Senior Site Reliability Engineer ID81653

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.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

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