Bright Vision Technologies

Role Description We are seeking an experienced .NET Full Stack Developer to design, build, and maintain enterprise-grade web applications and distributed systems built on Microsoft technology stacks. This role spans the full engineering lifecycle — requirements analysis, architectural design, hands-on implementation, code review, deployment, and post-release support — with particular emphasis on building scalable APIs, responsive front-end applications, and cloud-integrated services. The ideal candidate will combine strong backend expertise in C# and .NET Core with hands-on experience developing modern front-end applications using JavaScript frameworks and will be comfortable deploying solutions into Azure or AWS environments while maintaining high standards of code quality, security, observability, and operational reliability. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a closely related technical discipline. - Five or more years of professional software development experience building production-grade enterprise applications. - Strong understanding of object-oriented programming principles, data structures, design patterns, and end-to-end system design. - Advanced proficiency in C#, .NET Core, and ASP.NET Web API, including familiarity with dependency injection, async/await patterns, and middleware design. - Hands-on experience developing front-end applications using Angular, React, or similar component-driven frameworks. - Strong SQL skills with deep, hands-on experience working with SQL Server, including stored procedures, query plans, and performance tuning. - Solid experience with CI/CD tooling and Git-based version control systems, including branching strategies and release workflows. - Hands-on experience deploying applications to Azure or AWS cloud environments, including managed services and identity integration. - Strong debugging, troubleshooting, and performance optimization skills, with the ability to investigate complex production issues calmly and effectively. - Experience working in large enterprise-scale environments where reliability, security, and audit-ability are first-class concerns. Requirements - Provide comprehensive end-to-end design, development, and advanced technical troubleshooting for enterprise-level web applications, from initial discovery through long-term operational ownership. - Develop secure, high-performance backend services using .NET Core and ASP.NET Web API, applying strong object-oriented design, clean architecture principles, and proven enterprise patterns. - Design and implement scalable architecture patterns — including microservices, service-oriented designs, and event-driven workflows — that support the demands of growing, distributed user bases. - Build modern, responsive front-end applications using Angular, React, or similar frameworks, ensuring excellent user experience, accessibility, and performance across browsers and devices. - Develop and optimize relational database schemas, stored procedures, indexes, and complex queries in SQL Server, with attention to performance, locking behavior, and long-term maintainability. - Produce thorough architecture and technical design documentation, ensuring alignment with performance, security, compliance, and operational standards of the enterprise. - Participate in system design discussions and ensure that development consistently aligns with enterprise architecture constraints, technology road-maps, and platform standards. - Implement robust authentication and authorization mechanisms using OAuth2, OpenID Connect, JWT, and modern identity management services such as Azure AD or Okta. - Contribute to CI/CD pipeline integration, automated builds, infrastructure-as-code practices, and reliable deployment processes across development, staging, and production environments. - Perform thorough root-cause analysis and methodically troubleshoot production issues, working to restore service quickly while ensuring long-term operational stability. - Identify technical debt, performance bottlenecks, and architectural gaps, and proactively propose and implement well-scoped improvements with measurable benefits. - Collaborate fully in Agile/Scrum environments — including planning, daily standups, demos, and retrospectives — to deliver incremental, high-quality releases on a predictable cadence. - Maintain comprehensive documentation of systems, APIs, integration workflows, and operational runbooks so that the team can scale and onboard new engineers efficiently. Benefits - Competitive base salary commensurate with experience, plus benefits. