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Datadog Jobs in Indiana (NOW HIRING)

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

... DataDog, Prometheus, Grafana, etc.. ● Additional programming languages (E.g. Java, Kotlin, Nodejs, Golang, etc..) ● Knowledge of HashiCorp Terraform (better Terraform + Terraform Cloud) ● ...

Senior DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

... DataDog, Prometheus, Grafana, etc.. ● Additional programming languages (E.g. Java, Kotlin, Nodejs, Golang, etc..) ● Knowledge of HashiCorp Terraform (better Terraform + Terraform Cloud) ● ...

Experience with FinOps practices and cloud cost optimization at enterprise scale. - Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Azure Monitor, Application ...

Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Azure Monitor, Application Insights, or equivalent). * Experience in pharmaceutical, healthcare, life sciences ...

Azure Cloud Engineer

Indianapolis, IN · On-site

$49 - $65.25/hr

... Datadog, Azure Monitor, Application Insights, or equivalent. • Experience in pharmaceutical, healthcare, life sciences, or other regulated industries. • Experience with GxP, 21 CFR Part 11, or ...

Cloud Engineer

Indianapolis, IN · On-site

$53.25 - $71.25/hr

Experience with monitoring platforms (Datadog, Prometheus, Grafana, or Azure Monitor). Security-Minded: Experience designing IAM policies and network security groups that satisfy rigorous audit and ...

Cloud Engineer

Indianapolis, IN · On-site

$100.10 - $105.10/hr

Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Azure Monitor, or Application Insights). Experience in pharmaceutical, healthcare, life sciences, or other ...

Cloud Engineer

Indianapolis, IN · On-site

$100 - $105/hr

Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Azure Monitor, or Application Insights). * Experience in pharmaceutical, healthcare, life sciences, or other ...

Cloud Engineer

Indianapolis, IN · On-site

$100.10 - $105.10/hr

Familiarity with monitoring and observability platforms (Prometheus, Grafana, Datadog, Azure Monitor, or Application Insights). * Experience in pharmaceutical, healthcare, life sciences, or other ...

Cloud Engineer

Indianapolis, IN · On-site

$187K - $208K/yr

Experience with monitoring platforms (Datadog, Prometheus, Grafana, or Azure Monitor). • Security-Minded: Experience designing IAM policies and network security groups that satisfy rigorous audit ...

Datadog, Splunk; * Containerization: Docker, ECS/Fargate; * Cloud Security Practices: IAM, Security Groups, Snyk; and * Networking Fundamentals: VPC, Route 53 APPLY: Job Level: Non-Management Exempt ...

Datadog, Splunk; * Containerization: Docker, ECS/Fargate; * Cloud Security Practices: IAM, Security Groups, Snyk; and * Networking Fundamentals: VPC, Route 53 APPLY: Please be advised that Elevance ...

Strong experience with application observability tools, e.g., Datadog, Splunk and CloudWatch * UiPath, AWS or comparable certifications a plus * 3 years' minimum experience with UiPath Qualifications

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Datadog information

What is a Datadog engineer?

A Datadog engineer is a professional who specializes in implementing, configuring, and managing Datadog, a cloud-based monitoring and analytics platform. They are responsible for integrating Datadog with various systems, setting up dashboards, alerts, and metrics to monitor application performance and infrastructure health. Their work helps organizations identify issues, optimize performance, and ensure system reliability. Datadog engineers often collaborate with DevOps, IT, and development teams to provide insights and improve observability across environments.

What are the key skills and qualifications needed to thrive as a Datadog engineer?

To thrive as a Datadog Engineer, you need a solid understanding of cloud infrastructure, monitoring and observability principles, and experience with scripting or programming languages. Familiarity with Datadog’s platform, API integrations, and certifications such as Datadog Certified Technical Specialist are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you proactively address system issues and collaborate with cross-functional teams. These skills ensure efficient system monitoring, rapid incident response, and reliable service performance in dynamic technology environments.

What are some common challenges faced by Datadog engineers when implementing monitoring solutions for large-scale systems?

Datadog engineers often encounter challenges such as integrating diverse technology stacks, ensuring minimal performance impact, and maintaining data accuracy across high-traffic environments. Large-scale systems can generate vast amounts of telemetry data, so configuring efficient dashboards and alerting without causing alert fatigue is vital. Collaborating closely with development, operations, and security teams is essential to tailor monitoring solutions that provide actionable insights while staying adaptable to evolving system architectures.

