Cloud AI Jobs in Mumbai

Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field

Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus

Engineer Information Technology (AIOps & Automation Engineer) Location: Mumbai Experience: 1 3 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is at the forefront of reimagining global connectivity through cutting-edge innovation. Our services power Cloud, IoT, AI, Collaboration, Security, and Network Solutions that redefine the digital experiences of businesses across industries. With a global footprint and a focus on driving intelligent transformation, we are building the New World of Communications. Job Profile: AIOps & Automation Engineer As an AIOps & Automation Engineer, you will play a critical role in transforming IT operations through automation, infrastructure scripting, and deployment of AI/ML-powered solutions. This is an individual contributor position with scope to lead small-scale operational projects and optimize system performance across platforms. Key Responsibilities Design, build, and manage infrastructure automation using Python, PowerShell, Bash, and Ansible. Deploy and maintain AIOps tools and platforms for proactive incident management and operational efficiency. Develop and manage CI/CD pipelines, supporting continuous integration and deployment. Implement and manage monitoring systems, such as Zabbix and other NMS tools. Maintain detailed infrastructure documentation including LLD/HLD. Assist in the design, security, and handover of infrastructure to operations teams. Independently resolve complex IT issues and contribute to operational improvements. Stay current with advancements in AI/ML, automation, and orchestration technologies. Technical Skill Requirements Proficiency in Python, PowerShell, and Bash scripting. Experience with Ansible, AWX, or similar automation tools. Familiarity with Zabbix or other network monitoring systems. Understanding of AI/ML concepts and practical exposure to related tools. Working knowledge of AIOps platforms and deployment practices. Hands-on with Linux, Windows Server, and basic Kubernetes. Experience in designing, documenting, and implementing IT infrastructure. Familiarity with CI/CD tools and pipeline methodologies. Certifications in relevant technologies are an added advantage. Qualifications B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field. 1 3 years of experience in IT Operations, with exposure to automation and AIOps. Strong analytical and problem-solving skills. Excellent documentation and communication abilities. What You ll Bring Passion for automation and digital transformation in IT infrastructure. Ability to independently manage tasks, take initiative, and troubleshoot complex issues. Flexibility to adapt and contribute in a fast-paced, evolving technical environment. A collaborative mindset with a focus on delivering reliable, scalable solutions. Be part of a future-forward tech ecosystem in one of India s most respected technology organizations. Work on next-generation automation and AIOps platforms shaping global IT operations. Collaborate with industry leaders and expand your skills in a learning-driven environment. Qualification : B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.

Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.

