1007 Cloud Infrastructure Jobs - Page 14

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

*Design, deploy, and manage cloud infrastructure solutions. *Monitor cloud-based systems to ensure performance, reliability, and security. *Automate processes to streamline operations and reduce manual tasks. Required Candidate profile Experience in Linux System Administration Exposure to AWS /Azure cloud platforms Knowledge of scripting languages like Python, Bash, or similar Understanding of CI/CD pipelines and DevOps practices

About the Team When 5% of Indian households shop with us, its important to build resilient systems to manage millions of orders every day. Weve done this with zero downtime! ?? Sounds impossible? Well, thats the kind of Engineering muscle that has helped Meesho become the e-commerce giant that it is today. We value speed over perfection, and see failures as opportunities to become better. Weve taken steps to inculcate a strong Founders Mindset across our engineering teams, making us grow and move fast. We place special emphasis on the continuous growth of each team member - and we do this with regular 1-1s and open communication. As Engineering Manager, you will be part of self-starters who thrive on teamwork and constructive feedback. We know how to party as hard as we work! If we arent building unparalleled tech solutions, you can find us debating the plot points of our favourite books and games or even gossipping over chai. So, if a day filled with building impactful solutions with a fun team sounds appealing to you, join us. About the Role We are looking for a seasoned Engineering Manager well-versed with emerging technologies to join our team. As an Engineering Manager, you will ensure consistency and quality by shaping the right strategies. You will keep an eye on all engineering projects and ensure all duties are fulfilled. You will analyse other employees tasks and carry on collaborations effectively. You will also transform newbies into experts and build reports on the progress of all projects. What you will do Design tasks for other engineers, keeping Meeshos guidelines and standards in mind Keep a close look on various projects and monitor the progress Drive excellence in quality across the organisation and solutioning of product problems Collaborate with the sales and design teams to create new products Manage engineers and take ownership of the project while ensuring product scalability Conduct regular meetings to plan and develop reports on the progress of projects What you will need Bachelor's / Masters in computer science At least 8+ years of professional experience At least 4+ years experience in managing software development teams Experience in building large-scale distributed Systems Experience in Scalable platforms Expertise in Java/Python/Go-Lang and multithreading Good understanding on Spark and internals Deep understanding of transactional and NoSQL DBs Deep understanding of Messaging systems Kafka Good experience on cloud infrastructure - AWS preferably Ability to drive sprints and OKRs with good stakeholder management experience. Exceptional team managing skills Experience in managing a team of 4-5 junior engineers Good understanding on Streaming and real time pipelines Good understanding on Data modelling concepts, Data Quality tools Good knowledge in Business Intelligence tools Metabase, Superset, Tableau etc. Good to have knowledge - Trino, Flink, Presto, Druid, Pinot etc. Good to have knowledge - Data pipeline building

Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote What do you need for this opportunity? Must have skills required: ML, Python Looking for: Were looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI while integrating visual AI pipelines built by ML engineers. Youll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You wont be working in a silo this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined. (Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.) What Youll Do Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2. Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2 Contribute to React/TypeScript frontend when needed to accelerate product delivery Work closely with the founder, product, and UX team to translate business needs into working product Make architecture and infrastructure decisions from media processing to task queues to storage Own the performance, reliability, and cost-efficiency of our core services Hire and mentor junior/mid engineers over time Drive technical planning, sprint prioritization, and trade-off decisions A customer-centric approach you think about how your work affects end users and product experience, not just model performance A quest for high-quality deliverables you write clean, tested code and debug edge cases until theyre truly fixed The ability to frame problems from scratch and work without strict handoffs you build from a goal, not a ticket. Skills & Experience We Expect Core Engineering Experience 6-8 years of professional software engineering experience in production environments 2-3 years of experience leading engineering teams of 5+ engineers Cloud Infrastructure & AWS Expertise (5+ years) Deep experience with AWS Lambda, ECS, and container orchestration tools Familiarity with API Gateway and microservices architecture best practices Proficient with S3, DynamoDB, and other AWS-native data services CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems Strong grasp of IAM, roles, and security best practices in cloud environments Backend Development (5-7 years) Java: Advanced concurrency, scalability, and microservice design Python: Experience with FastAPI, building production-grade MLops pipelines Node.js & TypeScript: Strong backend engineering and API development Deep understanding of RESTful API design and implementation Docker: 3+ years of containerization experience for building/deploying services Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) 2+ years System Optimization & Middleware (3-5 years) Application performance optimization and AWS cloud cost optimization Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions) Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV Database design and optimization for low-latency and high-availability systems Frontend Development (2-3 years) Hands-on experience with React and TypeScript in modern web apps Familiarity with Redux, Context API, and modern state management patterns Comfortable with modern build tools, CI/CD, and frontend deployment practices System Design & Architecture (4-6 years) Designing and implementing microservices-based systems Experience with event-driven architectures using queues or pub/sub Implementing caching strategies (e.g., Redis, CDN edge caching) Architecting high-performance image/media pipelines Leadership & Communication (2-3 years) Proven ability to lead engineering teams and drive project delivery Skilled at writing clear and concise technical documentation Experience mentoring engineers, conducting code reviews, and fostering growth Track record of shipping high-impact products in fast-paced environments Strong customer-centric and growth-oriented mindset, especially in startup settings able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster.

