work.
Must Haves
- 4+ years of hands-on experience as a software/DevOps/platform engineer building and shipping production code — this is a technical builder role first.
- Strong programming and scripting ability (Python, Go, or similar) with real experience writing and maintaining production-grade code, not just configuration.
- Hands-on experience with AWS and/or Azure, including IaC tooling (Terraform, CloudFormation, or similar) and cloud networking/security fundamentals.
- Practical exposure to AI/LLM-based tooling — prompt engineering, building agents/copilots, using AI coding assistants, or shipping AI-powered internal tools — and genuine enthusiasm for applying AI to make technical delivery faster.
- Comfort working directly inside a customer's technical environment, including debugging at the code/OS level under time pressure.
- Working experience across Windows and Linux operating systems.
- Strong problem-solving instincts — able to go from this is broken to a working fix without needing the problem pre-defined.
- Good communication skills — able to explain technical trade-offs clearly to both engineers and non-technical stakeholders.
- Comfortable in a fast-paced, customer-facing environment with shifting priorities.
- Public cloud certifications are a plus, not a requirement.
- Prior experience in the storage domain is a strong plus.
What Do We Promise
- A high-growth work environment
- Autonomy to decide & deliver on KPIs
- Hybrid / work-from-home options | Flexible hours | Unlimited leaves
- Attractive ESOPs — potential to see 100x in the next 5 years
