Cloud Lead Jobs in Mumbai

Senior Systems Engineer Pre-Sales Location: Mumbai Job Category: Systems Engineering Job Schedule: Full-Time Company Overview Join Fortinet, a global cybersecurity leader with over two decades of innovation. We are looking for a dynamic Senior Systems Engineer to act as the key technical partner to sales representatives in West India, supporting enterprise accounts across the full sales lifecycle. Key Responsibilities Pre-Sales Leadership: Qualify sales leads, lead pre-bid meetings, and respond to RFPs with technical solution proposals. Demonstration & POCs: Serve as the primary technical resource during sales calls and deliver Proof-of-Concepts (POCs) to demonstrate Fortinet solutions. Post-Sales Oversight: Act as the technical point of contact for assigned accounts, collaborating with SMEs and engineering to resolve complex issues. Channel & Partner Enablement: Train channel partners on Fortinet solutions and competitive differentiation while providing technical oversight. Consulting & Advisory: Develop complex system designs and presentations; contribute to case studies and white papers. Required Skills & Experience Security Expertise: Deep knowledge of SD-WAN, NG Firewall, SASE, WAF, ZTNA, and EDR/XDR. Operations Solutions: Experience with NOC/SOC solutions such as SIEM and SOAR. Cloud & Mobile: Familiarity with public/private cloud security and mobile core solutions (GiFW, CGN, SecGW). Hands-on Ability: Proven experience designing and implementing POCs using Fortinet products or competitive solutions. Communication: Strong consultative and presentation skills with a willingness to travel across India (~25%).

Manager Systems Engineering (Enterprise) Location: Mumbai Job Category: Systems Engineering Job Schedule: Full-Time Role Overview We are seeking a Seasoned Cybersecurity Leader to drive pre-sales strategy and technical vision across enterprise customers in India. This role requires deep cybersecurity expertise and the ability to engage directly with CXO-level stakeholders. You will lead a team of solution engineers and partner with sales leadership to influence the adoption of Fortinet s strategic cybersecurity solutions. Key Responsibilities Strategic Leadership: Lead enterprise pre-sales strategy for solutions including SD-WAN, SASE, ZTNA, SecOps, and Cloud Security. Technical Engagement: Drive customer engagements through workshops, whiteboarding, and POCs; translate complex challenges into tailored solutions. Stakeholder Management: Engage with CXOs and senior IT leadership to align security solutions with business objectives. Team Management: Build, mentor, and manage a team of top-tier pre-sales engineers, ensuring technical excellence and professional growth. Operations: Oversee RFP/RFI responses, solution design, and competitive positioning in collaboration with product and marketing teams. Market Intelligence: Monitor trends and the competitor landscape to enhance enterprise offerings. Required Skills & Qualifications Experience: 15+ years in cybersecurity pre-sales/solution consulting, with at least 3 years in a leadership role. Domain Expertise: Deep knowledge of Network Security, Cloud Security, Zero Trust, and OT (Operational Technology). Education: BS/MS in Computer Science or a related technical domain. Leadership: Proven ability to mentor and inspire technical teams while managing large strategic accounts. Certifications (Preferred): CISSP, CCSP, CCIE, or AWS/Azure Security credentials. Opportunity to shape cybersecurity strategy for top-tier enterprise accounts. A collaborative, leadership-focused role with high autonomy and accountability. Exposure to global teams and cutting-edge GenAI and security technologies. Qualification : BS/MS in Computer Science or a related technical domain

