Senior Site Reliability Engineer

Bank of America

. Partner with engineering and technology leaders to define objective reliability goals for services .

Posted 9/18/2026full-timeJersey City • New Jersey • United StatesSenior💰 $152,600 - $191,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud infrastructure engineering and platform reliability, with a strong focus on Google Cloud Platform (GCP) and Terraform for automation and infrastructure as code. Capable of leading reliability initiatives, defining service level indicators, and enhancing observability and operational readiness.

Highest-signal resume keywords

Google Cloud Platform (GCP)Infrastructure as Code (IaC)Terraform DevelopmentCI/CD Pipeline ManagementObservability Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Infrastructure EngineeringPlatform EngineeringAutomation FrameworksService Level Indicators (SLIs)Service Level Objectives (SLOs)Incident ResponseRoot Cause AnalysisPolicy-as-CodeDevSecOps PracticesMonitoring and Logging

Soft Skills

Effective CommunicationProblem-SolvingAnalytical SkillsCollaboration

Tools & Technologies

TerraformLog AnalyticsDynatraceResource GraphCI/CD Tools

Industry Keywords

Cloud OperationsResiliency DesignAutomationGovernanceCompliance

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsDNSFirewallsGoogle Cloud PlatformTerraform

About the role

Key responsibilities & impact

Partner with engineering and technology leaders to define objective reliability goals for services
Serve as a senior technical authority for GCP platform reliability, resiliency, observability, automation, and production readiness
Design and implement advanced reliability patterns for Azure landing zones, private networking, DNS, firewalls, regional resiliency, service health checks, and workload onboarding
Lead complex platform reliability initiatives, including secondary-region readiness, egress/ingress observability, private DNS resolver monitoring, GenAI platform health checks, and enterprise dashboard automation
Define and mature SLIs, SLOs, reliability indicators, alerting standards, and service health reporting
Develop reusable Terraform modules, automation frameworks, and CI/CD patterns
Drive observability improvements using Log Analytics, Dynatrace, Resource Graph, dashboards, and enterprise monitoring tools
Identify systemic reliability risks and translate them into engineering roadmaps, remediation plans, automation opportunities, and operational controls
Lead technical investigations for major incidents, recurring problems, platform defects, and service degradation events
Integrate IAM, policy-as-code, vulnerability remediation, control validation, and audit readiness into Azure platform operations
Provide technical design input for new Azure services and workloads to ensure operational readiness
Mentor SRE engineers and raise standards for automation, troubleshooting, documentation, resiliency design, and production support
Create executive-ready technical summaries, reliability narratives, and leadership recommendations
Establish standards for runbooks, dashboards, health checks, problem records, post-incident reviews, and production-readiness gates
Visualize key production support metrics to identify scenarios requiring intervention
Develop software solutions and improved processes to reduce toil and manual support effort
Create error budget policies and improve service reliability visibility through code optimization, instrumentation, and logging
Plan for capacity bottlenecks, vulnerabilities, error rates, and other reliability improvement opportunities
Assess monitoring for new changes and enhance application and system monitoring designs
Engage as a subject matter expert in incident triage, failure scenario modeling, and root-cause investigations
Collaborate with Development and Infrastructure teams to develop SLIs and SLOs

Requirements

What you’ll need

4+ years of experience in cloud infrastructure engineering, platform engineering, or cloud operations, with exposure to Google Cloud Platform (GCP)
Strong hands-on experience with Infrastructure as Code (IaC), including practical use of Terraform or Terraform Enterprise
Solid understanding of software engineering fundamentals, including version control, code quality, and basic testing practices for infrastructure code
Experience developing and maintaining Terraform modules and infrastructure configurations
Familiarity with CI/CD pipelines for infrastructure deployment, including automated build, test, and release processes
Working knowledge of DevSecOps practices, including integrating security and compliance checks into automated workflows
Good understanding of GCP services and cloud architecture fundamentals, including VPCs, IAM, and load balancing
Exposure to policy-as-code, governance, and compliance requirements in enterprise environments
Experience supporting automation and standardization efforts in cloud deployments
Understanding of monitoring, logging, and observability tools
Hands-on experience with incident response, troubleshooting, and root cause analysis in cloud or distributed systems
Ability to collaborate with engineering, architecture, and security teams
Strong problem-solving and analytical skills
Effective communication skills and ability to document technical solutions clearly
Interest in emerging technologies and automation techniques, including AI/ML where applicable

Benefits

Comp & perks

Discretionary incentive eligible
Eligible to participate in the annual discretionary plan
Annual discretionary award based on individual performance, line of business/group performance, and overall Company success
Benefits eligible
Access to paid time off
Resources and support to employees
Opportunities to learn, grow, and make an impact
Inclusive workplace
Support for physical, emotional, and financial wellness
Recognition and reward for performance