FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Site Reliability Engineering (SRE) practices, including incident management, SLIs, SLOs, and Error Budgets, while leveraging cloud infrastructure and automation tools to enhance performance and reliability. Proficient in implementing GitOps and Infrastructure as Code (IaC) practices, optimizing resource utilization, and driving observability strategies across data environments.
Highest-signal resume keywords
Site Reliability Engineering (SRE)Cloud Infrastructure (GCP, AWS, Azure)CI/CD Tools (GitHub Actions, Azure DevOps)Infrastructure as Code (IaC) - TerraformObservability Tools (OpenTelemetry, Grafana, Prometheus)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Site Reliability Engineering (SRE)Cloud Infrastructure (GCP, AWS, Azure)CI/CD ToolsInfrastructure as Code (IaC)GitOpsObservabilityContainers and Orchestration (Kubernetes, OpenShift)Programming/Scripting Languages (Python, Go, Java, Node.js, Shell Script)Database KnowledgeCloud Cost Optimization (FinOps)
Soft Skills
CollaborationIncident ManagementContinuous Improvement
Tools & Technologies
GitHub ActionsAzure DevOpsTerraformOpenTelemetryGrafanaPrometheusELK/ElasticDatadogDatabricksData Lakes
Certifications & Qualifications
Cloud CertificationsKubernetes Certifications
Industry Keywords
Financial Industry Compliance StandardsCapacity PlanningPerformance EngineeringContinuous Operational Improvement
Tech Stack
Tools & technologiesAWSAzureCloudDNSGoogle Cloud PlatformGrafanaJavaJavaScriptKubernetesNode.jsOpenShiftPrometheusPythonTCP/IPTerraformGo
About the role
Key responsibilities & impact- Design and evolve infrastructure and platform solutions in cloud and hybrid environments, considering reliability, availability, performance, and scalability
- Develop and maintain standardized CI/CD pipelines, incorporating automation, quality, security, and observability practices
- Implement and evolve GitOps and Infrastructure as Code (IaC) practices, automating environment provisioning, configuration, and management
- Create and maintain templates, accelerators, and reusable components that simplify development and promote delivery standardization
- Define and evolve observability strategies covering metrics, logs, traces, APM, alerts, and dashboards for applications, infrastructure, and data platforms
- Establish and monitor SLIs, SLOs, and Error Budgets, guiding continuous improvement initiatives and balancing innovation with reliability
- Lead the analysis of and response to critical incidents, coordinating mitigation efforts, root cause investigations, and postmortem preparation
- Drive the reliability and observability of data environments, including Databricks, Data Lakes, and data pipelines, identifying opportunities to improve performance, availability, and operational efficiency
- Collaborate with development, infrastructure, and data teams in adopting platform standards, promoting automation, scalability, and reduced operational toil
- Identify opportunities to optimize resource utilization and costs in cloud environments and data platforms, applying FinOps practices
Requirements
What you’ll need- Strong experience with SRE practices, including reliability, availability, performance, incident management, SLIs, SLOs, and Error Budgets
- Experience with cloud infrastructure (GCP, AWS, or Azure), preferably in hybrid environments
- Experience with CI/CD tools and automating build, test, deployment, and operational processes using solutions such as GitHub Actions and Azure DevOps
- Experience with GitOps and Infrastructure as Code (IaC), particularly Terraform
- Experience with observability, including metrics, logs, traces, and APM, using tools such as OpenTelemetry, Grafana, Prometheus, ELK/Elastic, Datadog, or SigNoz
- Experience with containers and orchestration, including Kubernetes and/or OpenShift
- Knowledge of deployment strategies such as Canary, Blue/Green, and Rolling Deployments
- Knowledge of networking and connectivity in cloud and hybrid environments, including TCP/IP, HTTP, DNS, and troubleshooting
- Strong knowledge of at least one programming or scripting language (Python, Go, Java, Node.js, or Shell Script) for automation and internal tool development
- Knowledge of databases and performance, availability, and capacity concepts
- Knowledge of cloud cost and consumption optimization practices (FinOps)
- Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related field (preferred)
- Cloud or Kubernetes certifications (preferred)
- Experience building and evolving engineering platforms or Internal Developer Platforms (IDPs)
- Experience creating templates, accelerators, reusable components, and self-service mechanisms
- Knowledge of software engineering, including design patterns, best practices, and integration across different technology stacks
- Experience with or familiarity with data environments, including Databricks, Data Lakes, Lakehouses, and data pipelines
- Experience with or familiarity with financial industry compliance standards
- Knowledge of Capacity Planning, Performance Engineering, and continuous operational improvement practices
Benefits
Comp & perks- Market-competitive compensation
- Meal and food allowance (iFood Card)
- Health and dental insurance
- Home office stipend
- Life insurance
- Flexible working hours
- Dress code: be yourself
- TotalPass: support for your physical and mental well-being
- 100% remote position