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are seeking an experienced Oracle Cloud Infrastructure (OCI) Engineer to architect, deploy, and operate large-scale, secure, and resilient cloud environments on Oracle’s next-generation public cloud. In this role you will own the full OCI engineering lifecycle, from landing-zone design and infrastructure-as-code, through workload migration and ongoing operations, including cost optimization and observability. The ideal candidate will combine deep technical knowledge of OCI services with strong DevOps and automation fundamentals, and will partner with database, application, and security teams to deliver well-engineered cloud platforms that support mission-critical Oracle and non-Oracle workloads. Key Responsibilities - Architect, deploy, and operate enterprise-grade OCI landing zones, compartments, and tenancy structures aligned with internal governance and compliance standards. - Design and implement OCI networking topologies, including VCNs, subnets, gateways, FastConnect, IPSec VPN, and DRG-based hub-and-spoke architectures. - Build and maintain OCI infrastructure-as-code using Terraform and OCI Resource Manager, with version control, peer review, and automated validation. - Implement IAM policies, federation with corporate identity providers, and strong RBAC patterns using OCI Identity Domains. - Design and operate OCI compute (VMs, bare-metal, OKE for Kubernetes) and storage services (Object, Block, File, Archive) optimized for workload patterns. - Operate OCI database services, including Autonomous Database, Exadata Cloud, MySQL HeatWave, and Base Database, in close partnership with DBA teams. - Build CI/CD pipelines on OCI DevOps service or external platforms (Jenkins, GitHub Actions) for both infrastructure and applications. - Implement observability using OCI Monitoring, Logging, APM, and integrations with third-party observability stacks. - Drive ongoing cost optimization through right-sizing, lifecycle management, and architectural simplification. - Design disaster-recovery and business-continuity solutions across OCI regions and availability domains. - Strengthen security posture using OCI Cloud Guard, Security Zones, Vault, and Data Safe, and lead remediation of findings. - Advise application development teams on OCI-native design patterns and best practices. - Develop automation tooling in Python, Bash, and Terraform to reduce operational toil. - Mentor junior engineers and contribute to internal cloud communities of practice. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with strong hands-on time on OCI. - Production-level experience with infrastructure-as-code using Terraform. - Solid experience with OCI compute, networking, storage, identity, and database services. - Hands-on experience with Oracle Container Engine for Kubernetes (OKE). - Experience with CI/CD pipelines for cloud workloads. - Strong scripting skills in Python and Bash. - Deep understanding of cloud security, IAM, and compliance requirements. - Experience with observability tooling and incident response. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Oracle Cloud Infrastructure Architect Professional certification. - Experience operating Oracle Exadata Cloud or Autonomous Database at scale. - Exposure to multi-cloud architectures spanning OCI and AWS/Azure/GCP. - Familiarity with FinOps practices on OCI. - Experience operating regulated workloads on OCI. 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) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are looking for an Observability Engineer to design and operate the metrics, logging, tracing, and alerting platforms that give engineering teams confidence in the systems they run. The role spans the full observability stack — from collection agents and pipelines to long-term storage, dashboards, and alerting workflows — with a strong focus on usability, signal quality, and operational ROI. The ideal candidate has built and operated observability platforms at scale, understands the trade-offs between open-source and SaaS approaches, and can translate noisy telemetry into actionable insight for both engineers and business stakeholders. Key Responsibilities - Design and operate enterprise-grade observability platforms covering metrics, logs, traces, events, and synthetic monitoring. - Architect Prometheus / Thanos / Mimir, Grafana, Loki, Tempo, OpenTelemetry, and Datadog deployments for high availability and scale. - Develop standards for service instrumentation, including OpenTelemetry adoption, metric naming, label cardinality, and structured logging conventions. - Define and enforce SLOs, SLIs, and error budgets, and build the dashboards and alerts that operationalize them. - Build alerting strategies that minimize noise, surface actionable signals, and integrate cleanly with on-call workflows in PagerDuty, Opsgenie, or similar tools. - Operate large-scale time-series and log storage platforms, balancing retention, query performance, and cost. - Design distributed tracing pipelines and help teams use traces to diagnose latency and reliability issues. - Develop self-service tooling, paved-road libraries, and templates that make adoption of observability standards easy for product teams. - Drive cost management and label-cardinality discipline across the observability estate. - Lead incident response readiness improvements through better dashboards, alerting hygiene, and post-incident analysis tooling. - Partner with SRE and platform teams to integrate observability into deployment pipelines, canary analysis, and progressive