Custom Software Engineer

Project Role : Custom Software Engineer


Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.


Must have skills : Datadog


Good to have skills : NA
Minimum
7.5 year(s) of experience is required


Educational Qualification : 15 years full time education


Summary:
As a Custom Software Engineer, you will develop custom software solutions to design, code, and enhance components across systems or applications. Your typical day will involve collaborating with cross-functional teams to understand business requirements, utilizing modern frameworks and agile practices to deliver scalable and high-performing solutions tailored to meet specific business needs. You will engage in coding, testing, and debugging activities while ensuring that the software aligns with the overall architecture and design principles of the organization. Additionally, you will participate in code reviews and contribute to continuous improvement initiatives to enhance the quality and efficiency of the development process.


Roles & Responsibilities:
Administer and manage Datadog across multi-environment (cloud/on-prem) setups.
Configure monitors, dashboards, SLOs, APM tracing, and log pipelines for various applications.
Integrate Datadog with AWS, Azure, GCP, and third-party tools (e.g., PagerDuty, ServiceNow, Slack, etc.).
Manage user access, roles, permissions, and API keys in accordance with security policies.
Define and enforce naming conventions, tagging standards, and monitoring templates for consistent observability.
Collaborate with DevOps, Application, and Infrastructure teams to ensure effective telemetry coverage.
Implement synthetic monitoring, RUM (Real User Monitoring), and infrastructure metrics for end-to-end visibility.
Develop and maintain automation scripts (Terraform, Python, or APIs) for Datadog configuration management.
Troubleshoot issues related to agent deployment, data ingestion, dashboards, and alert noise reduction.
Review usage reports, optimize dashboards, and manage cost efficiency of Datadog licenses.
Provide training and onboarding to teams on Datadog best practices.



Professional & Technical Skills:
3+ years of hands-on experience with Datadog administration and observability.
Strong understanding of monitoring concepts, metrics, logs, traces, and distributed systems.
Experience integrating Datadog with AWS / Azure / GCP and CI/CD pipelines.
Familiarity with Datadog APIs, Terraform providers, and configuration as code.
Working knowledge of Linux/Windows systems, containers (Docker/Kubernetes), and network monitoring.
Experience with incident management workflows and integration with ITSM tools (e.g., ServiceNow, Jira).
Scripting or automation experience using Python / Shell / PowerShell.
Strong analytical, problem-solving, and communication skills.
Datadog Certified Administrator / Observability Professional certification (preferred).
Experience with other monitoring tools (e.g., Dynatrace, Prometheus, Grafana, Splunk, ELK).
Exposure to SRE practices, SLIs/SLOs, and performance optimization.
Familiarity with FinOps / cost governance related to observability tools.
Strong ownership and accountability.
Collaborative mindset and ability to work cross-functionally.
Attention to detail and proactive in identifying monitoring gaps.
Ability to simplify complex technical information for broader audiences.

The candidate should have minimum 7.5 years of experience in Datadog.

This position is based at our Bengaluru office.

A 15 years full time education is required.


Qualification 15 years full time education