Prompt Engineering Jobs in Gurgaon

Job Title: AI/ML Team Lead Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time Category: Engineering & Technical About CNH Industrial Innovation. Sustainability. Productivity. CNH Industrial is committed to advancing the vital work of farmers and builders worldwide. Our cutting-edge solutions from alternative power sources to precision technology drive productivity while caring for our planet. Join a collaborative global team passionate about innovation and customer success. Job Purpose Lead the design, development, and deployment of advanced AI/ML and Generative AI solutions to drive innovation and business value. Act as the technical and strategic leader shaping AI initiatives, ensuring scalable and ethical architectures aligned with business goals. Manage cross-functional collaboration and communicate complex concepts clearly to drive adoption. Experience in both POCs and production-grade AI solutions is essential. Key Responsibilities Generative AI Leadership Architect and deploy GenAI solutions such as chatbots, intelligent document processing, code generation, content summarization, and personalization. Customize and fine-tune foundation models (GPT, LLaMA, Claude, Mistral) for domain-specific applications. Evaluate and integrate GenAI frameworks (LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. Technical Strategy & Execution Define and execute a Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business teams to prioritize AI use cases. Lead POCs and pilots validating AI ideas before scaling. Ensure secure, ethical, and governed deployment of AI systems. Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. Platform & Infrastructure (Azure Focus) Deploy and operationalize models on cloud platforms, especially Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure including vector databases, inference endpoints, and GPU resources for performance and cost-efficiency. Utilize MLOps practices for lifecycle management and reproducibility. Experience Required 8+ years in AI/ML roles with 2+ years focused on Generative AI. Proven hands-on experience with foundation models (GPT-4, Claude, LLaMA) and tooling ecosystems. Proficient in Python and AI/ML libraries such as PyTorch and Hugging Face Transformers. Deep knowledge of prompt engineering, RAG, LLMOps, and model fine-tuning. Experience with vector databases like FAISS, Pinecone, Weaviate, or Azure AI Search. Familiarity with enterprise AI integration via APIs, plugins, and cloud deployment. Preferred Qualifications Bachelor s, Master s, or PhD in Computer Science, Machine Learning, AI, or related fields. Dynamic international career opportunities. Inclusive culture committed to respect and equality. Flexible work arrangements. Savings & retirement benefits. Tuition reimbursement. Parental leave, adoption assistance, fertility & family-building support. Employee Assistance Programs. Charitable contribution matching and Volunteer Time Off. Grow your career with CNH Industrial innovate for a sustainable future and help build better lives.

Prompt Engineer (Software Engineer) Analyst Location: Gurgaon, India (On-site) Function: Content Engineering Experience: 0-1 years About GlobalLogic GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to some of the world s largest and most innovative companies. Since 2000, we have driven the digital revolution, creating cutting-edge digital products and experiences that transform businesses and industries globally. At GlobalLogic, we prioritize a culture of caring, continuous learning, and balance, fostering an environment where creativity and innovation thrive. Role Overview As a Prompt Engineer, you will focus on designing, developing, and optimizing prompts for natural language understanding systems, especially conversational AI and chatbots. This role requires a strong foundation in Python, data science, and natural language processing, combined with hands-on experience in prompt engineering, deep learning models, and relevant AI frameworks. Key Responsibilities Design and develop effective prompts for conversational AI and NLU systems. Collaborate with engineers and data scientists to integrate and refine prompts. Analyze user behavior and model outputs to enhance prompt quality and response accuracy. Optimize algorithms to improve prompt generation efficiency and effectiveness. Continuously update knowledge on NLP advancements and apply innovative techniques. Test and evaluate prompts for quality, relevance, and user experience improvement. Work cross-functionally to ensure seamless integration of prompts into products. Identify and resolve prompt-related challenges to boost conversational AI performance. Qualifications Bachelor s degree in Artificial Intelligence, Machine Learning, or related field (B.Tech freshers welcome). Strong programming skills in Python and experience with databases and data science methodologies. Proven knowledge of NLP, prompt engineering, and conversational AI or chatbot systems. Familiarity with deep learning concepts including transformers, GANs, VAEs, and large language models (LLMs). Proficiency with AI frameworks such as TensorFlow, PyTorch, and spaCy. Ready to work on-site with rotational shifts (5 working days, 2 weekly offs). Immediate joining preferred. Inclusive, caring culture fostering acceptance and collaboration. Robust learning and development opportunities to accelerate your career growth. Meaningful work on innovative projects shaping the future of AI and digital experiences. Work-life balance with flexible arrangements and supportive policies. A high-trust, ethical organization valuing integrity and transparency. Qualification : Bachelors degree in Artificial Intelligence, Machine Learning, or related field