delivery workflows. - Evaluate and recommend observability vendors and open-source tools based on cost, capability, and operational maturity. - Mentor engineering teams on observability fundamentals, debugging techniques, and SLO-driven operations. - Maintain documentation, onboarding guides, and runbooks for the observability platform. Qualifications - Bachelor’s degree in Computer Science or a related field. - Five or more years of experience in SRE, platform engineering, or observability roles. - Deep hands-on experience with Prometheus, Grafana, and at least one major commercial observability platform such as Datadog, New Relic, or Splunk. - Strong understanding of OpenTelemetry, distributed tracing, and structured logging. - Proficiency in at least one general-purpose language such as Go, Python, or Java. - Experience operating high-cardinality, high-throughput metrics and log pipelines. - Strong understanding of SLOs, error budgets, and SRE principles. - Experience integrating observability with CI/CD and incident management tooling. - Solid grasp of Linux internals, networking, and container platforms. - Excellent communication and collaboration skills. Preferred Qualifications - Experience with Thanos, Mimir, Cortex, Loki, or Tempo at scale. - Contributions to OpenTelemetry or observability open-source projects. - Familiarity with eBPF-based observability tooling. - Experience driving observability cost optimization initiatives. - Exposure to regulated environments with audit-grade logging requirements. 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) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are seeking a skilled Azure Cloud Engineer to design, deploy, and operate large-scale, secure, and resilient cloud platforms on Microsoft Azure. In this role you will own the end-to-end cloud engineering lifecycle, including: - Architecture - Infrastructure-as-code - Automation - Security hardening - Cost optimization - Observability - Ongoing operational excellence for production workloads The ideal candidate will combine deep technical expertise across Azure services with strong DevOps engineering practices, and will partner closely with application development, security, and SRE teams to deliver cloud-native solutions that meet demanding business requirements for scalability, reliability, and compliance. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with at least three years focused on Microsoft Azure in production environments. - Strong hands-on experience with Azure core services, including compute, storage, networking, identity, and platform-as-a-service offerings. - Production-level experience with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates. - Solid experience designing and operating Azure Kubernetes Service (AKS) clusters at scale. - Hands-on experience with Azure DevOps or GitHub Actions for CI/CD across infrastructure and applications. - Strong scripting skills in PowerShell, Bash, and Python, with the ability to write maintainable automation code. - Deep understanding of cloud security principles, identity management, and compliance frameworks. - Experience implementing monitoring, alerting, and observability strategies across distributed workloads. - Strong troubleshooting, communication, and documentation skills. Requirements - Design and implement enterprise-grade Azure cloud architectures spanning compute, networking, storage, identity, and data services. - Develop, maintain, and continuously improve infrastructure-as-code using Terraform, Bicep, or ARM templates. - Configure and manage Azure landing zones, virtual networks, subnets, route tables, and network security groups. - Implement secure identity, access management, and governance controls using Azure Active Directory. - Architect and operate Azure Kubernetes Service (AKS) clusters. - Deploy, scale, and tune Azure data and analytics platforms. - Build and operate comprehensive CI/CD pipelines using Azure DevOps or GitHub Actions. - Design and implement robust observability practices using Azure Monitor and third-party tooling. - Drive Azure cost optimization initiatives. - Implement disaster-recovery and business-continuity strategies. - Strengthen security posture by integrating Microsoft Defender for Cloud and other security tools. - Collaborate closely with application teams to architect cloud-native solutions. - Develop automation scripts and tooling in PowerShell, Bash, and Python. - Mentor junior engineers and contribute to internal communities of practice. Benefits - Competitive base salary commensurate with experience. - Full-time, direct W2 employment with Bright Vision Technologies. - Long-term, multi-year engagement aligned to the Bright Vision SOW delivery roadmap. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are looking for an Edge AI Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs. Key Responsibilities - Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded accelerators. - Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints. - Tune model performance for latency, energy efficiency, and memory footprint on target hardware. - Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML. - Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs. - Implement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the field. - Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability. - Build telemetry pipelines that respect privacy while enabling continuous improvement. - Collaborate with hardware, firmware, and product teams to align AI capabilities with device constraints. - Implement secure execution paths, model protection, and integrity verification on edge devices. - Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices. - Drive responsible AI considerations including on-device privacy and bias evaluation. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. - Stay current with edge AI hardware and software developments, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for the team. Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. - Six or more years of experience in ML engineering, with significant work on edge or mobile AI. - Strong proficiency in Python and C++. - Hands-on experience with model compression, quantization, and pruning techniques. - Experience with at least one major edge inference framework. - Solid understanding of mobile and embedded hardware architectures. - Experience deploying ML models to production on mobile or embedded platforms. - Strong performance engineering and profiling skills. - Familiarity with on-device privacy and security considerations. - Strong communication and cross-functional collaboration skills. Preferred Qualifications - Experience with custom NPU or DSP toolchains. - Familiarity with federated learning or on-device personalization. - Exposure to safety-critical or industrial edge deployments. - Open-source contributions to edge AI frameworks. - Experience optimizing LLMs for on-device inference. 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) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are seeking an experienced Windchill Integration Engineer to design, build, and operate integrations connecting PTC Windchill with ERP, MES, CAD, and other engineering and manufacturing systems. In this role you will own the technical integration layer between Windchill and the broader enterprise systems landscape. The ideal candidate will bring deep hands-on Windchill integration experience and a strong understanding of enterprise integration patterns, middleware platforms, and PLM-to-ERP data flows. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of PLM integration experience with a strong focus on Windchill. - Hands-on experience with Info*Engine and Windchill Java API. - Experience designing PLM-to-ERP integrations (SAP, Oracle). - Working knowledge of CAD integration patterns. - Experience with middleware platforms such as MuleSoft, Boomi, OIC, or SAP CPI. - Strong SQL skills and familiarity with Windchill data model. - Experience with REST and SOAP web services. - Excellent troubleshooting and documentation skills. - Strong communication and collaboration skills. Requirements - Design and develop integrations between Windchill and ERP systems (SAP, Oracle EBS, Oracle Cloud) using Info*Engine, web services, and middleware platforms. - Build CAD integrations for Creo, SolidWorks, AutoCAD, Catia, and NX with Windchill, including check-in/check-out workflows and metadata mapping. - Develop integrations between Windchill and MES, MOM, and quality systems. - Build REST and SOAP services for Windchill data using OData, Info*Engine, or custom Java services. - Implement message-based and event-driven integrations using middleware (MuleSoft, Boomi, OIC, SAP CPI). - Design and operate robust error-handling, alerting, and resubmission patterns, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. - Profile and optimize performance of high-volume integrations, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Lead migration efforts to retire legacy point-to-point integrations and replace them with modern, middleware-mediated patterns, planning phased cutovers, building backward-compatibility shims where needed, and ensuring each migration step is reversible and well-monitored. - Collaborate with PLM, ERP, and CAD functional teams to align integrations with business processes. - Develop integration documentation, message specifications, and runbooks, applying disciplined engineering practices and partnering closely with stakeholders to ensure outcomes are durable, well-documented, and aligned with broader team and platform standards. - Provide hands-on post-go-live and hypercare support, working closely with operations teams to triage incidents quickly, identify root causes, and drive durable fixes that improve long-term system stability. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time. - Continuously evaluate emerging integration tools and patterns, assessing maturity, fit for purpose, and total cost of ownership, and make grounded recommendations on which to adopt, pilot, or defer based on real engineering needs. Benefits - Competitive base salary commensurate with experience, plus benefits.