About the Role As DevOps Engineer - IV, you will design systems capable of serving as the brains of complex distributed products. In addition, you will also closely mentor younger engineers on the team and contribute to team building.Overall, you will be a strong technologist at Meesho who cares about code modularity, scalability, re-usability. What you will do Develop reusable Infrastructure code and testing frameworks for Infrastructure. Develop tools and frameworks to allow Meesho engineers to provision and manage Infrastructure access controls. Design and develop solutions for cloud security, secrets-management and key rotations. Design a centralized logging and metrics platform that can handle Meeshos scale. Take on new Infrastructure requirements and develop infrastructure code Work with service teams to help them onboard container platform. Scale the Meesho platform to handle millions of requests concurrently. Drive solutions to reduce MTTR and MTTD, enabling High Availability and Disaster Recovery. What you will need Must Have : Bachelors / Masters in Computer Science 8-12 years of in-depth and hands-on professional experience in DevOps /Systems Engineering domain Proficiency in Strong Systems, Linux, Open Source, Infra Structure Engineering, DevOps fundamentals. Proficiency on container platforms like Docker, Kubernetes, EKS/GKE, etc.Exceptional design and architectural skills Experience in building large scale distributed systems Experience in Scalable Systems - transactional systems (B2C) Expertise in Capacity Planning Design, cost and effort estimations and cost-optimisation Ability to deliver the best operations tooling and practices, including CI/CD In-depth understanding of SDLC Ability to write infrastructure as code for public or private clouds Ability to implement modern cloud Integration architecture Knowledge of configuration and infra management (Terraform) or CI tools (Any) Knowledge of coding languagePython, Go (proficiency in any one). Ability to architect and implement end-to-end monitoring of solutions in the cloud Ability to design for failover, high availability, MTTR, MTTD, RTO, RPO and so on Good to have : Good to have hands on experience on data processing frameworks(eg. Spark, Databricks) Familiar with Big Data Technologies. Experience with DataOps concepts and tools(eg. Airflow, Zeplin) Expertise in Security Hardening of cloud infrastructure application/web server against known/unknown vulnerabilities Understanding of compliance and security Ability to assess business needs and requirements to ensure appropriate approaches Ability to define and report on business and processes metrics Ability to balance governance, ownership and freedom against reliability Ability to develop and motivate individual contributors on the team

The Infrastructure Architect will lead the design, implementation, and optimization of collaborate with engineering, DevOps, product, compliance teams to create world-class infrastructure blueprints tailored to AI-driven microservice-based platforms Required Candidate profile Strong experience with distributed and cloud-native architecture design. Deep knowledge of compute, storage, networking, and cloud security in AWS/Azure/GCP .Expertise in container orchestration

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role. As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience. Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job Overview Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors. Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors. Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred. Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Job OverviewBranch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

Role & responsibilities Key Responsibilities: Administer, monitor, and optimize cloud environments and resources. Implement security measures and perform regular audits. Set up and manage virtual machines, storage, databases, and networks in the cloud. Automate deployment and scaling using tools like Terraform, CloudFormation, or ARM templates. Manage user access and permissions via IAM or equivalent. Troubleshoot issues and provide on-call support for cloud-related incidents. Maintain documentation and ensure best practices are followed. Requirements: 2+ years of experience as a Cloud Administrator or similar role. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with virtualization, networking, Linux/Windows administration. Experience with monitoring tools (CloudWatch, Azure Monitor, etc.). Knowledge of scripting (Python, Bash, PowerShell) is a plus. Relevant certifications (e.g., AWS SysOps Administrator, Azure Administrator) are highly desirable. Preferred candidate profile

As a DevOps Engineer, you will be responsible for bridging the gap between development and operations. You should have expertise in CI/CD pipelines, cloud infrastructure, automation, and monitoring. Experience with containerization, Kubernetes, and cloud platforms like AWS, Azure, or GCP is a plus. We follow Agile Methodology to ensure smooth and efficient deployments.

