Engineering Manager

Requirements:

• Have 8-10 years of experience in web application development or software engineering in a large enterprise environment using modern frameworks (e. g., ASP. NET Core, Docker, Kubernetes).
• Have 2-3 years of experience in software engineering management, managing teams that deliver high-quality software,
• Be able to demonstrate significant experience working with relational databases, SQL Server, RDS and newer NoSQL data stores, as well as event streaming platforms such as Kafka.
• Familiarity with cloud native technologies such as Azure.
• Have a strong interest in open source technology. Possess good communication skills and enjoy mentoring and helping others to succeed as a team.
• Care about your craft and have opinions about the right way to do things with technology.
• Demonstrated experience providing technical direction and influencing design decisions across teams.
• A deep understanding of the full-stack software development lifecycle.
• Front-end technologies and frameworks such as Node, React, Next.js, Express, TypeScript, Tailwind.

Preferred Qualifications:

• Previous work experience in Ad tech applications.
• Experience working with vendor teams to deliver high-quality results.
• Knowledge of performance testing and application profiling.
• Track record of driving complex features or systems from inception to production in a leadership capacity.
• Experience contributing to long-term technical roadmaps and engineering strategy.
• Experience with: Technology stack includes. NET Core, C#, ASP. NET Core and REST APIs.
• Data persistence utilising a mix of relational and NoSQL databases, including SQL Server, Oracle, Aurora, Redis, Elasticsearch, DynamoDB and RavenDB.
• Data streaming stack that includes Kafka.
• Azure cloud and cloud native stack such as K8S, Key Vaults, Azure Storage, S3
• Unit testing using NUnit.
• Object-Oriented Programming fundamentals and in-depth understanding of Dependency Injection, Docker containers orchestrated via AKS Observability stack that includes Splunk, Datadog and Grafana.
• Experience guiding platform-wide architectural improvements or modernisation initiatives.
• Experience evaluating and selecting new technologies or tools for team-wide adoption.
• Required Education: Minimum of a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field.
• A Master's degree in Computer Science, Software Engineering or a related technical discipline is highly desirable.