#127606 - Senior Software Engineer / SRE (Observability Focus)

We are seeking a Senior Software Engineer / SRE with a strong observability focus to support platform reliability, monitoring, and modernization initiatives. This role combines approximately 60–70% software engineering with 30–40% site reliability engineering and requires hands-on experience working with Kubernetes, cloud infrastructure, observability platforms, APIs, and operational automation. The successful candidate will help build and operate observability capabilities across containerized and microservices-based environments while proactively improving platform reliability, scalability, and performance. Enterprise experience strongly preferred. Key Responsibilities: - Design, build, and maintain software, APIs, integrations, and automation that support platform reliability and observability. - Support monitoring, reliability, maintenance, and continuous improvement across internal platforms and systems. - Work in Kubernetes-based environments across deployment, operations, and monitoring activities. - Build and maintain observability solutions with a focus on Datadog. - Configure dashboards, alerts, application performance monitoring, tracing, metrics, and logging. - Monitor containerized and microservices-based applications. - Integrate observability platforms and monitoring capabilities into AWS environments. - Integrate observability capabilities into CI/CD pipelines and deployment processes. - Automate monitoring and operational tasks through scripting, with Python preferred. - Install and configure Datadog agents and integrations. - Manage observability API keys and secure configurations. - Manage user roles, permissions, and access controls within observability platforms. - Lead proactive maintenance efforts and platform improvements. - Drive improvements in reliability, scalability, performance, and operational efficiency. Must-Have Skills: - Strong proficiency in at least one of Python, JavaScript using Node.js, or Java. - Hands-on experience designing, consuming, and implementing API integrations. - Strong Kubernetes experience covering deployment, operations, and monitoring. - Hands-on experience with Datadog or a comparable observability platform such as Prometheus or Grafana. - Experience configuring dashboards, alerts, application performance monitoring, tracing, metrics, and logging. - Experience monitoring containerized and microservices-based architectures. - Hands-on AWS experience. - Experience integrating observability tooling into cloud environments. - Experience integrating observability capabilities into CI/CD pipelines. - Ability to automate monitoring and operational work through scripting. Nice-to-Have Skills: - Strongly preferred experience owning and operating an internal engineering platform. - Strongly preferred experience owning reliability, scalability, and performance outcomes. - Strongly preferred experience proactively leading maintenance efforts and platform improvements rather than providing only reactive support. - Familiarity with Go or Golang. - Experience with New Relic, Dynatrace, Elastic, or Splunk Observability. - Experience working across multiple observability and monitoring platforms. Required Tools & Platforms: - Python, JavaScript using Node.js, or Java - Kubernetes - Datadog, Prometheus, Grafana, or a comparable observability platform - AWS - CI/CD pipelines - APIs and integration tooling - Application performance monitoring, tracing, metrics, logging, dashboards, and alerting tools Location, Time & Engagement: - Remote contract opportunity. - Candidates must be located in APAC. - Ability to provide overlap with Japan Standard Time is preferred. - Full-time allocation of 40 hours per week. - Expected contract end date is March 31, 2027.