Engineering Manager - Full Stack Development (Java & React)

About Responsive

Responsive, previously known as RFPIO, leads globally in strategic response management software, revolutionizing how enterprises exchange vital information. Their AI-powered platform efficiently handles large-scale response processes, helping almost 2,000 clients worldwide to fast-track growth, minimize risks, and enhance employee satisfaction through effective management of RFPs, RFIs, DDQs, and various security questionnaires.

Role Overview

The company seeks a proactive Engineering Manager to guide and expand a skilled full-stack engineering team focused on Java backend and React frontend solutions. This role involves defining the technical roadmap, participating deeply in architectural decisions, and embedding development best practices across the group.

Key Responsibilities

• Set and implement technical strategies for scalable and maintainable enterprise software leveraging Java and React technologies.
• Manage, mentor, and evaluate engineers fostering ongoing professional growth and high team performance.
• Oversee full-stack development efforts, ensuring quality backend services, frontend interfaces, and robust MongoDB data structures.
• Lead initiatives related to AI systems, including AI Agents and intelligent applications.
• Develop and improve observability measures such as monitoring, logging, and tracing to maintain system reliability and identify potential issues proactively.
• Drive optimization activities addressing performance tuning, scalability, and efficient resource use in cloud environments.
• Collaborate with product owners, UX teams, and other engineering units to align technology delivery with business goals.
• Champion engineering excellence via best practices across coding standards, security, DevOps pipelines, CI/CD, and agile workflows.

Qualifications and Experience

• Bachelor’s or Master’s degree in Computer Science, IT, or a relevant discipline.
• Minimum of 14 years in software development, including at least 2 years in a leadership or managerial capacity.
• Demonstrated success in technical leadership, with hands-on contributions to architecture and system design decisions.
• Proficient experience in developing AI-driven systems and AI Agent technologies.

Core Skills and Expertise

• Strong proficiency in Java and React for enterprise full-stack application creation.
• Deep working knowledge of MongoDB plus experience with both relational and NoSQL databases.
• Experience in architecting and implementing AI-related applications, including LLMs, RAG approaches, AI agents, and workflow automation tools.
• Proven ability to lead and grow engineering teams, promoting collaboration and accountability.
• Skillful in technical direction, conducting architecture reviews, and enforcing development best practices.
• Experience using monitoring and observability tools like New Relic, OpenSearch, and Splunk.
• Hands-on cloud-native development experience with AWS, GCP, or Azure.
• Familiarity with search technologies such as Elasticsearch and Apache Solr, with added advantage for those experienced in AI-driven search and NLP.
• Sound knowledge on scalability, reliability, fault tolerance, and performance optimization principles.
• Expertise in CI/CD, Test Driven Development, and DevOps tools, including Docker, Kubernetes, and infrastructure as code.
• Strong competencies in solving problems, making decisions, and managing stakeholders effectively.
• Experience managing engineering teams within Agile frameworks, especially using Scrum and Jira.