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