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

Position Title: Senior Vice President Engineering Location: Mumbai Department: Technology Role Overview We are looking for an accomplished and visionary Senior Vice President Engineering to lead the architecture, development, and scaling of our technology platforms. This executive role will be responsible for delivering robust, secure, and high-performance full-stack solutions while driving cloud transformation, DevOps enablement, and platform modernization efforts. You will lead high-performing engineering teams, foster a strong engineering culture, and align technical strategies with overarching business goals. This is a hands-on leadership role suited for a technologist who has deep experience in system architecture, full-stack development, and agile delivery practices. Key Responsibilities Technology Strategy & Architecture Define and evolve the enterprise architecture and long-term engineering roadmap. Lead the design and delivery of scalable, high-performance, and secure full-stack platforms. Evaluate and integrate emerging technologies to drive innovation and future-proof systems. Product & Business Alignment Partner with product, digital, and business stakeholders to align engineering priorities with business goals. Translate business requirements into scalable technical solutions with a focus on speed, reliability, and customer experience. Engineering Leadership & Team Building Build, mentor, and lead high-performing, cross-functional engineering teams. Foster a culture of accountability, collaboration, and technical excellence. Attract and retain top-tier engineering talent in a high-growth environment. Software Delivery & DevOps Excellence Drive end-to-end software development life cycle (SDLC), from planning to deployment. Enforce best practices in code quality, performance optimization, and system reliability. Champion DevOps, CI/CD, and Infrastructure-as-Code practices for streamlined releases. Platform Modernization & Cloud Transformation Lead initiatives for cloud migration, platform re-architecture, and modernization. Ensure platform security, resilience, and compliance across environments. Technology Stack Frontend: React, Angular, TypeScript Backend: .NET, Node.js, Python Databases: RDBMS, MongoDB, MySQL, Redis Cloud & DevOps: AWS, Docker, Kubernetes, Jenkins Collaboration & Tools: GitHub, Jira, Confluence Desired Candidate Profile 12+ years of progressive experience in engineering leadership roles. Proven track record of scaling engineering functions and delivering high-impact platforms in fast-paced, growth-oriented environments. Deep technical proficiency across multiple tech stacks and strong architectural understanding of large-scale distributed systems. Demonstrated experience with cloud-native architectures, DevOps practices, CI/CD pipelines, and platform security. Strong business acumen with the ability to align technical execution with strategic objectives. Exceptional leadership and communication skills with a collaborative and mentoring mindset. Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related technical field

Sr. Manager Business Collaboration Location: Mumbai Experience: 2 8 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications At Tata Communications, we are redefining global connectivity through innovation and intelligence. From Cloud and Mobility to Internet of Things (IoT), Unified Collaboration, Security, Media, and Network Services, we are building the next generation of digital infrastructure to support the New World of Communications. Role Overview We are seeking a Senior Manager Business Collaboration to lead and grow our Unified Collaboration product portfolio. This role will be responsible for product strategy, lifecycle management, GTM planning, and driving profitable growth. You will define the product roadmap, manage cross-functional development, and ensure exceptional customer experiences through product enhancements and digital journeys. This is a tactical and strategic role with direct influence on mid-term business outcomes, driving revenue, profitability, and competitiveness in the Unified Collaboration space. Key Responsibilities Product Ownership: Define product requirements and manage development from concept to launch. Own the product roadmap, delivery, and enhancements. Customer Experience: Collaborate with IT and operations teams to streamline the digital customer journey and improve CSAT scores through process and system improvements. Go-to-Market Strategy: Develop and execute product plans including value proposition, pricing, positioning, promotions, packaging, and sales enablement. Performance Tracking: Monitor product P&L, revenue, profitability, and market competitiveness. Provide accurate forecasting and reporting of product performance. Sales Support: Equip sales teams with tools, training, and guidance to communicate product value. Define pricing guidelines and assist in special solutioning when needed. Market Intelligence: Analyze local market dynamics, customer needs, and competition to refine offerings and maintain a strong market position. Cross-functional Leadership: Collaborate with marketing, engineering, IT, operations, and finance to align strategy and execution. Optional People Management: May lead a small team or act as an individual contributor, depending on the scope. Minimum Qualifications & Experience Bachelor's degree in a relevant field (MBA preferred). 2 8 years of experience in product management, preferably in Unified Collaboration or Telecom domains. Desired Skill Sets Strong understanding of product strategy, planning, and execution. Experience in go-to-market strategy, pricing models, and product positioning. Commercial acumen with the ability to analyze P&L and market data. Strong knowledge of local markets and customer behavior. Solution-oriented mindset with an end-to-end product view. Excellent communication, presentation, and stakeholder management skills. Experience working across cross-functional teams including sales, marketing, engineering, and operations. Familiarity with digital platforms and creating seamless customer journeys is a plus. Be part of a leading global digital ecosystem enabler. Drive cutting-edge innovation in cloud, connectivity, and collaboration. Collaborate with visionary leaders and global teams. Accelerate your career with impactful, high-ownership roles. Qualification : Bachelor's degree in a relevant field (MBA preferred)

