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CloudFactory
Development 1h ago

Director of Engineering

CloudFactory
Costa RicaCosta Rica
Full-time
Not Disclosed
Lead/Manager

Job Description

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As Director of Engineering, you will set the technical vision and architectural direction for CloudFactory's engineering organization, ensuring our software delivery is scalable, reliable, and aligned with business strategy. You will partner with senior business leadership on technology strategy, lead and develop engineering leaders and teams, and oversee quality, security, and compliance standards across the organization. This is a high-impact leadership opportunity to shape CloudFactory's engineering future while contributing to a mission-driven organization.

Please note: This is a full-time, fixed-term employee position with an expected duration of 6 months.

Responsibilities:

Engineering vision and strategy

  • Define the product and engineering vision that guides software development priorities across all teams.
  • Set the long-term technology vision for the organization, partnering with business leadership on technology strategy.
  • Monitor industry trends and identify potentially disruptive technologies that could significantly impact the software landscape.

Technology and architecture leadership

  • Make final decisions on technology adoption and select the technology stack used across engineering.
  • Define architectural principles that guide design decisions across projects within the organization.
  • Champion best practices for architecture and design, and review high-level architecture decisions for alignment with the overall technology vision.

Organization-wide software delivery

  • Oversee software delivery across all engineering teams, ensuring alignment with business objectives and timelines.
  • Manage stakeholder expectations regarding product development timelines.
  • Oversee communication and collaboration with external technology providers and dependencies.

Quality, reliability, and security

  • Define quality standards that engineering teams must adhere to during development and testing.
  • Invest in testing tools, infrastructure, and monitoring systems, and oversee the development of disaster recovery plans.
  • Define security policies and compliance goals for the engineering organization, and manage the technology budget to support secure coding training and compliance efforts.
  • Partner with legal and security teams to ensure a comprehensive approach to security and compliance.

People leadership and talent development

  • Lead and motivate engineering teams to achieve high performance, developing clear performance goals aligned with organizational objectives.
  • Implement talent management initiatives, such as training programs and mentorship opportunities, to build organizational capability.
  • Build a strong talent pipeline to support the organization's future engineering needs.

Process and continuous improvement

  • Define key engineering metrics and tie them to business goals, monitoring overall trends in team productivity.
  • Allocate and prioritize resources for process improvement initiatives that will yield the most significant benefits.
  • Communicate process changes clearly and effectively across the organization.

Requirements

Must-have skills (required)

  • 10+ years of progressive software engineering experience, including 3+ years in a senior engineering leadership role.
  • Extensive experience in software engineering, including significant experience leading engineering teams and departments.
  • Proven track record setting technical vision and architectural principles across multiple teams or an entire engineering organization.
  • Strong experience selecting and evaluating technology stacks, and managing complex external technology dependencies and vendor relationships.
  • Deep understanding of software quality, testing infrastructure, and monitoring practices at scale.
  • Experience defining and managing security policies, compliance programs, and technology budgets.
  • Strong people leadership skills, with a track record building high-performing engineering teams and talent pipelines.
  • Excellent stakeholder management skills, able to manage expectations with senior business leadership regarding product and technology timelines.
  • Strategic mindset, able to align technology decisions with overall business objectives.

Academic and professional requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree a plus.

Nice-to-have skills (preferred)

  • Experience leading engineering teams in a global, distributed organization.
  • Experience with cloud-native and AI/ML-adjacent technology stacks.
  • Track record of scaling engineering teams and organizations through periods of high growth.

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CloudFactory is a premier, enterprise-grade human-in-the-loop (HITL) AI data platform powerhouse engineered to orchestrate massive-scale data-annotation ecosystems and intelligent, frictionless machine-learning workflows. Operating as a bridge between AI model development and real-world performance, the company eliminates the operational friction of traditional, manual data-labeling models—which frequently suffer from quality-control bottlenecks, opaque edge-case handling, and fragmented workforce management—by seamlessly deploying advanced AI-assisted annotation telemetry, rigorous human-expert validation architectures, and cohesive cross-lifecycle model-monitoring frameworks. Moving beyond rigid legacy data-labeling paradigms, CloudFactory empowers global AI leaders to dynamically synchronize their computer vision, NLP, and RLHF pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—bolstered by a global workforce of 7,000+ expert data analysts—natively manages complex global multi-region data ingestion, instantaneous automated quality-routing, and compliance-hardened security workflows, providing the necessary operational foundation for the modern, high-velocity AI-driven economy. What sets CloudFactory apart is its uncompromising dedication to frictionless operational-orchestration; by bridging the gap between highly technical, performance-intensive AI-training demands and scalable, accessible human-intelligence interfaces, the firm empowers modern engineering organizations to radically accelerate their model-deployment velocity, eliminate systemic quality-bottlenecks, and build an unassailable foundation for continuous commercial and institutional dominance in the modern, AI-transformed global-technology landscape.

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