Senior Site Reliability Engineer

Senior Site Reliability Engineer

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

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.

What You Will Do:

• 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.

Must Haves:

• 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 Haves:

• 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.

Perks and Benefits:

• 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.