Senior Python Engineer (AWS, APIs, GenAI)

We are hiring a Senior Python Engineer to design, build, and operate cloud-native systems that integrate backend services, data platforms, and AI tooling.

This is not a task-driven role. You will be expected to own outcomes end-to-end—from system design to production deployment, while working across backend systems, cloud infrastructure, and modern AI-assisted development workflows.

You will work closely with engineering, DevOps, and stakeholders to deliver production-grade systems that are scalable, reliable, and maintainable.

We are looking for Engineers who can:

Backend Engineering

• Build backend systems using Python.
• Develop and maintain REST APIs (consume & produce).
• Design scalable services and integration layers.
• Work with structured and unstructured data systems.

Event-Driven & Distributed Systems

• Build and operate event-driven systems on AWS.
• Develop asynchronous workflows and messaging-based architectures.
• Integrate services using scalable, loosely coupled designs.

Cloud & Data Platforms

• Work with AWS services (Lambda, S3, RDS, boto3, etc.).
• Build integrations with Snowflake and relational databases.
• Design systems that handle high-throughput data pipelines.

AI & Developer Productivity

• Leverage GenAI tools and coding agents (Copilot, Claude, Codex).
• Integrate AI-assisted workflows into development processes.
• Work with emerging enterprise AI ecosystems.

DevOps & Delivery

• Implement Infrastructure as Code (Terraform).
• Work with CI/CD pipelines (Jenkins, SonarQube).
• Follow structured Git workflows and SDLC practices.
• Ensure reliability through testing, monitoring, and observability.

What Sets You Apart

We are looking for engineers who demonstrate several of the following:

• You have built Python-based backend systems in production environments.
• You understand API design, integration patterns, and system scalability.
• You have worked with AWS cloud services and understand cloud-native design.
• You have experience with event-driven systems and asynchronous workflows.
• You have exposure to GenAI tools and modern AI-assisted development.
• You understand DevOps practices, CI/CD pipelines, and infrastructure automation.
• You can reason about system trade-offs and design decisions.
• You take ownership of systems and deliver production-grade outcomes.
• You communicate clearly and can operate in fast-moving, high-pressure environments.

Technology Ecosystem

 Backend: Python, REST APIs, Microservices.

Cloud: AWS (Lambda, S3, RDS, boto3).

Data: Snowflake, SQL, AWS RDS.

DevOps: Terraform, Jenkins, SonarQube, GitLab.

AI Tools: GitHub Copilot, Claude, Codex.

Other: Linux, API integrations, Event-driven systems.

Our Process

• Schedule a 15-minute video call with someone from our Team.
• 1 Proctored GQ Tests (Multiple Choice Questions < 60 Minutes).
• 30-45 min Technical & Final Video Interview.
• Receive Job Offer.

If you are interested in reaching out to us, please apply, and our team will contact you within the hour.