Engineering Manager

Job Overview:

As an Engineering Manager, you will:

• Lead talented engineers by providing technical guidance, mentorship, delivery ownership, and strategic direction.
• Contribute to solving complex scale, architecture, data, and AI-driven product problems.
• Collaborate closely with Product, Design, Platform, DevOps, Security, and other engineering teams.
• Help design and build core product features aimed at predicting, quantifying, and preventing cyber breaches.
• Drive modern engineering practices, including AI-assisted coding, effective usage of tools like Cursor / GitHub Copilot / LLMs, and practical application of LLM-based systems such as RAG, agents, prompt engineering, and evaluation frameworks.

Core Responsibilities

• Technical Leadership: Lead, mentor, and inspire a team of engineers, fostering a culture of ownership, continuous learning, growth, collaboration, and engineering excellence.

• Technical Strategy: Define and execute the technical strategy and roadmap for your team, aligning it with business objectives, product priorities, customer commitments, and organizational goals.

• Code Review: Conduct thorough code reviews to maintain code quality, improve maintainability, identify refactoring opportunities, and provide constructive feedback to team members, including on AI-generated code.

• AI-Assisted Engineering: Drive adoption of AI-assisted coding and productivity tools such as Cursor, GitHub Copilot, ChatGPT, Claude, or similar tools for development, testing, debugging, documentation, codebase exploration, and refactoring.

• LLM Awareness: Bring practical knowledge of LLMs, prompt engineering, RAG, AI agents, vector stores, model evaluation, and LLM observability, and guide teams in applying these concepts responsibly in product and engineering workflows.

• Problem Solving: Troubleshoot and resolve complex technical issues, identify root causes, and implement effective long-term solutions across microservices, distributed systems, data platforms, and production environments.

• Collaboration: Collaborate closely with product managers, designers, architects, DevOps, security, and other stakeholders to ensure alignment between technical solutions, product outcomes, customer needs, and business objectives.

• Project Management: Lead the planning, execution, and successful delivery of features, ensuring they are completed on time, within scope, and to the highest quality standards.

• Technical Excellence: Drive innovation and adoption of best practices in development, architecture, testing, observability, security, performance, cost optimization, and modern AI-native engineering practices.

• Architectural Guidance: Be a thoughtful technical voice and support your team in making diligent architectural decisions across APIs, microservices, event-driven systems, cloud infrastructure, data stores, and AI-enabled capabilities.

• Production Ownership: Ensure your team owns production quality through observability, incident management, RCA, bug hygiene, performance tracking, SLOs, and continuous reliability improvements.

• Performance Management: Conduct regular performance evaluations, provide feedback, support professional growth, and coach engineers on technical depth, ownership, communication, and execution.

Qualifications/ Essentials Skills/ Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• Minimum of 8 years of proven experience in software engineering, with at least 2 years in an engineering management role.

• Strong hands-on experience in server-side technologies such as Node.js, TypeScript, Python, Go, or similar technologies.

• Strong understanding of modern web development technologies such as React, Angular, Vue.js, or similar frameworks.

• Strong knowledge of SQL and NoSQL databases, with experience optimizing database performance at scale.

• Experience with modern cloud-native and distributed systems using technologies such as AWS, ECS/Fargate, S3, SQS, Lambda, RabbitMQ, Kafka/MSK, Redis, Snowflake, ScyllaDB, DynamoDB, MySQL, or PostgreSQL.

• Experience with observability and production engineering practices using tools such as OpenTelemetry, Sentry, Observe.io, structured logging, metrics, traces, dashboards, and alerts.

• Practical experience using AI-assisted coding tools such as Cursor, GitHub Copilot, ChatGPT, Claude, or similar tools to improve development productivity and engineering quality.

• Good working knowledge of LLM concepts, including prompt engineering, RAG, agents, vector databases, model evaluation, hallucination mitigation, and LLM-based product workflows.

• Demonstrated track record of delivering high-performance, scalable, secure, and reliable platforms in a fast-paced agile environment.

• Exceptional leadership and communication skills, with a strong drive to mentor and guide a team of developers toward technical excellence.

• Experience managing and coaching 4-8 member teams and delivering high-quality projects on time.

• Ability to balance people leadership, delivery ownership, architectural thinking, and hands-on technical depth.

• Experience in cybersecurity, enterprise SaaS, risk management, CTEM, TPRM, CRQ, compliance, or related domains is a plus.