Senior Manager

THL; Pune District; On-site; INR 6,000,000 - 10,000,000; Full time

Job summary

THL is seeking an experienced Senior Engineering Manager – Agent Engineering to lead a team building scalable intelligent software agents for healthcare platforms. You will drive technical strategy, mentorship, and hands-on leadership across Product, AI Eng, and Platform teams.

You will own architecture, delivery, and automation initiatives, while ensuring secure, reliable agent solutions across APIs, data pipelines, and enterprise integrations.

Qualifications

• 12–18 years of software engineering experience, including significant hands-on development.
• Proven experience managing and mentoring engineering teams of 15–20 engineers.
• Strong hands-on expertise in Java and/or Python, with the ability to write, review, debug, and optimize production code.
• Strong understanding of microservices architecture, distributed systems, and RESTful API design.
• Experience designing and implementing enterprise-grade integrations with internal and third-party systems.
• Strong understanding of software engineering fundamentals including OO design, design patterns, API design, distributed systems, and security.
• Experience with cloud-native development, preferably AWS and related services (EC2, S3, Lambda, ECS/EKS, RDS).
• Hands-on experience with Docker and Kubernetes and modern CI/CD practices.
• Experience with DevOps tools such as Jenkins, Git, and automated deployment pipelines.
• Understanding of data engineering concepts including data pipelines, ETL/ELT, and data integration.
• Strong testing strategies including unit, integration, API, and end-to-end testing.
• Excellent written and verbal communication skills.
• Strong analytical, problem-solving, and decision-making abilities.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field. Master’s degree is a plus.

Responsibilities

• Lead, mentor, and grow a team of 15–20 software engineers.
• Establish a strong engineering culture focused on ownership, quality, accountability, and continuous improvement.
• Hire, onboard, coach, and develop engineering talent.
• Conduct performance management, career development, and regular technical feedback.
• Build a high-performing team with the right balance of technical depth and engineering practices.
• Lead the design and development of production-grade software agents and automation solutions.
• Define technical direction and architecture for agent-based applications, integrations, workflows, and supporting services.
• Guide engineers in building reliable, deterministic, and scalable agent capabilities.
• Design solutions involving API integrations, vendor systems, workflow orchestration, and enterprise data integration.
• Establish reusable engineering patterns and components to accelerate future agent work.
• Partner with AI Engineering teams for clean AI/LLM integration with deterministic components.
• Drive architecture and technology decisions across agent services and platform components.
• Review designs for scalability, security, performance; participate in hands-on development and code reviews.
• Establish engineering standards for testing, API design, observability, security, and performance.
• Own engineering execution for multiple agent initiatives; define milestones and delivery plans.
• Identify bottlenecks and balance short-term delivery with long-term sustainability.
• Collaborate with Product, AI Engineering, QA, DevOps, Architecture, Security, and stakeholders.

Skills

Java

Python

Microservices

REST APIs

AWS

Docker

Kubernetes

DevOps tooling

Leadership

Hiring & mentoring

CI/CD

Education

Bachelor's degree in Computer Science or related field

Master's degree a plus

Tools

Jenkins

Git

Terraform

Job description

About the Role

We are looking for an experienced andhands-on Senior Engineering Manager – Agent Engineering to lead a teamresponsible for building and scaling intelligent software agents and automationcapabilities for our healthcare platforms.

The role combines people leadership,technical leadership, architecture, and hands-on engineering. You will leadengineers building production-grade agents that integrate with enterpriseapplications, APIs, workflows, and automation capabilities.

The ideal candidate is a strong engineeringleader who can operate comfortably at both the architecture and codelevel—someone who can guide technical strategy, make sound engineeringdecisions, mentor engineers, and step into the code when required.

You will work closely with Product, AIEngineering, Agent Platform, Architecture, QA, DevOps, and business teams totranslate product requirements into scalable, reliable, and secure agentsolutions.

Key Responsibilities

1. Engineering Leadership & People Management

• Lead, mentor, and grow a teamof 15–20 software engineers.
• Establish a strong engineeringculture focused on ownership, quality, accountability, and continuousimprovement.
• Hire, onboard, coach, anddevelop engineering talent.
• Conduct performance management,career development, and regular technical and professional feedback.
• Build a high-performing teamwith the right balance of technical depth, domain knowledge, and engineeringpractices.

2. Agent Engineering & Technical Leadership

• Lead the design and developmentof production-grade software agents and automation solutions.
• Define technical direction andarchitecture for agent-based applications, integrations, workflows, andsupporting services.
• Guide engineers in buildingreliable, deterministic, and scalable agent capabilities.
• Design solutions involving APIintegrations, vendor systems, workflow orchestration, data extraction, businessrules, and enterprise application integration.
• Establish reusable engineeringpatterns and components that can accelerate development of future agents.
• Partner with AI Engineeringteams where AI/LLM capabilities are required, ensuring clean integrationbetween AI-driven and deterministic components.

