Gate Jobs

L&D Manager Requirement to support the Mundra & Khavda Cluster. The incumbent shall be based out of Bhuj Region. Functional Reportiong to RHR - Manish Kotai with Dotted Line Reporting to K Mathiraj - Business Operations Lead. We should close the role max unto 12.50 LPA. Address: 10th Floor, B/2, West gate business bay, corporate road, off. S G Highway, makarba, Ahmedabad Facility: ADANI E&R KEY ACCOUNT Qualification: Graduate Experience: 5 - 8 years Source: Sodexo India | Job Code: IJP573561

Replacement of Mr. Hitesh Sagar (S00266071) (Field Recruiter) who has left on 31st July 2026. Due to some technical glitch his name is not reflecting in resignation hence we are raising the Buffer WRF. Please approved. Address: 10th Floor, B/2, West gate business bay, corporate road, off. S G Highway, makarba, Ahmedabad Facility: GJ HR Recruitments Qualification: 12th Experience: 1 - 10 years Source: Sodexo India | Job Code: IJP562688

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Estamos buscando um Desenvolvedor de Integração experiente para projetar e implementar integrações corporativas para um programa de Modernização de Automação em larga escala no setor de Energia. A função será responsável pelo desenvolvimento dos microsserviços corporativos para realizar a conexão entre múltiplas plataformas de negócio, incluindo Portal do Cliente, CRM, Faturamento, Precificação, Previsão, Gateways de Pagamento, Utilities, Microsoft Fabric e outras plataformas SaaS. O candidato selecionado trabalhará em estreita colaboração com o Líder de Integração, Arquitetos de Soluções, Analistas de Negócios, Arquitetos de Dados e fornecedores externos para entregar integrações seguras, escaláveis, resilientes e reutilizáveis, utilizando Azure Integration Services e serviços Java Spring Boot. Visão Geral do Projeto: O programa de Modernização de Automação tem como objetivo modernizar o ecossistema da organização nas áreas de clientes, precificação, previsão, faturamento e analytics por meio de integrações API-first, nativas da nuvem e orientadas a eventos no Microsoft Azure. Principais Responsabilidades: • Projetar e desenvolver integrações corporativas utilizando Azure Integration Services e Java Spring Boot. • Desenvolver APIs RESTful e microsserviços utilizando Java e Spring Boot. • Desenvolver e configurar APIs utilizando Azure API Management (APIM). • Implementar padrões de integração síncronos e assíncronos com base nos requisitos da solução. • Desenvolver integrações de mensageria e orientadas a eventos utilizando Azure Service Bus, filas, tópicos, assinaturas e serviços relacionados do Azure. • Imple

As a Commercial Operations Analyst at Zoox, you will help build and run the operational engine that drives our commercial P&L. Sitting at the center of our commercial business, you will turn pricing, promotions, and demand signals into the day-to-day and week-to-week decisions that move our growth and profitability targets—and stand up the rigor and rhythm that lets us manage those levers as we scale. This is a high-ownership role for someone who is equally comfortable in the data and in the operating cadence of a fast-moving business. You will partner closely with Product, Data Science, Fleet Operations, and Finance to translate complex commercial dynamics into clear actions, while helping establish the foundational processes that a growing Central Market Management team will be built on. It is ideal for a technical, structured operator who is energized by ambiguity and excited to shape how an autonomous mobility business is run. In this role you will: Set the objectives that pricing, promotions, and fleet deployment optimize against, from the weekly supply plan to real-time dispatch, so that decisions made in separate systems add up to one commercial plan. Partner day to day with Data Science on elasticity estimation, price effects modeling, demand and supply forecasting, supply planning, and marketplace simulation, bringing a clear point of view on what to build. Set the priorities for the vertical: size the expected business impact and effort of each initiative with the science and engineering leads, stack rank them, and re-rank each quarter as results come in. Drive delivery across the teams that build these systems, managing dependencies, holding the schedule, and escalating early when a date is at risk. Design the experiments and simulation studies that gate launches, set ship criteria and guardrail metrics before launch, make the ship call, and write the readout against the sizing that justified the work. Run the w

