Platform Engineer
Weekday AI · 23 hours ago
This role is for one of the Weekday's clients
Salary range: Rs 2500000 - Rs 5000000 (ie INR 25 - 50 LPA)
Min Experience: 5+ years
Location: India, Remote (India) JobType: full-time
This is a senior, foundational engineering role. The architecture, standards, and systems built now are the ones the rest of the company will be built on. You'll operate with full autonomy — in a team this small, your judgment directly shapes the product, the codebase, and the company's trajectory.
Responsibilities
• Architect and build the core backend and platform from the ground up — the foundational systems everything else depends on. • Design and ship LLM agents that reason over large, messy, real-world organizational data, and make them reliable enough to trust. • Make the foundational calls — architecture, infrastructure, data, tooling — and set the bar for engineering quality on the team. • Operate with full autonomy, owning problems end to end in a small, high-leverage team.
Must-Haves
• Years of experience building and operating backend and platform systems at real scale — the person your team turned to for the hardest problems. • Deep expertise in Python, distributed/platform systems, API design, and SQL data stores; comfortable owning systems end to end, from design through production.
• A track record of leading ambiguous, high-impact projects end to end — setting technical direction, not just executing against someone else's. • Hands-on experience (or strong, fast-forming intuition) with LLMs, agentic frameworks, and RAG, with a feel for building dependable products on top of nondeterministic models. • Genuine excitement for the scope, pace, and consequence of an early-stage company over the structure of a large one. • Has owned and operated systems at meaningful scale at a strong engineering org — Staff / Senior Staff / Principal-level scope, even if the title varies. Scope and impact matter more than tenure or a year count. • Example signal: Staff/Senior/Principal at Databricks, Snowflake, Google, Meta, Amazon, OpenAI, Anthropic, Stripe, Notion, Ramp, Scale AI — or an early/senior founding engineer at a reputable VC-backed startup. • Most experience should come from fast-moving tech environments, not banks/financial companies, slow-moving non-tech, telecom, or transportation/government. • Has been a technical anchor — sets direction, makes the hard architectural calls, and unblocks others. • High drive for problem-solving, with a deep, first-principles approach to any challenge taken on. • Strong agency and independence — comfortable defining the problem as well as solving it. • Genuinely excited (not just willing) to work in a fast-paced, high-ownership, early-stage environment. • Backend depth — building robust production systems, APIs, and Python — is important.
Nice to Have
• Previous founder, founding-member, or entrepreneur experience. • Drawn to new, ambiguous problems with no clear solution. • Fluent with AI tools for research and writing high-quality code. • Experience with LLMs, AI agents, and making sense of large or heterogeneous data. • An obsession with details and strong product sense. • Strong written and verbal communication.
What We're Looking For (Screening Snapshot)
• 5+ years of experience at the Staff / Senior Staff / Principal level. • Was operating at a senior level even before AI-assisted coding tools became standard. • 3–5 years at a high-bar software engineering company (e.g., FAANG, Ramp, or similar). • Some startup experience is ideal, though not required. • Excellent communication skills.