Cloud Monitoring Jobs in Mumbai

Sr. Infrastructure Operations & Services Location: Mumbai Skill Category: IT / Technology Work Type: Full-Time Company Overview Nomura is a global financial services group spanning ~30 countries and regions. By connecting markets East & West, Nomura serves individuals, institutions, corporates, and governments through Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, Nomura has a long-standing tradition of disciplined entrepreneurship and thought leadership. Nomura Services India (Powai) supports global operations with world-class capabilities in trading support, research, IT, financial control, operations, risk management, and legal support. Powai serves as a critical platform for Nomura s growth and global expansion strategy. Role Overview The Sr. Infrastructure Operations & Services role offers an opportunity to join a global, diverse engineering team in a hands-on capacity. You will be responsible for supporting and optimizing Nomura s cloud infrastructure while collaborating with cross-functional teams to ensure reliability, scalability, and operational excellence. Key Responsibilities Cloud Operations & Support Provide follow-the-sun support for the Global Cloud Operations team, including on-call rotation and weekend coverage as required. Lead incident response and problem resolution with urgency, ensuring minimal business disruption. Manage cloud environments across AWS platforms, ensuring stability, performance, and security. Infrastructure & Automation Deliver Public Cloud projects through design and implementation, collaborating with Cloud Engineering teams. Develop and maintain robust Infrastructure as Code (IaC) artifacts using tools such as Terraform, AWS CloudFormation, and Ansible. Optimize cloud systems to improve reliability, scalability, and deployment velocity. Kubernetes & Container Management Troubleshoot and resolve issues related to Kubernetes infrastructure, networking, and container orchestration. Collaborate with software engineering teams to optimize application deployment and performance on Kubernetes environments. Documentation & Compliance Document processes, procedures, and configurations to facilitate knowledge sharing. Ensure adherence to compliance and regulatory requirements. Required Skills & Experience Hands-on experience: 5 8 years in AWS platform management. Automation & IaC: Proficiency with Terraform, AWS CloudFormation, Ansible. Kubernetes & Containers: Working knowledge of Rancher/RKE2 and AWS EKS; containerization with Docker/Podman. Monitoring & Logging: Experience with Prometheus, Grafana (preferred), ELK stack. Operating Systems: Strong Linux/Unix/Windows skills. Excellent problem-solving, communication, and collaboration skills. Ability to thrive in fast-paced, high-pressure environments. Preferred Skills AWS certifications (e.g., Solutions Architect, SysOps Administrator). Kubernetes certifications (e.g., CKA, CKAD). Experience with CI/CD pipelines and hybrid/multi-cloud strategies. Programming skills in Python for cloud API automation. Strong interest in emerging cloud and infrastructure technologies. Why Join Nomura This role provides a unique opportunity to drive cloud infrastructure strategy, implement automation, and support global operations in a highly dynamic and collaborative environment. You will work at the forefront of emerging technologies while contributing to Nomura s global technology footprint.

