Job Description

• Bengaluru, Karnataka, India

Strength in Trust

OneTrust is the trust intelligence cloud platform organizations use to transform trust from an abstract concept into a measurable competitive advantage. Organizations globally use OneTrust to enable the responsible use of data while protecting the privacy rights of individuals, implement and report on their cyber security program, make their social impact goals a reality, and create a speak up culture of trust. Over 14,000 customers use OneTrust's technology, including half of the Global 2,000. OneTrust currently ranks #24 on the Forbes Cloud 100 list of top private cloud companies in the world and employs over 2,000 people in regions across North America, South America, Asia, Europe, and Australia.

The Challenge

We're looking for a talented and passionate Principal Software Engineer to join a geographically distributed agile product team. AI Developers are responsible for new software application development and integration work, including modification and optimization of code with a focus on performance. This person will influence and execute the technical strategy for Responsible AI and roadmap for products, making decisions on technologies that are robust and scalable.

Your Mission

The Principal Software Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. This involves designing and developing machine learning models and algorithms, analyzing data, and improving existing AI systems.

• Development
  • The primary responsibilities include designing and implementing machine learning models and algorithms, analyzing data, developing and testing new AI systems.
  • Analyzing large amounts of complex data to identify patterns and trends and improve predictive capabilities.
  • Developing and testing algorithms and statistical models to enhance AI performance.
  • Designing and developing software applications, tools, and platforms that support AI systems.
  • Build quality directly into the engineering processes and solutions through automated testing and test-driven development.
• Collaboration
  • Collaborating with cross-functional teams to identify and solve complex problems.
  • Work with Product Owners to translate the roadmap features into management components/tasks, estimate timings and resources, suggest solutions, and identify possible risk.
  • Lead and participate in the architectural design of features early in the development cycle.
  • Support the team to ensure all committed stories for the sprint are completed per the sprint goal.
• Code Review
  • Conduct peer reviews to improve code quality.
  • Help junior developers follow development testing, exploratory testing, AI testing and/or test automation.
• Support
  • Own your code in production, responding to incidents as they occur and participating in retros to determine how to be better in the future.
  • Work towards reducing total number of defects in the module/product to industry standards by catching and fixing issues early in development.
  • Resolve all critical and high-priority security defects in-sprint, or by the guidelines set by the SecOps team.
• Lead
  • Help build high-performing teams, grow and mentor the technical skills within the team and create development opportunities for them.

You Are

You are someone who understands the benefits of microservices, but also understands the challenges while collaborating closely with Product Managers and Designers. You are able to accomplish multiple sophisticated software development tasks and remain engaged with the latest technology trends and understand operational challenges to continually evolve the application delivery process and platform components.

Your Experience Includes

• Bachelor’s or advanced degree in computer science, development, mathematics, or a related field.
• 8+ years of full software development lifecycle, with experience in Agile development (Scrum, XP, Pair Programming)
• Strong programming skills, particularly in languages such as Python and Java
• Experience with machine learning frameworks and libraries
• Expertise in data analysis, statistical modeling, and data visualization
• Ability to design and develop machine learning algorithms and models.
• Experience with cloud application development (Microsoft Azure, Google Cloud Platform, or Amazon Web Services)
• Highly proficient at writing robust software for large-scale web applications in a dynamic environment with rapid release cycles and web services (e.g., RESTful services)
• Proficient in using test automation framework, code quality tools and performance analysis tools.
• Experience at writing robust software for large-scale web applications in a dynamic environment with rapid release cycles