Description

Lead technical execution across the full software development life cycle, focusing on scalable backend systems and machine learning operations.

This role is on-site.

Responsibilities

• Develop tools and applications by producing clean, efficient, and performant code.
• Identify, prioritize, and execute tasks throughout the development lifecycle.
• Automate manual tasks through appropriate scripting and tooling.
• Analyze, debug, and perform validation and verification testing using TDD.
• Review peer code and collaborate with internal teams to improve products.

Required Skills

• 5+ years of professional engineering experience.
• Expertise in Java, Kotlin, C#, or Go with a focus on writing clean code at scale.
• Hands-on experience with Azure ML Workspace and MLOps.
• Deep knowledge of relational databases including Microsoft SQL Server and MySQL.
• Strong experience building RESTful API endpoints.
• Proficiency in TDD and automated testing frameworks like Selenium, Cypress, or Rest Assured.
• Experience with UI frameworks such as Vue.js, React, or Angular.
• Proficiency with Git and system monitoring tools like New Relic or DataDog.
• BSc/BA in Computer Science or a related degree.

Preferred Skills

• Experience with Spring Boot, Docker, Kubernetes, Istio, or Ansible.
• Knowledge of Jenkins CI/CD, Linux, IP networking, and Python, Bash, or Groovy.
• Familiarity with AWS/Azure cloud services, SAML, OAuth, or OpenID Connect.

Key Skills

Education

Any Graduate