Engineering Manager
First seen by Alion on Sep 25, 2026.
About the Role :
We are looking for an experienced and hands-on Engineering Manager to lead high-performing engineering teams and drive the delivery of scalable, enterprise-grade software solutions. This role combines technical leadership, people management, architecture ownership, and cross-functional collaboration.
As an Engineering Manager, you will play a key role in building engineering culture, mentoring developers, driving execution excellence, and contributing to strategic technology decisions. The ideal candidate has strong backend engineering expertise in Java-based ecosystems, experience managing teams, and a passion for building reliable, cloud-native platforms.
Exposure to emerging AI engineering practices, including GenAI tools and Agentic AI systems, will be considered a strong advantage.
Key Responsibilities :
- Lead and mentor a team of 5 - 10 software engineers across one or more product areas.
- Own end-to-end delivery of large-scale, high-impact engineering initiatives.
- Collaborate closely with Product Managers, Designers, QA, DevOps, and business stakeholders to define and execute product roadmaps.
- Drive engineering excellence through architecture reviews, code reviews, best practices, and process improvements.
- Participate in hands-on development and technical problem-solving when required.
- Design and guide scalable distributed systems, microservices, and cloud-native applications.
- Ensure software quality, system reliability, performance optimization, and timely delivery.
- Conduct regular 1:1s, performance reviews, career development discussions, and team engagement initiatives.
- Support hiring, onboarding, and scaling of engineering teams.
- Identify and resolve technical bottlenecks, operational risks, and production issues.
- Drive Agile delivery processes, CI/CD adoption, and DevOps best practices.
- Evaluate and enable adoption of AI-driven engineering productivity tools and Agentic AI frameworks for intelligent automation.
Required Qualifications :
- 10+ years of software development experience with strong backend engineering expertise.
- Minimum 2+ years of experience managing or leading engineering teams.
- Strong experience in :
1. Java
2. Spring Boot
3. REST APIs
4. Microservices Architecture
5. Distributed Systems
- Hands-on experience with cloud platforms, preferably AWS.
- Good understanding of :
1. SDLC
2. Agile methodologies
3. CI/CD pipelines
4. DevOps practices
- Experience working with SQL and NoSQL databases.
- Strong communication, stakeholder management, and leadership skills.
- Proven ability to mentor engineers and build high-performing teams.
Preferred / Nice to Have :
- Experience in Healthcare, FinTech, or SaaS product organizations.
- Exposure to GenAI-assisted development tools such as Cursor, Codex, Claude Code, etc.
- Understanding of Agentic AI systems, autonomous agents, orchestration frameworks, or multi-agent architectures.
- Exposure to React or modern frontend technologies.
- Experience with :
1. Kafka
2. Spark
3. MongoDB
4. Databricks
5. AWS SageMaker
- Experience scaling engineering teams and distributed teams.
- Familiarity with security and compliance standards such as HITRUST, SOC2, GDPR.
What We're Looking For :
- Strong technical depth with the ability to guide architecture and engineering decisions.
- A collaborative leader who can inspire, mentor, and grow engineering talent.
- Someone who thrives in fast-paced, product-driven environments.
- Passion for innovation, automation, and leveraging AI to improve engineering productivity.
Skills
Engineering Management, Backend Architecture, Distributed Systems, System Design, Java, Spring Boot, REST API, Microservices Architecture, AWS, SQL