Cloudwatch Jobs in Mumbai

Infrastructure Support Engineer - AWS 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 across all liquid asset classes worldwide. We combine data, research, technology, and trading expertise to solve complex challenges through a scientific investment approach. Our culture of innovation and collaboration drives us to deliver high-quality returns for our investors. Role Overview As an Infrastructure Support Engineer (AWS), you will be instrumental in maintaining, optimizing, and securing QRT s cloud infrastructure. You will collaborate closely with development teams, DevOps, and system administrators to ensure the seamless operation of cloud-based applications and services critical to business success. Key Responsibilities Maintain a highly available, scalable, and secure AWS cloud infrastructure. Diagnose and resolve complex AWS infrastructure issues efficiently and proactively. Develop automation scripts using Terraform, CloudFormation, and other infrastructure-as-code tools. Monitor cloud infrastructure performance and optimize cost-effectiveness. Collaborate with development teams to support deployment and operation of applications on AWS. Evaluate and recommend emerging cloud technologies to enhance reliability, scalability, and security. Required Skills & Experience Extensive hands-on experience with AWS services including EC2, S3, VPC, IAM, CloudWatch, and others. Proficiency in scripting languages such as Python and Bash for automation and troubleshooting. Practical experience with configuration management and IaC tools like Ansible and Terraform. Familiarity with containerization and orchestration technologies such as Docker, ECS, and Kubernetes. Strong problem-solving skills with the ability to diagnose software errors, configuration issues, and incidents independently. Experience working within Agile development environments. Solid background in administering and troubleshooting Linux and Windows operating systems. A dynamic work environment driven by innovation and collaboration. Opportunities to work on cutting-edge cloud infrastructure in a quantitative finance setting. Professional development, certifications, and continuous learning support. Competitive compensation and comprehensive benefits. Commitment to work-life balance and employee well-being. Equal Opportunity Statement QRT is an equal opportunity employer. We embrace diversity and empower employees to work openly and respectfully to achieve collective success. Our initiatives promote professional achievement alongside a healthy work-life balance.

Infrastructure Support Analyst - AWS 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 across all major liquid asset classes worldwide. We are a technology- and data-driven firm applying a scientific approach to investing. Our culture of collaboration and innovation empowers us to solve complex challenges and deliver superior results for our investors. Role Overview As an Infrastructure Support Analyst (AWS), you will play a critical role in maintaining, supporting, and optimizing QRT s cloud infrastructure. You will work closely with trading, research, and business teams to ensure reliable and scalable cloud services that underpin our technology platform. Key Responsibilities Cloud Infrastructure Management: Design, build, and support cloud-based services primarily on AWS to enable robust trading, research, and business operations. Cross-Team Collaboration: Partner with traders, researchers, and business stakeholders to drive cloud adoption and resolve infrastructure-related challenges. Cloud-First Problem Solving: Implement scalable, secure, and efficient solutions with a cloud-first mindset. Support Critical Infrastructure: Maintain essential systems supporting research technology, trading platforms, market execution, and data processing pipelines. Required Skills & Experience Minimum 2 years of hands-on experience with AWS, including core services such as EC2, S3, VPC, IAM, and Lambda. Strong scripting ability in Python and Bash to automate cloud operations and infrastructure tasks. Familiarity with containerization and orchestration tools like Docker, ECS, and Kubernetes. Experience with configuration management and infrastructure as code tools such as Ansible and Terraform. Working knowledge of Linux and Windows operating systems. Passion for infrastructure engineering and platform support in fast-paced environments. Excellent problem-solving aptitude combined with strong business analytics skills. Preferred Qualifications Certifications such as AWS Certified Solutions Architect, AWS SysOps Administrator, or Linux certifications are a plus. Prior experience supporting infrastructure in trading or financial services environments is advantageous. Opportunity to work with cutting-edge cloud technologies in a high-impact quantitative finance setting. Collaborative and inclusive work culture emphasizing innovation and teamwork. Professional growth and continuous learning opportunities. Competitive salary and comprehensive benefits. Initiatives promoting work-life balance and employee well-being.

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

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