Jobs

Role: Lead Software Architect

Location: London, UK

Salary: Competitive

Highly Experienced Software Architect to join one of the top Consultancies in the world, taking your career to unthinkable levels as you work with a business that favours innovation to orchestrate the results of champions.

This role is based in London, where you will lead a team of Tech Leads and Engineers to develop a suite of Data and Software products that will transform how the Private Equity industry consumes data to make key investment decisions.

This role sits at Portfolio level, meaning you will work across a number of data intensive enterprise products. This is a highly visible position with real impact on the architectural direction of each product and the organisation as whole.
 

Key Deliverables

• Provide technical leadership, governance and architectural direction on the design, development, implementation, and deployment of highly usable and scalable software
• Participate in system coding and engineering alongside development teams, including performing formal code reviews
• Enforce adherence to best practice in the area of security, performance, scalability, usability, maintainability, and supportability of software
• Produce, communicate and maintain technical designs, architecture artifacts, best practice, and principles for technical and executive-level audiences
• Lead rapid-prototyping efforts with new and emerging technologies to assess technical fit and risk
• Investigate and keep up-to-date on emerging and cutting-edge technologies, lead knowledge sharing
• Drive innovation through out-of-the-box thinking to solve critical business challenges and demands

Skills and Experience

• Strong experience designing, architecting, and leading teams in the delivery of Enterprise, scalable solutions, applications, and cloud platforms
• Experienced Leader of people and projects
• Experience with most of the following: Java (spring), Python, Kubernetes/Docker, micro-services, Node.js, React.js, Angular.js
• Big Data (e.g. Spark, RedShift, Kafka), AI/ ML, NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Cosmos DB), OLAP and OLTP relational databases
• Strong knowledge of Cloud Architectures and services – AWS / Azure