Join WisdomAI as a backend engineer to build scalable ML and data pipelines for Fortune 100 customers.
Posted by employer 3 months ago
First seen on Joblaze 4 days ago
Last verified on the company career page 9 hours ago
Skills & Technologies
What you'll build
- Owning the observability and deployments of Wisdom stack
- Building the right processes and tooling for production change management
- Building cost efficient and scalable systems
- Defining the product and engineering roadmap
- Shaping the engineering culture and tech stack
Must have
- 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
Nice to have
- Experience working in startup/fast paced teams
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the software engineer focuses on developing and maintaining the backend infrastructure, specifically working on deployment, observability, and scaling of production environments. Proficiency in cloud technologies such as Kubernetes, Terraform, and Python is essential for building efficient and secure systems. This position is ideal for someone with experience in fast-paced startup environments who is comfortable tackling complex challenges. The engineer will collaborate closely with both customers and team members to shape the engineering culture and product roadmap.
Joblaze insights
- Listed 4 days ago — first seen on Joblaze September 28, 2026. Last confirmed on WisdomAI's careers page October 2, 2026.
- This exact title is also open at 1 other location at WisdomAI: Bengaluru.
- Salary band is above the typical range for Backend roles (median ~$180,000).
- Starts above 100% of 57 comparable mid backend roles in United States that list Python we track (median $146,000 across 27 companies). See Python salary trends
- Python appears in 42.6% of 244 comparable mid backend roles in United States; Terraform appears in 9.8% of 244 comparable mid backend roles in United States.
Quick facts
- What's the salary range?
- WisdomAI lists $250,000–$300,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Kubernetes, Python, Terraform.
- What seniority level is this role?
- WisdomAI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Platforms role at WisdomAI.
From the original posting
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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