• Design and Implementation (60%) • Evaluate incident and change management frameworks using data-driven insights to identify opportunities for improvement that will provide value to the EIM team and engineering teams. • Design and implement automation solutions for incident response and management, change management, and observability leveraging input and feedback from domain SMEs and end users. • Develop and maintain scripts, tools, and integrations to reduce manual processes and operational overhead. • Define key performance indicators (KPIs) and metrics to measure the success of automation and improvement efforts and develop and enhance dashboards and reporting mechanisms to measure KPIs as well as incident and change management performance. • Ensure compliance with governance, risk, and change control policies while promoting agility and innovation. • Lead cross-functional initiatives and partner with domain SMEs to analyze, design, and deliver powerful features, capabilities, and automation strategies that align with engineering best practices. • Serve as a subject matter expert (SME) for cloud operations, infrastructure automation, and CI/CD pipelines. • Strategy, Operations Support, and Communication (25%) • Collaborate with the EIM team’s director and other technology leaders to understand business objectives and team goals and to align solutions and process improvement efforts with those goals. • Contribute to the long-term technology strategy by researching emerging trends, evaluating new tools (especially AI-driven tools that support observability), and recommending technologies or automations that improve cost-effectiveness, metrics delivery to evaluate performance, and system and process efficiency. • Participate in weekly on-call and incident response rotations responsible for monitoring alerts to identify potential issues, ensuring timely triage and escalation of incidents, collaborating with impacted teams, and supporting assessment, response, and communication to bring the incident to resolution. • Play an active role in agile scrum ceremonies while contributing to high-quality team deliverables. • Team Coordination (15%) • Provide technical direction and guidance to team members, ensuring alignment with architectural standards, best practices and organizational objectives. • Review designs, automation scripts, and implementation plans, offering constructive feedback to improve quality, efficiency, and maintainability. • Foster a culture of continuous learning and collaboration by mentoring engineers in modern automation, cloud infrastructure, and operational excellence.

• We believe that innovation is, above all, an attitude. • Driving a change in our people’s mindset — fostering entrepreneurship, resilience, understanding of Qintess’s value proposition, and day-to-day engagement.

• Working under our professional services division. • Be an embedded Linux expert in the customer engineering team and enable customers in doing their embedded SW development. • Design, develop, and refactor real-time software architectures and modular software components. • Reproduce, isolate and debug complex low-level problems that may span interfaces between hardware and software. • Collaborate with the customer and internal teams to always enhance the overall project experience. • Contribute to the overall product design to help customers through various aspects of their product lifecycle. • Working closely with the team to ensure the project deadlines are met and risks/issues are proactively identified and communicated to the customer. • Ensure high quality of our deliverables. • Developing technical proposals to help customers make technical decisions.

• Lead a small, high-velocity engineering team while staying hands-on with production code. • Design, build, and launch AI-powered product features quickly and iterate based on customer usage. • Partner closely with Product, Design, and GTM to deliver features that solve real customer problems. • Translate AI capabilities into intuitive, production-ready experiences. • Make fast, pragmatic technical decisions that keep momentum high. • Balance speed with reliability, scalability, and long-term maintainability. • Establish lightweight engineering practices that support frequent releases. • Mentor and coach engineers through code reviews, pairing, and design discussions.