Position: 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:
• Tech Crunch 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 Postgre
SQL/Mongo
DB 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 escalated
• 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 (Net Suite, Xero) and payment provider onboarding
️♀️ Who we’re looking for
• 2+ years of hands‑on experience in technical operations, backend engineering, or Dev Ops
• Real fluency with Postgre
SQL and/or Mongo
DB: 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 (Grab Pay, Pay Now, Prompt Pay, Xendit, etc.)
• Practical use of AI coding agents (Claude Code, Cursor, Copilot) in day‑to‑day engineering work
• LLMOps exposure: deploying, monitoring, or routing LLM APIs in production
• Background in fintech, B2B SaaS, or finance operations tooling
• Familiarity with Net Suite, Xero, or other ERP integrations
⚡ What We Value Most
In order:
Drive → Potential → Expertise. We'll take someone who is relentlessly resourceful and still learning over someone experienced but waiting to be told what to do. Ownership is the job.
Benefits :
• Competitive compensation package
• Comprehensive health and wellness benefits.
• Direct access to leadership — you'll work closely with the CTO from day one
• Collaborative and innovative work environment.
• Flexible work hours and remote work options.
• A platform with real engineering depth — payments, AI agents, ERP integrations, multi‑tenant SaaS
• The opportunity to automate an entire operations function from the ground up
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