Role Description We are seeking a Storage Engineer with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Key Responsibilities - Design and operate enterprise storage platforms across NetApp ONTAP, Pure Storage FlashArray/FlashBlade, and Ceph. - Implement and manage SAN, NAS, and object storage across data center and cloud environments. - Build storage solutions for VMware, Kubernetes (CSI drivers), and database workloads. - Design and operate replication, snapshot, and backup strategies for critical data assets. - Implement and operate cloud-tiered storage with FabricPool, CloudVolumes, or equivalent. - Build storage automation using Ansible, Terraform, REST APIs, and platform-native automation. - Operate Ceph clusters including OSD lifecycle, CRUSH maps, RGW, RBD, and CephFS. - Design and operate storage performance management for high-throughput and latency-sensitive workloads. - Implement data protection strategies including ransomware protection and immutable snapshots. - Build storage observability across capacity, performance, and health dimensions. - Lead storage upgrades, firmware lifecycle management, and security patching across the storage estate. - Drive storage cost optimization including deduplication, compression, and tiering strategies. - Troubleshoot complex storage issues spanning array, network, and host layers. - Stay current with storage industry developments and emerging platforms. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of enterprise storage engineering experience. - Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. - Hands-on experience with Ceph at production scale. - Strong understanding of SAN, NAS, and object storage protocols. - Experience with storage integration for VMware and Kubernetes (CSI). - Strong scripting and automation skills using Ansible, Terraform, or REST APIs. - Strong understanding of storage performance, capacity planning, and cost optimization. - Strong troubleshooting skills across storage, network, and host layers. - Excellent communication and collaboration skills. Preferred Qualifications - Vendor certifications (NCDA, NCIE, Pure Storage certifications). - Experience with hybrid-cloud storage replication. - Familiarity with software-defined storage platforms beyond Ceph. - Experience with object storage at petabyte scale. - Exposure to AI/ML workloads with extreme I/O 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 Senior Backend Engineer focused on high-throughput platform development to design, build, and operate the foundational platforms and shared services that other engineering teams rely on to deliver their products. This role focuses on building backend platform capabilities that must handle very high traffic volumes with predictable latency and minimal operational toil. - Design and build internal platform services and shared infrastructure that hundreds of engineers depend on every day, with explicit focus on developer experience and operational ergonomics. - Architect high-throughput, latency-sensitive backend platforms capable of sustaining very high request volumes with predictable, well-bounded tail latency. - Build durable, replayable event-processing pipelines and asynchronous job execution platforms that other product teams compose to ship features faster. - Design and operate caching, rate-limiting, and request-shaping layers that protect upstream systems and enable safe scaling under bursty workloads. - Develop platform abstractions, SDKs, and paved-road libraries that codify best practices and let product teams consume capabilities without re-implementing them. - Establish robust observability, SLOs, and capacity-planning practices for platform services, raising the operational bar across the organization. - Drive multi-region, fault-tolerant, and geo-distributed designs with rigorous attention to availability, durability, and graceful degradation under failure. - Lead incident response for high-impact platform issues, conduct blameless post-mortems, and drive durable engineering improvements that prevent recurrence. - Define and enforce platform-wide standards around API design, schema evolution, deployment, and backward-compatibility guarantees. - Optimize platform performance through careful profiling, data-driven tuning, and algorithmic improvements that move the needle on throughput and cost. - Partner with infrastructure, security, and SRE teams to ensure platform services meet enterprise reliability, compliance, and security obligations. - Mentor mid-level engineers and lead architectural discussions across teams, helping the broader organization grow in distributed-systems maturity. - Produce clear technical design documents, decision records, and operational runbooks that make the platform legible to future maintainers. - Continuously evaluate emerging platform technologies, open-source projects, and architectural patterns for strategic adoption. Qualifications - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a closely related technical discipline. - Six or more years of professional backend or platform engineering experience. - Demonstrated track record building and operating internal platforms or shared services consumed by multiple engineering teams. - Strong, hands-on expertise designing distributed systems with rigorous attention to consistency, availability, latency, and failure-mode behavior. - Advanced proficiency in at least one major backend language such as Java, Go, Scala, Rust, or modern C++. - Deep understanding of high-throughput messaging, streaming, and event-driven architectures using technologies such as Kafka, Pulsar, or NATS. - Strong working knowledge of data storage systems across relational, key-value, document, and search workloads. - Proven experience leading multi-quarter platform initiatives across teams, including stakeholder management and technical decision-making. - Strong written and verbal communication skills, including ability to author crisp technical design documents and present trade-offs clearly. - Demonstrated ability to mentor engineers and shape engineering culture through code review, design review, and onboarding contributions. Preferred Qualifications - Experience operating Kubernetes-based platforms or contributing to internal developer-platform initiatives at scale. - Contributions to widely-used open-source platform or infrastructure projects. - Familiarity with control-plane / data-plane patterns, service mesh internals, or workflow-orchestration engines. - Experience designing platform APIs with strong backward-compatibility and versioning guarantees. - Public technical writing, conference talks, or other community contributions on platform engineering topics. 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 +1 (908) 765-8199. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

• Develop and optimize stored procedures, functions, and queries in large relational databases. • Maintain and improve ETL workflows and back-end data transformation jobs. • Troubleshoot data quality issues and performance bottlenecks. • Participate in schema and architecture design discussions. • Review code and provide mentorship to team members.

• Capture technical requirements and contribute to high-level and low-level design for software solutions using AWS and Azure technologies. • Write production-grade Python, and SQL code that meets high standards for maintainability, security, and observability. • Build and support complex, microservice-based, event-driven systems. • Implement testing strategies and automation across the stack. • Participate in on-call rotation and help maintain system health, performance, and reliability.