Senior Software Engineer - Kubernetes Platform...
Role details
Job location
Tech stack
Job description
The Senior Software Engineer - Kubernetes Platform Engineering, Service Mesh & Developer Platforms(Golang APIs) serves as a senior technical leader responsible for defining, designing, and delivering the next generation of cloud-native platform capabilities across the bank's enterprise container ecosystem. This role provides technical leadership for platform APIs, Kubernetes automation, service mesh enablement, CI/CD modernization, and developer self-service capabilities that support large-scale application onboarding and lifecycle management.
The individual will lead the architecture and engineering of highly scalable, secure, and resilient platform services while establishing engineering standards, automation patterns, and best practices adopted across multiple teams. This role requires deep expertise in Kubernetes, Golang development, platform engineering, service mesh technologies, distributed systems, and cloud-native architectures, combined with the ability to influence technical direction and drive strategic initiatives.
The engineer will partner closely with architecture, security, networking, SRE, DevOps, and application teams to deliver enterprise-grade platform solutions that improve developer productivity, strengthen governance and compliance, and accelerate adoption of container technologies across the organization.
This role requires a strong ownership mindset, technical leadership, and the ability to solve complex engineering challenges while helping shape the future direction of the Foundational Platform Engineering team. The team serves as the engineering foundation for the bank's container ecosystem, delivering API-driven automation, self-service onboarding, governance, compliance, and lifecycle management capabilities across Red Hat OpenShift (OCP), Amazon EKS, Azure AKS, Rancher, and on-premises Kubernetes platforms. The solutions built by this team establish common platform services and automation frameworks that enable application teams to securely and efficiently consume container technologies at scale, regardless of the underlying platform.
In addition to hands-on engineering responsibilities, this role is expected to provide technical mentorship, influence engineering strategy, drive platform modernization initiatives, and contribute to the long-term architecture and roadmap of the bank's container and cloud-native platforms. The engineer will play a key role in advancing strategic initiatives involving Kubernetes platform automation, GitOps, service mesh adoption, API-driven platform engineering, observability, compliance automation, and hybrid cloud enablement, supporting the bank's next generation of cloud-native applications and foundational platform services.
Key Responsibilities:
-
Ensure that the design and engineering approach for complex features are consistent with the larger portfolio solution.
-
Conduct research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, features, etc.
-
Help define the technology tool stack for the solution. Evaluate and adapt new testing tool/framework/practices for team(s).
-
Kubernetes and OpenShift platform engineering
-
Golang API and microservices development
-
Service Mesh (Consul, Istio, Linkerd) enablement and automation
-
CI/CD and GitOps platforms (Tekton, ArgoCD)
-
Platform onboarding and self-service automation
-
Observability, reliability, and platform resiliency
-
Enterprise-scale cloud-native architecture and automation.
As a lead for one or more teams:
-
Accountable for end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level.
-
Work with stakeholders to establish high-level solution needs and with architects for technical requirements.
-
Lead the technical oversight for teams in solution development., Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
View your "Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) " poster.
View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .
Requirements
- 10+ years of experience in software engineering, platform engineering, cloud-native development, or distributed systems engineering.
-
Strong proficiency in Golang (Go) with hands-on experience building APIs, microservices, controllers, operators, and automation solutions.
-
Hands-on experience with Kubernetes (K8s) and/or Red Hat OpenShift (OCP) in enterprise production environments.
-
Experience designing, deploying, and supporting cloud-native applications and platform services.
-
Proven experience building and maintaining CI/CD pipelines using tools such as Tekton, Argo CD, Jenkins, GitHub Actions, GitLab CI/CD, or similar platforms.
-
Experience implementing and supporting GitOps-based deployment models.
-
Hands-on experience with Service Mesh technologies such as Istio, Consul, Linkerd, or equivalent service networking solutions.
-
Strong understanding of:
-
Microservices architecture
-
Distributed systems design
-
Container technologies (Docker/OCI)
-
API-first development principles
-
Cloud-native application patterns
-
Experience integrating enterprise services including :
-
Identity & Access Management (IAM)
-
Secrets Management (Vault or equivalent)
-
Service Discovery
-
Security and Compliance controls
-
Platform onboarding workflows
-
Experience with monitoring, observability, and troubleshooting tools such as:
-
Prometheus
-
Grafana
-
Dynatrace
-
OpenTelemetry
-
Elasticsearch/Splunk
-
Jaeger or distributed tracing platforms
-
Strong problem-solving, debugging, performance tuning, and root-cause analysis skills.
-
Experience working collaboratively with Platform Engineering, SRE, DevOps, Infrastructure, Security, and Application Development teams.
-
Strong communication skills with the ability to translate complex technical concepts into practical solutions.
-
Demonstrated ownership, accountability, and ability to deliver solutions in large-scale enterprise environments.
Desired Qualifications:
-
Experience with Kubernetes platforms such as OpenShift, EKS, AKS, Rancher, GKE, or Tanzu .
-
Experience with Infrastructure as Code (Terraform, Ansible, Helm) .
-
Experience developing Kubernetes operators, controllers, or platform APIs.
-
Familiarity with enterprise networking and security concepts including:
-
Ingress/Egress
-
API Gateways
-
TLS/mTLS
-
Zero Trust architectures
-
Experience supporting hybrid cloud and multi-cluster environments.
-
Exposure to financial services or other highly regulated industries.
-
Experience building self-service platform capabilities and developer enablement solutions.
-
Experience driving automation initiatives that improve developer productivity, operational efficiency, and platform reliability.
-
Kubernetes certifications such as CKA, CKAD, or CKS are a plus.
Characteristics of the Top Performer:
-
Strong ownership mindset and accountability.
-
Passion for automation and platform engineering.
-
Ability to lead technical initiatives from concept to production.
-
Excellent collaboration and stakeholder management skills.
-
Continuous learner with a focus on innovation and simplification.
-
Ability to operate effectively across Kubernetes, Service Mesh, Cloud, Automation, and Platform Engineering domains.