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
- 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
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Hiring process timeline
We designed our hiring process to be fast, transparent, and convenient — so you always know what to expect and can move through the steps without unnecessary delays.
A quick note
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Tell us about yourself
Submit a short application form.
Pass a quick test
Pass a 30’- 60’ test.
Record a short video
Introduce yourself on video to fast-track your application process.
Meet our team
Once you pass the video review, grab a spot on our calendar for a technical interview.
Get an offer
Welcome to AgileEngine!
Have any questions?
What is the work format and schedule?
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.
What level of English is required?
We look for Upper-Intermediate (B2) proficiency or higher. Since you will be collaborating with international teams and global clients (including Fortune 500 companies), English is a part of your daily work.
Does AgileEngine provide work equipment?
It depends on your location. We provide equipment in Ukraine, Poland, Argentina, Colombia, Mexico, Brazil, Guatemala, Portugal, Spain, and India. In the USA, equipment is usually provided by the client; otherwise, you will be expected to use your own setup.
What opportunities for professional growth do you offer?
We support continuous growth through personalized development paths tailored to each expert. Also, you can expect:
- An annual learning and development budget
- Internal workshops, tech talks, and mentorship programs
- Opportunities to switch projects or grow into new roles over time
What does a typical team look like, and what tools do you use?
Teams vary by project, but you’ll usually work with a mix of experts across different fields, along with a delivery or project manager who supports collaboration and onboarding.
For day-to-day work, teams commonly use tools like Jira and Google Workspace, along with communication platforms such as Google Chat. Depending on the client, you may also work with Slack, Confluence, Notion, or similar tools.
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