Job Title: Computer Vision Researcher Diffusion Models (Generative AI) Location: Gurugram, India | Work Mode: Full-Time, Onsite (5 Days/Week) Experience: 2+ Years in Generative AI & Computer Vision Who We Are Driving the Future of Automotive AI At Spyne, we re revolutionizing how cars are marketed and sold through cutting-edge Generative AI. What began as a bold idea to automate automotive photography has evolved into a full-stack AI ecosystem that helps dealerships sell faster, smarter, and more visually. Backed by $16M Series A funding (Vertex Ventures, Accel, and more) Expanded into US & EU markets Launched industry-first AI-powered 360 imaging solutions 5x revenue growth in 15 months, targeting 3 4x more this year Pioneering GenAI-powered sourcing, pricing, and CRM for global dealerships Role Overview: Computer Vision Engineer Diffusion Models We re hiring a Computer Vision Researcher with deep expertise in Diffusion Models and Generative AI to push the boundaries of image generation, model fine-tuning, and real-world AI deployment. This is a hands-on research and development role where you will be working with state-of-the-art techniques like Stable Diffusion, ControlNet, and Hypernetworks to build powerful production-ready AI models. Key Responsibilities Fine-Tune Diffusion Models: Optimize diffusion-based architectures for enhanced image quality, realism, and controllability. Prompt Engineering & Output Control: Refine prompt-to-image pipelines using custom prompt engineering strategies. Image Quality Enhancement: Design post-processing and ranking systems to boost visual aesthetics and accuracy. Integrate Advanced AI Models: Combine diffusion models with GANs, Transformers, and other architectures to improve creative outputs. Production-Grade Deployment: Deploy models in scalable environments using Docker, Kubernetes, and cloud services. Cross-Functional Collaboration: Work with researchers, MLOps, and product teams to bring GenAI capabilities into customer-facing platforms. Innovate Continuously: Stay at the forefront of academic and applied AI trends to bring new ideas into Spyne s AI product stack. Ideal Candidate Profile Education & Background B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field 2+ years of experience in Computer Vision, Diffusion Models, and Generative AI Technical Expertise Strong understanding of diffusion models like Stable Diffusion and Denoising Diffusion Probabilistic Models (DDPMs) Hands-on experience with ControlNet, Hypernetworks, LoRA, or similar architectures Proficient in prompt engineering and guided image generation techniques Solid foundation in image processing, deep learning, and model optimization Experience with production AI deployment, including cloud infrastructure, CI/CD, and containerization tools (Docker, Kubernetes) Programming in Python, with experience using PyTorch, TensorFlow, and relevant libraries Soft Skills & Mindset Strong analytical and debugging skills able to troubleshoot models in research and production Excellent communication able to present complex ideas simply A team-first mindset collaborative, adaptable, and ownership-driven Comfortable in a fast-paced, office-first environment focused on innovation and rapid development At Spyne, we build careers, not just roles in an innovation-first, people-centric culture. Employee Benefits & Perks Comprehensive Health & Life Insurance Full coverage for employees and dependents (GMC, GPA, GTLI) Performance-Driven Growth Merit-based career path and ownership opportunities from Day 1 Learning & Development Access to LinkedIn Learning, internal mentorship, and real-world AI challenges Office-First Culture Real-time collaboration, hands-on problem-solving, and innovation that happens faster in person Equity for Top Talent Competitive salary with stock options for high performers If you re a Computer Vision expert passionate about diffusion models, AI research, and bringing GenAI to production, Spyne offers you the platform to build, lead, and grow in one of the fastest-growing AI verticals in the world. Apply Now to be part of Spyne s GenAI journey! Qualification : B.Tech / M.Tech / MS in Computer Science, AI, Data Science, or a related field

Job Title: Product Manager (LLMs & AI) Location: Gurgaon, Haryana Experience: 3-7 years Department: Product Management Employment Type: Full-Time About Spyne At Spyne, we are redefining how cars are marketed and sold with cutting-edge Generative AI. What started as a bold idea using AI-powered visuals to help dealers sell online faster has grown into a full-fledged AI-first automotive retail ecosystem. Backed by $16M in Series A funding from Vertex Ventures, Accel, and other top investors, we are scaling rapidly: Expanded across US & EU markets. Launched industry-first AI-powered Image & 360 solutions. Achieved 5X revenue growth in 15 months, with a goal for 3-4X growth this year. We are now rolling out an end-to-end GenAI Automotive Retail Suite and expanding into the US market to bring our AI-driven products to 3,000-4,000 dealers. What We Are Looking For We are looking for an experienced Product Manager to lead the development of Large Language Model (LLM)-powered applications and AI agents. This role will focus on harnessing the power of LLMs (e.g., OpenAI s GPT, Claude, or similar models) to create advanced, context-aware conversational agents and automation systems. As a Product Manager (LLMs & AI), you will work on defining and delivering AI solutions that transform the user experience, streamline processes, and unlock new business opportunities for Automotive dealers and buyers. This is a critical role in shaping Spyne s product strategy, translating user needs into AI-driven solutions, and collaborating with cross-functional teams to deliver innovative, AI-powered products. Product Strategy & Vision: Define and execute the roadmap for LLM-powered applications and AI agents, aligning with market trends and user needs. AI Innovation: Explore cutting-edge applications like chatbots, decision-support systems, and automation tools. Research & Experimentation: Collaborate with engineers and data scientists to fine-tune and deploy LLMs for real-world use cases. AI Advancements: Stay updated on emerging capabilities like multi-turn dialogue, in-context learning, and fine-tuning techniques. AI Agent Development: Build context-aware AI agents that integrate seamlessly into user workflows. Automation Solutions: Develop AI-driven tools for automating tasks like email responses, scheduling, and data extraction. User Experience & Adoption: Convert user pain points into intuitive AI-driven solutions with explainable outputs. Seamless AI-Human Interaction: Ensure smooth AI adoption by refining user interfaces and interactions. Cross-Functional Collaboration: Work closely with Engineering, Data Science, and Design teams to prototype and scale LLM-based features. AI Market Positioning: Collaborate with Sales and Customer Success teams to position AI capabilities as a key differentiator. Performance Metrics: Define and track KPIs such as accuracy, response time, and user engagement. Continuous Optimization: Enhance AI model efficiency and user satisfaction through iterative improvements. What You Must Have 1 3 years of product management experience in AI, SaaS, or data-driven products. Proven experience building or scaling LLM-powered applications (e.g., GPT, Claude). Strong familiarity with fine-tuning, prompt engineering, context management, and model evaluation. Ability to communicate AI concepts to non-technical stakeholders. Hands-on experience with Figma, Jira, and LLM APIs (OpenAI, Anthropic, Hugging Face). Data-driven mindset with a strong grasp of AI product metrics. Thrive in fast-paced, ambiguous environments. Strong Culture: A supportive and collaborative work environment that encourages innovation. Transparency & Trust: High levels of autonomy and trust in decision-making. Competitive Salary & Equity: Stock options for top performers. Health Insurance: Comprehensive coverage for employees and their dependents, including GMC, GPA, and GTLI coverage. Dynamic Growth Environment: Join a fast-paced, high-growth setting that will accelerate your professional development. Shape the Future of AI-Powered Automotive Retail If you're passionate about AI and want to play a key role in transforming the automotive retail experience, join Spyne and help us define the future of AI-powered automotive retail!