Manager Financial Reporting & Compliance Location: Mumbai Experience: 3 7 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is redefining global connectivity through innovation, intelligence, and next-generation digital services. As a global leader in Cloud, Mobility, IoT, Security, Collaboration, and Network services, we are building a New World of Communications with deep technological expertise and transformative solutions that impact businesses worldwide. Role Overview We are looking for a qualified Chartered Accountant to join our Financial Reporting & Compliance team. In this operational role, you will be responsible for financial reporting, statutory compliance, and process implementation across financial systems and controls. Your contributions will directly impact the accuracy, transparency, and timeliness of financial outcomes for assigned accounts and business entities. Key Responsibilities Financial Reporting & Analysis: Prepare monthly Profit & Loss statements, conduct variance analysis, and present reports to management. Ensure accurate accrual accounting, including payroll and prepaid accounting. General Ledger & Reconciliations: Maintain GL hygiene by managing open item clearing in SAP. Review and ensure accurate bank reconciliations with minimal open items. Perform and review intercompany reconciliations and ensure correct accounting across entities. Intercompany Transactions: Raise and manage debit notes for intercompany charges. Track regular settlement of intercompany accounts. FX Revaluation & Audit Support: Analyze foreign exchange gain/loss and ensure accurate revaluation entries. Liaise with statutory auditors to support audit closure for assigned entities. Prepare balance sheets and required financial schedules. Compliance & Audit: Support internal and external audits, resolve auditor queries, and provide required documentation. Assist in Income Tax and Transfer Pricing returns filing and data preparation for statutory surveys. Support inputs for monthly and quarterly financial reviews. Minimum Qualifications Chartered Accountant (CA) with 3 to 7 years of post-qualification experience. Strong experience in controllership, financial reporting, and compliance. Desired Skills Proficient in Advanced Excel for financial analysis and modeling. Hands-on experience with SAP (preferably SAP HANA). Solid understanding of accounting standards, financial control, and reporting principles. Exposure to other finance domains (e.g., taxation, treasury) is a plus. Detail-oriented with excellent problem-solving and analytical skills. Familiarity with finance/statistical tools or audit management software is advantageous. Work with a globally recognized leader in digital infrastructure. Be part of a dynamic finance team driving regulatory compliance and financial integrity. Experience a collaborative, future-focused culture that invests in professional growth. Qualification : Chartered Accountant (CA)

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.

