Director - Software Engineering

About the Role
As Director - Software Engineering, you will lead multidisciplinary engineering teams responsible for building and operating production AI products and platforms. You will set the technical direction, strengthen engineering execution, and ensure that software, data, and machine learning systems are reliable, secure, and scalable. The role covers product delivery, architecture, quality, DevSecOps, and applied R&D in a high-ownership environment focused on real-world deployment.

Responsibilities

• Set engineering direction and execution priorities in line with the product, technology, and business objectives.
• Lead, develop, and support engineering managers and senior technical leaders across multidisciplinary teams.
• Build an engineering culture grounded in ownership, technical rigor, collaboration, and continuous improvement.
• Drive planning and delivery across complex engineering initiatives, making clear trade-offs across scope, time, resourcing, cost, and quality.
• Guide architecture and technical decisions across software platforms, data infrastructure, machine learning pipelines, and model deployment systems.
• Improve the scalability, reliability, performance, and operability of production data and ML systems.
• Establish engineering standards for data management, MLOps, testing, release quality, observability, and operational readiness.
• Embed security and compliance into the software development lifecycle through practical DevSecOps controls and automation.
• Sponsor focused R&D initiatives, evaluate emerging technologies, and move credible experiments into production capabilities.
• Collaborate closely with Product, Data, AI/ML, Security, and Enterprise Architecture to align technical execution with customer and business outcomes.
• Create clear operating mechanisms for delivery health, technical risk, engineering quality, and team effectiveness.
• Communicate engineering strategy, progress, trade-offs, and outcomes clearly to technical and executive stakeholders.

Qualifications

• Strong engineering fundamentals and a demonstrated track record of leading diverse engineering teams through complex delivery.
• Experience shipping and operating production software, data, or machine learning systems at meaningful scale.
• Deep understanding of data infrastructure, MLOps, quality engineering, DevSecOps, and the software development lifecycle.
• Ability to translate company objectives into technical strategy, operating plans, architecture priorities, and measurable outcomes.
• Sound systems thinking and judgment across reliability, security, performance, cost, and delivery speed.
• Strong communication skills, with the ability to align technical teams and explain decisions to senior stakeholders.
• Comfort operating in ambiguity, resolving competing priorities, and taking accountability for execution.
• Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.

Nice to Have

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with regulated, multi-tenant, high-availability, or national-scale platforms.
• Exposure to applied AI products, research collaborations, or production model-serving environments.
• Experience leading platform modernization, organizational scaling, or engineering operating-model changes.

What We Look For
Performance-driven, inquisitive minds who can adapt to ambiguity will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. A bias for action and a passion for conquering new frontiers in the AI space is at the heart of the community.

What Working At the company Offers

• Culture: An open, diverse, and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
• Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.
• Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.