Job Title: Engineering Manager SaaS & Logistics Tech | Gurgaon, Haryana Location: Gurgaon, Haryana, India Job Type: Full-time Department: Engineering Industry: SaaS | Logistics & Supply Chain Technology Company: Shipsy About Shipsy Shipsy is a leading global SaaS company that s reshaping the logistics and supply chain industry. Our platform offers end-to-end visibility, intelligent automation, and AI-driven solutions for businesses to optimize freight and delivery management. In just a few years, we ve gained a dominant share of India s courier/express sector, with over 30% of the industry flowing through our platform, while also expanding into international markets like Saudi Arabia, UAE, and Southeast Asia. Our platform processes over 1.5 million transactions daily, and we're on a mission to digitize global trade. Shipsy helps companies manage everything from vendor rate procurement and digital workflow management to AI-based reconciliation, reducing invoicing errors and improving operational efficiency. We are a remote-first company with offices in Gurugram, Mumbai, Bangalore, and Dubai. Backed by Sequoia Capital and Info Edge, our fast-growing team is composed of top-tier talent from IITs, IIITs, NITs, and global companies like Samsung, MIT Media Labs, Deutsche Bank, and more. Role Overview: Engineering Manager We re looking for a visionary Engineering Manager to lead and inspire our dynamic engineering team at Shipsy. You will be responsible for driving innovation, ensuring the timely delivery of high-quality products, and optimizing development processes to enhance the overall performance of our platform. This role offers a unique opportunity to work on cutting-edge technology and shape the future of logistics through scalable, AI-powered solutions. Key Responsibilities Team Leadership & Mentorship Lead, mentor, and manage a team of talented software engineers. Foster a collaborative environment that encourages professional growth and technical excellence. Conduct regular performance evaluations and provide feedback to drive continuous improvement. Strategic Engineering & Project Management Develop and implement engineering strategies aligned with organizational goals and objectives. Manage multiple projects simultaneously, ensuring timely delivery of high-quality software solutions. Collaborate with product, design, and other cross-functional teams to define and prioritize product features. Agile Methodology & Process Optimization Implement and maintain Agile methodologies to improve team performance and project delivery. Oversee the entire software development lifecycle (SDLC), ensuring adherence to best practices and coding standards. Continuously evaluate and improve development processes for maximum efficiency. Resource & Budget Management Manage project budgets, resources, and capacity planning for engineering initiatives. Ensure effective allocation of resources and align team priorities with business objectives. Innovation & Industry Expertise Stay up-to-date with emerging technologies and industry trends to drive innovation within the team. Lead efforts to integrate cutting-edge technologies and solutions into the development process. Collaboration & Communication Cultivate strong working relationships with stakeholders across the business to ensure alignment and transparency. Communicate technical concepts clearly to both technical and non-technical audiences. Qualifications & Skills Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree preferred). 5+ years of software engineering experience, with at least 3 years in a management or leadership role. Proven track record of successful project delivery, team leadership, and technical decision-making. Expertise in Agile methodologies and project management tools like Jira, Confluence, etc. Strong understanding of the software development lifecycle (SDLC), from ideation to deployment. In-depth knowledge of software architecture, design patterns, and best practices. Excellent problem-solving, analytical, and decision-making skills. Outstanding communication and interpersonal skills to interact with cross-functional teams. Experience with budgeting and resource allocation for engineering projects. Proficiency in managing distributed teams (preferred). PMP certification is a plus. A passion for working with emerging technologies and driving innovation. Competitive salary and performance-based incentives. Remote-first work culture with flexible work arrangements. World-class learning opportunities with sponsored enrollments for online courses (Coursera, edX, etc.). Fun, collaborative, and innovative environment with regular team outings, quarterly parties, and annual offsites. International trip vouchers and company-sponsored asset purchase programs. Access to cutting-edge technology and the opportunity to influence the future of global logistics. Apply Today & Lead the Future of Logistics Tech If you re an engineering leader passionate about driving innovation, optimizing development processes, and delivering cutting-edge solutions in the logistics space, then Shipsy is the place for you. Qualification : Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred).

We re proud to offer an exceptional total rewards package, including bonuses, comprehensive healthcare, insurance benefits, retirement programs, wellness initiatives, and service and performance recognition awards. Plus, we offer various social and recreational activities tailored to each location. Job Description: Client Engineering Security Engineer The Client Engineering Security Engineer plays a crucial role in safeguarding our systems and infrastructure by identifying and addressing security vulnerabilities. This position requires a strong understanding of security best practices, identity and access management, and a proactive approach to threat detection and mitigation. Responsibilities: Security Management: Develop, implement, and oversee security policies and procedures for Azure, Entra ID, Office 365, and Active Directory. Incident Monitoring: Monitor security alerts and incidents to ensure quick identification and resolution. Security Assessments: Regularly conduct security assessments and audits to detect vulnerabilities and potential risks. Identity and Access Management: Manage identity solutions, implementing multi-factor authentication (MFA) and role-based access control (RBAC) to enforce least-privilege principles. Compliance and Governance: Ensure adherence to industry standards and maintain up-to-date documentation for security policies and incidents. Collaboration and Support: Collaborate with IT, DevOps, and other teams to embed security into development and deployment workflows. Additional Responsibilities: Provide guidance on complex issues, share expertise, and promote best practices across teams. What You ll Need: Experience: At least 8 years in IT, including 2+ years of infrastructure engineering or security experience with Office 365, Azure AD/Entra ID, and Active Directory. Education: Bachelor's degree in a technology-related field or equivalent work experience. Certifications: Expert-level certifications in relevant technology platforms are highly preferred. Technical Expertise: Experience in designing, implementing, supporting, and maintaining enterprise-scale IT solutions. Communication Skills: Excellent interpersonal, written, and verbal communication skills, with the ability to effectively present ideas both in-person and remotely. Problem-Solving: Strong troubleshooting and problem-solving skills, with a proactive and adaptable approach to a fast-paced environment. Health Benefits: Medical and prescription drug insurance Dental and vision insurance Critical illness, accident, and hospital indemnity insurance Personalized healthcare support, wellbeing program, and tobacco cessation program Financial Benefits: Health Savings Account (HSA) Flexible Spending Accounts (FSAs) 401(k) plan Employee Stock Purchase Plan (ESPP) Basic life and AD&D insurance Short-term disability insurance About Stryker: Stryker is a leading provider of innovative products and services in MedSurg, Neurotechnology, and Orthopaedics that help enhance patient and healthcare outcomes. With a global reach, Stryker impacts over 150 million patients annually. Employees in certain sales and field roles that require access to customer accounts may be required to obtain various vaccinations as part of their job responsibilities. Qualification : Bachelor's degree in a technology-related field or equivalent work experience.

