Description

Eligibility criteria:

At least 3+ years of hands-on technical backend software development experience, driving the architecture and design of scalable and high-availability systems.

Key Responsibilities:

• Design, implement, test and deliver highly scalable products

• Master our development process, culture and code base, then improve it

• Work closely with a team of engineers, product managers and engineers to build new features our customers will love, adopt and use while keeping our trusted platform stable and scalable

• Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics

• Analyse, design and develop test cases and implement automated test suites

Required Skills:

• Deep knowledge of object-oriented programming (such as Java)

• Experience with monitoring and logging using tools such as Splunk

• Hands-on development of LLM Technologies, Agentic Frameworks. Ability to translate complex AI concepts into pragmatic and compliant engineering decisions.

• Strong analytical and problem-solving skills

• Team-player with the ability to work effectively and efficiently with others

• Be a self-starter and possess strong sense of self-motivation

• Experience using telemetry and metrics to drive operational excellence

• Demonstrated problem-solving ability when working with complex AI workloads, distributed systems, and cloud-native application behaviours.

• A proactive, experimentation-oriented mindset with a strong willingness to learn emerging AI technologies, frameworks, and engineering patterns.

• Full-stack software development experience

Preferred Skills:

• Contributions to open-source AI/ML infrastructure or MLOps projects.

• Patents, papers, blogs, or other external publications related to large-scale ML deployment, observability, or governance.

• Strong platform and product-centric mindset demonstrated by high-leverage infrastructure projects