What is the difference between Datadog vs Cloud Monitoring Engineer?

AspectDatadogCloud Monitoring Engineer
Primary RoleMonitoring and analytics platform for IT infrastructure and applicationsDesigning, implementing, and managing cloud monitoring solutions
Required SkillsCloud platforms, monitoring tools, scripting, API integrationCloud services, monitoring tools, scripting, troubleshooting
CertificationsCloud certifications (AWS, Azure), monitoring tools certificationsCloud certifications (AWS, Azure), monitoring certifications
Work EnvironmentUsing SaaS platform, integrating with various cloud and on-premise systemsManaging cloud infrastructure, configuring monitoring tools, troubleshooting

While both roles involve cloud monitoring, Datadog focuses on utilizing a specific SaaS platform for analytics and monitoring, whereas a Cloud Monitoring Engineer designs and manages monitoring solutions across cloud environments. The roles often overlap in skills and certifications, but their core responsibilities differ in scope and focus.

What are popular job titles related to Datadog jobs in Indiana?

For Datadog jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Datadog jobs in Indiana look for?

The top searched job categories for Datadog jobs in Indiana are:

What cities in Indiana are hiring for Datadog jobs?

Cities in Indiana with the most Datadog job openings:

Infographic showing various Datadog job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution.

Production Support Manager

CMP.jobs

Indianapolis, IN

Full-time

Re-posted 11 days ago


Job description

Production Support Manager – Annuity Administration System Job Summary The Production Support Manager leads the technical resolution of customer support tickets for our annuity administration platform. This role requires hands-on technical expertise to investigate complex customer data issues, perform SQL analysis, and troubleshoot API integrations while managing a team that handles customer inquiries, data discrepancies, and business process issues. Main Accountabilities Customer Support Ticket Management ● Oversee resolution of complex customer support tickets involving data discrepancies, transaction issues, and system functionality ● Perform advanced SQL queries to investigate customer data, transaction histories, and system state ● Troubleshoot API integration issues affecting customer data flow and third-party connections Technical Customer Issue Resolution ● Use DataDog logs and monitoring to trace customer transaction flows and identify data processing issues ● Analyze REST/GraphQL API responses to diagnose customer-facing problems ● Investigate database data integrity issues affecting customer accounts Team Leadership ● Lead and mentor customer support analysts on technical troubleshooting techniques ● Train team on SQL query writing for customer data analysis and issue investigation ● Develop technical documentation / run books for common customer issue resolution patterns Customer Data Analysis ● Write complex SQL queries to investigate customer issues and transaction issues ● Analyze customer data flows through APIs to identify processing bottlenecks or failures ● Use logging tools (DataDog) to trace customer issues and identify failure points Cross-functional Collaboration ● Work with development teams to resolve customer-impacting bugs and data issues ● Coordinate with business teams to understand customer requirements and system behavior ● Escalate systemic issues to SRE team when infrastructure-level intervention is needed Required Technical Skills Database & Data Analysis ● Advanced SQL proficiency for customer data investigation and reporting ● Experience querying annuity-specific data (policies, transactions, beneficiaries, payments) ● Ability to write complex queries to trace customer transaction histories and identify data anomalies API Troubleshooting ● Experience debugging REST API calls for customer data retrieval and updates ● Knowledge of GraphQL for flexible customer data queries and investigation ● Ability to trace API integration issues affecting customer experience Monitoring & Logging ● Proficiency with DataDog for tracing customer transaction flows and identifying errors ● Experience using logs to investigate customer-reported issues and system behavior ● Knowledge of application performance monitoring for customer-facing functionality Customer Support Tools ● Experience with ticketing systems (ServiceNow, Zendesk) for managing customer issues ● Knowledge of CRM integration and customer data management ● Familiarity with support metrics and customer satisfaction tracking Qualifications Experience ● 7+ years in technical customer support or application support roles ● 3+ years managing customer support teams with technical troubleshooting focus ● Experience with financial services customer support and regulatory requirements Nice to Have Domain Knowledge ● Strong understanding of annuity products, transactions, and customer lifecycle ● Experience with DTCC integrations and regulatory reporting affecting customers ● Knowledge of financial services compliance and customer data protection Success Metrics • Achieve 95%+ customer satisfaction scores for technical issue resolution • Reduce average ticket resolution time by 30% through improved technical processes • Maintain <24 hour response time for critical customer data issues • Reduce escalations to development team by 40% through improved first-level technical resolution