Lead Software Engineer - Observability Infrastructure Monitoring (33029)

About the Role

Key Responsibilities

• Operates as a lead engineer, independently executes tasks as determined and owns the outcomes.
• Own and organize processes for the team such as sprint planning, retrospectives, backlog refinements, program increment (PI) planning, and more.
• Understand the business direction and is able to promote innovative ideas and acquire alignment with multi-functional teams; can influence PM on features, product direction and priority.
• Collaboratively lead design discussions under technical purview, ensuring both functional & non-functional requirements (like scale, security, operability, usability, etc) are considered.
• Lead the development of new product features, clarify and improve designs, help put together a plan for how to make it happen; participate in code review.
• Build relationships with cross-area teams to effectively understand dependencies, gain alignments and set up collaborations.
• Grow senior engineers through design & code review, tech seminars, mentoring, pair-programming, etc.
• Take actions to improve the team's engineering and operational practices.

Requirements

• Proven track record of architecting, designing, and delivering complex, large-scale backend systems.
• Expertise in Golang for backend development; experience with Python or Java is a plus.
• Strong hands-on experience with OpenTelemetry, Prometheus, and Grafana for observability and monitoring in distributed environments.
• Deep understanding of microservices architecture and distributed systems, ensuring scalability, performance, and reliability.
• Experience developing cloud native applications in Kubernetes, or Openshift, Server clusters in distributed environments in AWS, GCP clouds or on-prem clusters.
• Rich experience with 1 or more relational databases & NoSQL databases.
• Knowledge and experience leveraging AI technologies is a BIG plus and desirable.
• Knowledge and experience using observability tools would be an advantage.
• Ability to drive architectural decisions, set technical direction, and mentor engineers, fostering a culture of excellence and innovation.
• Strong communication skills, both verbal and written.
• Bachelor's degree in Computer Science, Computer Engineering or related majors; approximately 8-10 years of relevant and proven experience.

Nice to Have

• Experience with Python or Java.
• Knowledge and experience leveraging AI technologies.
• Experience using observability tools.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering or related majors.
• Approximately 8-10 years of relevant and proven experience.

Benefits & Perks

• Competitive benefits package including medical, dental, vision, a 401(k) plan and match, paid time off, and more.
• Incentive compensation and potential equity or long-term cash awards.
• Flexible working arrangements including remote and in-office roles.
• Paid holidays, vacation time, sick leave, and additional time off for volunteering and emergencies.
• Access to quality insurance and wellbeing offerings.