FICO (NYSEFICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential! The Opportunity As a part of FICOs highly modern and innovative analytics and decision platform, the Cyber-Security Engineer will help shape the next generation security for FICOs Platform. You will address cutting edge security challenges in a highly automated, complex, cloud & microservices driven environments inclusive of design challenges and continuous delivery of security functionality and features to the FICO platform as well as the AI/ML capabilities used on top of the FICO platform." VP of Engineering. What Youll Contribute Secure the design of next next-generation FICO Platform, its capabilities, and services. Support full-stack security architecture design from cloud infrastructure to application features for FICO customers. Work closely with product managers, architects, and developers on implementing the security controls within products. Develop and maintain Kyverno policies for enforcing security controls in Kubernetes environments. Collaborate with platform, DevOps, and application teams to define and implement policy-as-code best practices. Contribute to automation efforts for policy deployment, validation, and reporting. Stay current with emerging threats, Kubernetes security features, and cloud-native security tools. Implement required controls and capabilities for the protection of FICO products and environments. Build & validate declarative threat models in a continuous and automated manner. Prepare the product for compliance attestations and ensure adherence to best security practices. Provide expertise as a subject matter expert regarding edge services for public/private cloud information system controls related infrastructure, policy, and decision-making processes. Provide timely resolutions for security configuration or solutions in support of service availability. Work on problems of diverse scope where analysis of situation requires evaluation and troubleshooting including network packet analysis, Linux or Windows DNS, certificates lifecycle, logfile analysis, and related. What Were Seeking Strong knowledge and hands-on experience with Kyverno and OPA/Gatekeeper (optional but a plus). Experience in threat modeling, code reviews, security testing, vulnerability detection, attacker exploit techniques, and methods for their remediation. Hands-on experience with programming languages, such asJava, Python, etc. Experience of deploying services and securing cloud environments, preferably AWS Experience of deploying and securing containers, container orchestration and mesh technologies (such as EKS, K8S, ISTIO). Experience with Crossplane to manage cloud infrastructure declaratively via Kubernetes. Certifications in Kubernetes or cloud security (e.g., CKA, CKAD, CISSP) are desirable Ability to articulate complex architectural challenges with the business leadership and product management teams. Independently drive transformational security projects across teams and organizations. Experience with securing event streaming platforms like Kafka or Pulsar. Experience with ML/AI model security and adversarial techniques within the analytics domains. Hands-on experience with IaC (Such as Terraform, Cloudformation, Helm) and with CI/CD pipelines (such as Github, Jenkins, JFrog). Resourceful problem-solver skilled at navigating ambiguity and change. Customer-focused individual with strong analytical problem-solving skills and solid communication abilities. Our Offer to You An inclusive culture strongly reflecting our core valuesAct Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today Big Data analytics. Youll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide Credit Scoring FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security 4 billion payment cards globally are protected by FICO fraud systems. Lending 3/4 of US mortgages are approved using the FICO Score. Global trends toward digital transformation have created tremendous demand for FICOs solutions, placing us among the worlds top 100 software companies by revenue. We help many of the worlds largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people just like you who thrive on the collaboration and innovation thats nurtured by a diverse and inclusive environment. Well provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks! Learn more about how you can fulfil your potential at www.fico.com/Careers FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and were proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they dont meet all stated qualifications. While our qualifications are clearly related to role success, each candidates profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to theFICO Privacy policy at https://www.fico.com/en/privacy-policy

