Sr Engineer

Architect and Lead : Design, maintain, and optimize opinionated, self-service developer paths and observability frameworks that ensure reliability, resilience, and cost-effectiveness at scale, eliminating manual toil and one-off team integrations.

Drive Reliability Standards: Lead the definition, implementation, and automated enforcement of Service Level Objectives (SLOs) and Service Level Indicators (SLIs), providing product teams with self-service frameworks to manage their own error budgets, fostering a culture of measurable reliability.

Manage Complex Telemetry: Drive the strategy for high-cardinality data management and distributed tracing using standards like OpenTelemetry, guiding product teams toward self-sufficiency in debugging and performance tuning without unchecked cost sprawl.

Optimize Financial Efficiency: Implement and refine critical performance and FinOps observability metrics (E.g., Cost per deployed service, utilization rates) to enable product teams to autonomously manage their cloud footprint.

​ Collaborate Strategically: Work closely with Finance, Infrastructure, and Engineering Leadership to gather requirements, clarify efficiency objectives, and build transparent showback models of engineering costs to the business.

Mentor and Empower: Provide guidance and mentorship to junior and mid-level engineers, helping them master performance optimization, FinOps observability practices, and effective monitoring strategies.

Scale for the Future: Collaborate with Principal and Distinguished Engineers to design scalable observability architectures that align with the long-term business growth and infrastructure sustainability.

Resolve and Innovate: Analyze complex performance bottlenecks and cost inefficiencies, propose innovative solutions, and take ownership of their resolution in production environments.

Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

4+ years of professional software development and systems engineering experience, with a heavy emphasis on Observability, Site Reliability Engineering (SRE), or FinOps.

Expertise in one or more programming languages such as Golang, Java, Python, or C++.

Deep technical knowledge of modern observability frameworks, specifically OpenTelemetry, and proven experience managing high-cardinality telemetry data.

Demonstrated experience in defining, measuring, and operationalizing SLOs and SLIs within large-scale microservices or distributed systems.

Strong understanding of performance and FinOps observability practices, with the ability to measure infrastructure efficiency and implement engineering cost showback models.

Excellent analytical skills, with the ability to identify the root causes of complex performance issues or cloud cost anomalies and develop effective, automated solutions.

Strong leadership, communication, and collaboration skills, with the ability to work effectively across technical teams and align engineering efforts with Finance and business stakeholders.

Proven track record of building opinionated developer tools, self-service frameworks, or platform abstractions that serve entire engineering organizations rather than handling one-off ticket requests.

Proficiency in languages like Golang or Python to build automated platform tooling, SDK wrappers, and infrastructure abstractions.

Experience working with cloud platforms (e.g., GCP, AWS, Azure) and modern software architectures such as microservices

Familiarity with DevOps practices, automation tools, and containerization (e.g., Docker, Kubernetes)

Experience working on large-scale software systems or projects in a team environment

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