• Lead, grow, and coach a Platform Engineering team, hiring and developing engineers from junior through staff level. • Own roadmap delivery and technical quality for platform capabilities spanning cloud infrastructure, Kubernetes, CI/CD, observability, and developer tooling. • Champion a “platform as a product” mindset — treat internal developers as customers, gather feedback, and prioritize based on developer experience (DevEx) impact. • Own operational excellence for the team's services: on-call philosophy, incident response, and blameless post-mortems, fostering psychological safety after production incidents. • Evaluate build-vs-buy decisions for internal tooling versus third-party SaaS solutions. • Operate within a regulated environment — ensure delivery speed does not compromise compliance or security requirements (e.g., GLI, state/country betting & gaming regulations) in CI/CD and infrastructure changes. • Evaluate and help roll out AI-assisted engineering tools (e.g., AI coding assistants, log analysis) across the distributed team without compromising security. • Communicate platform health, roadmap, and outcomes clearly to engineering leadership and stakeholders using business and platform success metrics.

Role Description Nebula is KLDiscovery’s flagship eDiscovery platform: a cloud-based SaaS product that carries legal teams from data ingestion through early case assessment, review, and production. With Nebula AI capabilities such as ECAi early case assessment, document summarization, and PII and PHI detection now central to the roadmap, the engineering organization behind Nebula is entering its most ambitious phase yet. The Director, Software Engineering owns delivery for that organization. Leading managers and a team of engineers, this role is accountable for: - Shipping the Nebula roadmap predictably. - Keeping the platform fast and reliable at scale. - Building the team that does both. The role reports to the EVP, IT and Engineering and partners daily with Product, Design, and the senior leadership team. Job location: Remote (but candidate must be based in the United States) Key Responsibilities - Delivery and execution: Run the Nebula development lifecycle end to end: quarterly planning, sprint execution, release management, and post-release quality. Set and track engineering metrics such as cycle time, escaped defects, and availability, and use them to raise predictability rather than to police teams. Surface risk early and remove roadblocks so teams can stay focused. - Cloud platform and scale: Advance the platform architecture with your senior engineers: multi-tenant scalability, performance on very large data volumes, cost efficiency, and the reliability clients expect from a system entrusted with litigation data. Sponsor modernization work in areas like service architecture, infrastructure automation, and observability, and balance it honestly against feature delivery. - AI capabilities: Partner with Product and applied research to take AI features such as ECAi, summarization, and sensitive-data detection from prototype to production quality, including model evaluation, guardrails, cost control, and the security and privacy review that legal-sector clients demand. - People leadership: Hire, coach, and grow engineering managers and senior individual contributors. Own org design, performance management, career development, and succession for the group, building a team where senior talent is well leveraged and junior talent has room to grow. - Partnership: Act as the engineering voice for Nebula with executives, Product Marketing, and Client Services, and occasionally with clients and prospects. Translate 12 to 18 month business objectives into a technical strategy the teams can execute. - Planning and budget: Own headcount planning, third-party technology relationships, and the engineering budget for the group, with monthly forecasting and variance reporting. Qualifications - 10+ years in software engineering, including 5+ years managing engineers and experience managing managers. - A track record of shipping and operating commercial SaaS products on a major cloud platform. - Experience delivering AI- or ML-powered product features to production, or close partnership with teams that did. - Fluency in modern delivery practice: agile at scale, CI/CD, automated testing, and observability. - Demonstrated success hiring and developing engineering leaders in a remote or distributed organization. - Clear, direct communication with executives and non-technical stakeholders. - A bachelor’s degree in computer science or a related field, or equivalent practical experience. Nice to Have - Experience in eDiscovery, legal technology, or another regulated, data-intensive domain. - Familiarity with large-scale search and document-processing pipelines and with SOC 2 or ISO 27001 environments. Benefits - Competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. - Market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. - Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is $190,000 to $225,000.

• Lead the strategy, execution, and day-to-day engineering operations for a key Protect domain, with a focus on reliability, delivery quality, and technical health. • Manage, mentor, and grow a team of engineers, building a culture of ownership, continuous improvement, and strong technical execution. • Stay close to the architecture and implementation details, moving comfortably between planning, technical design, and operational problem-solving when needed. • Partner with Product, Research, SRE, and adjacent engineering teams to prioritize work, remove bottlenecks, and deliver scalable solutions in a multi-cloud environment. • Strengthen engineering fundamentals across your area, including observability, incident response, quality practices, CI/CD, and team operating cadences. • Use data, metrics, and technical judgment to identify systemic issues, improve team effectiveness, and raise the bar on execution.

• Lead and Build the Team (the “coach”) • Architect and Engineer the Platform (the “player”) • Strategy and Business Alignment • Governance, Security, and Compliance