Job Description
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.
Qualifications
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.
Additional Information
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.
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