Position: Lead Data Engineer Location: Mumbai, India (Hybrid 4 days onsite) Division: Engineering | Full-Time About Blenheim Chalcot Blenheim Chalcot is one of the world s leading digital venture builders. For over 20 years, we've been building disruptive, GenAI-enabled companies across industries such as FinTech, EdTech, GovTech, Media, and Sport. Headquartered in London, we operate globally, with a rapidly growing team in India that supports innovation, growth, and technical excellence across our portfolio. Blenheim Chalcot India, launched in 2009, is a central force behind our success. Our team delivers core services across technology, marketing, HR, finance, legal, and more serving as a powerful launchpad for ventures shaping global trends. About Fospha Fospha is a rapidly growing marketing measurement platform for eCommerce brands. We re certified partners of Meta, TikTok, and Snap, and have earned a reputation for helping some of the world s most well-known D2C brands unlock measurable growth. With product-market fit secured and award-winning success behind us, we re expanding globally and looking for top engineering talent to power our next phase of scale. The Role: Lead Data Engineer We re hiring a Lead Data Engineer to oversee the design, implementation, and performance of scalable ELT pipelines and data infrastructure. This is a hands-on leadership role, ideal for an experienced engineer who excels at building systems, mentoring teams, and driving business value through clean, reliable data. You will lead technical delivery in partnership with analysts, ML engineers, and stakeholders, ensuring data remains a strategic asset across Fospha s product suite. Key Responsibilities Lead and mentor a team of Data Engineers, cultivating a collaborative and high-performance environment. Own the end-to-end delivery of data engineering projects architecture, execution, quality, and scalability. Design and implement robust ELT pipelines using modern tooling and cloud infrastructure. Maintain and enhance data models used by analysts, ML engineers, and product teams. Collaborate across engineering, product, and analytics to define data requirements and delivery roadmaps. Ensure data integrity, reliability, and governance across multiple sources and systems. Contribute to exploratory data analysis, schema evolution, and pipeline optimizations. Identify and implement continuous improvements to processes, tools, and team workflows. Stay abreast of industry trends and emerging tools in data engineering and architecture. About You Required Experience & Skills Proven experience leading data engineering teams with end-to-end technical ownership. Expert-level knowledge of SQL (especially PostgreSQL) and relational databases. Proficiency in Python for data manipulation and scripting. Strong understanding of data pipelines, architecture, and ELT/ETL design. Familiarity with agile software development practices. Preferred Experience Experience using dbt (Data Build Tool) in production environments. Familiarity with AWS data services (e.g., Redshift, S3, Glue, Athena). Exposure to data modeling, statistics, or data science-friendly data design. Education Bachelor's or Master s degree in Computer Science, Engineering, or a related technical discipline. Join the world s leading venture builder, working on GenAI-enabled, high-growth startups. Hybrid work setup: 4 days onsite in our modern Mumbai office. Learn from diverse, top-tier global talent across engineering, data, and product. Culture of continuous learning, mentorship, and rapid innovation. 24 days of annual leave, 6 floater days, and 4 public holidays. Private medical insurance for you and your immediate family. Inclusive parental leave policies and a family-first work culture. A fun and collaborative environment we also own the Rajasthan Royals IPL team! Our Commitment to Diversity At Blenheim Chalcot, inclusion and meritocracy are at the core of our culture. We believe diversity drives better outcomes, and we are committed to fostering a workplace where everyone can thrive and make the most of their skills and potential. Application Process Our streamlined hiring process starts with a 15-minute introductory call, followed by interviews with our engineering leadership. We respect your time and aim to provide prompt, clear communication throughout. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related technical discipline.

Job Title: AWS Cloud Solution Architect Location: Mumbai, India Experience: 8+ years (with minimum 5 years in Cloud) Education: Bachelor s Degree + AWS Certified Solutions Architect (Associate or Professional) Job Profile We are seeking an experienced AWS Cloud Solution Architect with a strong background in cloud architecture, solution design, and presales activities. The ideal candidate will have hands-on expertise in large, complex cloud deployments, especially AWS migration projects, and be capable of leading cloud enterprise solutions implementation. Key Responsibilities Design, implement, and deploy scalable cloud-based enterprise solutions on AWS. Lead migration projects from on-premises or other cloud platforms to AWS. Work closely with a team of Cloud Administrators and Developers to deliver innovative cloud solutions. Implement automation throughout the software development lifecycle (SDLC) to accelerate delivery and minimize errors. Administer and oversee automation tools and processes, taking corrective actions to improve system stability and prevent recurring issues. Collaborate with presales teams to architect cloud solutions for prospective clients. Required Skills and Experience Hands-on Experience: AWS Cloud Administration via AWS Console and CLI. AWS CloudFormation, CodePipeline, CodeDeploy, and other Infrastructure as Code (IaC) tools. Scripting with Bash and PowerShell. Linux and Windows system administration. Container technologies including Docker and Kubernetes (3-4 years experience). Automation and CI/CD: Experience with Infrastructure Automation tools such as Chef, Puppet, Ansible (minimum 2). Familiarity with source control management tools like Git. Experience with CI/CD tools such as Jenkins, CircleCI, or equivalent. Certifications: At least one AWS Associate or Professional level certification in Solutions Architecture. Soft Skills: Excellent communication and collaboration skills. Ability to work effectively within cross-functional teams and communicate complex technical concepts to stakeholders. Basic Qualifications Bachelor s Degree in Computer Science, Engineering, or related field. 8-13 years of professional experience with at least 5 years focused on cloud technologies. Minimum 4-5 years of hands-on AWS experience, especially in migration projects. Proven track record in architecting, designing, and deploying large scale AWS cloud solutions. Join us to architect and lead cloud innovations that drive business transformation! Qualification : Bachelors Degree in Computer Science, Engineering, or related field.

