Member of Technical Staff, Distributed Systems

LOGE, Inc; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Founding equity

Medical insurance for you and family

Flexible time off

Small team culture

Job summary

logcat.ai in Bengaluru is seeking a talented distributed systems engineer to own the core platform end to end, including ingestion, processing, and the AI agent runtime. You will shape architecture, tooling choices, and CI/CD, driving reliability and scale.

You should bring 4+ years of backend/distributed systems work, full-stack capability, AI-native mindset, startup experience, and hands-on use of Claude Code or equivalent CLI AI tools.

Qualifications

• 4+ years building backend or distributed systems with real load and known failure modes.
• Full-stack capable: API, pipeline, infra, and sometimes UI.
• AI-native: build harnesses and evals, not just autocomplete.
• Startup DNA: ownership over lanes, speed over ceremony, multi-hat roles.
• Proficiency with CLI-based AI coding tools like Claude Code.

Responsibilities

• Build ingestion and processing for large system-log artifacts and the runtime for AI agents.
• Own the infrastructure ensuring platform reliability: architecture, tech selection, CI/CD.
• Create automation and agentic workflows enabling a small team to ship like a large one.

Skills

Distributed systems

Full-stack development

AI tooling

Startup experience

CLI AI tools

Tools

Claude Code

CI/CD tooling

Job description

Member of Technical Staff, Distributed Systems

About this position

logcat.ai is the AI engineering layer for the operating-system stack. We build agentic systems for Linux and Android devices: we ingest the diagnostic artifacts a device emits (bugreports, logcat, dmesg, modem traces, ramdumps, perfetto, pcap, CAN) and help device makers diagnose, remediate, test, and author features across their OS stack, grounded in their own BSP. A VC-backed startup with a small, senior team — you work directly with the founders.

We recently raised a $2.55M pre-seed. The product is scaling and the customer list is growing. The team is still small, so you'll own what you build.

Own the core platform end to end: ingestion and processing of very large system-log artifacts, the runtime under our AI investigation agents, and the infrastructure that keeps it all reliable for customers. This is a founding seat — architecture, tech selection, CI/CD, and reliability are your calls, and you'll have a real vote in what we build and who we hire next.

We're not hiring for a traditional lane. We want someone who builds the automation, agentic workflows, and self-scaling systems that let a small team ship like a large one.

This role is on-site in Bengaluru. We've kept it that way on purpose: the platform work moves fastest with people in a room together, and this is the seat where that matters most. You must be eligible to work in India.

The bar

• 4 plus years building backend or distributed systems at product companies — you've personally owned a system under real load and can talk concretely about its failure modes.
• Full-stack capable: you'll ship the API, the pipeline, the infra, and sometimes the UI.
• AI-native: you build harnesses and evals, not just accept autocomplete.
• Startup DNA: you've worked at an early or high-growth startup, or genuinely want to now — ownership over lanes, speed over ceremony, many hats.
• Proficient in day-to-day work with CLI-based AI coding tools like Claude Code (or an equivalent). It's how the team operates, not a nice-to-have.

What you'll do

• Build ingestion and processing for very large system-log artifacts, and the runtime our AI investigation agents run on.
• Own the infrastructure that keeps the platform reliable for customers: architecture, tech selection, CI/CD.
• Build the automation and agentic workflows that let a small team ship like a large one.

Bonus

• Observability, logging, or tracing systems.
• Public OSS track record.

What we offer you

• A front seat as we scale. Customer calls, the roadmap, the pipeline, how the company is actually doing.
• Top-of-market salary and founding equity. You'll own a piece of what you build.
• The AI tools you need. We use AI across writing code, reviewing it, research, ops, and internal tooling. If something would help you work better, we'll get it.
• Early ownership, and full visibility. We move fast, and you'll help decide where.
• Comprehensive medical insurance for you and your family.
• Start-up perks and flexible time off, the kind people actually take.
• A small team that's easy to work with. People here like solving hard problems and helping each other out.

What to expect after you apply

• Screening call with Head of People & Business Operations
• Technical conversation with Co-founder/ Head of Engineering
• Technical exercise with Co-founder/ Head of Engineering
• Final conversation with CEO
• References, then offer