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Weekday, Inc.

Platform Engineer

Posted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Design and build the core backend and platform systems from scratch; set architecture, infrastructure, data and tooling standards; implement reliable LLM agents and RAG solutions over organizational data; own high-impact projects end-to-end and operate systems at scale in an early-stage, high-autonomy engineering role.
The summary above was generated by AI

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.


Requirements

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.

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