#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.