Software Engineer (Observability)

Before you apply

Job source

Ats

Applying on

job-boards.greenhouse.io

Workplace

Fully remote

US state

Nationwide remote

Category

IT

Link last checked

2 hours ago

Posted

2 months ago

Closes

No stated closing date

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About the role

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to  hundreds of thousands of businesses  and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.  . See yourself at Twilio  Join the team as our next Software Engineer on Twilio’s platform engineering observability team. About the job This position is needed to help our platform engineering observability team. Twilio is undergoing a large-scale observability transformation—and you can help shape the foundation. Observability is a strategic pillar and a key enabler for faster incident response, deeper customer-centric insights, and more cost-effective platform operations. As a Software Engineer on the Platform Observability team, you’ll play a critical role in re-architecting how telemetry flows and is utilized through Twilio—making it structured, accessible, affordable, and actionable. Over the next 3 years, Twilio is rebuilding nearly every component of our observability platform, from data collection to real-time analytics. You will drive core initiatives that shift Twilio from fragmented tooling and wasteful data sprawl to a unified, OpenTelemetry-first observability stack built for scale. You’ll lead technically and strategically—designing platform components, influencing org-wide architectural decisions, mentoring engineers, and engaging directly with teams across Platform Engineering and R&D Responsibilities In this role, you’ll: Lead the end-to-end architecture and delivery of key observability platform components, with a focus on reliability, scalability, and usability. Drive consistency and quality across all observability signals—logs, metrics, traces, and continuous profiling—building intuitive workflows for engineers. Serve as a technical advisor and mentor across the platform org, guiding design decisions and aligning cross-team efforts with long-term architectural goals. Go deep in one or more problem areas (e.g., high-cardinality telemetry, distributed tracing correlation, compute cost insights), while ensuring the platform scales horizontally. Collaborate with product teams, SREs, and developer experience groups to deeply understand telemetry needs and integrate observability into core engineering workflows. Design and build developer-friendly tooling and APIs to support incident response, performance analysis, and platform debugging at scale. Leverage (and optionally contribute to) open-source standards like OpenTelemetry to ensure interoperability and extensibility. Champion a pragmatic approach to observability—balancing performance, cost, and user value across diverse engineering teams. Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Proven expertise in building and scaling observability systems (e.g., logging platforms, metrics pipelines, tracing infrastructure, or profiling tools). Lead tec

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