Collaborate closely with Product, Support, Operations, and Engineering teams to deliver enhanced reliability, user experience, and operational transparency.
Evaluate and adopt new technologies, driving continuous improvement in pipeline scalability, observability, cloud integration, and AI-powered innovation.
Who you’ll work with
You will join a high-performing engineering team with
A strong focus on innovation, continuous learning, and open communication.
Commitment to mutual respect and empowering team members in a collaborative environment.
Support for diverse perspectives and fostering professional growth through mentorship and shared ownership.
A culture that values ownership, accountability, and creativity in a dynamic, impact-driven engineering environment.
What makes you a qualified candidate
Bachelor’s or Master’s degree in Computer Science, Engineering, or related disciplines.
10+ years of relevant industry experience, including 2+ years in management roles.
Demonstrated proficiency with AI technologies, including leveraging AI to drive innovation and efficiency.
Strong programming skills (Java, Python/Go) and experience building distributed systems.
Proven experience in product development and ownership of core platforms or user-facing features.
Working experience with Docker, Kubernetes on cloud and on-premises
Ownership, accountability, and creativity in a dynamic, impact-driven engineering environment.
What you’ll bring
You will be preferred if you have
Experience designing and scaling observability frameworks or telemetry pipelines.
Practical experience integrating with tools/frameworks such as OpenTelemetry, Prometheus, Grafana, Datadog, Splunk.
Excellent communication, teamwork, and leadership skills.
Proven problem-solving skills, initiative, and a proactive engineering mindset.
#LI-PG1