VP Global Delivery Head Location: Mumbai Experience: 20 25 Years Function: Delivery Leadership | Enterprise Software | BFSI Join VuNet Powering the Future of Digital Financial Experiences At VuNet, we're building the next frontier of Business Journey Observability a deep-tech platform that uses Big Data and AI/ML to radically transform digital experiences for banks, financial services, and enterprises. We monitor 28+ billion monthly transactions, empowering 300+ million users. VuNet is Series B funded, recognized by Gartner, Forbes, NASSCOM, and scaling fast across India, MEA, and global markets. Your Role: VP Global Delivery Head We are seeking a seasoned, high-impact leader to spearhead the global delivery of our mission-critical observability platform, with a primary focus on BFSI clients. As the Global Delivery Head, you will own the end-to-end lifecycle of customer implementations from onboarding and integration to adoption and long-term success in high-SLA, regulated, and large-scale environments. You ll lead multidisciplinary teams across delivery, engineering, SRE, support, and customer success, ensuring strategic execution, operational excellence, and measurable value for our clients. Key Responsibilities 1. Strategic Delivery Leadership Define and execute the delivery roadmap aligned with product strategy and GTM plans. Drive customer expansion through successful implementations and measurable business outcomes. Enable platform adoption at scale across complex environments like core banking, payments, hybrid cloud, and microservices. 2. End-to-End Customer Delivery Own the full delivery lifecycle onboarding, implementation, optimization, support. Lead complex integrations with Kubernetes, cloud-native stacks, enterprise systems. Ensure high-SLA go-lives, on-time rollouts, and outcome-driven execution. Travel as needed (domestic/international) to lead critical engagements and build trusted partnerships. 3. Program & Team Management Lead and mentor cross-functional teams: Implementation Engineers, TPMs, SREs, Expert Services, Support. Implement playbooks, KPIs, delivery frameworks, and standard operating procedures. Oversee resource planning, forecasting, and operational governance across accounts. 4. Executive Stakeholder Management Act as a trusted advisor to CXO-level client stakeholders CIOs, Infra Heads, SRE Leads. Present business value through dashboards, metrics, traces, and ROI models. Own delivery health reporting to internal leadership and drive continuous improvements. 5. Delivery Excellence & Process Innovation Champion observability best practices (APM, tracing, log analytics, synthetic monitoring, etc.). Institutionalize automation, monitoring, and proactive incident management. Ensure regulatory and audit compliance for BFSI and PSU deployments. What You Bring Technical Acumen Deep understanding of observability platforms (Grafana, Prometheus, Datadog, Splunk, Dynatrace, etc.). Hands-on knowledge of cloud-native, DevOps, and SRE ecosystems (Kubernetes, CI/CD, AWS/Azure/GCP). Exposure to enterprise architecture, telemetry pipelines, and platform instrumentation. Leadership & Delivery Experience 20 25+ years in enterprise software delivery; 10+ years in BFSI with direct exposure to mission-critical programs (e.g., core banking, real-time payments). Proven success in high-pressure, complex, multi-stakeholder implementations. Familiarity with PSU banks, regulated environments, audit cycles, and compliance standards. Strong grounding in Agile, ITIL, and program management best practices. Soft Skills & Presence Exceptional communication, leadership presence, and stakeholder influence. Ability to navigate executive-level conversations and drive strategic outcomes. Sharp analytical mindset with a passion for structured delivery and high performance. Success Metrics (KPIs) Time-to-onboard and customer satisfaction (NPS/CSAT). Platform uptime and telemetry coverage. SLA adherence and incident resolution TAT. Observability adoption (dashboards, alerts, integrations). Delivery team productivity and retention. At VuNet, you ll be at the forefront of a Made-in-India global tech movement. We re creating a category-defining observability platform, with a bold mission and a passionate team behind it. What You ll Experience: Ownership from Day 1: Drive critical programs, influence strategy, and shape success. Cutting-Edge Innovation: Work on AI/ML, telemetry, and next-gen enterprise software. Collaborative Culture: Work with mission-driven colleagues in a transparent and growth-focused environment. Leadership Opportunity: Build and scale global delivery for a high-impact platform. Perks & Benefits Comprehensive health insurance (including parents & dependents). Mental wellness support and 1:1 counselling access. Gen AI-enabled tech and collaboration workspaces. Career development support, training programs, and leadership coaching. High-trust, inclusive, and empowering workplace culture.