The Opportunity As a part of FICOs highly modern and innovative analytics and decision platform, the Cyber-Security Engineer will help shape the next generation security for FICOs Platform. You will address cutting edge security challenges in a highly automated, complex, cloud & microservices driven environments inclusive of design challenges and continuous delivery of security functionality and features to the FICO platform as well as the AI/ML capabilities used on top of the FICO platform." VP, Software Engineering . What Youll Contribute Secure the design of next generation FICO Platform, its capabilities and services. Support full-stack security architecture design from cloud infrastructure to application features for FICO customers. Work closely with product managers, architects and developers on the implementation of the security controls within products. Develop and maintain Kyverno policies for enforcing security controls in Kubernetes environments. Collaborate with platform, DevOps, and application teams to define and implement policy-as-code best practices. Contribute to automation efforts for policy deployment, validation, and reporting. Stay current with emerging threats, Kubernetes security features, and cloud-native security tools. Proof the security implementations within infrastructure & application deployment manifests and the CI/CD pipelines. Implement required controls and capabilities for the protection of FICO products and environments. Build & validate declarative threat models in continuous and automated manner. Prepare the product for compliance attestations and ensure adherence to best security practices. What Were Seeking 5+ years of experience in architecture, security reviews and requirement definition for complex product environments. Familiarity with industry regulations, frameworks, and practices. For example, PCI, ISO 27001, NIST, etc. Strong knowledge and hands-on experience with Kyverno and OPA/Gatekeeper (optional but a plus). Experience in threat modeling, code reviews, security testing, vulnerability detection, attacker exploit techniques, and methods for their remediation. Hands-on experience with programming languages, such asJava, Python, etc. Experience of deploying services and securing cloud environments, preferably AWS Experience of deploying and securing containers, container orchestration and mesh technologies (such as EKS, K8S, ISTIO). Ability to articulate complex architectural challenges with the business leadership and product management teams. Independently drive transformational security projects across teams and organizations. Experience with securing event streaming platforms like Kafka or Pulsar. Experience with ML/AI model security and adversarial techniques within the analytics domains. Hands-on experience with IaC (Such as Terraform, Cloudformation, Helm) and with CI/CD pipelines (such as Github, Jenkins, JFrog). Our Offer to You An inclusive culture strongly reflecting our core valuesAct Like an Owner, Delight Our Customers and Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. Why Make a Move to FICO At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today Big Data analytics. Youll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more. FICO makes a real difference in the way businesses operate worldwide Credit Scoring FICO Scores are used by 90 of the top 100 US lenders. Fraud Detection and Security 4 billion payment cards globally are protected by FICO fraud systems. Lending 3/4 of US mortgages are approved using the FICO Score. Learn more about how you can fulfil your potential at

: Job TitleSenior GCP Data Engineer Corporate TitleAssociate LocationBangalore, India Role Description Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, ESG Risk Mitigation as well as Corporate Sustainability. As Climate Change throws new Challenges and opportunities, Bank has set out to invest in developing a Sustainability Technology Platform, Sustainability data products and various sustainability applications which will aid Banks goals. As part of this initiative, we are building an exciting global team of technologists who are passionate about Climate Change, want to contribute to greater good leveraging their Technology Skillset in in Cloud / Hybrid Architecture. As part of this Role, we are seeking a highly motivated and experienced Senior GCP Data Engineer to join our team. In this role, you will play a critical role in designing, developing, and maintaining robust data pipelines that transform raw data into valuable insights for our organization. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design, develop, and maintain data pipelines using GCP services like Dataflow, Dataproc, and Pub/Sub. Develop and implement data ingestion and transformation processes using tools like Apache Beam and Apache Spark. Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL. Implement data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center. Monitor and troubleshoot data pipelines and storage solutions using GCP's Stackdriver and Cloud Monitoring tools. Collaborate with data experts, analysts, and product teams to understand data needs and deliver effective solutions. Automate data processing tasks using scripting languages like Python. Participate in code reviews and contribute to establishing best practices for data engineering on GCP. Stay up to date on the latest advancements and innovations in GCP services and technologies. Your skills and experience 5+ years of experience as a Data Engineer or similar role. Proven expertise in designing, developing, and deploying data pipelines. In-depth knowledge of Google Cloud Platform (GCP) and its core data services (GCS, BigQuery, Cloud Storage, Dataflow, etc.). Strong proficiency in Python & SQL for data manipulation and querying. Experience with distributed data processing frameworks like Apache Beam or Apache Spark (a plus). Familiarity with data security and access control principles. Excellent communication, collaboration, and problem-solving skills. Ability to work independently, manage multiple projects, and meet deadlines Knowledge of Sustainable Finance / ESG Risk / CSRD / Regulatory Reporting will be a plus Knowledge of cloud infrastructure and data governance best practices will be a plus. Knowledge of Terraform will be a plus How well support you . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Primine Software Private Limited is looking for Cloud Developer to join our dynamic team and embark on a rewarding career journey We are seeking a talented Cloud Developer to join our dynamic team The ideal candidate will be responsible for designing, developing, and deploying cloud-based solutions You will work closely with cross-functional teams to ensure the scalability, reliability, and security of our cloud infrastructure If you have a passion for cloud technologies and a strong background in software development, we want to hear from you Key Responsibilities:Design, develop, and deploy cloud-based applications and services using leading cloud platforms such as AWS, Azure, or Google Cloud Platform Collaborate with software engineers, architects, and stakeholders to understand requirements and translate them into scalable cloud solutions Implement best practices for cloud security, including identity and access management, encryption, and network security Optimize cloud infrastructure for performance, scalability, and cost-effectiveness Develop automated deployment pipelines using CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps Monitor and troubleshoot cloud infrastructure, identifying and resolving performance and reliability issues Stay up-to-date with the latest trends and advancements in cloud technologies, and make recommendations for continuous improvement Document design decisions, procedures, and troubleshooting steps to ensure knowledge sharing and maintainability