Key Responsibilities: Responsible for design, development, testing, troubleshooting, measurement, optimization, and improvement of software, new products, and code libraries across platforms. Partners with cross-functional experts (Product Management, Sales, Design, etc) to determine customer-focused solutions. Leverage best practices, articulate ideas, & markets them across team and organization. Promotes a culture of continuous learning. Leads application/framework/service design efforts, optimizing for quality, testing, and scale. Communicates clearly with team and management to define & achieve goals. What you will need to succeed: B.S. in Computer Science or equivalent engineering degree 7+ years of experience designing and developing web or software application Proven expertise in designing, developing scalable, maintainable, performant, and resilient application. Proven expertise in Java, OOP Principals, clean Design, and Design patterns OR Expert understanding of JQuery, AngularJS, ReactJS, AmberJS and NodeJS Experience in designing and implementing micro-services and RESTful services Expertise with RDBMS (PostgreSQL, MySQL) and NoSQL Database ES, Cassandra, MongoDB. Working Experience with Spring Framework, Kafka, Hibernate, Maven, Ant, Restful Webservices Experience working in Scala or Python is plus Expertise in build management systems and Continuous Integration and Deployment methodologies (Jenkin, Spinnaker, Kubernetes etc) Working knowledge of AWS infrastructure EC2, Auto Scaling, RDS, ELB, S3, Kinesis Qualification : B.S. in Computer Science or equivalent engineering degree.

Java Developer - CorpTech Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium is a global financial technology and services company providing cloud-native software and services designed to revolutionize asset management operations. We help our clients power innovation, optimize workflows, and mitigate operational complexity. We are seeking a talented Java Developer to join our CorpTech team, focusing on Java development and full stack application development. The role involves designing and developing scalable backend systems while contributing to user-friendly front-end interfaces for enterprise-grade solutions. The ideal candidate should be a strong problem-solver, passionate about building robust applications, and skilled in both backend and frontend technologies. Key Responsibilities (Must Haves): Design, develop, and maintain Java-based backend services for internal applications. Develop scalable full stack applications, integrating front-end components with powerful backend services. Collaborate with cross-functional teams, including product managers and UX designers, to gather requirements and develop software solutions. Build responsive, performant, and visually appealing user interfaces using modern web frameworks. Ensure code quality, security, scalability, and maintainability. Participate in all phases of the software development lifecycle, including architecture, coding, testing, and deployment. Identify and troubleshoot production issues for seamless operational continuity. Qualifications: Bachelor s or master s degree in computer science, Engineering, or a related field. Deep expertise in Java, including concurrency, collections, streams, and JVM internals. Ability to write high-performance, scalable, and maintainable code. Strong knowledge of design patterns and SOLID principles, with the ability to apply them effectively. Extensive experience working with and improving large codebases, including code organization, dependency management, and long-term maintainability. Comfortable owning and refactoring legacy code. Proficient in debugging and performance optimization, including diagnosing memory leaks, concurrency issues, and inefficient queries. Experience with tools like JProfiler, YourKit, or VisualVM. Hands-on experience with databases and SQL (MSSQL), including query optimization, indexing strategies, and in-depth knowledge of ORMs. Proficiency in Spring Boot, Hibernate, and relational databases such as PostgreSQL or MySQL. Experience with front-end frameworks like React.js, Angular, or similar modern JavaScript frameworks. Familiarity with monitoring, logging, debugging, and profiling tools. Strong understanding of RESTful APIs and web services. Experience with database query analysis and fine-tuning. Proficiency with tools such as Git, Maven/Gradle, and CI/CD pipelines. Excellent debugging, problem-solving, and analytical skills. Preferred Skills: Experience with microservices architecture. Familiarity with cloud technologies (AWS, GCP, etc.). Knowledge of containerization tools (Docker, Kubernetes). Understanding of security principles in web applications. Arcesium and its affiliates do not discriminate in employment matters on the basis of race, color, religion, gender, gender identity, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics. Qualification : Bachelors or masters degree in computer science, Engineering, or a related field.

About dunnhumby dunnhumby is the global leader in Customer Data Science, helping businesses around the world thrive in today s data-driven economy. Guided by our Customer First philosophy, we enable businesses to grow by championing and advocating for their customers. With deep roots in retail one of the world s most competitive and data-rich industries dunnhumby s expertise now spans multiple sectors, empowering leading brands like Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro. Our diverse team of nearly 2,500 experts works from offices across Europe, Asia, Africa, and the Americas, driving transformative solutions for some of the most recognized brands globally. About the Role We are seeking an Engineering Manager who is passionate about platform engineering and ready to drive innovation. This is a fantastic opportunity to lead the design and development of a robust, scalable Application Development Platform, collaborating closely with application developers to equip them with the tools and services they need to excel. As part of the Platform Engineering Team, you will focus on creating a reliable and scalable platform using GCP and Azure, while developing critical common services. You ll implement tools like Terraform, ArgoCD, and Kubernetes to optimize the CI/CD pipeline, ensuring seamless, rapid, and reliable software releases. Additionally, you will implement monitoring and performance optimization strategies using tools such as Prometheus, Grafana, and New Relic, ensuring top-tier availability, reliability, and performance. Security will also be a core focus implementing best practices around network security, access controls, and data protection. This role provides the perfect blend of technical leadership, hands-on engineering, and innovation, staying at the forefront of emerging technologies and industry trends within DevOps and Platform Engineering. What You ll Do Technical Leadership & Delivery Lead the design, implementation, and maintenance of infrastructure and deployment pipelines for the platform and services. Develop and enhance our cloud infrastructure on GCP and Azure, leveraging Infrastructure as Code tools like Terraform and CloudFormation. Implement and manage containerized environments using Docker and Kubernetes. Build and optimize CI/CD pipelines using tools like Octopus, GitLab, and TeamCity. Oversee the development of common services to streamline and standardize development across teams. Monitoring & Performance Optimization Deploy and manage monitoring and visualization tools, including Prometheus, Grafana, and New Relic. Drive performance tuning and capacity planning to ensure smooth platform operations. Security & Compliance Define and enforce security best practices across the platform, from network security to access management and data protection. Lead initiatives to enhance the security posture of the platform, ensuring compliance with regulatory and internal requirements. Collaboration & Mentorship Work closely with application development teams to understand their needs and align platform capabilities with development workflows. Mentor and guide engineers, fostering a culture of continuous learning, collaboration, and technical excellence. Innovation & Continuous Improvement Stay ahead of industry trends and bring innovative tools and approaches into the team s practices. Advocate for automation and streamlined processes to enhance team productivity and platform reliability. What You ll Bring 10+ years of experience in platform engineering, infrastructure development, or DevOps, including experience in a leadership role. Strong expertise in cloud platforms especially GCP and Azure and experience building infrastructure using Terraform and/or CloudFormation. Hands-on experience with containerization using Docker, and managing production workloads in Kubernetes. Proficiency in at least two programming languages, such as Python and GoLang. Solid understanding of CI/CD tools such as Octopus, GitLab, or TeamCity. Familiarity with monitoring tools like Prometheus, Grafana, and New Relic. Proficiency in scripting languages such as Bash or PowerShell. Strong understanding of networking principles and security best practices. Proven leadership and team management skills, with the ability to mentor and guide a cross-functional team. Excellent communication and collaboration skills, capable of working across teams and presenting ideas clearly to both technical and non-technical stakeholders. Ability to thrive in a fast-paced, agile environment while maintaining focus on quality. Experience with GitOps methodologies and tools like ArgoCD is highly desirable. Prior experience in a team lead or engineering manager role is a strong plus. What You Can Expect from Us At dunnhumby, we believe in exceeding expectations yours and ours. You ll enjoy a competitive compensation package, along with benefits designed to support your health, well-being, and work-life balance. Some of what we offer includes: Flexible working hours and the freedom to shape your workday. Your birthday off, so you can celebrate you. Investment in cutting-edge technology to support your work. A nimble, fast-paced environment where you have the freedom to experiment, learn, and innovate. At dunnhumby, you ll join a team where curiosity, creativity, and collaboration thrive and where Customer First isn t just a mantra; it s our mission.

