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.