Role Description We are seeking an experienced SAP BTP (Business Technology Platform) Developer to design, build, and operate extensions, side-by-side applications, and integration scenarios on SAP’s Business Technology Platform. In this role you will leverage BTP services across application development, integration, data and analytics, and AI to deliver clean-core extensions of SAP S/4HANA and other SAP applications. The ideal candidate will combine strong hands-on experience with the SAP Cloud Application Programming Model (CAP), SAP Fiori/UI5, BTP services, and CI/CD tooling with a clear understanding of clean-core principles, multi-tenant SaaS design, and SAP integration best practices. Key Responsibilities - Design and develop side-by-side extensions and standalone applications on SAP BTP using the SAP Cloud Application Programming Model (CAP) in Node.js and/or Java. - Build modern, responsive UI applications using SAP Fiori, SAPUI5, and the SAP Fiori elements framework. - Develop and consume OData v2/v4 services that integrate cleanly with SAP backend systems and third-party APIs. - Implement authentication and authorization patterns using XSUAA, SAP Identity Authentication Service (IAS), and SAP Identity Provisioning Service (IPS). - Deploy and operate applications on SAP BTP Cloud Foundry and Kyma runtimes, with appropriate scaling, monitoring, and observability. - Leverage BTP services across application development, integration, workflow, business rules, and data management. - Build and operate event-driven extensions using SAP Event Mesh and SAP Advanced Event Mesh. - Implement BTP-based AI and machine-learning use cases using SAP AI Core, SAP AI Launchpad, and integration with hyperscaler AI services. - Adhere strictly to SAP clean-core principles, minimizing modifications to standard S/4HANA and isolating custom logic in BTP. - Configure and operate CI/CD pipelines using SAP Continuous Integration & Delivery service, Project Piper, or external tooling such as GitHub Actions. - Support multi-tenant SaaS application design, including subscription management, tenant onboarding, and data isolation. - Collaborate closely with functional consultants, enterprise architects, and the integration team to align BTP extensions with broader SAP architecture. - Provide hypercare and post-go-live support, with structured incident response and performance tuning. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SAP development experience, with significant hands-on work on SAP BTP. - Strong experience with the SAP Cloud Application Programming Model (CAP) in Node.js and/or Java. - Hands-on experience with SAP Fiori / SAPUI5 development. - Solid experience with OData v2/v4 service design and consumption. - Experience with BTP runtimes (Cloud Foundry and/or Kyma) and BTP services. - Working knowledge of XSUAA, SAP IAS, and SAP IPS. - Familiarity with CI/CD patterns and tooling for BTP. - Strong understanding of SAP S/4HANA extension patterns and clean-core principles. - Excellent communication, documentation, and collaboration skills. Preferred Qualifications - SAP-certified BTP developer credentials. - Experience with SAP Build, Workflow, Business Rules, or Document Management Service. - Exposure to SAP AI Core and integration with hyperscaler AI services. - Familiarity with SAP Integration Suite / CPI. - Experience with multi-tenant SaaS applications on BTP. 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) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

Role Description We are seeking a Salesforce Technical Architect to design and govern enterprise Salesforce implementations across Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Industry Clouds. The role drives the technical strategy of complex, multi-org Salesforce environments, sets standards for security, integration, and customization, and partners with business stakeholders and engineering teams to deliver scalable, maintainable solutions. The ideal candidate has architected Salesforce at enterprise scale, holds strong opinions on declarative versus programmatic trade-offs, and brings deep platform mastery combined with practical architectural judgment. Key Responsibilities - Define Salesforce technical architecture across Sales, Service, Experience, Marketing, and Industry Cloud implementations. - Lead solution design, technical review boards, and governance for major Salesforce initiatives. - Establish standards for declarative versus programmatic implementation, including Flow, Apex, LWC, and integration patterns. - Architect data models, sharing models, and large-data-volume strategies across complex orgs. - Design integration architectures using MuleSoft, Salesforce Connect, Platform Events, Change Data Capture, and Composite APIs. - Lead org strategy decisions including single-org vs. multi-org, sandbox strategy, and DevOps pipelines. - Define security architecture including profiles, permission sets, roles, sharing rules, and OAuth/SSO patterns. - Drive performance, scalability, and governor-limit management across complex Apex and LWC implementations. - Establish DevOps and release management practices using Salesforce DX, Copado, Gearset, or AutoRABIT. - Partner with business stakeholders to translate complex CRM requirements into pragmatic Salesforce solutions. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing. - Produce high-quality architecture artifacts — context diagrams, sequence diagrams, decision records, and reference designs. - Coordinate with security, compliance, and audit teams to ensure proper controls. - Stay current with Salesforce roadmap, Einstein/AI features, and platform innovations. Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. - Eight or more years of Salesforce experience, with significant time in architecture or technical leadership roles. - Deep expertise in Apex, Lightning Web Components, and Flow. - Strong understanding of Salesforce data model, sharing model, and platform limits. - Hands-on experience with complex Salesforce integrations. - Experience designing security models at enterprise scale. - Experience with Salesforce DX and modern DevOps tooling. - Excellent communication and stakeholder management skills. - Salesforce Certified Application Architect or System Architect credentials. - Track record of leading large Salesforce programs end-to-end. Preferred Qualifications - Salesforce Certified Technical Architect (CTA) credential. - Experience with MuleSoft Anypoint Platform. - Familiarity with Industry Clouds such as Financial Services Cloud or Health Cloud. - Exposure to Einstein AI / Agentforce features. - Experience with multi-org consolidation or M&A integrations. Requirements - 8+ years of experience. - No new H1B sponsorship available; H1B transfers welcomed for qualified candidates. - Full-time, direct W2 employment with Bright Vision Technologies (no C2C, no 1099, no third-party). - Technical coding assessment is mandatory. Benefits - Competitive base salary commensurate with experience, plus benefits.