We are seeking a highly experienced Senior Snowflake Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions within Snowflake, ensuring they are efficient, secure, and scalable. Responsibilities Engage in Snowflake data modeling to create and maintain optimized models tailored for data ingestion and analytical needs Develop and sustain ETL pipelines to consolidate data from diverse sources into Snowflake while preserving data integrity Fine-tune the performance of Snowflake deployments, optimize storage usage, and manage data partitioning for prompt and reliable data access Establish strong data security measures, implement role-based access controls, and apply data masking techniques to uphold data governance standards Leverage tools like dbt and Apache Airflow for scheduling and automating data processes and pipeline surveillance Cooperate closely with cross-functional teams including data scientists and business analysts to solve intricate data issues and carry out effective troubleshooting Create detailed documentation and reports on data architectures, ETL processes, and system operations to facilitate clear communication and knowledge sharing across the organization Requirements 5-8 years of experience in a data engineering role Background in information warehousing with AWS or Azure, utilizing DBT, Snowflake Proficiency in Python programming, workflow management tools including Argo, Oozie, or Airflow Snowflake modeling fundamentals like roles, schema, and databases Competency in data vault modeling, designing, and developing data transformation pipelines using DBT We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of experience in a data engineering role

Job Title: Trainee Engineer Sales (ACR Equipment Mechanical) Location: Gurgaon Reporting To: Manager Experience: 0 to 1 Year Languages: English / Hindi Education: BE / Diploma in Mechanical Engineering Relevant Work Experience Experience in field sales of Kirloskar Refrigeration Compressors or similar industrial refrigeration compressors. Strong knowledge of industrial refrigeration compressor sales. Established relationships with industrial customers, especially in sectors like Dairy, Cold Storage, Seafood, and Chiller Plants. Sales experience with engineering products such as Ammonia Compressors is advantageous. Background in HVAC, Chillers, or industrial refrigeration is preferred. Must-Have Skills Strong communication and presentation skills. Ability to build customer rapport and support pre-sales activities. Effective team coordination skills. Verbal communication proficiency in local language. Analytical skills for market strategy assessment. Good to Have Skills Proficiency in MS Office. Additional computer skills, with SAP knowledge considered a plus. Job Description Manage field sales of Kirloskar Industrial Refrigeration Compressors. Responsible for order booking and payment collection. Maintain and build strong customer relationships. Oversee complete sales cycle including pre-sales, order acquisition, order execution, and payment collection. Opportunity to work with a reputed brand in industrial refrigeration. Hands-on experience in sales and customer relationship management. Career growth potential in the HVAC and refrigeration sector. Qualification : BE / Diploma in Mechanical Engineering

Job Title: Advance Engineer Vehicle Networks Location: Gurgaon Job Family: Research and Development Employment Type: Full-Time About CNH Industrial Innovation. Sustainability. Productivity. At CNH Industrial, we re breaking new ground to sustainably advance the vital work of farmers and builders worldwide. From alternative power solutions to precision productivity technology, our innovative products help feed and shelter a growing global population. Join our collaborative global team where your skills help drive customer success and innovation. Job Purpose As an Advance Engineer in Vehicle Networks, you will guide the team on technology application and standardization of technical processes. You will share product knowledge, keep updated on emerging technologies, and assist in implementing technical strategies. Mentoring team members on process adherence and tool usage, managing stakeholders, and actively participating in cross-functional meetings are key parts of this role. Taking ownership of your area of scope and handling complex tasks will distinguish you. Key Responsibilities Deliver network functional and diagnostic projects. Develop and maintain system architecture documentation for design reviews. Manage Symbol Libraries and maintain signal/message dictionaries. Ensure adherence to and actively drive industry standards (SAE, ISO). Support continuous development process improvements. Mentor and guide team members on tools, software, and processes. Experience & Skills Required 5 to 10 years experience in off-road machinery requirements, operations, and electronic specifications (for experienced profiles). Ability to work within an offshore team with an open and collaborative mindset. Agricultural or off-road machinery engineering background preferred. Strong knowledge of CAN networks, SAE / J1939 / ISO11783 standards. Proficient with tools such as Vector CANDB++ (Admin version), CANoe or CANalyzer, BUS Master. Ability to interpret specifications and test reports to address network issues. Understanding of ECU architectural designs. Preferred Qualifications Master s or Bachelor s degree in Electrical, Electronic, Mechatronic, or Telecommunication Engineering. Special interest in communication technologies (CAN, J1939) and engineering process support. Fluent in English. Dynamic international career opportunities. Inclusive, respectful, and collaborative work culture. Flexible work arrangements. Comprehensive benefits including savings & retirement plans, tuition reimbursement, parental leave, adoption assistance, fertility & family building support. Employee assistance programs. Charitable contribution matching and volunteer time off. Grow your career at CNH Industrial where innovation meets purpose. Qualification : Masters or Bachelors degree in Electrical, Electronic, Mechatronic, or Telecommunication Engineering

