Software Engineering Manager

Leadership and Line Management: Reporting into the Senior Engineering Manager, a key responsibility of this role will be to lead the Aimee Engineering team, which is based in Bangalore.
Overseeing the Software Development Lifecycle: Oversight of entire software development lifecycle, from design, testing and implementation.
Coordination and Management: Collaborating with the Tribe Leadership Team, Product Owners, Scrum Masters, Engineers, QAs, BA s and Architects, sharing best practice
Technical Expertise: Create scalable and quality Code.
Design and Maintenance: Responsibility for designing, building, and maintaining systems within the development team, applying principles of software engineering.
Quality Assurance: Working with the QA Lead to develop guidelines for software testing and ensuring that the final product meets quality standards.
Communication: Excellent communication skills, with the ability to comfortable communicate technically and operationally with all stakeholders, including 3rd parties and senior leadership
Problem-Solving: Identifying software bugs and collaborating on solutions.
Continuous Improvement: Identify opportunities to improve productivity and efficiency across the tribe. Review tooling and promote the use of strategic tools within the tribe.
Mentorship: Mentoring of junior team members, helping them grow and develop their skills.
Strategic Mindset: Support the strategic direction within Digital within BT Group.

Leadership Skills:
Team Leading and Coaching: experience in leading teams of at least 5 engineers.
Conversational Leadership Team: Working closely with the Engineering Lead and Product Lead to help shape the Engineering Team in Conversational

Primary Technical Skills:
AI and ML - Natural Language Understanding (NLU) - Sprinklr, Dialogflow, Watson, Lex, Azure Bot.
Chat Messaging - Developing software to support Contact Centre Operation Teams
Cloud Experience - experience and knowledge of deploying applications on the cloud.
Hands-on Technical knowledge: experience and knowledge in implementing high scale microservices/distributed systems. Experience in modern JavaScript, Node, ES6+, React, Hooks, Redux.
Generative AI - An interest in Large Language Models and Gen AI.

Additional Skills:
Agile and Lean culture: Work to the standards set out in the squad, working and aligning with Scrum Master, Product Owner.
Dev Ops Skills: GCP/AWS, Security, IaaC, Gitlab pipelines, Jenkins, Kubernetes, Docker.
Technical Quality knowledge: experience and knowledge of pre and post release Quality governance. Planning adequate Testing, Monitoring, Alerting.
Architecture implementation: Ability to work with team to input into Solution Design, Epics and then deliverables.
Application Security - Work with team to minimise any address any vulnerabilities identified.
Production Support - Ability to work with team to address production issues and put in place resolutions to prevent future issues from arising.

Experience you would be expected to have:
At least 5 years experience of line management experience.
Focus on quality, automation, and metrics.
Experience of building a Virtual Assistant for high volume, multi- channel traffic would be an advantage.