Bank of America - Pennington, NJ

posted 15 days ago

Full-time - Senior
Pennington, NJ
Credit Intermediation and Related Activities

About the position

The Cloud Senior Site Reliability Engineer at Bank of America is responsible for designing, building, and maintaining the next-generation AWS platform. This role involves collaborating with various engineering teams to ensure the reliability and scalability of cloud services, implementing best practices in site reliability engineering, and automating processes to enhance operational efficiency. The position offers opportunities for innovation and creativity while working in a diverse and inclusive environment.

Responsibilities

  • Designs solutions to visualize key production support metrics enabling Operational Readiness and Site Reliability Engineer teams to identify scenarios requiring intervention
  • Develops 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
  • Partners with Development and Infrastructure teams to create error budget policies prioritizing reliability stories that fall below Service Level Objective (SLO) thresholds and suggests code optimizations, additional instrumentation and/or logging structures to gain service reliability visibility
  • Identifies and plans for capacity bottlenecks, vulnerabilities and opportunities for reliability improvement, such as low level error rates and 'noise', and reduces manual support effort and/or improves system reliability
  • Assesses monitoring for new changes with development partners and works with monitoring tools team to monitor dashboards and enhance application and system monitoring designs
  • Engages as a subject matter expert in incident triage efforts, failure scenario modelling and works with the Problem Manager to diagnose root causes for complex/high impact incident/problem management investigations
  • Collaborates 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

Requirements

  • 15 years of combined experience in either SRE, software development, or infrastructure engineering (10 years with an advanced degree in Computer Science or related technical field)
  • 7+ years of hands-on experience building and maintaining cloud platforms on a major cloud service provider
  • Strong experience in implementing, monitoring, and maintaining a highly scalable and resilient Data Services platform on Amazon Web Services
  • Strong experience with monitoring tools such as Grafana, Prometheus, Splunk, or Dynatrace, as well as AWS native tools like CloudWatch & CloudTrail, Azure Monitor and Log Analytics
  • Proficiency in implementing, monitoring, and maintaining a Databricks, RDS, or OpenAI platform
  • Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net; 5+ years applied experience in Python/Java
  • Proficiency in implementing CI/CD pipelines with tools such as git and Jenkins, familiarity with using a GitOps model
  • Advanced knowledge of networking (firewalls, DNS, Load Balancing, Proxies, etc.)
  • Advanced understanding of Linux & Windows operating systems including shell scripting
  • Excellent interpersonal, organizational and communication (written, verbal, and presentation) skills are a must
  • Proven ability to work independently with minimal supervision and as part of a team with direct responsibilities and an ability to juggle competing priorities and adapt to changes in project scope

Nice-to-haves

  • Strong experience working with a complex IAM infrastructure, including Active Directory, Azure AD Connect, Azure AD, and PingIdentity, Okta, or other SSO solutions
  • Proficiency in creating automation using Python, Terraform, or Ansible
  • Proficiency in implementing, monitoring, and maintaining a Databricks, CosmosDB, or OpenAI platform
  • Experience in implementing, monitoring, and maintaining a highly scalable and resilient enterprise platform on Microsoft Azure using native services related to compute, storage, networking, security, and observability
  • Experience with containerization technologies such as EC2, EKS, Fargate, Openshift, or Kubernetes
  • Understanding of cost management, inventory management, FinOps model

Benefits

  • Industry-leading benefits
  • Access to paid time off
  • Resources and support for employees
  • Discretionary incentive eligible
  • Annual discretionary award based on performance
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