About dunnhumby dunnhumby is the global leader in Customer Data Science, empowering businesses to thrive in the modern data-driven economy by putting the Customer First. Our mission is to help businesses grow and reimagine themselves by becoming true champions for their customers. With deep expertise in retail, one of the world s most data-rich and competitive sectors, we enable businesses across industries to embrace a Customer First mindset. With nearly 2,500 experts across Europe, Asia, Africa, and the Americas, we partner with iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, and Metro, delivering transformative customer insights and data-driven strategies. About the Role We are looking for a talented Engineering Manager to lead a team of engineers focused on building products that empower Retailers to transform their Retail Media business, maximizing ad revenue and enabling massive scale. As Engineering Manager, you will play a pivotal role in designing and delivering high-quality .NET Core-based solutions. You will guide a team of engineers, contribute to system architecture, enforce engineering best practices, and drive innovation. Your technical expertise, leadership, and results-driven mindset will be critical to the success of our products. Key Responsibilities Leadership & Team Management Lead and manage a team of software engineers, fostering a culture of collaboration, growth, and continuous development. Conduct regular performance reviews and provide constructive feedback. Mentor and coach junior engineers, nurturing talent within the team. Balance delivery timelines with technical excellence. Technical Oversight & Delivery Collaborate with Product Managers and Architects to define technical roadmaps and align engineering efforts with product goals. Oversee the design, development, and delivery of solutions built on .NET Core within a microservices-based architecture. Implement and enforce best practices in coding, CI/CD pipelines, and DevOps processes. Ensure adherence to security, compliance, and quality standards throughout the SDLC. Process Improvement & Innovation Drive continuous improvement initiatives to enhance developer productivity, system performance, and engineering processes. Advocate for the adoption of modern tools, frameworks, and approaches to optimize delivery. Encourage a culture of experimentation and innovation, ensuring the team stays up to date with emerging technologies. Skills & Experience Required Technical Expertise Strong hands-on experience with C# and .NET Core. Deep understanding of design patterns, SOLID principles, and system design. Expertise in Relational Databases such as SQL and PostgreSQL. Experience with BigQuery, Redis, and ElasticSearch is a plus. Familiarity with microservices architecture and event-driven systems (e.g., RabbitMQ, Google Pub/Sub). Proficiency in containerization technologies like Docker and Kubernetes. Hands-on experience with DevOps tools (e.g., GitLab CI/CD) and practices. Strong understanding of cloud platforms, especially GCP (preferred) or Azure. Experience working with distributed systems, multi-tenant services, cloud-native applications, and Unix/Linux environments. Quality, Testing & Security Familiarity with the Testing Pyramid and relevant tools at each level. Hands-on experience with Code Quality and Secure Code Scan tools (e.g., SonarQube, Checkmarx, ESLint, Resharper, Trivy). Experience implementing observability using tools like NewRelic. Ways of Working Strong understanding of the software development lifecycle (SDLC) and Agile methodologies. Proven track record of delivering high-quality software on time. Exceptional communication, interpersonal, and leadership skills, with the ability to motivate and align teams. Experience in the AdTech or Retail domain is a plus. What You Can Expect from Us At dunnhumby, we go beyond expectations to provide a rewarding career experience: Competitive compensation and comprehensive benefits. Flexible working hours and your birthday off. Opportunities to work with cutting-edge technologies and drive real impact. A collaborative, innovative environment where you can experiment, learn, and grow. A balance of global scale and agility, giving you both freedom and responsibility.

Job Title: Project Planning & Scheduling Engineer At Jacobs, we are redefining the future by tackling the world's most complex challenges building sustainable cities, ensuring resilient environments, delivering mission-critical outcomes, driving operational advancements, enabling scientific discoveries, and revolutionizing manufacturing. We turn visionary ideas into reality, shaping a better world. Your Impact As a Project Planning & Scheduling Engineer, you will play a key role in project delivery, design management, and project coordination. You will be responsible for planning, scheduling, and monitoring projects across the process and industrial sectors, ensuring seamless execution from concept to commissioning. This role requires collaboration with commercial, project management, engineering, and technical teams to drive successful project outcomes. Key Responsibilities Develop and update project schedules covering engineering, procurement, and construction phases. Prepare deliverable schedules and progress tracking through S curves. Monitor project timelines, analyze critical activities, and generate reports such as: Project progress variance analysis Critical path analysis Planning and scheduling reports Ensure adherence to project timelines through effective monitoring and control mechanisms. Utilize Primavera P6 and MS Project to manage and track project progress. Apply knowledge of design, procurement, and construction/field services to optimize project execution. Work independently within a multidisciplinary team environment. (Preferred) Experience in Pro-Services Cost Control & Monitoring is an added advantage. What You ll Need Bachelor s degree in Engineering with 8 to 10 years of relevant experience. Proficiency in Primavera P6 and MS Project. Strong command of MS Office tools. (Preferred) Familiarity with EcoSys software. Experience in engineering consultancy firms is preferred. Qualification : Bachelors degree in Engineering with 8 to 10 years of relevant experience.

Job Description: Director of Engineering About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build and run applications anywhere on-premises or across multiple cloud providers. With a global presence and over 175,000 new developers signing up to use MongoDB every month, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview MongoDB is seeking a visionary and strategic Director of Engineering to establish and scale a new engineering organization in our Gurugram office. This role will focus on building a high-performing team dedicated to developing software that enables MongoDB to run seamlessly on any infrastructure at a global scale. Our software and services empower users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes. The primary objective is to enhance and expand our software for managing MongoDB clusters deployed in data centers or private cloud platforms. You will primarily work on Ops Manager and Cloud Manager products, serving enterprise users who deploy large-scale clusters and process massive amounts of data. Operating at the intersection of cutting-edge cloud technologies, distributed systems, and enterprise solutions, you will drive innovation and engineering excellence while delivering high-quality, secure software. This role is based in Gurugram as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: Expert knowledge of enterprise-grade software solutions, with a deep understanding of challenges and best practices in managing complex systems in hybrid cloud and on-prem environments. 10+ years of experience leading software engineering teams, including managing multiple layers of leadership and building teams across distributed locations. Proven track record of defining and executing strategic product visions, mobilizing teams for impactful outcomes, and demonstrating strong ownership and accountability. Experience in building, evolving, and scaling enterprise or B2B software products, particularly in infrastructure management, distributed systems, or database operations, with a focus on performance, security, and reliability. Strong cloud-native expertise, including proficiency with Kubernetes, container orchestration, and modern DevOps practices, to design and deliver scalable and secure solutions. Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences, including global stakeholders and non-technical decision-makers. Commitment to fostering an inclusive and collaborative team environment, mentoring future leaders, and driving organizational growth and success. Proven ability to influence across the organization and collaborate with cross-functional teams to align engineering efforts with business priorities. Experience engaging directly with customers to understand their needs, gather feedback, and translate insights into actionable product improvements. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter. Join us at MongoDB and be part of a team driving innovation in the data space!

