Cloud Devops Jobs in Mumbai

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

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

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.

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!

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

Job Title: 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

Position Title: Senior Software Engineer Position Summary: We are seeking a highly skilled Senior Software Engineer with a strong background in Java or the MERN stack (MongoDB, Express.js, React.js, Node.js). The ideal candidate will have 4-6 years of hands-on experience in developing and maintaining applications, and will play a key role in designing, developing, and deploying software applications. The Senior Software Engineer will collaborate with cross-functional teams to create scalable and efficient software solutions. Key Responsibilities: Software Development: Design, develop, and maintain large-scale software applications using Java or the MERN stack. Collaboration: Work closely with cross-functional teams to define, design, and implement new features. Design Ownership: Take ownership of high-level and low-level designs for each software application. Code Reviews: Conduct code reviews and provide constructive feedback to team members to ensure code quality and best practices. Performance Optimization: Troubleshoot, debug, and optimize existing applications for performance and scalability. Mentorship: Mentor and guide junior developers, helping them grow their skills and contributing to team knowledge. Stakeholder Collaboration: Work with product managers and other stakeholders to understand requirements and deliver optimal solutions. Continuous Learning: Stay up to date with new technologies and trends, acquiring certifications as needed to meet project demands. AI/ML Exposure: Any exposure or experience with AI, ML, or Data Science will be an additional advantage. Required Skills and Qualifications: Proficiency in Java/MERN Stack: Strong experience in designing, developing, and maintaining software applications using Java, Python, or Node.js. Front-End Development: Expertise in React.js (knowledge of Angular is an added advantage). Database Knowledge: Experience with RDMS (Oracle, SQL Server, Postgres) and NoSQL databases like MongoDB. Web Technologies: Proficiency in HTML, CSS, JavaScript, and front-end frameworks. Open-Source Technologies: Extensive experience working with open-source technologies. DevOps & Cloud Knowledge: Well-versed in DevOps practices, cloud deployment (AWS, Azure), and cloud PaaS. Database Management Tools: Knowledge of database management tools like Liquibase or Hibernate is preferable. Version Control: Familiarity with Git and containerization tools like Docker. Software Development Lifecycle: Strong understanding of software development lifecycle processes and methodologies. Communication Skills: Excellent written and verbal communication skills to collaborate effectively within teams and with stakeholders. Cross-Functional Teamwork: Ability to work effectively in a cross-functional environment. AI/ML Advantage: Exposure to AI/ML frameworks (e.g., Keras, Pytorch, Scikit-learn) is a plus. Statistical & Mathematical Modeling: Knowledge of statistical analysis and mathematical modeling concepts is a plus. Education and Experience: Bachelor s Degree in Computer Science, Information Technology, Electronics, Communication, or related fields. Candidates with a degree in other branches of engineering but with proven skills through past experience/projects are also encouraged to apply. Additional Information: Experience Level: 4-6 years of relevant experience in software development. Certifications: Willingness to acquire certifications in new technologies as required by projects. Qualification : Bachelors Degree in Computer Science, Information Technology, Electronics, Communication, or related fields.

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

about the role DevOps Engineer with experience in developing, automating and debugging digital CI/CD pipelines with help of verity of automation tools and technology on Public Cloud. key responsibilities This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other. Be the first one to experiment on new age cloud offerings, help define the best practise as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels Continually augment skills and learn new tech as the technology and client needs evolve Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers Provide leadership to project teams, and facilitates the definition of project deliverables around core Cloud based technology and methods Define tracking mechanisms and ensure IT standards and methodology are met; deliver quality results Participate in technical reviews of requirements, designs, code and other artifacts Identify and keep abreast of new technical concepts in google cloud platform Security, Risk and Compliance - Advise customers on best practices around access management, network setup, regulatory compliance and related areas preferred qualifications Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So unfortunately we might have to look for the Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better. We will find you faster if you specify the latter in some manner. Not just degree, but we are not too thrilled by tech certifications too ... :) To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong desire to deliver' outlives those fancy degrees! 5 - 10 years of experience with at least 2 - 3 years of hands-on experience in Cloud Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise environment Good analytical, communication, problem solving, and learning skills Knowledge on programming against cloud platforms such as Google Cloud Platform and lean development methodologies

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

Main Purpose of Role: The Senior Electronic Data Systems Engineer is an individual contributor with extensive expertise in electronic data systems. This role requires the execution of highly specialized and complex tasks, drawing on years of experience and specialized training. The individual is responsible for designing, developing, implementing, and updating electronic data systems that align with organizational needs. Main Responsibilities: 1. Complex Design and Development: Independently develop complex designs for units, code, and test systems, applying industry standards while adapting established processes to address unique challenges. 2. Documentation and Standards Compliance: Ensure thorough documentation of work in accordance with organizational standards. Provide guidance to junior colleagues on following established procedures and best practices. 3. Building Robust Modules: Contribute to the creation of robust modules that meet advanced design specifications, ensuring reliability, scalability, and alignment with organizational goals.