BFSI Enterprise Director Location: Mumbai, India As part of our rapidly expanding Enterprise business, we are looking for a BFSI Leader to scale the business in the India region. You will lead a team of professionals and be responsible for multiplying consumption, new customer acquisition, and developing the ecosystem. You will inherit a team of seasoned campaigners, passionate about building a data ecosystem in the India region, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Head of Enterprise business, India Region. The Impact You Will Have: Scale a team of motivated Enterprise Account Executives to increase growth in the BFSI domain. Inspire a culture of teamwork, leading with value, and achieving desired customer outcomes. Develop trust-based relationships with customers and partners to ensure long-term success. Encourage learning and ongoing understanding of technical product details and our future product roadmap. Lead our BFSI Enterprise growth plans, ensure forecast accuracy, and drive a predictable, high-growth business. What We Look For: Desire to build a collaborative, inspired team culture. Alignment with our core values: customer obsession, teamwork, ownership, and data-driven decision making. 15+ years of experience building a high-growth sales team serving BFSI customers. Experience in the Big Data, Cloud, or SaaS Sales industry. A history of exceeding sales quotas in similar high-growth Enterprise software companies. Understanding of value selling and structured methodologies (e.g., MEDDPICC, Challenger, Command of Message). Knowledge of developing the partner ecosystem to help grow strategic enterprise territories. Success in implementing strategies for usage and booking-based sales revenue models. Enterprise BFSI experience coupled with Cloud Data & AI experience is highly desirable. About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Position: Enterprise Key Account Manager Location: Mumbai (Andheri Saki Naka) Industry: IT Relevant Experience: Minimum 7-10 Years (at least 3+ years in relevant experience) Employment Type: Full-time Work Environment: Hybrid (office and field sales) Travel Requirement: Estimated 60-80% of the time About Swan Solutions: Swan Solutions is a rapidly growing IT infrastructure services provider, generating over 500 Crore in revenue. Headquartered in Mumbai, Swan has been successfully serving the IT hardware and networking needs of BFSI, PSU, SMB, and corporate sectors for over 33 years. The company has forged partnerships with global technology leaders like HP, Cisco, Microsoft, Ice Warp, and Fluid AI. Our major clients include SBI, SBI MF, ICICI, and more. At Swan, we embrace innovation, celebrate creativity, and encourage a collaborative environment where every idea has the potential to drive change. We are a team that is accountable, vibrant, independent, and always willing to learn and grow together. Job Overview: We are looking for a dynamic and results-driven Enterprise Key Account Manager to join our team. This role will involve managing strategic sales initiatives, building strong relationships with enterprise clients, and driving the company s growth in the competitive IT solutions and services market. Key Responsibilities: Develop and implement comprehensive sales strategies to achieve monthly, quarterly, and annual revenue targets. Create and maintain sales forecasts, pipeline reports, and performance dashboards. Identify and pursue new business opportunities in the IT solutions and services sector. Build and maintain strong relationships with existing and potential enterprise clients. Collaborate with marketing, product, and delivery teams to align sales efforts with company objectives. Analyze market trends, competitive landscape, and customer needs to inform sales strategies. Manage and optimize the sales process, including lead generation, qualification, and conversion. Represent the company at industry conferences, networking events, and client meetings. Qualifications Required: Bachelor s degree in Business Administration, Marketing, Computer Science, or a related field. 7-10 years of progressive sales experience in IT solutions, services, or technology sectors. Proven track record of consistently meeting or exceeding sales targets. Strong understanding of enterprise IT solutions, cloud services, and digital transformation technologies. Excellent communication and interpersonal skills in English and Hindi. Proficiency in CRM tools (e.g., Salesforce, HubSpot) and sales management software. Preferred Qualifications: Experience in B2B technology sales in the Indian market. Knowledge of emerging technologies like AI, cloud computing, and cybersecurity. Industry certifications in sales management or IT solutions. Key Skills: Strategic sales planning Client relationship management Negotiation and closing techniques Data-driven decision-making Solution-selling approach Cross-functional collaboration Compensation & Benefits: Variable Pay Components: Performance Bonus ranging from 100% to 400% of Fixed CTC, based on team sales performance. Opportunity to work in a dynamic and rapidly growing organization. Be a part of an innovative and vibrant culture that fosters creativity and teamwork. Competitive compensation structure with performance-based bonuses. Work in a hybrid environment with ample opportunities for travel and client interaction. If you re passionate about IT sales and eager to grow with a leading organization, we d love to hear from you! Qualification : Bachelors degree in Business Administration, Marketing, Computer Science, or a related field.

Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate

Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate

Job Title: Tech Lead (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 7 to 10 years Openings: 2 What You Will Do: Lead the design and development of scalable, high-performance AI/ML solutions. Define and implement AI/ML architecture and best practices across the team. Guide and mentor the AI/ML team in model development, optimization, and deployment. Work with large datasets to preprocess, analyze, and extract meaningful insights. Develop and optimize deep learning, NLP, and computer vision models. Architect end-to-end AI/ML pipelines, including data collection, model training, and deployment. Implement MLOps practices for continuous integration, deployment, and monitoring of ML models. Leverage cloud platforms (AWS, Azure, GCP) to deliver scalable AI/ML solutions. Collaborate with cross-functional teams to understand business challenges and deliver impactful AI-driven solutions. Stay abreast of the latest advancements in AI/ML and drive innovation within the team. What Qualifications You Will Need: Experience: 7-10 years in AI/ML development, with hands-on experience in designing and architecting AI/ML solutions. Technical Skills: Strong programming skills in Python. Expertise in deep learning, NLP, computer vision, and recommendation systems. Strong knowledge of data engineering, feature engineering, and automation of data pipelines. Experience in deploying AI/ML models on cloud platforms (AWS, Azure, GCP). Familiarity with big data technologies (Spark, Hadoop) and database management (SQL, NoSQL). Proven ability to build and manage end-to-end production-grade AI services. Strong understanding of AI systems architecture. Ownership of solution quality, including functional, technical, performance, and compliance aspects. Hands-on experience with MLOps practices for continuous integration and deployment of ML models. Focus on leveraging AI to improve business outcomes. Deep interest in staying updated with the latest trends in the AI/ML field. Leadership mindset with the ability to guide and mentor developers. Experience with data pre-processing for structured and unstructured data (text, audio, video). Familiarity with document processing, Vision AI, and Audio AI. Expertise in building AI agentic systems using Langchain and Rasa. Experience with AI chatbots and voicebots. Familiarity with DevOps and CI/CD pipelines on cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving skills. Qualification : Any Graduate / Post Graduate

