Role Overview:

The company is seeking a visionary Engineering Leader to drive innovation and scale its cloud platform. Reporting to the VP of Engineering, this strategic role will define and execute the engineering strategy, develop scalable SaaS platforms, and leverage AWS/Azure cloud technologies to deliver cutting-edge solutions.

Key responsibilities include architecting large-scale cloud services, creating developer-friendly APIs, and building a millisecond-latency event processing pipeline.

The Director of Engineering will build, grow, and mentor a high-performing team, set goals, and foster a culture of innovation and continuous learning.

The ideal candidate has a strong background in CloudOps, SaaS platforms, system architecture, and a proven track record of leading teams to deliver at scale.

Key Responsibilities:

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Strategy & Implementation

• Lead the design, architecture, and implementation of the Cloud Management Platform, ensuring scalability, reliability, and performance.
• Define system architecture across offerings and guide teams in AWS and cloud-native technologies.
• Establish design reviews and development best practices to ensure high-quality software delivery.

Leadership & Team Development

• Articulate and drive the engineering vision in alignment with organizational goals.
• Build, mentor, and scale a high-performing team, fostering a culture of learning, collaboration, and innovation.
• Ensure effective knowledge sharing through technical documentation and knowledge sessions.
• Inspire and motivate the team, drive cross-functional synergies and have impact in the overall organizational decision making

Process Optimization & Continuous Improvement

• Implement best practices across IaC, automation, DevOps, and security.
• Drive incident response, resilience, and compliance while optimizing performance and costs.
• Enhance agile development, CI/CD pipelines, and operational efficiency.

Innovation & Technology Advancement

• Identify and integrate emerging cloud technologies (serverless, microservices, edge computing).
• Drive AI-powered automation, self-healing systems, and intelligent infrastructure optimization.

Budgeting & Cost Management

• Oversee budgeting, expense monitoring, and financial planning for the engineering department

Desired Skills and Requirements

Must Have

• Lead the design and development of scalable, resilient, and high-performance SaaS platforms on AWS with 14+ years of software development experience.
• Drive architecture decisions for distributed systems with 5+ years of experience building cloud-native products.
• Manage high-performing engineering teams with 5+ years of leadership experience, including leading managers and cross-functional squads.
• Architect and implement serverless systems and event-driven platforms with 3+ years of hands-on expertise.
• Leverage event streaming technologies such as Kafka, OpenSearch/ElasticSearch, AWS Kinesis, or Azure Streams with 3+ years of deep experience.
• Code and review software built in Python, Java, or Go, backed by 5+ years of strong programming experience.
• Design and deploy low-latency, high-performance APIs at scale with at least 3+ years of expertise.
• Implement containerization and orchestration best practices using Docker and Kubernetes in production for 3+ years.
• Automate infrastructure deployments and manage environments as code using Terraform or AWS CloudFormation for 3+ years.
• Champion cloud-native security practices, including IAM, encryption, and compliance at scale.
• Communicate technical strategies effectively to executive teams, product leaders, and engineering organizations.
• Shape technical roadmaps through strategic decision-making aligned with business goals and growth targets.

Good to Have

• Integrate AI/ML systems and Large Language Models (LLMs) into scalable production environments.
• Build and optimize data platforms and real-time analytics pipelines to enhance product intelligence.
• Expand cloud operations across multi-cloud infrastructures (AWS, Azure, GCP) to enhance resiliency and flexibility.
• Establish observability and monitoring frameworks using tools like OpenTelemetry, Datadog, or Prometheus.
• Optimize cloud spend and resource allocation by implementing cost-effective cloud-native architectures.
• Scale and manage globally distributed engineering teams to accelerate development velocity.
• Contribute to executive-level and board-level technical strategy discussions, bringing a product and business-oriented mindset.

Education

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