Senior Kubernetes Engineer

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About Infinitive

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times, most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”

The Senior Kubernetes Engineer is responsible for designing, implementing, and maintaining a fully isolated, enterprise-grade Kubernetes environment that replicates a top 5 US bank’s application and infrastructure landscape. The environment must be configurable and deployable end-to-end via scripts, with no external runtime dependencies, to support secure scenario execution, testing, and experimentation across multiple systems and services.

• Design a Kubernetes-based reference architecture that mirrors the bank’s multi-tier, microservices, data, and network topology in a fully isolated environment
• Define patterns for stateless and stateful workloads, storage, networking, and security that align with banking-grade resilience, performance, and compliance expectations
• Establish a single-command or fully scripted bootstrap process for cluster creation, configuration, and teardown (e.g., using Helm, Kustomize, Terraform/infra-as-code, and Kubernetes manifests)

• Model core banking, payments, digital channels, and integration layers as containerized workloads, including supporting services (databases, message queues, APIs, batch jobs)
• Implement strict network segmentation, zero-trust policies, and namespace/tenant isolation to emulate production controls while ensuring complete separation from live systems and data
• Create synthetic data generation and masking strategies so scenarios can run with realistic but non-production data

• Build fully automated scripts/pipelines for:
  • Provisioning Kubernetes clusters and underlying infrastructure
  • Deploying all application components, dependencies, and configuration from source control
  • Executing and resetting scenarios, test suites, and performance runs
• Ensure the entire environment (infrastructure + apps + config) is reproducible from code with no interactive/manual steps

• Implement security best practices for secrets management, RBAC, admission controls, policy-as-code, and audit logging suitable for highly regulated financial institutions
• Integrate compliance checks (e.g., image scanning, configuration policies, vulnerability scanning) into the environment build and deployment scripts
• Work closely with security, risk, and compliance teams to align the replicated environment with relevant standards and internal controls

• Define and tune resource requests/limits, autoscaling policies, and resilience patterns (readiness/liveness probes, pod disruption budgets, etc.)
• Implement full observability (metrics, logs, traces, dashboards, and alerts) to monitor scenarios and environment health
• Conduct benchmarking and capacity planning to ensure the environment can support realistic load and stress scenarios

• Partner with application teams, platform engineering, and architecture to understand production designs and translate them into the replicated environment
• Document the target architecture, deployment runbooks, configuration standards, and scenario execution guides for technical and non-technical stakeholders
• Provide knowledge transfer and training to internal teams on maintaining and extending the replicated environment

• Extensive hands‑on experience designing and operating Kubernetes in…