Job Description: Django Developer Description: The primary role is to design, develop, and maintain web applications using the Django framework. This involves writing server-side logic, managing databases, and ensuring application security and scalability. The developer will integrate their work for seamless functionality by collaborating with a cross-functional team and contributing to sprint ceremonies. Writing clean, efficient, reusable, and testable code that adheres to Python standards and best practices. Troubleshooting and debugging applications. Maintaining and updating existing source code to improve functionality and security. Cloud native application development and deployment mindset. Technical Skills and Qualification: Minimum of 5-8 years experience with development using Python Django Rest Framework. Strong knowledge and experience of RESTful APIs and services development. Strong understanding of front-end technologies (HTML, CSS, JavaScript). Strong knowledge of relational and non-SQL databases. Strong Experience with PostgreSQL or similar. Strong knowledge of Software Development Lifecycle. Design and develop high-quality web applications. Maintain and optimize existing codebases. Ensure the security and scalability of applications. Good understanding of development processes. Experience with Git repository and branching concepts. Experience of containerization development and deployment with Docker or similar. Knowledge and experience with cloud storage. Optional Skills: Knowledge of Artificial Intelligence, Generative AI, and LLM. Knowledge of Svelte - Front end framework. Knowledge of GCP deployment will be an advantage. Knowledge of Spanner embeddings will be an advantage. Key Programming Skillset: Development language: Python Framework: Django / Flask Qualifications: Bachelor s degree in computer science or engineering or similar preferred. Establish and maintain effective working relationships with peers, co-workers, and managers. Perform a wide variety of duties and responsibilities with accuracy and speed under the pressure of time-sensitive deadlines. Excellent interpersonal, communication, and organizational skills are essential to perform the tasks. Capable of reading existing code to debug or enhance. Qualification : Bachelors degree in computer science or engineering or similar preferred.

Inside Sales Representative/Officer About the Company: Sequretek is a global cybersecurity company, which offers end-to-end security in the areas of enterprise threat monitoring, incident response (Percept XDR), device security (Percept EDR), identity & access governance (Percept IGA) through their own AI driven Percept Cloud Security Platform (PCSP). Vision: To simplify security by consolidating the technology landscape Mission: We empower your growth (customer s growth) without fear as your (customer s) trusted partner by simplifying security Sequretek, started in 2013, has its offices across US and India with over 400 cybersecurity professionals. More than 25% of our employees are in R&D. We do business across the world with our partners. We have been growing with a CAGR of over 50% Y-O-Y and have close to 120 customers worldwide. Our products are covered by technology influencers like Gartner, ICSA Labs, NASSCOM, and have strategic partnerships with Intel, Ingram Micro and FIS. They give us market access in India and US. The company has received recognitions from several government bodies, startup entities as well as media houses over these past several years. Reporting to: Chief of Marketing and Head of Global Channels Open Positions: Inside Sales Representative Inside Sales Representative roles and responsibilities Communicating with prospective buyers in enterprises (B2B), through emails, LinkedIn and Twitter. Making outbound calls to prospective buyers in enterprises (B2B) CISO/CIO/CTO/IT Heads/Security Heads. Fixing physical (1-on-1) or virtual meetings for Sales team members with targeted customers. Calendaring the appointment through email/whatsapp and uploading the details on CRM on a daily basis. Ensuring that the meetings take place by reminding the customer / RSVP. Post the meeting, update the CRM (lead/no lead) after speaking with the salesperson. Send a Thank You email to the customer with the sales collateral and details of the salesperson. Attend daily cadence, and weekly reviews with Sales and Marketing leaders. Creating and maintaining customer database in the CRM with activity sheet for each account updated on a daily basis. RSVP Management for webinars and events run by Marketing team. Ensuring that the targets set for number of calls, meetings fixed, leads generated are met / exceeded. Inside Sales Representative/Officer requirements and qualifications Minimum of a Degree. Minimum of 2 years of experience in a similar role in B2B enterprises (preferably in IT/cybersecurity) for Indian markets. Proficiency in Email, MS Office and CRM software. Excellent verbal and written communication skills in English is Mandatory. Candidates with Hindi and other regional languages (Marathi, and South Indian) are preferable. Strong listening skills. Strong organizational and presentation skills. Strong tele-sales and cold calling skills. Ability to work well in a fast-paced environment. Excellent customer relationship skills.

