Grafana & Observability Engineer
No salary listed
Senior, Expert
Bachelor's
Tampa, FL, USA+2 moreMore locations: Dallas, TX, USA | Jersey City, NJ, USA
Hybrid
DevOps & InfrastructureSite Reliability Engineering
About the job
Requirements
- A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is required.
- At least 5 years of experience in observability, monitoring, operations, or platform engineering is required.
- Hands-on experience administering Grafana in large-scale enterprise environments is required.
- Strong experience with Terraform and Infrastructure as Code practices is required.
- Experience implementing monitoring, alerting, logging, and distributed tracing solutions is required.
- Experience with OpenTelemetry concepts, instrumentation, and telemetry pipelines is required.
- Strong Linux and cloud platform administration skills are required.
- Experience with scripting and automation using Python, PowerShell, Bash, or similar languages is required.
- Knowledge of operational excellence, reliability engineering, and incident management practices is required.
Responsibilities
- Administer and support Grafana Cloud and on-premises Grafana deployments.
- Design and implement enterprise observability solutions for metrics, logs, traces, synthetic monitoring, and alerting.
- Establish and maintain observability standards, best practices, and governance processes.
- Configure and manage Grafana data sources, alerting, role-based access control, folders, teams, and integrations.
- Ensure platform scalability, reliability, resiliency, and operational excellence.
- Develop and maintain Terraform modules for Grafana infrastructure and configuration management.
- Automate onboarding of applications, infrastructure, dashboards, alerts, and data sources.
- Build self-service capabilities that reduce manual operational effort and improve adoption.
- Integrate observability capabilities into continuous integration/continuous delivery and infrastructure provisioning workflows.
- Design meaningful monitoring and alerting strategies based on service health and business-critical workflows.
- Implement and optimize alerting standards to reduce noise and improve signal quality.
- Support incident response, troubleshooting, root cause analysis, and post-incident reviews.
- Drive continuous improvement of operational visibility and platform health.
- Implement and support OpenTelemetry instrumentation across applications and infrastructure.
- Establish standards for logs, metrics, traces, and telemetry collection.
- Support telemetry pipelines, agent deployments, and data collection strategies.
- Assist teams with instrumentation design and observability adoption.
- Support migration initiatives from legacy observability platforms to Grafana.
- Analyze existing monitoring, alerting, logging, and tracing implementations and recommend modernization approaches.
- Develop reusable migration patterns, automation, and engineering standards.
- Partner with application teams to accelerate adoption of enterprise observability capabilities.
- Work closely with application development, infrastructure, cloud, and SRE teams.
- Provide technical leadership and mentoring to engineers across the organization.
- Contribute to observability architecture, strategy, and roadmap development.
- Promote observability as a core engineering practice across the enterprise.
Desired Qualifications
- Experience migrating from tools such as Splunk, Dynatrace, AppDynamics, New Relic, OpenText OBM, or similar platforms.
- Experience with Grafana Alloy, Tempo, Loki, Mimir, or Prometheus.
- Experience operating observability platforms in AWS environments.
- Knowledge of Kubernetes, containers, and cloud-native observability.
- Experience designing enterprise observability strategies and governance models.
- Familiarity with CI/CD platforms and DevOps practices.
About the company
StradIT provides applied AI and engineering services for the global finance industry, helping banks, asset managers, exchanges, and custodian banks implement practical, scalable technology solutions. It integrates production-grade AI into core operations through Centers of Excellence in Applied AI, Data Analytics, Cybersecurity, Cloud & Infrastructure, Automated AI Testing, and Digital Assets & Blockchain, plus a Global Capability Center to build dedicated teams while StradIT handles setup and compliance. The company focuses on creating regulated, auditable systems such as distributed ledger infrastructure, smart contracts, and tokenization with regulatory alignment for bodies like the SEC and FCA. Its goal is to help financial institutions gain a sustainable competitive advantage by improving decision-making, security, and efficiency via AI and engineering.
Company Size
N/A
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
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Simplify's Take
What believers are saying
- August 2026 careers page lists 18 open roles, signaling active hiring.
- StradIT's digital-assets page cites SEC tokenization readiness, aligning with regulated market demand.
- August 2026 job posts show SDET hiring for Treasury, Fixed Income, and Risk platforms.
What critics are saying
- No public funding, customer logos, or revenue disclosures limit credibility versus larger consultancies.
- StradIT's 2026 site leans on marketing claims; bank buyers can delay vendor approval.
- If generative-AI delivery commoditizes, margins collapse and talent attrition can shrink StradIT quickly.
What makes StradIT unique
- StradIT's August 2026 site bundles applied AI, cybersecurity, data, cloud, and blockchain delivery.
- Its finance specialization targets capital markets, asset management, and mission-critical clearing workflows.
- The GCC and Sun Model promise dedicated teams with continuous execution across regions.
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Benefits
- Hybrid Work Options