Job Opportunities API

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.