Noc Soc Shift Lead Jobs

Shift NOC Engineer — Johor Bahru, Malaysia. Apply via Workday.

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role: Staff NOC Analyst (5 - 8 years) Location: Bangalore (24/7 Shift Environment) Role Summary We are looking for a Cloud Operations & Staff NOC Analyst who will act as the first line of operational defense for enterprise infrastructure, cloud platforms, and applications. This role requires strong real-time monitoring, incident response, and troubleshooting capabilities, along with a proactive mindset toward improving operational processes and reducing alert noise. Key Responsibilities Monitoring & Incident Management Monitor infrastructure, applications, and cloud platforms using tools such as New Relic, Datadog, Prometheus/Grafana, AWS CloudWatch, or GCP Monitoring Perform real-time alert triage, validation, and troubleshooting to restore services quickly Act as the first responder for incidents , ensuring minimal downtime and impact Identify false positives and reduce alert noise through analysis and tuning Incident Handling & Escalation Own and manage high-priority incidents (P1/P2), including: Driving incident bridges Coordinating with cross-functional

JRSS NOC Technician III — Shiloh, IL. Apply via Workday.

Tier 3 NOC Engineer (Hybrid-Nightshift) — Philippines - Pasig City, Ortigas Center Glas Tower. Apply via Workday.

The Incharge - Regulatory & Approvals is responsible for overseeing the execution of regulatory approval processes, ensuring seamless coordination between executives and the lead. This role involves managing documentation, following up with government authorities, ensuring compliance with regulatory requirements, and providing status updates to leadership. The Incharge ensures that all necessary approvals, permits, and clearances are obtained within project timelines, minimizing risks and facilitating smooth project execution. Source: Adani Group | Job ID: 54384

Missile Defense Agency (MDA) NOC Technician III — Shiloh, IL. Apply via Workday.

D&B ECC (Enterprise Control Center) Operations provides 24x7 Level 1 support for the organization’s global production applications monitoring, incident handling, escalations and service restorations. This role is responsible for performing proactive monitoring of application alerts and events, follow standard ITIL Incident and Problem processes, escalations procedures, review application run books and execute routine service restoration steps to manage and resolve incidents. Interact with peers, application support teams, engineering teams, service desk and infrastructure NOC to facilitate effective handling of service incidents and requests.

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for a highly experienced, hands-on RTL engineer with deep packet-networking and interconnect expertise to own critical on- and off-chip communication components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip fabrics connecting high-bandwidth compute, memory, and I/O subsystems, as well as purpose-built off-chip interfaces and protocols that enable custom computing at scale. The ideal candidate has recently owned production RTL for networking or packet-switched datapaths such as Ethernet switches, NICs, SmartNICs, network accelerators, RDMA/RoCE systems, NoCs, or custom scale-up/scale-out fabrics. This is a senior engineering role with broad technical ownership and substantial direct RTL work. You will drive designs from requirements and performance analysis through microarchitecture, SystemVerilog implementation, verification closure, physical design convergence, silicon bring-up, and production readiness. You will also plan and oversee the work of junior engineers and help develop productive engineering relationships with external partners. In this role, you will: Own the microarchitecture, RTL design, and delivery of major packet-based interconnect and networking components, including NoC fabrics, switches, routers, bridges, protocol adapters, arbiters, queues, schedulers, buffers, and traffic-management logic. Design mechanisms for routing, arbitration, ordering, flow con

