Job Description & How to Apply Below
Software Engineering (60–70%)
Responsibilities
Strong programming skills in Python, JavaScript (Node.js), and Java for building tools, automations, and integrations
API design and integration experience with internal systems and third-party platforms
Ability to work with structured and unstructured data for monitoring, logging, and automation
Kubernetes expertise (must-have): deploying, operating, and monitoring containerized workloads
Hands-on experience with observability platforms, especially Data Dog (preferred), as well as Prometheus and Grafana
Site Reliability Engineering – SRE (30–40%)
Monitoring & observability: dashboards, alerts, APM, logs, metrics, and distributed tracing
CI/CD integration of observability tools to improve deployment health and reliability
AWS cloud experience, integrating cloud services with monitoring platforms
Container and microservices monitoring in Kubernetes environments
Automation of operational tasks and monitoring configurations using Python or scripting
Qualifications
Operational & Platform Expertise
Installation, configuration, and management of Data Dog agents and integrations
Secure handling of API keys, tokens, and service accounts
User and access management within observability platforms
Required Skills
Open Telemetry adoption and migration for distributed tracing
Experience with platform and API key migrations to service-account-based models
Exposure to other observability tools (New Relic, Dynatrace, Elastic, Splunk) with transferable skills to Data Dog
Position Requirements
10+ Years
work experience
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