Job Title: DevSecOps Engineer Location: Mumbai Education: Graduate / Post-Graduate in Computer Science, Engineering, or a related field Experience: 2 8 years in IT / IT Security (Minimum 2 years in a relevant DevSecOps role) Role Overview We are looking for a DevSecOps Engineer with a strong security-first mindset and deep experience in automating and securing CI/CD pipelines. This role will focus on integrating security into the software development lifecycle, ensuring reliable and secure deployment of cloud-native applications, and maintaining robust infrastructure-as-code practices. The ideal candidate will have hands-on experience in cloud deployments, scripting, infrastructure automation, and a solid understanding of secure coding and development practices. Note: Candidates must be eligible for and able to pass DHS Suitability Clearance. Key Responsibilities Integrate SAST, DAST, and SCA tools into the CI/CD pipeline for automated application security scanning. Define, develop, and maintain CI/CD strategies and pipelines, especially for managing Infrastructure as Code (IaC). Lead build, deployment, and monitoring standards for secure and scalable application delivery. Collaborate with Agile development teams to implement end-to-end automation of application and infrastructure deployments in cloud environments. Automate provisioning and configuration of infrastructure using scripting and templating tools. Maintain and optimize CI/CD tools such as Jenkins, Travis, Ansible, and Kubernetes. Work closely with development, operations, and vendor teams to resolve technical issues and improve system reliability. Monitor, support, and maintain installed systems and infrastructure, ensuring maximum availability and performance. Create and maintain scripts for system efficiency, automation, and operational improvements. Contribute to the design and implementation of secure, scalable, and highly available systems. Ensure strong backup, redundancy, and security strategies are in place and actively maintained. Identify performance bottlenecks and work with development teams to implement solutions. Required Skills & Experience Technical Skills: Strong scripting skills in one or more languages: Shell, Python, Ruby, Perl, Go, Groovy, Helm, PowerShell, etc. Experience with: Infrastructure as Code (IaC) tools and practices Cloud deployments and monitoring of web applications Operating systems: Strong in UNIX/Linux Networking concepts, particularly OSI layers and TCP/IP Experience with the administration and tuning of application stacks such as: Tomcat, JBoss, Apache, NGINX, Ruby, etc. Hands-on experience with: CI/CD tools: Jenkins, Travis, etc. Configuration management: Ansible Container orchestration: Kubernetes Mindset & Soft Skills: Security-first mindset with understanding of secure coding and DevSecOps principles Demonstrated ability to build secure and reliable infrastructure and pipelines Strong analytical and problem-solving skills Effective verbal and non-verbal communication and collaboration skills Proactive, self-driven, and able to work in fast-paced environments Preferred Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field Experience with DevSecOps in regulated or security-sensitive environments Familiarity with compliance requirements and security standards Be at the forefront of secure DevOps practices in a growing and tech-forward organization Work with cutting-edge technologies and tools in cloud-native environments Collaborate with a high-performing, cross-functional team Contribute to meaningful, security-focused development initiatives Competitive compensation and professional growth opportunities Qualification : Graduate / Post-Graduate in Computer Science, Engineering, or a related field

Job Title: Linux Administrator Location: Mumbai Experience: 2 5 Years Remuneration: Best in Industry Job Summary: We are seeking a skilled Linux Administrator with 2 5 years of hands-on experience in managing Red Hat Enterprise Linux and CentOS environments. The ideal candidate will be responsible for installation, configuration, system hardening, and integration tasks, along with troubleshooting and performance optimization. Key Responsibilities: Install and configure Red Hat Enterprise Linux and CentOS 7 Configure and manage YUM repository servers and clients Set up and maintain sFTP servers Perform operating system hardening and implement security best practices Restrict direct root access and configure privileged access control (su/sudo) Apply OS updates and security patches Integrate Linux servers with Windows Active Directory Set and manage user umask policies Create, manage, and delete user accounts Assign administrative privileges as required Create, extend, and reduce LVM volumes Configure and manage NTP servers and clients Increase and manage swap partitions Troubleshoot system and network-related issues Configure services such as vsftpd, Samba, and NFS Install and configure rsyslog server for centralized logging Set GRUB passwords and modify kernel parameters Configure firewall rules to allow required ports Set limits on file and process counts per user Disable and blacklist USB drivers for security Basic Competencies: Basic knowledge of VMware virtualization Familiarity with storage concepts Exposure to monitoring tools (any standard solution) Basic understanding of AWS Cloud If you are passionate about Linux systems and enjoy solving complex technical problems, we d love to hear from you.