Position: Product Owner - Core Analytics Solutions (CAS) Job Overview: At BlackRock, technology and innovation are central to our mission of delivering world-class financial solutions. As part of Aladdin Financial Engineering (AFE), the Core Analytics Solutions (CAS) team is responsible for delivering analytical capabilities that drive better portfolio decisions. CAS works closely with investment teams and clients, transforming data into actionable insights and delivering solutions across asset classes and client segments. About Aladdin Financial Engineering (AFE): Join over 400 modelers and technologists in AFE within BlackRock Solutions. AFE is responsible for the research, development, and analytics production of Aladdin s financial models. These models span a wide range of financial products and provide insights to portfolio and risk management professionals. About Core Analytics Solutions (CAS): The CAS team within AFE creates and delivers Aladdin s analytical capabilities, ensuring clients can make informed portfolio decisions and achieve their financial goals. Our team is known for problem-solving, innovation, and delivering scalable solutions using Aladdin s global investment platform. Role Description: As a Product Owner with CAS, you will focus on portfolio risk methodologies like VaR and Stress Testing. You will work with modelers and collaborate with product managers, engineers, and data teams to deliver next-generation risk models. This role requires a blend of subject matter expertise, analytical skills, and leadership in driving product initiatives using agile frameworks. Responsibilities: Deliver next-generation risk models for portfolio risk methodologies such as Ex-ante risk models, Historical VaR, Monte Carlo VaR, Stress Testing, and factor risk models. Drive agile framework implementation to ensure predictability and transparency across initiatives. Work closely with stakeholders to define and articulate product requirements, ensuring alignment with business needs. Perform independent analytical validations and present results to stakeholders. Influence the analytics roadmap by understanding rapidly evolving markets and stakeholder needs. Automate processes to increase efficiency and throughput. Present models to clients, address concerns, and build trust in BlackRock s solutions. Collaborate with technology and analytics teams to build scalable, customized solutions using Aladdin APIs. Define processes for quality control and ensure the robustness and reliability of Aladdin s analytics models. Develop and maintain documentation for analytical models and processes. Mentor junior analysts and help them build expertise in the field. Experience/Qualifications/Skills: 3-6 years of experience in developing, deploying, or using financial risk models. Deep understanding of financial models and risk methodologies, including factor models. Experience with APAC markets is a plus. Proven track record of leading cross-functional initiatives as an agile product owner. Experience in finance, econometrics, statistical analysis, or advanced mathematics. Experience with technical tools like Linux, SQL, and scripting platforms. Programming skills (Python, advanced Excel) are a plus. Knowledge of financial risk management certifications (CFA, FRM) is a plus. Excellent quantitative, analytical, communication, and presentation skills. Ability to collaborate effectively with both technical and non-technical stakeholders. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model fosters collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. We invest in our employees to create a supportive environment where they can thrive professionally and personally. We offer benefits and development opportunities to support our employees' growth. Qualification : Engineering, Finance, Mathematics, Business Management or some other quantitative field of study. Advanced degree preferred. Bachelors degree required.

Position: Advanced Data Analytics - Single Security (Credit Focus) Job Overview: At BlackRock, technology and innovation are essential to delivering world-class financial solutions. The Advanced Data Analytics team within Aladdin Financial Engineering (AFE) is focused on developing the next generation of data content and governance solutions for single security analysis, specifically in the Credit space. This role offers the opportunity to work with cutting-edge technologies to deliver impactful analytics in Mortgage, Structured & Credit Products. About Aladdin Financial Engineering (AFE): Join a team of over 300 modelers and technologists in AFE within BlackRock Solutions, responsible for research and development of Aladdin s financial models. AFE spans a wide range of financial products and provides investment insights to portfolio and risk management professionals. The models developed and supported by AFE cover equities, fixed income, commodities, derivatives, and private markets. Role Description: The Advanced Data Analytics team within AFE Single Security is responsible for building and maintaining data content in the Credit space. The team uses emerging technologies and statistical/mathematical methodologies to create predictive models and classification solutions. As a member of this team, you will focus on: Building and enhancing Credit Derived Data Content. Ensuring robust Model & Data Governance practices. Developing and maintaining Credit Model & Analytics solutions. Experience/Qualifications/Skills: Experience with Scala programming. Knowledge of ETL, data curation, and analytical jobs using distributed computing frameworks like Spark. Experience working with large enterprise databases such as Snowflake, Cassandra, and cloud-managed services like Dataproc and Databricks. Familiarity with financial instruments such as Corporate Bonds and Derivatives. Knowledge of regression methodologies and building tools for Data Governance. Python knowledge is a plus. Qualifications: Bachelor s or Master s degree in Computer Science, Math, Economics, or a related field. 3-6 years of relevant experience in data analytics and financial products. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model enables a culture of collaboration while offering flexibility. Employees are expected to work at least 4 days in the office per week, with the option to work from home 1 day a week. Certain business groups may require more time in the office due to their roles. About BlackRock: BlackRock is committed to helping people experience financial well-being. Our clients rely on our investment expertise to save for retirement, pay for education, and fund other life goals. By investing in our employees, we create a supportive environment where everyone can thrive professionally and personally, with ample opportunities for growth and development. Qualification : Bachelors/master's in computer science with a majorin Math, Econ, or related field

