We are seeking a results-oriented Director of Engineering to lead our engineering organization through a period of accelerated innovation, automation, and growth. This role will be instrumental in delivering hc1’s next generation of high-quality, AI-enabled products by streamlining development workflows, embedding automation (including QA automation) into our SDLC, and ensuring that engineering excellence drives business outcomes.
What you’ll do :
- Lead and Scale the Engineering Team : Build, mentor, and inspire a high-performing team of architects, engineers, and QA professionals to meet hc1’s technology and business goals
Drive Automation and AI Adoption :
Identify opportunities to streamline manual tasks across the SDLC (e.g., QA, deployment, monitoring)Champion the use of AI tools for code review, defect detection, test case generation, and performance monitoringDeliver High-Quality Products :
Ensure all software releases meet rigorous quality standards, with a focus on scalability, reliability, and user experienceCollaborate with Product Management to translate requirements into elegant, functional software solutionsTranslate AI ideas into production-ready software solutionsEnhance Engineering Processes :
Implement agile best practices, CI / CD pipelines, and test-driven development frameworks to improve throughputOptimize workflows for cross-functional collaboration between engineering, product, and client success teamsAlign Technology with Business Outcomes :
Partner with stakeholders to ensure that engineering priorities align with company OKRs, growth objectives, and customer value creationContribute to technical roadmaps and architectural decisions that enable future scalabilityFoster a Culture of Innovation :
Encourage experimentation with emerging tools, frameworks, and methodologiesPromote knowledge-sharing and continuous learning within the teamOwn Departmental Performance :
Monitor engineering KPIs (velocity, quality, automation coverage, satisfaction metrics) to identify areas of improvementComplete other duties as assignedRequirements
What you bring :
Experience : 8+ years of progressive software engineering experience, with 5+ years leading teams in a SaaS, cloud-native environmentProven Expertise in Automation : Hands-on experience implementing automated testing frameworks, CI / CD pipelines, and DevOps practices. Exposure to AI-driven QA or development tools is a strong plusTechnical Leadership : Experience with delivering customer facing AI / ML solutions. Deep understanding of modern architectures (microservices, event-driven systems) and ability to guide solution design decisionsCommitment to Quality : Track record of delivering robust, scalable, and secure products on time and on budgetBusiness Acumen : Ability to align technology initiatives with business strategy and communicate value to executive stakeholdersCollaboration Skills : Adept at cross-functional leadership, working with Product, Marketing, and Customer Success teams to drive resultsMindset : Curious, data-driven, and willing to roll up sleeves to solve complex challengesAI technology : AWS Bedrock, Sagemaker, LLMContainer technologies : Docker, ECSCloud infrastructure : AWS (EC2, SQS, S3, Lambda)Tooling : Github, Jenkins, TravisCI, Artifactory, JIRA#J-18808-Ljbffr