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. 勤務地：東京 Tenstorrentでは、AIサーバーおよび関連インフラの安定運用を支える Support Engineer. AI Infrastructure を募集しています。 本ポジションでは、GPUクラスタ、ストレージ、ネットワーク機器を含むシステムの保守・障害対応・予防保守を担当し、社内外の関係者と連携しながら、高可用性なAIインフラ環境の維持に貢献していただきます。 Who You Are ハードウェア保守・障害対応に強みを持ち、現場での迅速な切り分けと対応ができる方 顧客現場やデータセンター環境でのサポート業務を主体的に進められる方 Linuxサーバー、GPUサーバー、ネットワーク機器に関する基本的な知識と実務経験をお持ちの方 インシデント発生時にも冷静に状況を整理し、適切にエスカレーションできる方 国内外の関係者と協力しながら、正確で丁寧なコミュニケーションができる方 実務を通してAIインフラや高性能コンピューティング環境への理解を深めたい方 What We Need AIサーバーおよび関連システム（GPUクラスタ、ストレージ、ネットワーク機器等）の保守・点検・障害対応 サーバー障害時の一次切り分け、オンサイト修理、部品交換 NOC（Network Operations Center）やリモート監視ツールを用いた稼働状況の監視およびログ分析 トラブル発生時のインシデントレポート作成と関係者への報告 ファームウェア、BIOS、ドライバの更新対応 顧客向け定期点検および予防保守の計画・実施 エンジニアリング部門およびサポート部門と連携したエスカレーション対応 保守用在庫の管理、交換部品の配送調整 現場導入支援、設置・移設作業への立ち会いおよび主導 日本語および英語能力 Required Qualifications x86サーバー、もしくはにGPUサーバーの保守経験 ハードウェア障害の切り分けスキル（電源、メモリ、ストレージ、PCIe、GPU等） Linux環境（Ubuntu、RHEL、CentOS等）での操作経験 基本的なネットワーク知識（L2/L3、TCP/IP、DHCP、IPMI） 顧客現場での技術サポート経験、またはオンサイト対応経験 障害対応や保守作業に関するドキュメント作成経験 IPMItool、smartctl、nvidia-smi等の診断ツール使用経験 英語マニュアルの読解力、および海外サポート窓口とのやり取り経験 英会話能力（エンジニア間でのQ&Aが可能なレベル Nice to Have NVIDIA GPUサーバー（DGX、HGX等）やSupermicro、Inspur、Lambda等のハードウェア取り扱い経験 Ethernet、InfiniBand、NVLink、PCIeスイッチに関する知識 データセンターでの運用・保守経験 GPUベースのディープラーニングやAIワークロードに関する基礎知識 Linux shellスクリプトによる簡易自動化経験 普通自動車運転免許 英語での交渉能力および詳細なテクニカルコミュニケ~ションが可能 What You Will Learn 最先端のAIサーバーおよび高性能コンピューティング環

... Address: PLOT NO - C/3, Near DEFENCE COLONY NILADRI VIHAR, BHUBANESWAR ODISHA Facility: UTKAL HEALTHCARE PRIVATE - FS Qualification: 12th Experience: 5 - 6 years Source: Sodexo India | Job Code: IJP568696

Required experienced cook for Bulk cooking for healthcare operation Address: PLOT NO - C/3, Near DEFENCE COLONY NILADRI VIHAR, BHUBANESWAR ODISHA Facility: UTKAL HEALTHCARE PRIVATE - FS Qualification: Not Specified Experience: 7 - 10 years Source: Sodexo India | Job Code: IJP555400

... Address: 8th Floor,Platina , Plot no.C-59, G-Block , Bandra Kurla Complex, Bandra ( East) ,Mumbai Facility: MSD-INDIA-MUMBAI-OFF-CORE Qualification: Graduate Experience: 5 - 10 years Preferred Gender: FEMALE Source: Sodexo India | Job Code: IJP570522

... Address: Google India, 7th Floor, FIFC Building, G-Block, bandra kurla complex, Plot No C-54 & 55, Bandra East, Mumbai - 400051 Facility: GOOGLE INDIA _FS MUMBAI_FIFC_CORE Qualification: Not Specified Experience: 3 - 7 years Source: Sodexo India | Job Code: IJP568598

... Address: Google India, 7th Floor, FIFC Building, G-Block, bandra kurla complex, Plot No C-54 & 55, Bandra East, Mumbai - 400051 Facility: GOOGLE INDIA _FS MUMBAI_FIFC_CORE Qualification: Not Specified Experience: 4 - 10 years Source: Sodexo India | Job Code: IJP568599

About the Team Our DD Labs team builds real-time autonomous delivery systems. The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, handle long-tail edge cases, and improve continuously from large-scale fleet data. Our models jointly handle prediction and planning in a single unified architecture. Our stack is pure JAX end-to-end: the same code you train with is the code that runs on the robot. No C++ rewrites, no TensorRT export. A new policy goes from training to on-vehicle deployment in minutes. About the Role As a Senior/Staff Deep RL Engineer, you will design, train, and deploy deep reinforcement learning policies that make real-time driving decisions for our autonomous vehicles. You will own the full lifecycle, from problem formulation and reward design through large-scale distributed training to on-vehicle inference. You'll help define how learned components compose with the rest of the autonomy stack to produce robust, shippable behavior. You’re excited about this opportunity because you will… Formulate complex driving tasks as RL problems with well-shaped reward functions and expressive state/action representations. Design and train model-based deep RL agents using GPU-accelerated simulation at massive scale, including improving the simulator itself. Build and maintain distributed training infrastructure in JAX across large compute clusters. Build agentic optimization systems that automatically improve code, run experiments, analyze metrics, and iterate on RL policies with minimal human intervention. We’re excited about you because… BS/MS/PhD in CS, EE, Robotics, or a related field, with a strong foundation in reinforcement learning and deep learning. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing,