Platform Engineer - Backend
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2d ago
The date the source published, not the day we noticed it (2026-10-08). Last seen at its source 3h ago.
We have tracked this listing since 8 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Chennai
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–82.5k/yr
Middle 50% of 12 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 2d ago · last seen 3h ago
The listing
About the Company
Why We Built Lyric: Supply chains are more critical and complex than ever. Every day, large enterprises navigate trillions of possible decisions that could impact the bottom line. Powerful algorithms and AI can address these problems, yet most organizations struggle to leverage supply chain AI at scale. The current SCM technologies are either rigid, limited-scope point solutions or custom solutions built in-house, which demand immense expertise and investment.
That is…until now.
Enter Lyric: Lyric is an enterprise AI platform built specifically for supply chains, offering the best of both worlds:
Out-of-the-box AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment capacity, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plus
A platform-first approach that empowers both business and technical users with end-to-end product composability, leveraging no-code tools, their own code, or even forking our code to build and refine supply chain decision intelligence
With Lyric, enterprises no longer have to choose between flexibility and speed, they get both.
The Mission: We’re building a new era in supply chain with the team best equipped to lead it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like Lyric. Since our inception in December 2021, that conviction has been validated time and time again.
Today, a growing number of Fortune 500 companies, including Smurfit WestRock, Estée Lauder, Coca-Cola, and more, are innovating on their own terms with Lyric. We can’t wait to see what our customers, both current and future, are empowered to build with us next. Come build with us!
The role: You'll build the backend platform that Lyric's product teams and AI agents run on, taking ambiguous problems from design to production and owning how they behave there. The work spans core platform services and our agentic layer: the framework for building and orchestrating agents, and the agents built on it. We hire at Senior and Staff levels, set by the scope you demonstrate, not your title.
What you'll own
A platform capability end to end: problem, design, build, release, iteration
Reusable services, APIs and execution patterns other teams build on
Data models, concurrency, failure handling, performance and observability
On agentic work: production agent loops, tools and orchestration, and the experiences built on them
What we're looking for
Strong fundamentals: problem decomposition, data structures, low-level design, debugging
Production systems you personally built and owned, including what broke and how they evolved
You can explain APIs, databases and system behaviour below the framework layer; exact stack match matters less
Startup experience, a hands-on ownership style and clear communication when the path isn't prescribed
Good to have: Developer platforms, workflow orchestration or services with many downstream consumers; agent evaluation, tracing, tool integration or cost controls; Python depth.
Location: Bengaluru or Chennai, hybrid.
How we hire: Recruiter screen, engineering leadership conversation, a live design and problem-solving round, then a half-day in-office build. Use any AI tools you like and walk us through every decision. We close with a build teardown and a values conversation.