Technical Operations & AI Automation Engineer - (India/Remote)

🚀 Who we are & What we’re building

Peakflo is a rapidly growing Agentic AI company. We are revolutionizing the way global finance teams work with our cutting-edge agentic workflows, and we are actively seeking exceptional professionals across diverse disciplines to champion this transformation, uniting multidisciplinary expertise to propel our global strategic vision.

Our Growth Story: Peakflo is backed by top-tier global accelerators and investors. We are proud alumni of the prestigious Y-Combinator (W22) and the Google AI Accelerator. Our momentum and impact have been recognized globally by top tech and finance publications:

TechCrunch Exclusive: Peakflo’s bid to build business payments for Southeast Asia attracts capital, customers

PYMNTS: Peakflo Raises $4.1M in Seed Funding to streamline vendor payments

Grit Daily: Latest Feature on Peakflo's Innovations

Our Culture : We believe in building a vibrant, high-performance culture that rewards curiosity, ownership, and innovation. Our team spans the globe, and we love coming together to solve hard problems and celebrate our wins. Most importantly, we have begun building an environment that provides the support and mentorship needed to succeed, learn, and grow. ❤️

💻 What we’re Looking For:

We're looking for a Technical Operations & AI Automation Engineer who loves two things equally: diagnosing gnarly production issues and then building the AI agent that prevents it from ever happening again.

This is an L2 support and automation role. You'll be the last line of defense on escalated database investigations, complex data migrations, and payment flow failures — and you'll be expected to close those loops by automating everything repeatable. You'll work directly with the CTO and Core Engineering.

If your natural instinct after fixing something is to immediately write the script that catches it earlier next time, you'll thrive here.

💪 What you’ll do

L2 Investigation & Incident Response

Own escalated production issues — database anomalies, failed transactions, data corruption, ghost records

Deep-dive PostgreSQL/MongoDB query analysis: explain plans, slow query logs, lock contention, index misuse

Triage and resolve payment failures across Southeast Asian rails, PSP integrations, and reconciliation gaps

Lead complex data migrations: schema changes, multi-tenant data moves, backfills with zero data loss

Write post-mortems and build runbooks so the same issue never costs us twice

AI-Powered Automation

Build internal AI agents and tools that automate repetitive investigation and support workflows

Deploy LLM-powered diagnostics: log summarization, anomaly detection, automated root cause drafts

Instrument production systems with observability tooling (Langfuse, OpenLLMetry, or equivalent) to proactively catch issues before they escalate

Identify any task you've done manually more than twice — then automate it out of existence

Platform & Developer Tooling

Build and maintain CLI tools, internal dashboards, and scripts that help the engineering team ship faster

Manage CI/CD pipelines and deployment workflows; keep staging and production tightly aligned

Contribute to GCP infrastructure upkeep: IAM, secret management, container deployments via Docker/K8s

Partner with core engineering on ERP integrations (NetSuite, Xero) and payment provider onboarding

🕵️‍♀️ Who we’re looking for

2+ years of hands-on experience in technical operations, backend engineering, or DevOps

Real fluency with PostgreSQL and/or MongoDB: you can read an explain plan and know what to do with it

Experience debugging payment flows, reconciliation failures, or financial data pipelines

Strong Python and bash scripting — you automate as a reflex, not an afterthought

Comfortable owning ambiguous, high-pressure incidents with limited documentation

➕ We’re Particularly Interested In People Who Have:

Experience with Southeast Asian payment providers (GrabPay, PayNow, PromptPay, Xendit, etc.)

Practical use of AI