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Senior Platform Engineer - Observability Services

WRTR INK LLP
Bangalore
3 - 5 Years

Posted on: 16/09/2025

Job Description

Skills Required :

Kubernetes, AKS, Azure Kubernetes Services, Python, Javascript, Shell, PowerShell, Power Shell, DynaTrace, Grafana, Datadog, Splunk, New Relic, Terraform, Ansible, CloudFormation, Cloud Formation, Flux, Prometheus, OpenTelemetry, FluentD, FluentBit, Logstash


Experience Range : 3 to 5 years


Job Description :


Role Title : Senior Platform Engineer


Position Summary :


As a Platform Engineer in the Observability space, this role will focus on supporting our use of DynaTrace in the enterprise.


Helping to build self service capabilities and automation leveraging DynaTrace will be a major focus.


This space will look to aid infrastructure and application teams in their build out of observability including monitoring and alerting for their particular space, and introduction of preventative automation as we onboard additional features and self-service.


Skill and Experience :

- 3 to 5 years of experience required

- Additional Experience Qualifier (optional) : 3+ years of modern application development experience with large-scale business applications in a fast-paced, iterative development environment.

- 3+ years of experience in public cloud 3+ years designing, developing, and implementing business applications from business concept to production.

- Programming and Scripting knowledge will be important; Python, Javascript, or other scripting / functional language required.


- SQL, Kusto or query language skill is useful.


- Java /.NET experience useful but not required.

- Experience with Monitoring tools will be important


- Experience with tools like Dynatrace, Datadog, Grafana, New Relic or Splunk.

- Data Analysis : Ability to analyze telemetry data, logs, and metrics to identify patterns and anomalies.

- Familiarity with Azure cloud platform and Kubernetes, as well as virtual server architecture like VMWare.

- Telemetry Pipelines : Designing and implementing pipelines for collecting and processing telemetry data.


- Anomaly Detection : Setting up systems to detect and respond to anomalies intelligently before they impact users


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