Software Engineer, Platforms

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.

Compensation

We believe in paying competitively for exceptional talent. The expected salary range for this role is $250,000–$300,000 USD, though the final offer may fall anywhere within or outside this range based on factors such as experience, technical depth, demonstrated impact, interview performance, location, and overall alignment with the role. In addition to salary, compensation may include equity and benefits designed to support our team both professionally and personally.

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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.