About this opportunity
Infinitive lists this Senior Kubernetes Engineer opportunity in mclean, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Join to apply for the Senior Kubernetes Engineer role at Infinitive .
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.”
Role Summary
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.
Key Responsibilities
Architecture & Design
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)
Environment Replication & Isolation
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
Automation & Script-Driven Operations
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
Security, Compliance & Governance
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
Performance, Reliability & Observability
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
Collaboration & Documentation
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
Required Qualifications
Extensive hands‑on experience designing and operating Kubernetes in large, complex enterprises (financial services experience strongly preferred)
Deep knowledge of: Kubernetes primitives (Deployments, StatefulSets, DaemonSets, Services, Ingress, NetworkPolicies)
Infrastructure‑as‑code and GitOps practices
Container security and secrets management
Proven experience building fully automated, script‑driven environments with minimal or no manual steps
Strong understanding of enterprise networking, security controls, and isolation patterns (e.g., service mesh, zero‑trust, multi‑tenancy)
Familiarity with regulated industry requirements (e.g., banking/financial services security and compliance expectations)
Preferred Qualifications
Experience replicating or modeling production‑like environments for testing, DR, or sandbox purposes in a bank or large financial institution
Background in CI/CD, test automation, and performance testing within containerised environments
Experience interfacing with risk, audit, and compliance stakeholders to design defensible technical controls
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Worksite address
mclean, VA, 22107, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.