At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection and drive Responsible Growth for our clients, teammates, communities and shareholders.
Bank of America is committed to an in‑office culture with specific requirements for office‑based attendance and appropriate flexibility based on role‑specific considerations.
Position Summary
The Senior GCP Site Reliability Engineer is an advanced senior individual contributor responsible for designing, implementing and maturing reliability engineering capabilities. The role focuses on complex technical problem solving, reliability architecture, automation strategy, observability maturity, platform resiliency and operational excellence. The ideal candidate can operate across both strategy and execution: defining patterns, building automation, mentoring engineers, resolving hard platform issues and driving long‑term reliability improvements.
Key Responsibilities
- 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 such as 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 for Azure platform services
- Develop reusable Terraform modules, automation frameworks and CI/CD patterns that improve consistency, compliance and operational quality
- 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 deep technical investigations for major incidents, recurring problems, platform defects or service degradation events
- Partner with security and governance teams to 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 before production adoption
- Mentor SRE engineers and raise the technical bar for automation, troubleshooting, documentation, resiliency design and production support
- Create executive‑ready technical summaries, reliability narratives and recommendations for leadership review
- Establish reusable standards for runbooks, dashboards, health checks, problem records, post‑incident reviews and production‑readiness gates
- Design solutions to visualise key production support metrics enabling teams to identify scenarios requiring intervention
- Develop software solutions and/or improved processes to address work identified as "toil" by collaborating with partners to identify, track and remediate processes to free time for reliability work
- Partner with Development and Infrastructure teams to create error budget policies prioritising reliability stories that fall below Service Level Objectives and suggest code optimisations, additional instrumentation and/or logging structures to gain service reliability visibility
- Identify and plan for capacity bottlenecks, vulnerabilities and opportunities for reliability improvement, such as low‑level error rates and "noise", and reduce manual support effort and/or improve system reliability
- Assess monitoring for new changes with development partners and work with the monitoring tools team to monitor dashboards and enhance application and system monitoring designs
- Engage as a subject matter expert in incident triage efforts, failure scenario modelling and work with the Problem Manager to diagnose root causes for complex/high‑impact incident/problem management investigations
- Collaborate with Development and Infrastructure teams to develop Service Level Indicators and SLOs to measure and improve the reliability of the services they support
Required Qualifications
- 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 for infrastructure provisioning
- 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 to support automated cloud environments
- 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 networking (VPCs, IAM, load balancing)
- Exposure to policy‑as‑code, governance and compliance requirements in enterprise environments
- Experience supporting automation and standardisation efforts to improve consistency and efficiency in cloud deployments
- Understanding of monitoring, logging and observability tools to support system reliability and performance
- Hands‑on experience with incident response, troubleshooting and root cause analysis in cloud or distributed systems
Desired Qualifications
- Ability to collaborate effectively with engineering, architecture and security teams to support reliable and secure platform operations
- Strong problem‑solving and analytical skills, with the ability to diagnose and resolve infrastructure issues
- Effective communication skills, with the ability to work within cross‑functional teams and document technical solutions clearly
- Interest in learning and applying emerging technologies and automation techniques (including AI/ML where applicable) to improve platform reliability
Skills
- Architecture
- Collaboration
- Innovative Thinking
- Result Orientation
- Solution Design
- Adaptability
- Analytical Thinking
- Influence
- Stakeholder Management
- Technical Strategy Development
Shift
1st shift (United States of America)
Hours Per Week
40
Pay Transparency Details
United States – New Jersey – Jersey City – 101 Hudson St
Pay Range
$152,600.00 – $191,500.00 annualised salary, offers determined based on experience, education and skill set.
Benefits
Participants are eligible for an annual discretionary award based on overall individual performance, the performance and contributions of their business and the overall success of the Company.
This role is currently benefits eligible. We provide industry‑leading benefits, access to paid time off, resources and support to enable employees to make a genuine impact and contribute to the sustainable growth of our business and communities.