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

About Companies Library Partners Resources Startup Jobs Log in Apply Peakflo Agentic workflows that automate your back‑office operations Technical Operations & AI Automation Engineer - (India/Remote) ₹1.2M - ₹1.6M INR • IN / Remote (IN) Job type Full-time Role Engineering, Machine learning Experience 3+ years Visa US citizenship/visa not required Skills Google Cloud, Kubernetes, MS SQL, MySQL, PL/SQL, PostgreSQL, Python, SQL, Torch/PyTorch, Machine Learning, Deep Learning, Docker, Natural Language Processing, Data Analytics, PyMOL, Machine learning, Terraform Apply to Peakflo and hundreds of other fast-growing YC startups with a single profile. Apply to role › About the role 🚀 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 exper