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: Security Automation 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 security automation or relevant role) Role Overview We are looking for a Security Automation Engineer with a strong foundation in scripting, system administration, and security tooling. In this role, you'll be responsible for automating key security functions, integrating security tools with enterprise systems, and enabling security visibility across infrastructure through dashboards and reporting. If you re passionate about automating security operations and building scalable security workflows, we want to hear from you. Key Responsibilities Security Tooling Implementation: Evaluate and implement new security tools and technologies aligned with organizational needs. Tool Integration & Automation: Automate security operations by integrating various tools and platforms using APIs, custom scripts, and automation frameworks. Ticketing System Integration: Link security tools with ITSM/ticketing platforms to streamline incident and alert workflows. Dashboard & KPI Automation: Develop scripts/tools for automated generation of security dashboards and KPI reports. CI/CD Security Integration: Collaborate with DevSecOps teams to build and enhance secure CI/CD pipelines, embedding security controls into the SDLC. Internal Enablement & Training: Provide internal training and documentation to help teams safely adopt and manage automation scripts. Cross-Functional Collaboration: Work closely with IT, DevOps, and security teams to ensure effective and secure automation implementations. Required Skills & Experience Technical Skills: Scripting & Automation: Hands-on experience with scripting languages such as PowerShell, Shell, Python, Perl, Ruby, Go, Groovy, and Helm. Tooling & Integration: Experience in automating and integrating tools through REST APIs, CLI, or other interfaces. System Administration: Proficiency in UNIX/Linux environments installation, configuration, and troubleshooting. Networking Fundamentals: Strong understanding of OSI layers, TCP/IP, and general networking concepts. Application Stack Management: Exposure to application servers like Tomcat, JBoss, Apache, NGINX, and Ruby, etc. Programming Background (Basic): Ability to write and understand code for automation and tool integration. Preferred Qualifications Bachelor s or Master s in Computer Science, Information Security, or a related technical field. Prior experience in security automation, DevSecOps, or security operations. Exposure to CI/CD environments and security tooling within development pipelines. Core Competencies Problem-Solving: Ability to break down complex security tasks and automate them efficiently. Collaboration: Strong team player with experience working across departments. Communication: Effective verbal and written skills, especially for internal knowledge sharing. Security Mindset: Proactive approach to improving security posture through automation. Be part of a modern security team driving automation-first security operations. Work with cutting-edge tools and cloud environments. Collaborate with skilled professionals in a cross-functional setup. Opportunity to create impact by improving security visibility and efficiency. Competitive compensation and 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.

Engineering Manager Experience: 10+ Years Location: Mumbai Type: Full-Time About Fynd Fynd is India s largest omnichannel retail platform and a multi-platform technology company at the forefront of AI, ML, big data, and retail innovation. Serving over 2,300 brands, we offer a unified system that empowers businesses to streamline online and offline sales, manage inventory, enhance store operations, and elevate customer engagement. Role Overview We re looking for a dynamic Engineering Manager who can lead by example writing scalable, performant code while mentoring high-performing teams. Beyond traditional engineering leadership, we value individuals who embrace AI as a development accelerator, using tools like GitHub Copilot, Cursor, and ChatGPT to enhance productivity across coding, testing, and documentation. As an Engineering Manager at Fynd, you ll take ownership of end-to-end architecture, build web applications, and manage teams across backend and frontend technologies. You ll also play a key role in shaping our cloud-native infrastructure on AWS. Key Responsibilities Lead, mentor, and grow a team of backend and frontend engineers, encouraging innovation and ownership. Architect, design, and deliver scalable backend systems using Node.js and Python. Build responsive and secure frontend applications with React.js, ensuring seamless integration with backend services. Leverage AI tools (e.g., GitHub Copilot, GPT-4, Cursor) to accelerate development cycles scaffolding, testing, debugging, and documenting code. Manage cloud infrastructure on AWS including Lambda, EC2, S3, RDS, API Gateway, etc. Design and optimize databases with MongoDB and PostgreSQL, ensuring performance and reliability. Define and implement engineering best practices across CI/CD, code reviews, testing, security, and deployment. Collaborate cross-functionally with product managers, designers, and DevOps to ship impactful features. Proactively monitor system performance, troubleshoot production issues, and ensure high system availability. Stay on top of emerging technologies and trends to drive continuous improvement within the team and the organization. Requirements Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 10+ years of hands-on software development experience, including 3+ years in engineering leadership. Expertise in Node.js, Python, and React.js. Strong experience in MongoDB, PostgreSQL, and scalable data modeling. Proven track record in cloud-native architecture and microservices, with hands-on AWS experience. Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes. Excellent problem-solving skills and ability to make sound technical decisions. Strong communication, mentorship, and team-building skills. Experience in leading engineering teams in high-growth, fast-paced environments. Growth: We re growing fast across products, markets, and technologies. As a part of Fynd, you ll have opportunities to lead new initiatives, expand into leadership roles, and be part of a company that invests in your growth. Flex University & Learning Wallet: Access in-house courses to upskill or pursue external certifications with full reimbursement your learning is our priority. Culture: Team bonding, events, and celebrations are part of our rhythm weekly, quarterly, and annual. Wellness: Comprehensive Mediclaim for you, your spouse, kids, and parents. Access to licensed therapists to support mental health and work-life balance. Work Culture We work from our Mumbai office 5 days a week to foster collaboration and team synergy. If you re excited to build, lead, and innovate at the intersection of tech and AI we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field