Location: NCR: Gurgaon Experience: 12+ years in leadership/management roles, preferably in the switchgear industry. Qualifications: Engineering graduate (Electrical, Mechanical, or related field) About Schneider Electric: Schneider Electric is a global leader in energy management and industrial automation, helping organizations and industries optimize energy use and reduce their environmental impact. We provide comprehensive solutions for energy distribution, automation, and management, focusing on sustainability, efficiency, and innovation. Role Overview: The Engineering Manager Modernization Services will be pivotal in driving growth within the Services business by delivering engineering solutions focused on energy management and industrial automation. This role specifically covers Modernization & Retrofit projects aimed at augmenting electrical power systems for Smart Industries, Data Centers, Intelligent Buildings, Utilities, Substations, and Intuitive Homes. You will lead a small, specialized team to deliver complete design and engineering solutions for augmenting existing MV/LV distribution networks, including Transformers, Panels, Circuit Breakers, Power & Control Cables, Protection Relays, and more. Key Responsibilities: Design & Engineering Leadership: Lead the design of electrical distribution networks, including HV/LV switchgears, UPS, transformers, busways, and control systems. Feasibility & Cost Estimation: Conduct feasibility studies and cost estimations, providing optimized solutions for bidding. Technical Expertise: Participate as a Subject Matter Expert (SME) in key decisions, including Go-No-Go calls for projects. Project Improvement: Focus on improving project profitability through value engineering, change orders, and scope adjustments. Cross-Functional Collaboration: Work closely with manufacturing teams, project management, and stakeholders to ensure project delivery within timelines and budgets. Network Studies & Equipment Sizing: Lead fault level studies, load flow, arc flash, protection coordination, and equipment sizing for network design. Digitization Initiatives: Spearhead Schneider Electric's digitalization efforts, specifying and enabling tools like EcoStruxure Asset Advisor and EcoStruxure Transformer Expert. Design Documentation: Create and release detailed engineering drawings (SLD, GA, schematic) using AutoCAD/ProE. Customer Engagement: Address customer queries, non-compliance issues, and secure on-time engineering approvals. Team Leadership & Motivation: Lead, guide, and motivate a small team of electrical and mechanical engineers to deliver cost-effective retrofit solutions. Risk Management & Cost Control: Work with cross-functional teams to manage risks, profitability, and resource planning effectively. Process Improvement: Implement best practices using lean tools like Six Sigma, 5-S, and Lean Manufacturing. Skills Required: Engineering & Technical Expertise: Proficiency in power systems design, distribution transformers, UPS, DG sets, MV/LV panels, circuit breakers, protection relays, PLCs, and drives. Design Tools Proficiency: Experience with design tools such as AutoCAD, ProE, and eTAP. Standards Knowledge: Strong understanding of IEC & IEEE standards and specifications. Project Management: PMP certification or similar experience preferred. Proficiency in SAP (PS module), MS Project, and Gantt charts. Leadership & Team Building: Proven ability to lead teams, foster collaboration, and make fast, result-oriented decisions. Financial Acumen: Familiarity with budgeting, expense management, and financial practices. Risk Management: Ability to assess and mitigate project risks and manage stakeholder expectations. Qualifications & Experience: Experience: 12+ years of progressive experience in a leadership role in the switchgear or related manufacturing industry. Education: Engineering degree (Electrical, Mechanical, or related discipline) with a solid understanding of budgeting and financial practices. Tools & Technologies: Proficient with design tools (AutoCAD, Pro-E, eTAP) and project management tools (SAP, MS Project). Collaboration Areas: Engineering-to-order manufacturing Project management teams Vendor management, purchasing, and cost control Site execution and field teams Sales & Tendering teams Qualification : Engineering degree (Electrical, Mechanical, or related discipline) with a solid understanding of budgeting and financial practices.

The Team: The OSTTRA Technology team comprises professionals specializing in Capital Markets Technology, building, supporting, and securing applications that power our network. The technology landscape includes high-performance, high-volume applications, leveraging contemporary microservices and cloud-based architectures. The Impact: As a member of the OSTTRA Technology team, you will play a critical role in designing, building, and maintaining platforms that process over 100 million messages daily. Your work supports the automated trade processing across global capital markets, ensuring efficient settlement and compliance with regulatory requirements. What s in it for You: This role offers an opportunity to work with a highly motivated and dynamic team in Gurgaon, collaborating with colleagues across multiple global regions. You will have the chance to leverage your 12-15 years of experience in platform engineering and help shape the future of our expanding portfolio of Financial Services clients. Key Responsibilities: Platform Architecture: Design and architect scalable, resilient, and high-performance platform infrastructure for financial services. Team Leadership: Lead, mentor, and guide a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement. Agile Project Delivery: Implement Agile methodologies (Scrum, Kanban) for efficient project delivery and task management. Automation & Optimization: Implement automation tools and scripts (e.g., Terraform, Ansible) to streamline infrastructure provisioning, deployment processes, and optimize cloud resource utilization. Security & Compliance: Enforce security best practices, conduct security audits, and ensure compliance with industry standards. Performance Optimization: Monitor platform performance, identify bottlenecks, and implement optimization techniques for better scalability and response times. Cloud Integration: Leverage cloud platforms (AWS, Azure, GCP) for scalable solutions and cost-efficiency. What We re Looking For: Experience: 15+ years of platform engineering experience, preferably in the Fintech industry. Cloud Expertise: Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Automation Skills: Proficiency with automation tools like Terraform, Ansible, and CI/CD pipelines (Jenkins, CircleCI). Agile Expertise: Deep understanding of Agile methodologies (Scrum, Kanban) with hands-on experience in Agile project delivery. Security & Compliance: Expertise in implementing security best practices and ensuring platform compliance. Additional Skills: Experience with serverless computing, microservices architecture, data engineering, and data pipelines. Cloud and Agile certifications (e.g., AWS, Azure, CSM, PSM) are preferred. As part of OSTTRA, you will be at the forefront of driving post-trade innovation and efficiency within the global financial markets. This is an excellent opportunity to contribute to a dynamic, evolving organization and work on cutting-edge platform technologies. Qualification : Proficiency in infrastructure automation tools (e.g., Terraform, Ansible).

Job Description Overview: This description outlines the general nature and level of work within DXC Technology, however, it is not an exhaustive list of responsibilities. The company fosters a dynamic work environment where roles can evolve and adapt based on project requirements, client needs, and organizational growth. Key Responsibilities Varied Roles: Work within an ever-evolving IT landscape, contributing to multiple projects and technologies. Client Engagement: Serve both public and private sector clients, addressing unique technological challenges and creating innovative solutions. Collaboration: Collaborate with teams and partners across multiple geographies to drive the successful delivery of IT services and solutions. Adaptability: Respond to dynamic project requirements, technology trends, and customer demands, with flexibility in role responsibilities. Skills & Qualifications Experience: Strong background in IT services, consulting, and client engagement. Innovation: Ability to drive innovation through new IT solutions that support customers evolving needs. Global Perspective: Experience working with international clients and teams, contributing to globally integrated solutions. Diverse Skill Set: Depending on the role, proficiency in various IT service areas such as cloud services, cybersecurity, data analytics, and digital transformation may be necessary. Please note that the job responsibilities and required skills will vary depending on the specific role at DXC Technology. This general overview serves as an introduction to the type of work DXC employees engage in across the organization. Why Join DXC Technology? At DXC Technology, we value technology independence, the ability to foster global collaboration, and a commitment to driving innovation. With opportunities to work with leading technologies and clients around the world, you ll play an important role in helping shape the future of IT services. DXC Technology offers dynamic and growth-oriented roles that can be adapted to meet both your professional development and the company s strategic objectives.