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Wisdom Ai

Software Engineer, Platforms

  • Seen live on Wisdom Ai's site 3 days ago
  • Mid level
Pay
Not stated
Location
Bengaluru
Open for
11+ days
First seen
Oct 24, 2026
Apply on Wisdom Ai's site (opens in a new tab)

Posting record

No flags

Open 11+ days

The posting's record, oldest first
  1. Wisdom Ai's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Wisdom Ai, so its true age is longer.

Last checked Nov 1, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

Bachelor's degree asked for
“Bachelor's or Master's degree in Computer Science or related field.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

We are WisdomAI.

We exist to help people unlock clarity from complexity.

WisdomAI builds AI-powered analytics that put answers directly in the hands of the people closest to the business. Our platform doesn’t just surface insights — it explains the why behind them, helping teams move from data to decisions with speed, confidence, and context.

We’re trusted by companies like Cisco, Patreon, and Rubrik — and we’re just getting started.The problems here are hard, and the expectations are high. Our team is energized by both. If you’re compelled by ambitious problems, high standards, and meaningful ownership, you’ll thrive here.

Role

We are looking for a backend/infrastructure engineer to join our founding team. We are working on building ML and data pipelines, which can be efficient, secure and highly scalable by design. As a platforms engineer you will be working on the deployments, observability and other aspects for scaling the production environment with customers.

What you'll do

Wisdom is at an inflection point, with strong product market fit and the traction of Fortune 100 customers. We are looking for an early-stage engineer to build out the deployment, observability, and scaling of our growing production environments. You will work closely with experienced members of the team and customers to build systems to surpass the bottleneck of onboarding customers of any shape and size.

Job responsibilities

  • Owning the observability and deployments of Wisdom stack.
  • Working with other software engineers and sales engineers to build the right processes and tooling for production change management.
  • Work with modern cloud infrastructure to build cost efficient and scalable systems.
  • Work closely with customers and founders to define the product and engineering roadmap.
  • Shape up the engineering culture and tech stack for the company.

Qualifications

  • Experience building highly available and scalable cloud infrastructure.
  • Experience with Kubernetes/Terraform/Python.
  • Bachelor's or Master's degree in Computer Science or related field.
  • Experience working in startup/fast paced teams is highly desirable.

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Our CRAFT

CRAFT isn’t a list of aspirational values. It’s how we hire, how we promote, how we resolve hard calls, and how we stay honest with ourselves.

C — Customer trust. Everything starts here. We listen carefully, act with integrity, and respond with urgency. Delight is downstream of trust — never the other way around.

R — Relentless on outcomes. We move with urgency, take initiative, and see things through. Effort isn’t the measure — results are. If something isn’t working, we change the approach now.

A — Authenticity. We say the hard things, directly and with respect. We also show up as full humans. That combination is how trust is earned and how we grow together.

F — First principles, grounded in reality. We don’t accept “that’s how it’s done.” We strip problems to what’s actually true and build up from there — then validate quickly and let real-world results decide.

T — Transparency. We share the why, not just the what. When something can’t be shared, we say so. We’re one team — information flows so we can do our best work and challenge each other when we’re wrong.

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Equal opportunity employer

WisdomAI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law. We are committed to building a diverse, inclusive team where everyone can do their best work.

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