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just comp

We are seeking senior engineers to pioneer new methodologies for accurately assessing the performance and capabilities of ground-breaking deep learning models, including LLMs, RAG, agents, and vision models. You will collaborate across the organization to bring the latest flagship models from our community and partners to life. This role offers an outstanding opportunity to craft the future of AI at a fast-growing company at the forefront of the AI revolution. Join our team of world-class software engineers and partners to deliver the most advanced models with lightning-fast inference. You'll work on the most powerful, enterprise-grade GPU clusters capable of hundreds of PetaFLOPS and gain early access to unreleased hardware, making a direct impact on NVIDIA's roadmap and the broader AI landscape! What you’ll be doing: Design and build decision-grade evaluation environments for NVIDIA's frontier models spanning reasoning, multimodal, long-context, and agentic systems, producing auditable accuracy signals that gate every major model release. Research and develop novel evaluation methodologies for emerging model families and capability domains (low-precision numerics, multi-turn agentic tasks, code generation) where established benchmarks don't yet exist or don't generalize. Build and operate the evaluation infrastructure and pipelines including benchmark environments, regression CI systems, and statistical analysis tooling, used by model, product, and applied research teams across NVIDIA. Partner with model research, training, and customer teams to translate evaluation signals into concrete decisions: release go/no-go, training iteration direction, and competitive positioning against external frontier models. What we need to see: BS, MS, or PhD in Computer Science, Machine Learning, Statistics, or a related field <li

Job Title Head of SAP Transformation Job Description The Head of SAP Transformation leads the migration from SAP ECC to SAP S/4, the largest enterprise transformation program in Philips IT. SAP Transformation is one of the IT Platforms in the Philips IT operating model and reports to the CIO. The role runs the multi-year program end to end, in close partnership with the business program leader and the businesses and functions: migration approach, business case, plan, budget, partners, risk and executive reporting. The S/4 solution is designed with AI-enabled processes from the start, using the enterprise AI services and guardrails provided by AI CoE & Architecture. As releases go live, the role hands the S/4 landscape over to the run organisation, Group Functions & Supply Chain IT, which is accountable for the SAP platforms, and closes out the program once the transition is complete and legacy SAP ECC is decommissioned. This is a Vice President position within the Philips IT Leadership Team. Key Responsibilities SAP S/4 Program Leadership Serve as overall program leader for the SAP S/4 transformation, together with the business program leader, owning the migration approach (brownfield, greenfield or hybrid), value case, roadmap, timeline, budget, risk management and executive reporting. Drive the decision on migration approach, evaluating cost, risk, business disruption and AI readiness, in partnership with the business program leader, Finance and the CIO. Coordinate business-specific S/4 workstreams with the businesses, functions and regions, ensuring enterprise process standardisation where it adds value while accommodating legitimate business requirements. Run the program through clear stage gates covering design, build, testing, data migration, cutover and hypercare for each release. Own the legacy SAP ECC decommissioning plan,

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-based, containeriz

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is seeking an experienced Chief Compliance Officer (CCO) for Ramp Advisory LLC, our SEC-registered investment adviser. This is a high-accountability, build-and-own role. You will own and be accountable for the firm's compliance program in house, and be the gatekeeper who protects clients and the firm while keeping pace with how fast Ramp ships product. You will report to Ramp's Head of Compliance, with direct access to Ramp Advisory's senior leadership. What You'll Do Serve as Ramp Advisory LLC’s designated CCO, with independent authority over the design, execution and effectiveness of the compliance program Act as the firm’s primary point of contact with the SEC, and represent the program, product and key compliance decisions with regulators Maintain the firm’s policies and procedures, Code of Ethics, and Form ADV and amendments, and conduct the annual compliance review Provide compliance advice and sign-off on marketing materials, customer disclosures, onboarding agreements and product changes Own books and records, communicati

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Develop test plans at SOC Level and analyze Coverage. Build verification environments to verify complex SOCs. Develop Random/Directed test in RTL and GLS environments. Review architectural specifications to ensure high quality. Work with customers to understand their verification and validation requirements and provide the necessary collateral. Engage with customers to support issues with current HBM architectures and find opportunities to innovate on future HBM solutions. Work with IP suppliers to ensure that proper verification and validation collaterals are provided. Identify and flag quality issues, performance problems, and opportunities to reduce power consumption. Debug and identify root causes and solutions for pre-silicon and post-silicon issues encountered in current HBM products and architectures. Employer will accept a Bachelor’s degree in Electrical and Computer Engineering, or related field and 3 years of experience in the job offered or in a related occupation. Position requires: 1. SoC or IP verification; 2. Writing tests and developing verification environments using System Verilog and UVM; 3. Building verification environments or validating complex SOCs; 4. Working with IP vendors and verifying IP integration; 5. Gate-level simulation (GLS); 6. Python; 7. UCIE, memory controller, NOCs, MBIST, or ATPG scan controllers; and 8. DRAM operation and JEDEC specifications such as HBM product family. <p

