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Senior Site Reliability Engineer

Bank of America

Job Description At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’s physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in‑office culture with specific requirements for office‑based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role‑specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for partnering with leaders across engineering and technology to define objective reliability goals for services. Key responsibilities include composing observability designs through instrumentation and dashboards, identifying root causes of complex/impactful issues, partnering with cross functional teams to deliver sustainable design patterns, and driving early adoption of non‑functional production support requirements. Job expectations include automating services to improve reliability and efficiency and influencing a culture of innovation and continuous improvement. Position Summary The Senior Azure Site Reliability Engineer acts as an advanced senior individual contributor responsible for designing, implementing, and maturing reliability engineering capabilities across the enterprise Azure platform. 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. Environment and Platform Scope Enterprise‑scale, governed Azure platform supporting infrastructure, platform services, and application workload enablement Primary tools and practices: Microsoft Azure, Terraform / Terraform Enterprise, Azure Monitor, Azure Log Analytics, Dynatrace, CI/CD pipelines, Git, Python, PowerShell, Bash, ServiceNow/Jira or equivalent workflow tools Core domain areas: Azure landing zones, private networking, DNS, firewalls, private endpoints, observability, incident response, problem management, canary health checks, production readiness, and cloud governance Role supports Azure platform reliability, operational readiness, observability, automation, and enterprise controls. Responsibilities Design solutions to visualise key production support metrics enabling Operational Readiness and Site Reliability Engineer teams to identify scenarios requiring intervention. Develop software solutions and/or improved processes to address work identified as ‘toil’ by collaborating with key partners to identify, track and remediate processes to free time allocated to reliability. Partner with Development and Infrastructure teams to create error‑budget policies prioritising reliability stories that fall below Service Level Objective (SLO) thresholds and suggests 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 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 understand technical solutions and develop Service Level Indicators and SLOs to measure/improve the reliability of the services they support. 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 Azure Monitor, 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. 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. Required Qualifications Advanced experience in Azure platform engineering, SRE, cloud infrastructure or enterprise cloud operations. Deep knowledge of Microsoft Azure architecture, including networking, identity, compute, PaaS, monitoring, security, governance and resiliency patterns. Strong experience designing and developing Terraform modules and infrastructure‑as‑code automation in enterprise environments. Strong understanding of Azure landing zones, hub‑and‑spoke networking, ExpressRoute or enterprise connectivity, private endpoints, DNS, routing, firewalls and workload isolation. Advanced observability experience with Azure Monitor, Log Analytics, Dynatrace, dashboards, alerting, metrics and platform telemetry. Experience with SRE operating models, SLIs, SLOs, incident response, problem management, toil reduction and production‑readiness reviews. Strong scripting or programming experience with Python, PowerShell, Bash, Java or similar languages. Experience operating highly available Azure IaaS and PaaS services in enterprise‑scale environments. Ability to influence architecture and engineering decisions across multiple technical teams. Strong communication skills with the ability to translate complex engineering topics into actionable recommendations. Desired Qualifications Microsoft Azure certification strongly preferred. Experience in financial services, regulated technology or large enterprise infrastructure organisations. Experience with AKS, ACR, Kubernetes, container networking, CI/CD pipelines and container observability. Experience with Azure AI Foundry, OpenAI/GenAI platform operations, model‑serving observability or AI platform readiness. Experience with FinOps, governance dashboards, resource hygiene, cost visibility, security posture and compliance reporting. Experience creating technical roadmaps, reliability scorecards, production‑readiness frameworks or executive‑level reliability reporting. Skills Architecture Collaboration Innovative Thinking Result Orientation Solution Design Adaptability Analytical Thinking Influence Stakeholder Management Technical Strategy Development Other Terraform Python Shift 1st shift (United States of America) Hours Per Week 40 #J-18808-Ljbffr Bank of America

Vacancy posted 1 day ago
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