Job Title: AWS Cloud DevOps Lead Location: Mumbai, India Experience: 8-12 years Education: Bachelor s Degree + AWS Certification (preferred) Job Summary We are looking for a dynamic AWS Cloud DevOps Lead to lead our team of 10-15 DevOps and Cloud engineers based in Noida. You will play a key role in driving DevOps adoption, managing cloud infrastructure, and ensuring robust automation and operational excellence across our AWS environments. Key Responsibilities Lead, mentor, and manage a team of DevOps and Cloud engineers. Drive the design, implementation, and deployment of cloud-based enterprise solutions. Understand and work with diverse application architectures (Monolithic, SOA, Microservices, Event-driven). Develop application architectures and create Scope of Work (SoW) documents for technical deployments. Manage technology infrastructure engineering, operations, and management of on-prem and cloud-based production systems, ensuring high availability, scalability, and performance. Innovate and create new automation, tooling, and security processes to enhance product/service reliability and efficiency. Collaborate closely with cloud administrators, developers, and cross-functional teams. Oversee budgeting and resource allocation for technology infrastructure and cloud computing. Lead customer interactions for technical requirement gathering and use case mapping with AWS services. Implement automation in the SDLC to reduce time to market and minimize errors. Administer and troubleshoot automation tools and processes, taking corrective actions proactively. Basic Qualifications & Experience 5+ years of cloud experience, with a strong focus on designing, maintaining, and administering large production environments. 7+ years hands-on Linux administration experience (Ubuntu preferred). 5+ years experience with cloud platforms (AWS preferred, GCP/Azure exposure a plus). Strong experience with Infrastructure as Code (IaC) and configuration management tools such as Terraform and Ansible (5+ years). Hands-on experience with AWS CloudFormation, CodePipeline, CodeDeploy, and AWS Console/CLI. Proficient with scripting languages: Python (with AWS Boto), Bash, PowerShell. Experience with CI/CD tools including GitLab CI, Jenkins, CircleCI (5+ years). Kubernetes experience (EKS preferred) with 3+ years managing container orchestration. Experience with MongoDB (self-hosted and Atlas) for 3+ years. Knowledge of infrastructure automation tools such as Chef, Puppet, or Ansible (minimum 2). Strong understanding of IT infrastructure including hypervisors, SDN, serverless, and containerized environments. Experience in customer-facing roles for technical requirement gathering and solution design. Proven team leadership and people management skills. AWS certification(s) highly preferred. Technical Skills Cloud Platforms: AWS (primary), GCP, Azure Container Orchestration: Kubernetes (EKS) Infrastructure Automation: Terraform, Ansible, CloudFormation, Chef, Puppet CI/CD: GitLab CI, Jenkins, CircleCI Scripting: Python (Boto), Bash, PowerShell OS Administration: Linux (Ubuntu), Windows Databases: MongoDB (self-hosted and Atlas) Join us to lead the transformation of cloud infrastructure and DevOps practices at scale!