Full Stack Developer Location: Mumbai Experience: 3 to 6 Years Qualification: Graduate Employment Type: Full-time About the Role We are looking for a highly skilled and passionate Full Stack Software Engineer to join our growing technology team. The ideal candidate will have deep expertise in Python (Django/FastAPI) on the backend, solid hands-on experience with ReactJS on the frontend, and familiarity with MongoDB and SQL databases. This role is ideal for someone who enjoys building scalable systems, designing REST APIs, and delivering full-cycle web solutions from development to deployment. Key Responsibilities Backend Development Develop scalable backend services using Python and frameworks like Django or FastAPI. Design and implement RESTful APIs that are secure, well-documented, and performance-optimized. Create and maintain automated tests for APIs (using Postman, pytest, etc.). Frontend Development Build interactive, user-centric UIs using ReactJS, including API integration, component-based architecture, and state management. Database Management Work with both MongoDB (NoSQL) and SQL (PostgreSQL/MySQL) databases. Design schemas, optimize queries, and ensure high data integrity and performance. DevOps & Cloud Deployment Deploy applications using Docker and manage deployments on AWS (EC2, S3, RDS, Lambda, etc.). Work with CI/CD pipelines to automate testing and deployment workflows. Monitoring & Logging Use tools such as ELK Stack, Prometheus, Grafana, or AWS CloudWatch for monitoring application health and logs. Support production environments, debug issues, and ensure application uptime. Collaboration & Best Practices Work closely with product managers, QA engineers, and designers to deliver features on time. Conduct peer code reviews, write clean and maintainable code, and follow secure coding practices. Required Skills Technical Proficiency Strong command of Python, especially with Django or FastAPI. Frontend development with ReactJS. Experience in REST API design and implementation. Proficient in MongoDB, PostgreSQL, or MySQL. Knowledge of ORMs, query tuning, and schema design. DevOps & Cloud Hands-on experience with AWS services. Experience with Docker and CI/CD pipelines. Testing & Monitoring Familiarity with Postman, pytest, and logging tools (e.g., ELK, Prometheus, Grafana). Soft Skills Strong problem-solving and debugging capabilities. Solid understanding of data structures and algorithms. Effective communication and team collaboration skills. Comfortable using Git and standard version control workflows. Preferred Tools & Technologies Languages/Frameworks: Python (Django/FastAPI), ReactJS, JavaScript Databases: MongoDB, PostgreSQL, MySQL Cloud/DevOps: AWS (EC2, S3, RDS, Lambda), Docker, CI/CD Tools: Postman, Git, ELK, Prometheus, Grafana Be part of a collaborative and fast-paced engineering team Build products that scale and impact users directly Opportunity to work with the latest technologies in cloud, DevOps, and frontend/backend stacks If you're a proactive developer who thrives in solving real-world problems through scalable software solutions, we d love to hear from you. Qualification : Graduate

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

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 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.

Job Title: Linux System Administrator Location: Mumbai Employment Type: Full-Time Experience Required: Minimum 2 Years Salary: 7.5 LPA Position Overview: We are looking for a dedicated and knowledgeable Linux System Administrator to join our IT team in Mumbai. The ideal candidate will have at least 2 years of experience managing Linux-based systems, servers, and infrastructure in a production environment. Key Responsibilities: Install, configure, and maintain Linux servers and systems Monitor system performance, availability, and security Manage server updates, patching, and backups Troubleshoot and resolve system, network, and application issues Configure and manage services like Apache, Nginx, MySQL, FTP, SSH, etc. Implement system hardening, firewalls, and access control policies Automate routine tasks using shell scripting or other tools Required Skills & Qualifications: Strong experience with Linux distributions (Red Hat, CentOS, Ubuntu, etc.) Familiarity with system monitoring tools (Nagios, Zabbix, etc.) Proficiency in shell scripting (Bash, Python is a plus) Knowledge of networking protocols and security best practices Experience with virtualization and cloud environments is an advantage Ability to work independently and solve problems effectively Preferred: Linux certification (RHCSA/RHCE or equivalent) is a plus Experience with Ansible, Docker, or Kubernetes

