Role Description As a Machine Learning Engineer, you should be proficient in building distributed systems, containerization, orchestration, and cloud-native architectures. You will collaborate with cross-functional teams to build scalable, reliable, and production-ready ML systems. - Strong understanding and experience in leveraging the capabilities of Large Language Models. - Develop Conversational AI solutions and other cutting-edge Machine Learning techniques to enhance users' experience with AI/ML/GenAI capabilities. - Partner with product managers, software engineers, and operation teams to simplify business requirements into scalable solutions. - Highly technical, particularly around ML and AI, with the ability to lead across the full stack. - Good product sense and business understanding to map technology choices to the context of each initiative. Qualifications - Proficiency in building distributed systems. - Experience with containerization and orchestration. - Strong understanding of cloud-native architectures. - Experience with Large Language Models. - Technical expertise in ML and AI. Requirements - Ability to collaborate with cross-functional teams. - Experience in developing scalable, reliable, and production-ready ML systems. - Capability to lead across the full stack. - Good product sense and business understanding. Benefits - Flexible medical options. - Life insurance. - Retirement options. - Opportunities for community involvement through volunteer programs. Company Description Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. With AI embedded across our products and services, we help customers turn that promise into a better future for all. True innovation starts when everyone is empowered to contribute. We’re committed to growing a workforce that promotes opportunities for all.

• Drive the transition to a dynamically-driven architecture • Act as the primary technical arbiter for our journey • Lead the charge in identifying and implementing AI-driven efficiencies across our software development lifecycle • Guide the technical execution of a diverse project portfolio • Work cross-functionally with product and program management disciplines • Share your passion for staying on top of tech trends

Role Description We are looking for a Service Mesh Engineer to design, deploy, and operate service mesh platforms — primarily Istio and Linkerd — that provide secure, observable, and reliable service-to-service communication across our Kubernetes estate. The role focuses on platform engineering, mesh adoption, mTLS, traffic policy, and helping application teams reap the benefits of a mesh without paying for unnecessary complexity. The ideal candidate has operated service mesh in production, deeply understands Envoy and the data plane, and brings both platform engineering discipline and pragmatic adoption strategies. Key Responsibilities - Design and operate service mesh platforms — primarily Istio and Linkerd — across multi-cluster Kubernetes environments. - Implement and operate mTLS, certificate rotation, and identity propagation across the mesh. - Define traffic management policies including routing, retries, circuit breaking, and fault injection. - Integrate the mesh with ingress, egress, and API gateway tiers for unified traffic management. - Build observability for mesh traffic including distributed tracing, golden signals, and topology visualization. - Design multi-cluster and cross-cluster mesh topologies for high availability and tenant isolation. - Profile and optimize mesh performance, sidecar resource usage, and control-plane footprint. - Develop paved-road adoption patterns and onboarding guides that make mesh adoption easy for app teams. - Implement authorization policies and zero-trust patterns at the service mesh layer. - Operate service mesh upgrades, control-plane lifecycle management, and configuration governance. - Partner with SRE, platform, and security teams on mesh policy and incident response. - Troubleshoot complex networking, mTLS, and traffic issues spanning sidecar and gateway tiers. - Maintain runbooks, architecture diagrams, and onboarding materials for the service mesh platform. - Stay current with Istio, Linkerd, Cilium, and broader service mesh ecosystem developments. Qualifications - Bachelor’s degree in Computer Science or a related field. - Five or more years of experience in platform engineering, SRE, or networking roles. - Hands-on experience operating Istio or Linkerd in production. - Strong understanding of Envoy proxy internals and configuration. - Deep Kubernetes expertise including networking, CNI, and ingress. - Strong understanding of mTLS, PKI, and certificate lifecycle management. - Experience with distributed tracing and observability for mesh traffic. - Proficiency in Go or Python for tooling and automation. - Strong troubleshooting skills across networking, application, and control plane layers. - Excellent communication and collaboration skills. Preferred Qualifications - Experience with multi-cluster Istio or Linkerd deployments. - Familiarity with Cilium service mesh and eBPF networking. - Open-source contributions to service mesh projects. - Experience with SPIFFE/SPIRE for workload identity. - Exposure to zero-trust networking initiatives at enterprise scale. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws.

• Implement ICAM solutions to support PIV, Certificate Base Authentication, FIDO 2. • Engineer and build a secure and robust enterprise identify and access management solution • Responsible for installing, customizing, configuration and supporting SailPoint Identity and Access Management tool and processes. This includes automated provisioning/deprovisioning to downstream applications. • Facilitate and support ICAM integration to business applications and third parties, including Single Sign On enablement and management • Collaborate with customer to define organization constructs/naming conventions and user access roles • Assist with the development of process and workflows to support ICAM operation activities such as user onboarding, user lifecycle management and privilege access management • Provide assistance with the integration of an Enterprise PKI solution. • Engage with, and advise stakeholders within the business on Identity and Access Management best practices • Define, improve, and support Active Directory, Azure Active Directory and Privileged Access Management within the organization • Identify areas for delivery automated solutions (e.g. onboarding/offboarding) and maturation of existing processes by leveraging scripting