SAP PP/QM Consultant Job Description Role and Responsibilities: SAP Expertise: With 6+ years of SAP PP-PI (Production Planning Process Industry) & Discrete Manufacturing experience, you will play a crucial role in implementing SAP solutions. End-to-End Implementation: Lead at least 3 full life cycle implementations of SAP PP-PI, Discrete Manufacturing, and REM (Repetitive Manufacturing). Configuration & Testing: Strong skills in configuring and testing SAP modules, specifically in Forecasting, Demand Management, Production Planning (MRP Live), Shop Floor Execution, and Capacity Planning. S4/HANA Implementation: Experience in S4HANA implementation and migration processes, ensuring smooth transitions to the latest platforms. Module Integration: Expertise in integrating SAP PP with QM (Quality Management), CO (Controlling), MM (Materials Management), and SD (Sales and Distribution) modules. Cloud Implementation: Experience in SAP RISE or Public Cloud implementation would be an advantage. Manufacturing Processes: In-depth knowledge of processes such as MTS (Make to Stock), MTO (Make to Order), and Repetitive Manufacturing in SAP. Process Management: Strong understanding of process management using PI Sheets, Process Control Systems Integration, Recipe Management, Active Ingredient Calculation, and Batch Management. Change Management: Good experience in Engineering Change Management and Order Change Management functionality within SAP. Enhancements & Functional Requirements: Hands-on experience in gathering functional requirements, creating smart forms, and conducting enhancement development. S/4HANA and Fiori: Knowledge of SAP Fiori and the S/4HANA Data Migration Tool to enhance the user experience and streamline data transitions. UAT & Documentation: Experience in User Acceptance Testing (UAT), preparing training materials, and maintaining project documentation. Required Experience: Experience: 6 to 12 years of relevant work experience in SAP PP/QM consulting. Industry Knowledge: Prior experience working in industries utilizing SAP solutions, with a focus on manufacturing and production processes. Location: Mumbai (onsite) About Castaliaz: Castaliaz has been at the forefront of SAP implementation for SMEs and large enterprises across India for over a decade. We are recognized as one of the Top 10 SAP implementation partners in India. With expertise in a wide range of SAP applications, including SAP Cloud, Rise with SAP, S/4HANA, Fiori, Ariba, and Digital Compliance (GST, E-Invoicing, E-Way Bill), we help clients navigate the entire lifecycle of SAP implementation and management. Our proven, time-tested implementation approach has earned the trust and loyalty of our clients nationwide. As an SAP Gold Partner, Castaliaz continues to be a leader in delivering top-tier SAP solutions.

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

About Adobe At Adobe, we re changing the world through digital experiences. From emerging artists to global brands, we provide the tools needed to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful, powerful images, videos, and apps that transform how companies engage with customers across every screen. We re on a mission to hire the very best talent, fostering an inclusive culture where everyone is respected and has access to equal opportunities. We believe great ideas can come from anywhere, and the next big idea could be yours! The Opportunity We are seeking a Solutions Architect Expert to lead pre-sales efforts in our India region as part of the Professional Services team. In this role, you ll be a trusted advisor, passionate about digital transformation and customer experience (CX). You'll work closely with customers and prospects, collaborating with sales and service delivery teams to craft and present compelling solutions based on a deep understanding of customer objectives and priorities. You ll work directly with stakeholders at all levels, including C-suite executives such as CTOs, CIOs, CMOs, and CDOs, to understand their drivers and define how Adobe's technology can help them achieve their business outcomes. What You ll Do Customer Engagement: Help customers understand Adobe's capabilities and the transformative power of world-class customer experiences. Build Trust and Credibility: Work closely with customers' architects and technical/business stakeholders to establish trust and guide them toward the best outcomes. Collaborate Across Teams: Partner with account teams, delivery teams, product engineering, and professional services sales executives to drive business growth and ensure customer success. Pre-Sales Leadership: Review, prioritize, and lead strategic pre-sales engagements with large and complex customers. Lead workshops to uncover needs and develop actionable solutions. Holistic Solutioning: Create and present comprehensive services responses and proposals that include service scope, staffing, and roadmaps aligned with customer objectives. Estimation and Solutioning: Lead the presales, solutioning, and estimation for Adobe Experience Cloud projects, utilizing Adobe's estimation models and tools. Identify High-Value Use Cases: Define integrated solution architectures that deliver impactful business outcomes and drive CX transformation. Stakeholder Communication: Communicate technical solutions clearly, tailoring your message to both technical teams and business stakeholders. Team Leadership: Provide guidance and leadership to junior team members and support the progression of services opportunities. Travel: Be willing to travel up to 10-15% of the time as required. Qualifications, Experience, and Aptitude Experience: 12-20 years of experience in consulting or within a technology company or product vendor, with a focus on CX technology and pre-sales services. CX Technology Expertise: Deep experience with digital experience technologies such as UX/UI, web content management, analytics, optimization, personalization, customer data platforms, and eCommerce. Solution Architect Experience: Proven track record as an enterprise architect, solution architect, or solution lead, especially in architecting service scope and integrated architectures using Adobe Experience Cloud products. Adobe Experience Cloud Expertise: Familiarity with Adobe products such as Adobe Experience Manager, Adobe Experience Platform (RTCDP, CJA, AJO), Adobe Commerce, Adobe Analytics, Adobe Campaign, Adobe Target, and Adobe Workfront. Analytical and Problem-Solving Skills: Strong ability to analyze data, websites, architectures, and use cases to determine the best solution using Adobe technology. Communication Skills: Exceptional ability to communicate complex technical solutions in a compelling, clear, and concise manner, tailored to different stakeholders. Collaboration and Teamwork: Strong team player who can collaborate with multiple stakeholders to meet tight deadlines and deliver high-quality proposals and responses. Travel Willingness: Ability and willingness to travel up to 10-15% of the time. Education: Technical degree required, advanced degree preferred. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We do not discriminate based on gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