Data Scraping Specialist Location: Mumbai Company: Qube Research & Technologies (QRT) Job Type: Full-Time About QRT Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating in all major liquid asset classes. We are a data and technology-driven firm applying a scientific and collaborative approach to investing. By integrating data science, engineering, and quantitative research, we solve complex financial challenges and deliver robust investment strategies. Role Overview As a Data Scraping Specialist, your primary objective will be to design, develop, and maintain scalable web scraping systems to support QRT s quantitative research and trading efforts. You will be responsible for managing a diverse range of data sources and working closely with researchers and traders to ensure seamless data availability and integration. Key Responsibilities Web Scraping Development: Build and maintain robust, scalable web scraping tools to extract structured and unstructured data from diverse online sources. Data Integration: Contribute to integrating internal and third-party datasets into QRT s research and trading platforms. Monitoring & Maintenance: Monitor data pipelines, ensure data health, and address failures or inconsistencies in data ingestion workflows. User Support: Collaborate with quantitative researchers and traders to understand their data requirements and provide customized data solutions. Best Practices: Apply software engineering best practices, including code quality, version control, and modular design, to scraping systems. Requirements & Qualifications Experience: 4+ years of hands-on experience in developing and maintaining web scraping frameworks. Proven ability to handle complex scraping projects at scale. Technical Skills: Strong Python proficiency is essential. Experience with scraping tools and libraries (e.g., Scrapy, Selenium, BeautifulSoup, Puppeteer). Familiarity with headless browser automation and CAPTCHA-solving techniques. Working knowledge of RESTful APIs and data pipelines. Soft Skills: Strong communication skills in English, both verbal and written. Ability to work independently and collaboratively across global teams. Demonstrated intellectual curiosity and willingness to learn new technologies. Bonus Points: Experience handling structured and unstructured data at scale. Knowledge of financial market data, including equities or derivatives. Familiarity with version control (e.g., Git), Docker, and cloud infrastructure. What QRT Offers An opportunity to work at the intersection of technology, data, and finance in a high-impact role. A collaborative and innovation-driven environment where your ideas are valued. Professional growth with access to new technologies and research applications. Competitive compensation and benefits tailored to attract top-tier talent. Work-life balance initiatives and a commitment to diversity and inclusion.

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.

Principal Engineer Location: Mumbai, India (roles in Andheri East and / or Turbhe) Description We re hiring a Principal Engineer to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding 1.8 billion, and boasts total portfolio sales of over 500 million. The role We re hiring Principal Engineers and Lead Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across Blenheim Chalcot portfolio businesses. These are great opportunities for someone who thrives in hands-on build mode, demonstrates high-impact leadership, and who can scale delivery without losing speed, quality, or ownership. As a key member of our Software Engineering team, you will be instrumental in leading, designing, developing, and deploying robust and scalable products. You will work in close collaboration with customers and cross functional teams in Mumbai and London, to deliver product-led delivery and solutions that really make a difference. Behaviours that we look for Rigorous problem-solving and systems thinking. Decomposes complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures. Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start. Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring. Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery. Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact. Key responsibilities Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include: Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement. Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines. Provide technical guidance and expertise to the team, promoting best practices in engineering. Collaborate with cross-functional teams to understand requirements and deliver effective solutions. Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture. Ensure data integrity and quality across various data sources. Support data-driven decision-making by providing clean, reliable, and timely data. Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data. Conduct exploratory data analysis to uncover patterns and trends. Identify opportunities for process improvement and drive continuous improvement in operations. Stay updated on industry trends, technologies, and best practices in engineering. Opportunity This role offers an excellent platform for experienced engineers to take their career to the next level. You will have the opportunity to make a significant impact on our product roadmap, contribute to scaling our technical capabilities, and work in a dynamic environment that values innovation and continuous learning. About you We are seeking to onboard candidates with a proven track record in engineering, demonstrating strong technical leadership skills and a passion for building high-quality, scalable products. Excellent teamwork, adaptability, and a strategic mindset are essential to being successful in this role. The Ideal Candidate Professional experience in engineering or full-stack software engineering. Proven experience in managing and developing junior engineers. Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java. Extensive experience with database systems, including SQL and NoSQL databases. In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.). Experience with CI/CD practices for data solutions. Proven ability to take ownership over outputs and drive complex data projects to completion. Highly adaptable and comfortable working in ambiguous, problem-solving environments. Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales. Excellent communication, leadership, and collaboration skills. Process We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with a member of our Talent Acquisition team, followed by a meeting with representatives from BC's Engineering Centre of Excellence. Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

