Engineering Manager - Java/Python

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)