Role Description We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on: - GPU clusters - Distributed training frameworks - Scheduling - Storage performance - Developer experience for ML engineers and researchers The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. Qualifications - Bachelor’s or Master’s degree in Computer Science or a related field. - Six or more years of experience in infrastructure, platform, or HPC engineering. - Hands-on experience operating GPU clusters or large-scale ML training infrastructure. - Strong proficiency in Python and at least one systems language such as Go or C++. - Deep understanding of distributed training, accelerator architectures, and collective communication. - Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. - Strong understanding of Linux internals, networking, and high-performance storage. - Experience with at least one major cloud provider’s ML infrastructure offerings. - Strong software engineering practices including testing, CI/CD, and code review. - Excellent communication and cross-functional collaboration skills. Requirements - Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. - Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. - Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. - Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. - Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. - Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. - Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. - Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. - Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. - Partner with research and applied ML teams to plan capacity for upcoming training runs. - Implement security controls, isolation, and access management for multi-tenant AI infrastructure. - Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. - Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. - Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. Benefits - Competitive base salary commensurate with experience, plus benefits.

Role Description We are seeking an experienced Golang Developer to design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go. In this role you will work on systems where latency, concurrency, and operational efficiency are first-class concerns, and you will contribute to a codebase shared by engineers across multiple teams. The ideal candidate will combine strong Go expertise with broad systems knowledge, including network programming, container ecosystems, and distributed system design. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of professional software engineering experience, with significant time in Go. - Strong understanding of Go concurrency patterns (goroutines, channels, contexts). - Hands-on experience building production gRPC and/or REST APIs in Go. - Experience with Kubernetes-native development (client-go, controller-runtime). - Solid experience with relational and key-value data stores. - Strong understanding of distributed systems and networking fundamentals. - Experience with CI/CD pipelines and container-based deployment. - Excellent debugging and performance-engineering skills. - Strong communication and documentation skills. Requirements - Design and implement performant backend services and APIs in Go, with strong attention to concurrency, error handling, and resource management. - Build cloud-native applications using Go and Kubernetes-native libraries, applying idiomatic Go patterns, well-defined module boundaries, and operational hooks that make the resulting services easy to deploy and run. - Develop CLI tools, Kubernetes controllers, and custom operators for internal platforms, designing clear command surfaces, robust error handling, and reconciliation logic that operates safely in long-running environments. - Implement gRPC and REST APIs with appropriate observability and security. - Profile and optimize Go applications for memory, GC, and goroutine behavior, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Integrate with messaging systems (Kafka, NATS) and data stores (PostgreSQL, Redis, etcd). - Build comprehensive automated tests, including unit, integration, and benchmark tests. - Implement structured logging, metrics emission, and distributed tracing throughout services so that operators and on-call engineers have the signals they need to diagnose issues and reason about system behavior. - Lead code reviews and uphold engineering standards in Go projects. - Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time. - Contribute meaningfully to internal Go libraries, shared platform tooling, and reusable patterns that accelerate development across multiple engineering teams and codify hard-won best practices. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Continuously evaluate Go ecosystem evolution and contribute to internal patterns. Benefits - Competitive base salary commensurate with experience, plus benefits.