Jobs at Bright Vision Technologies

Lead design and evolution of large-scale microservices ecosystems: service decomposition, domain-driven design, distributed data, resilience, observability, and security. Provide hands-on architectural leadership, API and event-driven design, cloud/native platform guidance, and multi-team architecture stewardship to keep systems maintainable at scale.

Design and govern cloud-native solutions across compute, networking, data, identity, and security on a major cloud platform. Partner with stakeholders and engineering teams to produce architecture artifacts, lead architecture reviews, guide migrations and modernization, and balance cost, security, and maintainability.

Design, build, and operate end-to-end observability platforms (metrics, logs, traces, alerting). Improve signal quality, scalability, and usability; integrate telemetry with CI/CD and incident management; optimize cost and compliance for engineering and business stakeholders.

Design and implement end-to-end Industrial IoT solutions from edge data acquisition to cloud ingestion and real-time analytics. Architect secure connectivity, edge runtimes, and operational dashboards; translate ambiguous requirements, perform code and design reviews, troubleshoot production systems, and mentor junior engineers while collaborating with product, design, operations, and business stakeholders.

Build and operate large-scale data systems powering AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, and high-throughput delivery to training jobs, operating petabyte-scale storage and pipelines, and ensuring reproducibility for ML workflows.

Design, build, and operate enterprise integrations connecting Oracle Cloud Applications, on-prem Oracle systems, and third-party platforms. Own full integration lifecycle: analysis, design, development, testing, deployment, monitoring, and support. Implement OIC integrations, APIs, security standards, and migrations from Oracle SOA Suite; troubleshoot and document solutions.

Design, implement, and optimize compute‑intensive GPU workloads using CUDA for AI training, inference, scientific computing, and high-throughput data processing. Profile and tune production GPU systems, integrate custom kernels into ML frameworks, collaborate with cross-functional teams, perform code and design reviews, and mentor junior engineers to deliver high-performance, production-ready solutions.

Design, build, and operate large-scale Hadoop-based data pipelines and analytics platforms. Ingest, transform, and analyze massive structured and unstructured data to support enterprise analytics, ML, and reporting. Ensure reliable, performant production data platforms with troubleshooting, documentation, and orchestration.

Design and build high-performance backend services and cloud-native applications in Go. Work on low-latency, concurrent, and distributed systems; implement gRPC/REST APIs, Kubernetes-native components, and CI/CD container deployments. Collaborate across product and engineering, perform code and design reviews, mentor junior engineers, and optimize production performance and reliability.

Design, deploy, and operate large-scale, secure Azure cloud platforms. Own architecture, infrastructure-as-code, automation, security hardening, cost optimization, observability, and operational excellence. Implement CI/CD, AKS at scale, monitoring, and partner with development, security, and SRE teams to support production workloads.

Lead design and delivery of an enterprise data platform covering ingestion, storage, processing, governance, and consumption. Define standards for modeling, lifecycle management, and governance; partner with engineering, analytics, ML, and business teams; and drive large-scale data platform initiatives and operationalization.

Design, build, deploy, and operate enterprise integrations on the Dell Boomi AtomSphere platform. Own full integration lifecycle, partner with architects and application teams, implement API management and event-driven patterns, perform code and design reviews, mentor junior engineers, and provide production support and documentation.

Optimize throughput, latency, and cost for training and inference of large neural networks. Work across low-level kernel optimization to distributed system tuning, GPU memory management, profiling, and model compression. Collaborate with cross-functional teams, perform instrumentation and measurement, mentor junior engineers, and drive production-grade performance improvements.

Design, execute, and operationalize fine-tuning workflows for LLMs using supervised, preference-based, and reinforcement learning techniques. Build reliable training pipelines, dataset construction, evaluation methodologies, and operate GPU cluster jobs. Collaborate with product, design, engineering, and stakeholders to deliver production-grade LLM solutions and mentor junior engineers.

Design, deploy, and operate cloud networking (VPC/VNet, hybrid connectivity, transit, DNS, security). Build scalable cloud network topologies, automate with IaC, troubleshoot packet-level issues, collaborate across teams, and mentor junior engineers.

Design, optimize, and deploy ML models for resource-constrained edge devices. Focus on model compression, quantization, hardware-aware optimization, profiling, and production deployments to mobile and embedded platforms while ensuring on-device privacy and reliable performance.

Deliver Guidewire InsuranceSuite configuration, Gosu development, integrations, and customizations across PolicyCenter/BillingCenter/ClaimCenter and Guidewire Cloud. Design product model and rules, support Cloud upgrades, troubleshoot database issues, collaborate with cross-functional teams, perform code/design reviews, and mentor junior engineers.

Design, deploy, and operate secure, resilient Oracle Cloud (OCI) environments. Own landing-zone design, IaC (Terraform), workload migration, OKE/Kubernetes operations, CI/CD, cost optimization, observability, incident response, and cross-team collaboration to support mission-critical Oracle and non-Oracle workloads.

Design, deploy, and operate enterprise-grade Red Hat OpenShift platforms across on-prem and cloud. Own cluster provisioning, hardening, workload onboarding, developer enablement, and ongoing operations. Partner with application, security, and infrastructure teams to deliver stable, secure, and developer-friendly container platforms, and drive continuous improvement.

Design and lead multi-cloud architecture strategies and reference architectures across AWS, Azure, GCP (and OCI). Focus on portability, abstraction layers, federated identity, cross-cloud networking, IaC/policy-as-code, and Kubernetes/container platforms. Collaborate with stakeholders to hide cloud-specific complexity and drive multi-cloud platform capabilities and migrations.