Job Title: Azure Kubernetes Service (AKS) Engineer Experience: 6 to 9 years Location: Mumbai About Capgemini: Choosing Capgemini means joining a company where you can shape your career, collaborate with a global community, and contribute to innovative solutions. We empower our teams to unlock the value of technology, creating a more sustainable and inclusive world. Role Overview: We are looking for an experienced Azure Kubernetes Service (AKS) Engineer to design, deploy, and optimize Kubernetes-based solutions on Azure Cloud. The ideal candidate will have a strong background in containerization, cloud infrastructure, DevOps practices, and automation. Primary Responsibilities: Azure Kubernetes Service (AKS) & Containerization: Design, deploy, and manage Azure Kubernetes Service (AKS) clusters. Implement best practices for container orchestration and microservices architecture. Work with Docker to containerize applications efficiently. Cloud & Infrastructure as Code (IaC): Manage Azure cloud resources using Azure Resource Manager (ARM), Terraform, and Bicep. Optimize Azure environments for performance, security, and scalability. Automate infrastructure provisioning and deployment using CI/CD pipelines. DevOps & CI/CD: Implement CI/CD pipelines using Jenkins, GitLab CI, or Azure DevOps. Manage application releases and deployments with Helm charts. Improve system reliability, scalability, and performance through automation. Monitoring & Security: Configure and maintain monitoring and logging tools such as Prometheus, Grafana, and Azure Monitor. Implement networking, authentication, and security best practices in AKS and Azure environments. Troubleshoot and debug AKS, Kubernetes, and containerized applications. Secondary Skills: Experience with Helm for managing Kubernetes packages. Knowledge of Agile methodologies and DevOps best practices. Capgemini is a global leader in technology and business transformation, with over 340,000 professionals across 50+ countries. We deliver end-to-end solutions powered by AI, cloud, and data, helping clients accelerate digital and sustainable innovation. With a 55+ year legacy, we are trusted by global enterprises to drive meaningful impact. Join us and be a part of an inclusive, collaborative, and innovative team!

About the job As an AI Sales Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will possess the necessary promoting skills to effectively build relationships with both Cloud Field Sales Representatives (FSRs), Customer Engineers (CEs) as well as new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud Platform (GCP) Sales teams to grow their AI businesses and drive overall value for GCP. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts. Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory s business. Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience. Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market. Work with multiple customers and opportunities simultaneously, understanding each customer s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies. Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in promoting IT business solutions and executing a territory business strategy. Experience partnering with technical staff to build business cases and implementation plans. Experience identifying and driving use cases to solve customer problems. Preferred qualifications: Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors. Experience with promoting the AI technology stack. Experience working with product teams and an understanding of how to embed our technology into their product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.

