Engineering Manager - Full Stack Development
First seen by Alion on Nov 13, 2026.
About Responsive :
Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information.
The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to accelerate growth, mitigate risk and improve employee experiences.
Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more.
About the Role :
Responsive is looking for a hands-on Engineering Manager to lead and grow a high-performing team while driving technical excellence in full-stack development (Java + React).
In this role, you will shape technical strategy, support team growth, contribute directly to system architecture, design, and implementation, and foster engineering best practices across the organization.
What You'll Be Doing :
- Technical Leadership & Strategy: Define and execute the technical vision for scalable, maintainable solutions in Java and React while contributing directly to architecture and design decisions.
- People Management & Mentorship: Lead a team of engineers, provide mentorship, conduct performance reviews, and foster a culture of continuous learning.
- Full-Stack Development Oversight: Ensure engineering excellence across Java backend services, React frontend applications, and MongoDB data architecture.
- AI & Intelligent Systems Development: Contribute to and guide the development of AI Agents and AI-driven capabilities.
- Observability & Monitoring: Establish and enhance monitoring, logging, and tracing frameworks to ensure system reliability and proactive issue detection.
- Performance Optimization: Drive performance tuning, system scaling, and resource optimization for cloud-based architectures.
- Collaboration & Stakeholder Management: Work closely with product managers, UX designers, and other engineering teams to align development with business objectives.
- Continuous Improvement: Promote best practices in coding, security, DevOps, CI/CD, and agile methodologies.
What We're Looking For :
Education :
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Experience :
- 14+ years of experience in software development, with at least 2+ years in a leadership/managerial role.
- Proven track record of success in a hands-on technical leadership role, driving key architectural decisions and system design.
- Experience building AI Agents or AI-driven systems.
Skills, Qualifications & Ability :
- Strong expertise in Java and React for full-stack enterprise application development.
- Experience with MongoDB and solid knowledge of relational and NoSQL database design.
- Experience in designing and implementing AI-powered applications, including LLMs, RAG architectures, AI agents, and workflow automation solutions.
- Proven experience leading, mentoring, and developing engineers across different levels.
- Ability to build high-performing, collaborative, and accountable engineering teams.
- Experience setting technical direction, conducting architecture reviews, and enforcing engineering best practices.
- Strong experience with observability and monitoring tools such as New Relic, OpenSearch, and Splunk.
- Hands-on experience with cloud-native development on AWS, GCP, or Azure.
- Knowledge of search and retrieval technologies such as Elasticsearch and Apache Solr; AI-driven search and NLP experience is a plus.
- Strong understanding of scalability, reliability, fault tolerance, and performance optimization.
- Proficiency in CI/CD, TDD, and DevOps practices, including Docker, Kubernetes, and infrastructure as code.
- Strong problem-solving, decision-making, and stakeholder-management skills.
- Experience leading teams in Agile environments, with practical knowledge of Scrum and Jira.
Skills
Engineering Management, Full Stack, Java, React.js, MongoDB, Generative AI, LLM, RAG, Agentic AI, AWS, ElasticSearch