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