about the role Cloud Engineers with experience in managing, planning, architecting, monitoring, and automating large scale deployments to Public Cloud.you will be part of a team of talented engineers to solve some of the most complex and exciting challenges faced in IT Automation and Hybrid Cloud Deployments. key responsibilities Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies Design, deploy and maintain Cloud infrastructure for Clients Domestic & International Develop tools and automation to make platform operations more efficient, reliable and reproducible Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners Take initiatives to lead, drive and solve during challenging scenarios preferred qualifications 1-3 years experience in Cloud Infrastructure and Operations domains Experience with Linux systems and/OR Windows servers Specialize in one or two cloud deployment platforms: AWS, GCP, Azure Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine) Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net) Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios Logging and Monitoring tools (ELK, Stackdriver, CloudWatch) DevOps Technologies Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos) Deep experience in customer facing roles with a proven track record of effective verbal and written communications Dependable and good team player Desire to learn and work with new technologies Automation in your blood

about the role Data Engineer identifies the business problem and translates these to data services and engineering outcomes. You will deliver data solutions that empower better decision making and flexibility of your solution that scales to respond to broader business questions. key responsibilities As a Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Think big! and drive the strategy for better data quality for the customers Collaborate with many teams - engineering and business, to build better data products preferred qualifications Over 1-2 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Pig, Presto) Data-pipeline & schedular tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Good communication skills Experience in working independently and strong analytical skills Dependable and good team player Desire to learn and work with new technologies Automation in your blood

About Salesforce We are Salesforce, the world s #1 Customer Relationship Management (CRM) platform, driving business success through AI, Data, and CRM solutions. Our core values inspire us to help businesses across industries connect with customers in new, impactful ways. As a Trailblazer at Salesforce, you ll chart your own career path, drive your performance, and improve the world of business. If you believe in businesses doing good and doing well, you ve come to the right place. Position Overview As a Cloud Account Executive within the Slack team, your focus will be on driving workplace productivity and communications solutions for enterprises. You ll lead the strategy for Slack sales within your market segment, drive revenue growth, and expand customer adoption. Your expertise will help customers understand the value of Slack and Salesforce solutions, while aligning those capabilities with their business objectives. Your Impact Customer Relationship Building: Establish and maintain key relationships with current and prospective customers. Strategic Sales: Formulate and execute sales strategies to meet the unique challenges and goals of your customers. Revenue Growth: Drive demand generation within the current customer base and identify new opportunities through prospecting. Collaborative Work: Partner with existing account owners and cross-functional teams to execute Slack sales initiatives. Trusted Advisor: Serve as an expert in both business and technology, guiding customers on how Slack can accelerate their business transformation. Business Evangelism: Articulate the ROI, business value, and time-to-value of the Slack solution to executive stakeholders. Key Responsibilities Account Management: Develop and nurture relationships with key stakeholders, ensuring customer satisfaction and long-term success. Strategic Planning: Develop and implement an account strategy aligned with the customer s business goals. Internal Collaboration: Work closely with cross-functional teams to ensure the successful execution of the account strategy. Sales Alignment: Coordinate efforts with Prime and Cloud sales resources to ensure strategic sales alignment. Sales Growth: Drive growth within your assigned accounts through both existing relationships and new opportunities. Salesforce Evangelism: Share the Salesforce value proposition to both new and existing customers. What You Bring Proven Sales Experience: Successful track record of driving sales growth and cultivating long-term customer relationships. Cloud & SaaS Expertise: Strong understanding of cloud solutions and workplace productivity tools, particularly Slack. Strategic Mindset: Ability to align customer business goals with solutions, focusing on long-term success. Collaborative Approach: Ability to work effectively with cross-functional teams and internal stakeholders. Consultative Selling: Expertise in leading high-level conversations with customers about business value and technology adoption.

