Sr. Python Backend Engineer with DataDog and Azure || ONLY || Local to NY, NJ

Hybrid in New York, NY, US • Posted 5 hours ago • Updated 2 hours ago
Full Time
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • DataDog
  • Azure
  • Azure Data Factory
  • Azure Data Lake
  • Agentic AI
  • Python

Summary

12+ Year Candidates ONLY

  • Design, build, test, and deploy scalable full stack applications and services.
  • Build backend services, APIs, and microservices using production-grade engineering practices.
  • Design and implement REST and/or GraphQL APIs for internal and external consumption.
  • Build integrations across applications, data platforms, workflow tools, and enterprise systems.
  • Work with relational, cloud, and/or analytical data platforms to support application and reporting needs, including Azure Data Platform services such as Azure Data Factory, Azure Data Lake Storage, Synapse, and related cloud-native integration patterns.
  • Optimize application performance, API latency, database queries, and system reliability.
  • Design and implement Data Platform Observability capabilities across applications, APIs, data services, and platform workflows, including logging, metrics, tracing, dashboards, and alerting.
  • Use Datadog to monitor services and data platform components, troubleshoot incidents, improve root cause analysis, and enhance operational visibility.
  • Participate in technical design discussions and help define scalable architecture patterns.
  • Use modern AI-assisted and agentic coding tools to accelerate development, refactoring, testing, documentation, and code review.
  • Operate within a controlled SDLC environment, including code reviews, approvals, change management, validation, documentation, and release controls.
  • Collaborate with cross-functional stakeholders to translate business needs into technical solutions.
  • Support production applications, including troubleshooting, incident response, root cause analysis, on-call rotation as needed, and continuous improvements to observability and monitoring practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10107255
  • Position Id: 9009187
  • Posted 5 hours ago
Contact the job poster
Annu Jindal

Annu Jindal

Smart Source Technologies Recruiter @ Smart Source Technologies
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