Key responsibilities: Design and deploy scalable, reliable, and secure Cloud Infrastructure across AWS, GCP, and Azure platforms. Manage and execute cloud deployments, ensuring efficient use of resources and adherence to best practices. Perks and benefits Reimbursements Provident Fund Work from home

Bachelor of Science Degree in Computer Science or Engineering, or a related field. 10+ years of experience in cloud operations, cloud networking, cloud security, SRE or software development with a strong focus on automation and cloud infrastructure management. Azure certifications (e.g., Microsoft Certified: Azure DevOps Engineer Expert, Azure Solutions Architect). Experience in agile development environments and working with Cloud Governance, Monitoring, SRE (Site Reliability Engineering) practices. Strong understanding of cloud-native architecture and containerization (AKS, ACR, Helm). Proficient in scripting and automation using PowerShell, Bash, and Azure CLI. Experience with Azure Policy, Blueprints, and management groups for governance. Knowledge of Azure landing zone architecture and enterprise-scale design principles. Familiar with service mesh, API management, and event-driven architecture. Expertise in configuring and optimizing Azure Monitor, Log Analytics, and Application Insights for proactive alerting and observability. Experience integrating logs and metrics with centralized platform Strong knowledge of Azure security controls : NSGs, ASGs, DDoS protection, Sentinel, Defender for Cloud. Experience implementing RBAC , Azure AD Conditional Access , and Just-In-Time VM Access . Familiar with data encryption strategies (encryption at rest/in transit, Key Vault, customer-managed keys). Proven experience leading cross-functional teams and mentoring engineers. Strong stakeholder management and ability to translate technical needs to business value. Skilled in fostering a culture of automation, observability, and operational excellence. Critical thinker and problem-solving skills. Experience in mentoring team members Result Driven and Proactive Good time-management skills. Great interpersonal and communication skills. Azure Database Administrator Associate certification is a plus.

POSITION NAME : POSITION TITLE (ENGLISH): IT Infrastructure Lead REPORTING TO: Asst. Manager IT REPORTING LOCATION: Bangalore WORKING LOCATION: Bangalore NUMBER OF FTEs UNDER RESPONSIBILITY: None POSITION & OBJECTIVES : The successful candidate will have a self-motivated, get-it-done attitude; the ability to think critically; enjoy working with teams spread globally and across cultures; a desire to learn in new areas; and the discipline to pay attention to deadlines, details and quality. Job description: Hands on experience on managing day to day operations of IT Infrastructure; Hands on experience VMWare, NetApp storage, Commvault Backup & Recovery; Good knowledge on Licensing (Microsoft, VMWare, Storage); Collaborative worker and teambuilding ability; Resolve operational problems within the defined schedules and service level agreements; Analyze root causes of operational malfunctions and provide resolutions; Monitor system operations and troubleshoot problems; Install, support and maintain network and system tools; Develop support plan to prioritize and resolve multiple issues; Contribute to business meetings and report on issue status; Experience in migrating workloads from on prem to Cloud and vice-versa; Ability to handle escalations, and drive to conclusion; Coordinate with multiple regional teams on discussion, planning, manage overall implementations of projects; Adherence to company policy and procedures; educate team on new policy changes; Handling operational escalations; Working with various Infra teams to resolve issues; Assisting service desk team if any escalation or support required; Handling Incidents, problem, service & event management; Needs to perform periodic audits of Server rooms, hub rooms; Preparing operational reports, stats and present to higher management at times; Strong written and verbal communication skills. EVOLUTION: What we offer: A launch pad into various senior management opportunities within the many business lines of Eurofins globally or into the management hierarchy in our different corporate functions. The opportunity to grow your project management skills in a demanding, fast growing organization. A chance to become part of a highly motivated international team of professionals. QUALIFICATIONS AND EXPERIENCE REQUIRED: 8- 10 years experience in IT BE Computer Science/MCA or any other Bachelors degree with the right experience Profile description: Requirements: Technology skills: Mandatory VMWare NetApp SAN, NAS Windows 2008 R2, 2012,2016 and 2019 Servers ITIL V4 Foundation Service Now Change, Incident, Problem Management Data Centre Management L1 Cloud Management Preferred Cloud administration (Azure / Amazon) SCCM Solar winds Monitoring Vendor Management Scripting (Preferred Windows Power Shell) Personal Skills: Technical and Functional Expertise. Understanding the Business. Achieving Results. Positive Attitude. Serving the Customer. Teamwork. Interpersonal and Communication Skills. Leadership and Personal Effectiveness