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) are tasked with cultivating and advancing the AWS Partner Network (APN) within specific technology domains and industries, helping to bring AWS solutions to customers. As part of our rapidly expanding partner ecosystem, we are seeking a driven and technically proficient individual to enhance our network of AWS partners. These partners provide consulting services and solutions, assisting clients with cloud migration, application modernization, data and analytics, AI/ML, and the adoption of leading digital technologies. In this role, you will collaborate across the AWS organization to build and manage high-value partnerships, supporting our partner community s growth and ensuring alignment with AWS solutions. You will work closely with our partners to drive revenue growth, business development, and strategic initiatives. Key Responsibilities: Strategic Leadership: Develop and lead joint business plans with Global Systems Integrators (SIs) to drive partner revenue and AWS solution sales. Performance Tracking: Conduct regular business reviews to assess partner performance, ensuring alignment with revenue, pipeline, and competency objectives. Executive Relationship Management: Build and maintain strong relationships with senior executives at partner organizations to ensure continued engagement. Cross-functional Collaboration: Work within AWS to secure alignment and resources for partner development initiatives, driving mutual success. Pipeline & Opportunity Management: Set and track partner pipeline and opportunity registration targets, performing regular pipeline reviews to identify and capitalize on growth opportunities. Marketing & Sales Strategy: Plan and execute joint marketing campaigns and sales incentives aimed at accelerating partner solution sales. Internal Advocacy: Promote partner solutions within AWS through resources such as solution showcases and internal communications. Operational Oversight: Define and manage key partner operations, including opportunity registration, revenue reporting, and governance. Onboarding & Program Management: Lead the onboarding process for new partners and ensure continuous tracking of program progress and attainment. Continuous Learning: Stay up-to-date with AWS cloud platform developments and partner ecosystem trends through certifications and ongoing education. About the Team: AWS is committed to fostering a diverse and inclusive environment. We encourage candidates from all backgrounds, regardless of whether they meet all the listed qualifications, to apply. At AWS, we value diverse experiences and perspectives, and we believe that everyone can contribute to our mission of innovation and growth. Amazon Web Services (AWS) is the world s leading and most comprehensive cloud platform. Since pioneering cloud computing, AWS has continuously innovated to support the most successful startups and global enterprises. Inclusive Team Culture: AWS celebrates curiosity, inclusion, and connection. We believe in fostering a collaborative environment where employees from diverse backgrounds can thrive. Our employee-led affinity groups and inclusion events help create a stronger, more connected team. Mentorship & Career Growth: AWS offers a wealth of resources for knowledge sharing, mentorship, and career development, supporting your growth into a well-rounded professional. Work/Life Balance: We prioritize work-life harmony and flexibility, ensuring that success in the workplace does not come at the expense of personal well-being. Basic Qualifications: A minimum of 5 years of experience in developing, negotiating, and executing business agreements. A minimum of 5 years of professional or military experience. A Bachelor's degree or equivalent experience. Proven experience in developing strategies that influence leadership decisions at the organizational level. Expertise in managing programs across cross-functional teams, building processes, and coordinating schedules. Preferred Qualifications: Experience interpreting data to inform business decisions. Demonstrated ability to identify, negotiate, and execute complex legal agreements. Qualification : Bachelor's degree

Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree

Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration to transform the hybrid cloud and AI landscape for some of the world's most innovative companies. Leveraging IBM's robust technology platforms, including Red Hat, and a strategic partner ecosystem, you'll accelerate impact and deliver meaningful change for clients. This role emphasizes curiosity, creativity, and a culture of evolution, fostering career growth and unique opportunities to make a groundbreaking impact. Your Role and Responsibilities As a SOC Analyst, you will monitor Information Security events using SIEM tools and contribute to safeguarding IT infrastructure by responding to potential threats. Your role involves: Researching security threats and providing insights into new and existing risks. Recommending and improving SOC security processes, procedures, policies, incident management, and vulnerability management. Evaluating, recommending, and resolving issues related to security solutions and assessing the security of new IT systems. Staying updated with emerging security threats and regulatory requirements. Working in a 24x7 Security Operation Centre (SOC) environment to ensure constant vigilance and response to threats. Required Education Bachelor s Degree Preferred Education Bachelor s Degree Required Technical and Professional Expertise 1+ year of experience in SIEM platforms such as QRadar, ArcSight, or Splunk. B.E./B.Tech/MCA/M.Sc. in Computer Science or IT with CEH Certification. Proven ability to monitor security events across SOC channels (SIEM, tickets, email, phone) and escalate based on severity. Expertise in threat modeling, use case development, and policy reviews for security monitoring tools. Preferred Technical and Professional Experience Self-motivated and ambitious with the ability to work independently toward goals. Creative and adaptable with excellent time management skills. Strong interpersonal skills, contributing effectively to team efforts. Join IBM Consulting, where your technical expertise and creative thinking will contribute to a safer digital landscape and help shape the future of cybersecurity. Qualification : B.E./ B.Tech/ MCA/ M.Sc. in Computer Science or IT + CEH Certified