AI/ML Developer Location: Mumbai Experience: 5+ years Key Responsibilities: AI/ML Solutions Development: Develop, deploy, and maintain scalable AI/ML solutions tailored to the healthcare industry. Data Preprocessing & Structuring: Collaborate with data engineers and analysts to preprocess, clean, and structure healthcare data for machine learning applications. Model Design & Implementation: Design and implement machine learning models for real-world healthcare challenges like patient readmission prediction, disease progression modeling, and medical image analysis. Production Integration: Integrate AI/ML solutions into production environments, ensuring models are efficient, reliable, and meet client goals. Client Collaboration: Work with healthcare clients to define project requirements and KPIs, ensuring the solution brings measurable value. AI/ML Advancements: Stay up to date with the latest advancements in AI/ML, particularly in healthcare, and integrate new techniques to improve solutions. Regulatory Compliance: Ensure all AI/ML applications meet healthcare regulations (e.g., HIPAA, GDPR) and maintain high standards for patient data privacy and security. Model Monitoring & Optimization: Monitor, fine-tune, and update models post-deployment to maintain optimal performance and adapt to evolving healthcare data. Requirements: Experience: 5+ years in AI/ML, deep learning, and machine learning applications, preferably in the healthcare industry. Technical Skills: Proficiency in Python and/or R, with experience in ML libraries like TensorFlow, PyTorch, Scikit-Learn, etc. Healthcare Data Expertise: Strong understanding of healthcare data types and sources (e.g., EHR/EMR data, claims data, imaging data, genomics). Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, Google Cloud) and deploying ML models in these environments. Healthcare ML Use Cases: Experience in healthcare-specific ML use cases such as patient outcome predictions, medical image classification, and NLP for clinical notes. Regulatory Knowledge: Strong understanding of healthcare privacy and regulatory standards (e.g., HIPAA, GDPR). Communication Skills: Excellent problem-solving, analytical, and communication skills, with the ability to convey complex technical ideas to non-technical stakeholders. Shift Flexibility: Ready to work in shifts to accommodate the global nature of healthcare projects. If you're passionate about developing impactful AI/ML solutions in the healthcare industry and have the required expertise, apply now for the AI/ML Developer position in Mumbai!