At NVIDIA, our Senior DFT Engineers lead the way in silicon test innovation, ensuring flawless execution and outstanding quality in our next-generation silicon platforms. This is an outstanding opportunity to join a world-class team and make a significant impact in the semiconductor industry! What You'll Be Doing: Design and roll out advanced test methodologies on NVIDIA’s next-generation silicon platforms. Own and work with cross-functional teams to implement the latest in test access mechanisms, IO BIST, memory BIST, and scan compression. Collaborate closely with VLSI and Product Engineering groups to design innovative DFT approaches that advance silicon test technology. Lead end-to-end planning and timely execution of NVIDIA's new chip bring-up efforts, from pre-silicon through production deployment. Develop and standardize methodologies, processes, and workflows for silicon bring-up, crafting reusable checklists and playbooks. Improve cross-team communication, work, and handoffs. Guide and mentor junior engineers, helping them navigate complex build trade-offs to achieve world-class quality and efficiency. What We Need To See: BSEE (or equivalent experience) with 5&#43; years, MSEE with 3&#43; years, or PhD in DFT or related domains. Demonstrated knowledge and expertise in defining scan test plans, BIST including memories and IOs, fault modeling, ATPG, and fault simulation. Excellent analytical skills in verification and validation of test patterns and logic on complex and multi-million gate builds using vendor tools. Experience in silicon debug and bring-up with an understanding of pattern formats, failure processing, and test program development. Strong programming and scripting skills. Excellent written and or

The Applications Development Senior Programmer Analyst — Forward Deployed Engineer (C12) is an intermediate-level software engineering position responsible for constructing automated evaluation harnesses, curating regression testbeds, optimizing prompts and output schemas, and automating testing pipelines within embedded LOB delivery pods. The overall objective of this role is to ensure the reliability, accuracy, and safety of production AI agents by building rigorous evaluation suites in Agentflow Studio and driving automated CI/CD test execution. Responsibilities: Conducts tasks related to the construction, calibration, and execution of automated evaluation test suites using Agentflow Studio , measuring agent task completion, tool call correctness, latency, and hallucination metrics. Curates and maintains domain-specific golden datasets, synthetic benchmarks, and regression testbeds in collaboration with LOB domain experts and senior engineers. Optimizes prompt templates, system instructions, few-shot examples, and structured JSON output parsers (Pydantic/JSON Schema) to maximize deterministic agent behavior. Authors and maintains automated test execution and deployment pipelines within Lightspeed CI/CD , enforcing continuous evaluation gates prior to staging and production rollout. Utilizes in-depth specialty knowledge of Python applications development to analyze complex agent errors, evaluate system performance, and recommend advanced coding and prompt solutions. Recommends and implements security measures and Lakera Guardrail policies in post-implementation analysis of agent usage to ensure safe functionality. Monitors and controls evaluation test cycles, providing operational support, performance metrics, and prompt diagnostic reporting to business stakeholders and squad leads. Has the ability to

We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: Build and develop platform services that manage the full agent lifecycle from registration through deployment, execution, and teardown Architect multi-tenant Kubernetes execution environments with pod lifecycle management, per-tenant namespace isolation, persistent storage, admission policy enforcement, and identity propagation Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams Build framework-agnostic infrastructure supporting multiple agent SDKs and harnesses — lifecycle hooks, skills configuration, memory services, and OTEL instrumentation — so teams can onboard new agent frameworks without platform changes Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context Implement session management for state persistence, conversation history, and agent recovery across sessions Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, or

ROLE SUMMARY Our Global Cyber Defense team is responsible for safeguarding Pfizer’s digital assets and infrastructure through proactive threat detection, response, and risk mitigation across on-premises, cloud, and hybrid environments. The Manager, Email Security Engineering is responsible for leading and advancing enterprise-wide protections across email, collaboration, and messaging platforms—critical threat surfaces within the Cyber Defense organization. Email remains a primary vector for phishing, business email compromise, malware delivery, and account takeover in the pharmaceutical industry. This role will lead the design, implementation, and continuous improvement of email security capabilities across our global enterprise. The role is critical to protecting research, clinical, manufacturing, and corporate environments by delivering resilient, scalable, and compliant controls that prevent, detect, and respond to email-borne threats. ROLE RESPONSIBILITIES Lead Email Security Engineering initiatives across enterprise email, collaboration, and messaging platforms, including secure email gateways, cloud email security, anti-phishing, anti-malware, and domain protection capabilities. Define and execute the email security strategy and roadmap in alignment with the evolving threat landscape, business priorities, and regulatory requirements. Own the engineering and lifecycle management of email security technologies, including deployment, configuration, policy tuning, automation, integration, performance, and continuous optimization. Strengthen defenses against phishing, business email compromise, malicious attachments and links, spoofing, impersonation, and account takeover through layered preventive and detectiv