01Overview
Senior Site Reliability Engineer | Datadog | Kubernetes | AWS | Python | CI/CD | Remote India | JST Overlap
We're AgileEngine!
AgileEngine is an award-winning software engineering and AI services company partnering with Fortune 500 companies to build world-class digital products.
Youll work extensively with Datadog, Kubernetes, AWS, Python, APIs, and CI/CD pipelines, with a strong focus on building reliable and scalable observability solutions.
Location: Remote / WFH India
Timezone: JST timezone overlap is mandatory
Experience: 4+ years
Client: Indeed
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Why You Should Apply
Work on a high-impact platform reliability initiative for Indeed
Build and maintain enterprise-grade Datadog observability solutions
Work with Kubernetes-based microservices environments
Design dashboards, alerts, APM, metrics, logging, and tracing
Integrate observability into AWS and CI/CD pipelines
Automate monitoring and operational tasks using Python
Work across software engineering and site reliability engineering
Drive platform reliability, scalability, performance, and continuous improvement
Take ownership of platform modernization and maintenance initiatives
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Must-Have Skills
4+ years of professional software engineering / SRE experience
Strong proficiency in Python, JavaScript (Node.js), or Java
Strong hands-on experience with Kubernetes deployment, operations, and monitoring
Hands-on experience with Datadog or similar observability platforms such as Prometheus/Grafana
Experience configuring Datadog dashboards, alerts, APM, metrics, logging, and tracing
Experience monitoring containerized and microservices-based applications
Hands-on experience with AWS
Experience integrating observability tools into cloud environments
Experience integrating observability into CI/CD pipelines
Strong experience with API integrations designing, consuming, and integrating APIs
Experience automating monitoring and operational tasks using scripting, preferably Python
Experience installing and configuring Datadog agents and integrations
Understanding of secure configuration, API keys, user roles, and access controls
Upper-intermediate English communication skills
JST timezone overlap Mandatory
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What You'll Do
Support platform reliability, monitoring, and continuous improvement across internal systems
Work extensively in Kubernetes-based environments
Build and maintain Datadog dashboards, alerts, APM, metrics, logs, and traces
Monitor containerized and microservices-based applications
Integrate observability solutions with AWS environments
Integrate monitoring and observability into CI/CD pipelines
Install and configure Datadog agents and integrations
Manage API keys, secure configurations, user roles, and access controls
Automate monitoring and operational activities using Python
Lead maintenance initiatives and platform improvements
Improve system reliability, scalability, and performance
Proactively identify opportunities to modernize and improve platform operations
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Nice to Have
Experience owning and operating an internal engineering platform
Demonstrated ownership of reliability, scalability, and performance
Experience proactively leading maintenance and platform improvement initiatives
Familiarity with Golang
Experience with New Relic, Dynatrace, Elastic, or Splunk Observability
Strong experience with distributed and microservices architectures
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Priority Will Be Given To Candidates With
Strong Python experience
Strong Kubernetes experience
Hands-on Datadog experience
Strong AWS experience
CI/CD integration experience
Observability experience across APM, metrics, logging, tracing, dashboards, and alerts
Experience monitoring containerized / microservices applications
Strong API integration experience
Experience automating operational tasks using Python
Proven ownership of reliability, scalability, and performance
JST timezone overlap
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Tech Stack
Datadog Kubernetes AWS Python CI/CD Observability APM Monitoring Metrics Logging Tracing Microservices APIs Docker/Containers Cloud Site Reliability Engineering
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Important Timezone Requirement
Candidates must be able to provide the required JST timezone overlap for this role.
Please apply only if you are comfortable working with the required JST overlap.
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Hiring Process
Step 1: Technical Assessment
Step 2: Video Interview
Step 3: Recruiter Discussion
Step 4: Technical Interview
Step 5: Offer
Please complete all LaunchPod steps promptly to avoid delays in the hiring process.
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To Apply, DM me with:
1. Email ID
2. Total Experience
3. SRE Experience
4. Python Experience
5. Kubernetes Experience
6. Datadog Experience
7. AWS Experience
8. CI/CD Experience
9. Observability Experience
10. API Integration Experience
11. Microservices / Container Experience
12. Othe
