Lead Engineer - AI services

Job Summary

The Software Development Engineer is a seasoned subject matter expert, tasked with participating in designing, developing, and testing software systems, modules, or applications for software enhancements and new products including cloud-based or internet-related tools.

This role is accountable for participating in detailed design for certain modules/sub-systems, doing prototype for multi-vendor infrastructure, and showcasing it internally or externally to clients.

This role designs and develops functionality in a micro-services environment working with APIs, telemetry data, and running ML/AI algorithms on it, working with both structured and unstructured data.

Key responsibilities

• Designs and develops solutions and functionality that drives the growth of business.
• Accountable for writing and testing code.
• Accountable for execution of automated testing.
• Contributes to software deployment.
• Works across multiple teams to deliver software components while working in collaboration with the product team.
• Contributes to the integration and building of solutions through automation and coding, using 3rd party software.
• Creates, crafts and debugs large scale distributed systems.
• Contributes to writing, updating and maintaining the technical program, end-user documentation, and operational procedures.
• Accountable for refactoring code.
• Works across multiple teams to review code written by other developers.
• Performs any other related task as required.

To thrive in this role, you need to have:

• Excellent understanding of cloud architecture and services in multiple public clouds like AWS, GCP, Microsoft Azure, and Microsoft Office 365.
• Subject matter expert in programming languages such as C/C++, C#, Java, JavaScript, Python, Node.js, libraries and frameworks.
• Seasoned expertise of data structures, algorithms, and software design with strong analytical and debugging skills.
• Seasoned knowledge of micro services-based software architecture and experience with API product development.
• Seasoned expertise in SQL and no-SQL data stores including Elasticsearch, MongoDB, Cassandra.
• Seasoned understanding of container run time (Kubernetes, Docker, LXC/LXD).
• Seasoned proficiency with agile, lean practices and believes in test-driven development.
• Possess a can-do attitude and one that takes initiative.
• Excellent ability to work well in a diverse team with different backgrounds and experience levels.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Seasoned proficiency with CI/CD concepts and tools.
• Seasoned proficiency with cloud-based infrastructure and deployments.
• Excellent attention to detail.

Academic qualifications and certifications:

• Bachelor's degree or equivalent in Computer Science, Engineering or a related field.
• Microsoft Certified Azure Fundamentals preferred.
• Relevant agile certifications preferred.

Required experience:

• Seasoned experience working with geo-distributed teams through innovation, bootstrapping, pilot, and production phases with multiple stakeholders to the highest levels of quality and performance
• Seasoned experience with tools across full software delivery lifecycle, for example, IDE, source control, CI, test, mocking, work tracking, defect management.
• Seasoned experience in Agile and Lean methodologies, Continuous Delivery / DevOps, Analytics / data-driven processes.
• Seasoned proficiency in working with large data sets and ability to apply proper ML/AI algorithms.
• Seasoned experience in developing micro-services and RESTful APIs.
• Seasoned experience in software development.

Workplace type: Hybrid Working