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

Associate Consultant - Fresher Experience: 0-2 Years Location: Anywhere in Mumbai Role: Associate Consultant - Fresher Qualification: Bachelor of Engineering or Master's degree in Engineering, M.Tech in Cyber Security / Digital Forensic. Any graduate with good knowledge in Information Technology / Cyber Security. Job Description: Selected candidates must be ready to work on any one or multiple technologies as mentioned below as per requirement but not limited to: Management / implementation / troubleshooting of security products such as antivirus, proxy, firewall, ids/ips, etc. Work on networking products like configuration or troubleshooting of router, switches or firewalls. Monitoring of security incidents in 24x7 rotational shifts in SOC. Vulnerability assessment and penetration testing. Operating systems / Applications patch management. Assist in ISO27001 compliance, internal audits, external audits, policy review and preparation, etc. Work as an incident response team member at client location. Information security device management and monitoring. Hardening of Servers / Applications. Domain controller Administration / Windows Administration. Linux Administration. Demonstration and Presales activities in information security products. Preferred Skills (not mandatory): Sound knowledge of network security topics. Knowledge of Cyber security, different types of attacks and vulnerabilities. Should have good writing and communication skills. Strong analysis, organizational and documentation skills. Flexibility and adaptability to change. Preferred Certifications / Trainings (not mandatory): Certified Ethical Hacker (CEH) CCNA, CCNP Knowledge/Experience of SIEM, Networking, Compliance standard like ISO27001 Other security certifications will be considered an asset Knowledge of Operating systems like Microsoft Windows, Linux Knowledge of applications like Oracle, MS SQL, etc. Knowledge of cloud technologies / Information security products Qualification : Bachelor of Engineering or Master's degree in Engineering, M.Tech in Cyber Security / Digital Forensic.

About Us At Quantiphi, technology is the foundation of our business, but our true strength lies in our global and diverse culture. We take pride in fostering an environment built on transparency, diversity, integrity, continuous learning, and growth. If you re looking for a workplace that encourages innovation and supports your growth both professionally and personally Quantiphi is the perfect fit for you. Role & Responsibilities As a Looker Developer, you will play a key role in building and maintaining data models, developing impactful visualizations, and ensuring optimal performance of our Looker platform. You will collaborate with stakeholders to transform complex data into actionable insights, empowering teams to make data-driven decisions. Key Responsibilities: Create and maintain LookML code to define data models, dimensions, measures, and relationships within Looker. Develop reusable LookML components to streamline and standardize dashboard creation. Design and customize dashboards with effective data visualizations (charts, graphs, etc.) to present insights clearly. Write complex SQL queries to extract and manipulate data as needed, optimizing for performance. Identify and resolve performance bottlenecks impacting report and dashboard loading times. Optimize Looker performance through query tuning, caching strategies, and exploring indexing options. Configure user roles and permissions to manage access and enforce data security best practices (including row-level and field-level security). Leverage Looker APIs, SDKs, and the extension framework where necessary to build custom solutions. Use version control tools like Git to manage LookML code changes and collaborate with development teams. Provide training and support to business users, enabling them to effectively leverage Looker for their analysis needs. Troubleshoot and resolve technical issues related to data models, reports, and dashboards. Skills & Experience Required Hands-on experience with LookML and a strong understanding of Looker s data modeling framework. Strong SQL skills with the ability to write and optimize queries across different SQL dialects (preferably GCP/BigQuery). Knowledge of data modeling best practices and practical experience in building efficient data models. Proficiency in ETL processes for data transformation and preparation. Ability to design visually compelling and user-friendly dashboards within Looker. Performance tuning expertise, including query optimization, caching strategies, and indexing. Familiarity with related tools such as BigQuery, Apache Spark, and Python for data transformations. Strong analytical and problem-solving capabilities. Knowledge of data governance principles to ensure data quality, privacy, and compliance. Excellent understanding of advanced Looker features such as liquid variables, complex derived tables, caching, and PDTs (Persistent Derived Tables). Strong troubleshooting skills to identify root causes and effectively resolve issues related to data modeling, queries, and dashboards. Willingness to stay updated with the latest features and advancements in Looker and data analytics. Nice to Have Experience creating end-to-end documentation for data models, processes, and reports. Familiarity with cloud platforms (GCP, AWS, or Azure) and their data ecosystems. Exposure to advanced scripting for automation and monitoring within the BI environment. If you re excited about working in a fast-paced, collaborative environment with a team of enthusiastic over-achievers, Quantiphi is the place to be!

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!

