Engineering Manager with Java/Python

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).