About the Position

We are looking for a Senior Site Reliability Engineer to support platform reliability, monitoring, and modernization across Kubernetes-based microservices environments with a strong observability focus. You will build and maintain Datadog solutions including dashboards, alerts, APM, metrics, logging, and tracing, integrate observability tooling into AWS and CI/CD pipelines, and automate monitoring and operational tasks using Python. The role blends software engineering (60–70%) with site reliability engineering (30–40%) and requires JST timezone overlap.

Responsibilities

Support platform reliability, monitoring, and continuous improvement across internal systems.
Work in Kubernetes-based environments.
Build and maintain observability solutions, with a focus on Datadog.
Configure dashboards, alerts, APM, metrics, logging, and tracing.
Monitor containerized and microservices-based applications.
Integrate observability tools into AWS environments.
Integrate observability into CI/CD pipelines.
Automate monitoring and operational tasks using scripting (Python preferred).
Install and configure Datadog agents and integrations.
Manage API keys and secure configurations.
Manage user roles and access controls within observability platforms.
Lead maintenance efforts and platform improvements while driving reliability, scalability, and performance.

Requirements

Strong proficiency in Python, JavaScript (Node.js), or Java.
Hands-on experience with API integrations (designing, consuming, and integrating).
Strong experience working in Kubernetes environments (deployment, operations, monitoring).
Experience with Datadog (preferred) or similar tools (Prometheus, Grafana).
Ability to configure dashboards, alerts, and APM (tracing, metrics, logging).
Experience monitoring containerized/microservices architectures.
Hands-on experience with AWS.
Experience integrating observability tools into cloud environments.
Experience integrating observability into CI/CD pipelines.
Ability to automate monitoring and operational tasks using scripting (Python preferred).
Upper-intermediate English level.

Nice to Have

Experience owning and operating an internal engineering platform.
Demonstrated ownership of reliability, scalability, and performance.
Proven ability to proactively lead maintenance efforts and platform improvements (not just reactive support).
Familiarity with Golang.
Experience with additional observability tools such as New Relic, Dynatrace, Elastic, or Splunk Observability.

We Offer

Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget.
Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews.
Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm.
Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands.
Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized.
Well-being & support: access local well-being programs and people-focused support tailored to your location.

About the Company

We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.