Jobs at Bright Vision Technologies

Own design, installation, upgrade, configuration, and operation of PeopleSoft environments. Lead PeopleTools/PUM upgrades, manage WebLogic/Tuxedo/ schedulers, administer search (Elasticsearch/OpenSearch), automate with shell/Python/Ansible, support Oracle DB connectivity, implement HA/DR and cloud deployments, monitor performance, provide post-go-live support, and mentor junior engineers.

Design, deploy, and operate enterprise Red Hat OpenShift clusters across on-prem and cloud. Automate lifecycle with GitOps and IaC, implement multi-tenant security, CI/CD, monitoring, backup/recovery, and upgrades. Onboard developers, tune performance, integrate storage and networking, harden the platform, and mentor junior engineers.

Design, develop, and support PeopleSoft customizations, integrations, reports, and upgrade activities. Build Application Engine programs, Component Interfaces, Integration Broker services, SQR/BI Publisher/nVision reports, optimize SQL, lead testing and hypercare, document designs, and mentor junior developers while adhering to enterprise customization standards.

Design, build, and operate enterprise integrations using Oracle Integration Cloud connecting Oracle Cloud Applications and third-party systems. Develop flows, adapters, VBCS apps, API management, error handling, migration from SOA, performance optimization, and provide post-go-live support and documentation while mentoring junior developers.

Design, prototype, and deploy applied AI solutions across NLP, vision, recommendation, and structured data. Translate business problems into ML formulations, run rigorous experiments, build production training and inference pipelines, optimize models for production, and implement responsible AI evaluations. Mentor engineers and influence the AI roadmap.

Design, build, and operate enterprise observability platforms (metrics, logs, traces, alerting). Architect Prometheus/Grafana/Thanos/Mimir/Loki/Tempo/OpenTelemetry and Datadog deployments, define SLOs/SLIs, create dashboards and alerting, integrate observability with CI/CD and incident tooling, drive cost and cardinality discipline, mentor teams, and maintain runbooks and onboarding guides.

Build and maintain production-grade network automation using Python and network APIs across multi-vendor environments. Develop IaC, CI/CD pipelines, telemetry/observability, testing/validation, source-of-truth integrations (NetBox/Nautobot), and reusable libraries; automate compliance, intent-based patterns, and mentor engineers.

Lead design and evolution of large-scale microservices ecosystems on container platforms. Define service decomposition, communication patterns, resilience, data ownership, observability, CI/CD, and security. Modernize monoliths, mentor engineers, run architecture reviews, and evaluate cloud-native technologies for scalable, maintainable solutions.

Design, build, deploy, and operate enterprise integrations on Dell Boomi AtomSphere. Own full integration lifecycle, create connectors and maps, implement API and event-driven patterns, ensure security and performance, build CI/CD pipelines, migrate legacy integrations, monitor and document systems, and mentor junior engineers.

Design, execute, and operationalize fine-tuning workflows for large language models (supervised, DPO, RLHF). Lead dataset curation, build scalable distributed training pipelines, optimize training stability and throughput, implement parameter-efficient tuning (LoRA/QLoRA), design evaluations and safety testing, operate GPU cluster jobs, manage model artifacts, and mentor engineers to productionize responsible LLM deployments.

Design, build, and operate scalable GPU/accelerator infrastructure for large-scale training and inference. Responsibilities include scheduling, storage and networking performance, framework integration (PyTorch/JAX/DeepSpeed/etc.), observability, fault tolerance, cost optimization, developer tooling, security/isolation, automation, runbooks, and capacity planning with ML teams.

Design and build high-performance backend services, Kubernetes-native applications, and infrastructure tooling in Go. Implement gRPC/REST APIs, messaging and datastore integrations, observability, testing, and performance optimization. Mentor engineers, lead reviews, contribute to shared libraries and documentation, and ensure production reliability and operational readiness.

Design and deliver multi-cloud strategy and reference architectures across AWS, Azure, GCP, and OCI. Define federated identity, cross-cloud networking, IaC/policy-as-code patterns, container/Kubernetes and serverless strategies, observability, security, FinOps, disaster recovery, and provide architecture artifacts and guidance to engineering teams.

Design, build, and maintain scalable Java/Spring Boot microservices and responsive React front-ends. Implement RESTful APIs, event integrations, automated tests, CI/CD pipelines, cloud deployments, performance tuning, and architecture improvements while collaborating in Agile teams.

Define and lead the enterprise data platform architecture across ingestion, storage, processing, governance, and consumption. Drive standards for data modeling, pipelines (batch & streaming), governance, security, cost optimization, disaster recovery, and platform enablement while mentoring engineers and partnering with ML/BI/product teams.

Develop and customize Guidewire InsuranceSuite (PolicyCenter, BillingCenter, ClaimCenter) using Gosu. Design product model changes, rules, integrations, and PCF customizations. Support Guidewire Cloud upgrades, performance tuning, automated tests, troubleshooting, and collaborate with cross-functional teams to deliver production-ready insurance platform features.

Design, build, and operate large-scale Hadoop-based data pipelines and streaming platforms. Develop ETL/ELT workflows with Spark, Hive, and Sqoop; optimize performance; implement monitoring, governance, and orchestration; collaborate with data scientists; and mentor junior engineers.

Design, deploy, and operate secure, scalable Azure platforms using IaC, AKS, CI/CD, observability, and automation. Lead cost optimization, DR planning, security hardening, and mentor engineers while collaborating with application, security, and SRE teams.

Design, build, and operate petabyte-scale data pipelines and storage for AI training and evaluation. Implement ingestion, cleaning, deduplication, dataset versioning/lineage, high-throughput loaders, labeling and human-in-the-loop workflows, privacy controls, observability, and cost/performance optimizations while collaborating with ML researchers and maintaining operational documentation.

Design, build, and maintain enterprise AEM Sites and Assets. Develop components, templates, OSGi services, Sling models, HTL front-ends, and headless GraphQL/content-fragment delivery. Implement AEM Cloud CI/CD, optimize Dispatcher and performance, integrate with Adobe Experience Cloud and external systems, troubleshoot production issues, and collaborate with authors, designers, and product owners.