Responsibilities
- Design and implement scalable, reliable, and secure software solutions using microservices, event-driven architecture, and cloud infrastructure.
- Develop and maintain CI/CD pipelines with Azure DevOps, automating build, test, and deployment while integrating AI/ML for predictive diagnostics and intelligent automation.
- Build reusable components, frameworks, and libraries that enable faster development and higher quality.
- Apply best practices of CI/CD, infrastructure as code, observability, and debugging to ensure fast and smooth delivery of software products.
- Leverage AI/ML techniques and tools to solve complex problems and create innovative solutions.
- Rapid agility with Proof of Concepts especially with AI/ML.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, data modeling or data engineering work
- OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field
- OR equivalent experience.
- Industry experience in a deep technical role of which at least 2 years building products in Business Intelligence & Analytics, Cloud services, Productivity applications/ services, etc.
- Experience with data pipelining and transformation technologies such as Spark and experience on Azure Data tech stack would be a plus.
- Hands-on experience with big data technologies as well as data analytics tools.
- Excellent data visualization skills to be able to present insights that drive business impact.
- Knowledge of Machine Learning/Predictive modeling a significant plus.
- Strong team player with excellent communication & collaboration skills.
- Strong track record of self-directed execution.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Prior experience of DevOps.
- Prior experience of working with Global teams and multiple stakeholders.
- Prior experience of building models and operationalizing them in production.
- Problem solving - Ability to clearly understand problems, decompose them into smaller problems; and technical articulation skills so that it is easy for the team to collectively solve.
- Ability to work both independently and collectively in a fun team environment with minimal supervision.
- Good communication and stakeholder management skills.