#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.