Role: Principal - Growth Manager (HPE) Function/Department: HPE Experience: 8-12 Years Education: Graduation: B.Tech, BCA, BE, B.Sc Post-Graduation: M.Tech, MCA, MBA, M.Sc Job Purpose: We are looking for a Principal - Growth Manager to lead the end-to-end digital marketing strategy for Debt Management. This role will be responsible for driving revenue growth through data-driven digital campaigns, optimizing the debt recovery process, and ensuring maximum ROI from marketing investments. You will collaborate with multiple stakeholders to design and execute impactful marketing initiatives that align with business goals. Key Responsibilities: Growth Strategy & Digital Optimization: Design and implement growth strategies to enhance the debt management process via digital channels. Lead digital marketing objectives for debt management, working with Agile Campaign Teams to drive lead generation and maximize business outcomes. Optimize cross-channel customer journeys based on analytics, stakeholder inputs, and industry benchmarks. Define audience segmentation strategies to deliver personalized offers, content, and conversations. Revenue & Performance Management: Own revenue targets for debt management and drive measurable business growth. Develop, monitor, and refine campaign performance metrics to ensure continuous optimization. Provide regular performance reports to senior leadership and make data-driven decisions to enhance campaign success. Conduct market research to identify trends and improve digital marketing effectiveness. Leadership & Collaboration: Lead and mentor a team of growth managers to drive campaign execution and achieve targets. Work cross-functionally with internal teams and external partners to develop and execute marketing strategies. Ensure seamless execution of sales lead management and lead lifecycle optimization. Secondary Responsibilities: Strong problem-solving skills with a growth mindset. Ability to understand business targets and translate them into effective marketing strategies. Optimize customer journeys (CRO) on digital and assisted platforms. Utilize bureau data insights for digital marketing strategies. Knowledge of financial products and customer lifecycle management. Comfortable working in Agile environments with an incremental ROI approach. Basic proficiency in Data Analytics & Statistics for marketing insights. Preferred Skills & Tools: Proven track record in scaling business and driving growth through digital campaigns. Hands-on experience with leading MarTech tools such as CleverTap, Salesforce Marketing Cloud, Google Analytics, and automation platforms. Ability to independently lead, communicate, and collaborate with multiple business partners and global teams. Lead high-impact digital growth initiatives in a fast-paced, data-driven environment. Work with cutting-edge MarTech tools and drive innovation in debt management marketing. Collaborate with industry experts and contribute to business growth through digital transformation. If you're a strategic thinker with a passion for digital marketing, revenue growth, and performance optimization, we invite you to apply and be part of our dynamic team! Qualification : Graduation:Bachelor of Technology B.Tech, Bachelor of Computer Applications - BCA, Bachelor of Engineering - BE, Bachelor of Science - B.ScPost-graduation: Master of Technology M.Tech, Master of Computer Applications - MCA, Master of Business Administration - MBA, Master of Science - M.Sc

