Job Description

Experience: 7 to 10 Years

NP: 0 to 30 days

Please find JD:

We are helping enterprises and service providers build their AI inference platforms for

end

users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware

architecture. Our cloud-agnostic, enterprise-grade MLOps platform abstracts

infrastructure

complexity and enables seamless deployment, management, and scaling of foundation

model

workloads at production scale.

As a Senior Software Engineer, you will take ownership of backend-heavy, full-stack

feature

development--building robust services, scalable APIs, and intuitive frontends that

power the

user experience. You'll contribute to the core of our enterprise-grade AI platform,

collaborating

across teams to ensure our systems are performant, secure, and built to last.

This is a high-impact, high-visibility role working at the intersection of AI infrastructure,

enterprise software, and developer experience.

Key Responsibilities

Design and implement scalable backend systems using Python, Golang, PostgreSQL,

and Kubernetes.

Develop and maintain robust RESTful APIs and services with high performance,

reliability, and security.

Build frontend components and interfaces using React, TypeScript, and JavaScript

when needed.

Integrate with third-party services such as Stripe, cloud storage (S3, GCP, Azure), and

auth systems (OAuth, SSO).

Participate in architectural design and contribute to defining best practices across the

stack.

Collaborate with product, ML, DevOps, and UX teams to translate requirements into

production-ready features.

Ensure high code quality through unit testing, automation, code reviews, and

documentation.

Help scale our infrastructure through contributions to CI/CD, observability, and

Kubernetes-based deployments.

Required Qualifications

7-10 years of professional software engineering experience building enterprise-grade

platforms.

Strong understanding of algorithms, data structures, and object-oriented design.

Expertise in Python and backend development with experience in PostgreSQL or

similar databases.

Solid understanding of Kubernetes, containerization, and microservices architecture.

Experience building and scaling REST and GRPC APIs for real-world production

systems.

Hands-on experience with frontend development using React, TypeScript, and

HTML/CSS.

Preferred Qualifications

Golang experience is a huge plus, especially for performance-critical backend systems.

Familiarity with Gitops, HelmCharts, CRDs is an advantage.

Experience with MLOps, DevOps, or infrastructure development.

Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools.

Exposure to payment integration (Stripe) and enterprise security practices

Job Type: Full-time

Pay: ₹100,000.00 - ₹1,800,000.00 per year

Location Type:

In-person
Work Location: In person

Speak with the employer

+91 7378473775