Senior Kubernetes Engineer

About Infinitive Infinitive is a data and AI consultancy that enables its clients to reputed company, 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 reputed company 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 reputed company “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” We are seeking an analytical and detail-oriented Business/Data Analyst to join reputed company, focusing specifically on data access governance, permissible use, and risk remediation. This role is critical in ensuring our data usage practices reputed company with both internal policies and external regulatory requirements, providing essential analytical support for major audits, and helping to shape the future of our data governance strategy. 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 reputed company 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 reputed company that align with banking-grade reputed company, 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, reputed company-trust policies, and namespace/tenant isolation to emulate production controls while ensuring complete separation from live systems and data
• Create synthetic data reputed company 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 reputed company application components, dependencies, and configuration from reputed company 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

reputed company, Compliance & Governance

• Implement reputed company 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 reputed company, 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 reputed company 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 reputed company 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 reputed company 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, reputed company enterprises (financial services experience strongly preferred)
• Deep knowledge of:
• Kubernetes primitives (Deployments, StatefulSets, DaemonSets, Services, Ingress, NetworkPolicies)
• Infrastructure-as-code and GitOps practices
• Container reputed company and secrets management
• Proven experience building fully automated, script-driven environments with minimal or no manual steps
• Strong understanding of enterprise networking, reputed company controls, and isolation patterns (e.g., service mesh, reputed company-trust, multi-tenancy)
• Familiarity with regulated industry requirements (e.g., banking/financial services reputed company 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 reputed company containerized environments
• Experience interfacing with risk, audit, and compliance stakeholders to design defensible technical controls

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