Java Project Lead Location: Mumbai Job Type: Full-time Experience: 8-10 Years About the Role We are looking for an experienced Java Project Lead to oversee software development projects and lead a team of developers. The ideal candidate will have 8-10 years of experience in Java development and a strong background in software architecture, team leadership, and project management. You will be responsible for designing, implementing, and delivering high-quality software solutions while ensuring best practices and technical excellence. Key Responsibilities Lead and manage Java development projects from inception to deployment. Collaborate with stakeholders to define project scope, technical requirements, and timelines. Architect, design, and implement scalable and high-performance Java applications. Guide and mentor a team of developers, ensuring adherence to best coding practices. Conduct code reviews and enforce quality standards. Optimize application performance and troubleshoot technical issues. Manage project risks, timelines, and deliverables. Stay updated with the latest Java technologies and industry trends. Required Qualifications 8-10 years of experience in Java development and software architecture. Strong proficiency in Core Java, Spring, Spring Boot, Hibernate, and RESTful APIs. Experience in Microservices architecture and Cloud platforms (AWS, Azure, GCP). Strong knowledge of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.). Hands-on experience with CI/CD pipelines, version control (Git, Jenkins), and containerization (Docker, Kubernetes). Proven experience in leading development teams and managing software projects. Excellent problem-solving, decision-making, and communication skills. Preferred Qualifications Experience with Kafka, RabbitMQ, or other messaging systems. Familiarity with front-end technologies such as Angular or React. Exposure to DevOps practices and automation tools. Knowledge of Agile/Scrum methodologies and project management tools (JIRA, Trello, etc.). Competitive salary and benefits package. Leadership opportunities in a dynamic work environment. Exposure to cutting-edge technologies and challenging projects. Career growth and professional development programs.

Role: Director IT Infrastructure Location: Mumbai Experience: 12 15 years The Director of IT Infrastructure will lead global IT infrastructure operations, ensuring scalability, security, and efficiency. This role requires a visionary leader who can streamline processes, drive technological advancements, and build a world-class IT infrastructure. Key Responsibilities Strategic Leadership Develop and implement IT infrastructure and security strategies aligned with business goals. Lead technology evaluations and adopt innovative solutions to enhance global service delivery. Infrastructure Management Oversee the design, deployment, and maintenance of: Virtual Desktop Infrastructure (VDI) Networking (LAN/WAN, Wi-Fi, VLAN, etc.) Enterprise cloud applications (Azure AD, O365, etc.) Security infrastructure (antivirus, firewalls, VPNs) Ensure disaster recovery and business continuity plans are robust and tested regularly. Optimize IT software and hardware assets throughout their lifecycle. Process & Documentation Establish, document, and standardize processes for IT infrastructure operations. Maintain comprehensive infrastructure documentation for consistency and knowledge sharing. Drive continuous process improvements to align with industry best practices. Global IT Asset Management Implement efficient asset management strategies for multi-geography tracking. Maintain an accurate IT asset inventory to ensure visibility, control, and compliance. Align asset management practices with HR and business needs. Team Leadership & Development Build and lead a high-performing IT Infrastructure & INFOSEC team. Mentor and support the career growth of team members. Foster a culture of collaboration, accountability, and continuous learning. Operational Excellence Develop and enforce infrastructure policies, procedures, and standards. Monitor key performance indicators (KPIs) and ensure SLA compliance. Security & Compliance Collaborate with Compliance teams to meet security standards (ISO 27001, SOC2, NIST). Identify and mitigate IT security vulnerabilities while ensuring regulatory compliance. Manage audits and implement security recommendations. Budget & Stakeholder Management Plan and manage the IT infrastructure budget, ensuring cost-effective solutions. Engage with internal stakeholders globally to address IT infrastructure needs. Required Skills & Qualifications Technical & Business Expertise Education: Bachelor s/Master s in Information Technology, Computer Science, or related field. Experience: 12+ years in IT infrastructure roles, with 5+ years in leadership. Strong expertise in systems administration, network management, and cloud solutions. Proven ability to manage large-scale IT projects across global locations. Experience working in multi-geography enterprise environments. Preferred Certifications: ITIL, PMP, or any relevant IT infrastructure/security certifications. Soft Skills & Abilities Leadership & Strategic Thinking Ability to drive large-scale IT transformations. Problem-Solving Strong analytical skills to resolve complex challenges. Stakeholder Management Excellent communication and collaboration skills. Risk & Escalation Handling Proactive in mitigating security and operational risks. Work on cutting-edge data security solutions. Engage with global enterprises and industry leaders. Innovate in an entrepreneurial, high-growth culture. Lead a high-impact IT Infrastructure team, shaping the future of cybersecurity. Qualification : Bachelors or masters degree in Information Technology, Computer Science, or a related field.

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