3. Architecture & Software Development

• Drive architecture andtechnology decisions across agent services and supporting components.
• Review and challenge technicaldesigns to ensure scalability, maintainability, security, and performance.
• Participate in hands-ondevelopment, code reviews, debugging, and technical problem solving whenrequired.
• Establish and enforceengineering standards for code quality, unit and integration testing, APIdesign, observability and logging, error handling and resiliency, security, andperformance and scalability.
• Drive adoption of appropriatedesign patterns and modern software engineering practices.

4. Delivery & Execution

• Own engineering execution formultiple agent initiatives and ensure predictable delivery of committedoutcomes.
• Work with Product and Programteams to define milestones, dependencies, risks, and delivery plans.
• Identify and proactivelyresolve technical and execution bottlenecks.
• Balance short-term deliveryrequirements with long-term architectural and technical sustainability.
• Establish effective engineeringmetrics and continuously improve development and delivery processes.

5. Integrations, Data & Platform Collaboration

• Lead engineering initiativesinvolving REST APIs, third-party/vendor integrations, enterprise applications,and data services.
• Work with data engineeringteams on data pipelines, extraction, transformation, and data integrationrequirements where applicable.
• Collaborate closely with theAgent Platform team for runtime, hosting, lifecycle management, observability,and platform capabilities.
• Ensure business agents aredesigned to leverage common platform capabilities without duplicating platformfunctionality.
• Evaluate emerging technologies,frameworks, and engineering practices relevant to agent development andautomation.
• Identify opportunities toimprove developer productivity, engineering quality, and agent reliability.
• Promote automation acrossdevelopment, testing, deployment, and operational processes.
• Encourage experimentation whilemaintaining appropriate standards for production readiness and enterprisereliability.

7. Cross-functional Collaboration

• Partner with ProductManagement, AI Engineering, QA, DevOps, Architecture, Security, and businessstakeholders.
• Translate complex technicalconcepts and trade-offs into clear business language.
• Influence technical and productdecisions through data, engineering judgment, and strong communication.
• Represent Engineering inarchitecture reviews, planning discussions, and stakeholder forums.

Required Skills & Experience

• 12–18 years of softwareengineering experience, including significant hands-on development experience.
• Proven experience managing andmentoring engineering teams of 15–20 engineers.
• Strong experience in hiring,performance management, coaching, and career development of engineers.
• Strong hands-on expertise inJava and/or Python, with the ability to write, review, debug, and optimizecomplex production code.
• Strong understanding ofmicroservices architecture, distributed systems, and RESTful API design.
• Experience designing andimplementing enterprise-grade integrations with internal and third-partysystems.
• Strong understanding ofsoftware engineering fundamentals including object-oriented design, designpatterns, API design, distributed systems, error handling and resiliency,performance optimization, security, and scalability.
• Experience with cloud-nativedevelopment, preferably AWS.
• Experience with AWS servicessuch as EC2, S3, Lambda, ECS/EKS, RDS, or equivalent cloud services.
• Hands-on experience with Dockerand Kubernetes and modern CI/CD practices.
• Experience with DevOps toolssuch as Jenkins, Git, and automated deployment pipelines.
• Understanding of dataengineering concepts including data pipelines, ETL/ELT, data processing, anddata integration.
• Strong understanding of testingstrategies including unit, integration, API, and end-to-end testing.
• Excellent written and verbalcommunication skills.
• Strong analytical,problem-solving, and decision-making abilities.
• Ability to communicateeffectively with both technical and non-technical stakeholders.
• Bachelor's degree in ComputerScience, Software Engineering, or a related technical field. Master's degree isa plus.

Preferred / Good-to-Have Experience

• Experience building AI agents,intelligent automation, agentic workflows, or automation platforms.
• Understanding of LLM/GenAIconcepts and agent architectures, with the ability to integrate AI capabilitiesinto production software.
• Experience with workfloworchestration, state machines, rules engines, or event-driven architectures.
• Experience integrating withhealthcare, financial, enterprise, or other highly regulated systems.
• Experience building systemsrequiring strong auditability, traceability, reliability, and operationalobservability.
• Experience working withthird-party/vendor APIs and handling API variability, failures, retries, ratelimits, and authentication.
• Experience working in a SaaSand multi-tenant environment.
• Familiarity with modernengineering productivity and AI-assisted development tools.