Job Description :

Key Responsibilities :

- Lead and manage a team of 10+ engineers across multiple squads working on the Concierto Agentic Platform.

- Own end-to-end delivery of features and platform capabilities - from planning through production - with aggressive, committed timelines.

- Drive the technical direction for transforming existing products into agentic, AI-integrated systems using modern frameworks and cloud-native patterns.

- Architect and review designs for scalable, distributed backend systems handling high throughput and complex workflow orchestration.

- Actively participate in code reviews, system design sessions, and technical problem-solving - this is a hands-on management role.

- Collaborate cross-functionally with Product, AI, and Infrastructure teams to deliver cohesive platform experiences.

- Hire, mentor, and grow engineers; build a high-performance engineering culture with clear accountability.

- Define and track team KPIs, sprint velocity, and quality metrics; identify and unblock bottlenecks proactively.

- Drive adoption of best practices in CI/CD, testing, observability, and agile engineering.

Required Qualifications :

- 12+ years of software engineering experience with a strong application development background.

- 4+ years in an engineering management role, directly managing teams of 10 or more engineers.

- Proficiency in at least one modern backend language : Python, Java, or equivalent.

- Demonstrated experience designing and building scalable, high-availability distributed systems.

- Hands-on coding ability - comfortable diving into code, reviewing PRs, and debugging production issues.

- Proven track record of delivering complex projects on tight, aggressive timelines.

- Strong understanding of microservices, event-driven architecture, and cloud-native application patterns.

- Experience working in Agile/Scrum environments with a bias for velocity and continuous improvement.

- Excellent communication skills - able to articulate technical decisions to both engineering teams and business stakeholders.

Preferred / Nice-to-have Qualifications :

- Experience building or integrating AI/ML features, LLM-powered workflows, or agentic automation into products.

- Background in enterprise SaaS platforms, particularly in workflow automation or intelligent process orchestration.

- Familiarity with Azure cloud services and modern DevOps practices.

- Experience with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)