DevOps Engineer Location: Mumbai (On-site/Hybrid/Remote) Job Type: Full-time Experience: 4+ Years About the Role We are seeking a talented and proactive DevOps Engineer with 4+ years of experience to join our team in Mumbai. The ideal candidate will be skilled in automating, monitoring, and maintaining infrastructure and deployments to ensure continuous integration, continuous delivery, and a smooth deployment pipeline. You will work closely with development and IT teams to streamline processes and improve system reliability and scalability. Key Responsibilities Implement and manage CI/CD pipelines for faster and more reliable software releases. Automate infrastructure provisioning and configuration management using tools such as Terraform, Ansible, or Puppet. Monitor system performance and ensure high availability, scalability, and security of applications. Collaborate with development teams to design, deploy, and scale applications and systems. Manage cloud-based infrastructure (AWS, Azure, GCP) and on-premise resources. Troubleshoot and resolve infrastructure-related issues, performance bottlenecks, and failures. Ensure efficient use of resources and implement cost-saving practices. Maintain and improve deployment workflows and release management. Required Qualifications 4+ years of experience in a DevOps or Systems Engineering role. Strong knowledge of Linux/Unix systems and scripting languages (Bash, Python, etc.). Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Hands-on experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.). Familiarity with monitoring tools like Prometheus, Grafana, Nagios, or similar. Strong understanding of version control systems (Git, GitHub, GitLab). Knowledge of networking concepts, firewalls, and security best practices. Preferred Qualifications Experience with microservices architecture and serverless frameworks. Familiarity with configuration management tools (Ansible, Chef, SaltStack). Knowledge of Agile/Scrum methodologies. Experience with database management (SQL/NoSQL) and data pipeline automation. Competitive salary and benefits package. A dynamic and collaborative work environment. Exposure to cutting-edge technologies in a fast-paced industry. Opportunities for career growth and professional development.

About Seclore At Seclore, we are entrepreneurs, not employees a passionate team solving complex problems with cutting-edge, patent-pending technology. We challenge the status quo, take on industry giants, and thrive on meritocracy and innovation. Recognized as a "Great Place to Work" in both India and the USA, we take pride in building a culture of risk-taking, learning, and impact. Seclore is a global leader in Data-Centric Security, protecting highly confidential information across Fortune 100 companies, nuclear projects, and pharmaceutical innovations. Our award-winning technology enables organizations to control how their data is used even after sharing it externally. The Role We are seeking a highly skilled Cloud Architect to design, implement, and optimize our cloud infrastructure with a strong focus on security. This role demands strategic thinking, hands-on expertise, and collaboration with cross-functional teams to ensure scalable, resilient, and secure cloud solutions. Key Responsibilities Design & Optimize Cloud Infrastructure: Architect secure and scalable cloud solutions. Automation & DevOps: Implement automated cloud solutions using industry-standard tools. Monitoring & Security: Manage cloud monitoring, alerting systems, and security integrations. Incident Response & Ops Management: Define operational support processes and ensure adherence to policies. Collaboration: Work closely with SOC teams to integrate cloud security into overall operations. Cost Optimization: Implement strategies to optimize cloud expenses while maintaining performance. Minimum Qualifications Technical Degree: Engineering or MCA from a reputed institute. Experience: 8+ years in cloud technologies, 5+ years in AWS. Cloud Expertise: Proven experience managing multiple AWS production workloads. Scripting: Proficiency in Python & Bash. Containerization: Experience with Docker, Kubernetes, and their security implications. IaC & Automation: Hands-on experience with Terraform/CloudFormation. Security-Focused: Strong understanding of secure cloud architecture & DevSecOps practices. Certifications (Preferred): AWS Certified Solutions Architect / Security Specialty. Work on Industry-Leading Security Tech Collaborate with Global Enterprises Innovate & Solve Real-World Problems Competitive Salary & Benefits Be part of a team shaping the future of data security! Qualification : A technical degree (Engineering, MCA) from a reputed institute.

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