Role & responsibilities: Architect, deploy, and manage scalable cloud environments (AWS/GCP/DO) to support distributed data processing solutions to handle terabyte-scale datasets and billions of records efficiently Automate infrastructure provisioning, monitoring, and disaster recovery using tools like Terraform, Kubernetes, and Prometheus. Optimize CI/CD pipelines to ensure seamless deployment of web scraping workflows and infrastructure updates. Develop and maintain stealthy web scrapers using Puppeteer, Playwright, and headless chromium browsers. Reverse-engineer bot-detection mechanisms (e.g., TLS fingerprinting, CAPTCHA solving) and implement evasion strategies. Monitor system health, troubleshoot bottlenecks, and ensure 99.99% uptime for data collection and processing pipelines. Implement security best practices for cloud infrastructure, including intrusion detection, data encryption, and compliance audits. Partner with data collection, ML and SaaS teams to align infrastructure scalability with evolving data needs Preferred candidate profile : 4-7 years of experience in site reliability engineering and cloud infrastructure management Proficiency in Python, JavaScript for scripting and automation . Hands-on experience with Puppeteer/Playwright, headless browsers, and anti-bot evasion techniques . Knowledge of networking protocols, TLS fingerprinting, and CAPTCHA-solving frameworks . Experience with monitoring and observability tools such as Grafana, Prometheus, Elasticsearch, and familiarity with monitoring and optimizing resource utilization in distributed systems. Experience with data lake architectures and optimizing storage using formats such as Parquet, Avro, or ORC. Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes). Deep understanding of infrastructure-as-code tools (Terraform, Ansible) . Deep experience in designing resilient data systems with a focus on fault tolerance, data replication, and disaster recovery strategies in distributed environments. Experience implementing observability frameworks, distributed tracing, and real-time monitoring tools. Excellent problem-solving abilities, with a collaborative mindset and strong communication skills.

Service Delivery Manager - Cloud Infrastructure - J49187 Key Responsibilities Manage day-to-day service delivery for Skytap AIX infrastructure as the primary environment, ensuring high availability and business continuity. Oversee incident, problem, and change management processes following ITIL best practices. Conduct periodic capacity planning, performance reviews, and infrastructure health checks across cloud platforms. Monitor and maintain backup schedules, ensuring successful execution and recovery validation. Collaborate with Azure teams to manage hybrid cloud integrations, including VM performance, patching, and optimization. Drive SLA compliance and maintain service delivery KPIs, reporting to both internal and external stakeholders. Lead and coordinate with cross-functional teams during critical incidents to ensure timely resolution and root cause analysis. Maintain strong documentation standards, ensuring up-to-date knowledge base and runbooks. Act as a primary point of contact for cloud service escalations and operational queries. Required Skills & Experience 8+ years of experience managing infrastructure operations in Skytap AIX and cloud environments (preferably Azure). Strong understanding of IT service delivery processes, metrics, and continuous improvement methodologies. Hands-on experience with tools for performance monitoring, backup management, and incident tracking. Proven track record of working in global delivery models, especially within UK/EMEA time zones. Strong communication, stakeholder management, and team leadership skills. Preferred Qualifications ITIL v4 Certification (preferred) Exposure to automation tools and scripting (e.g., PowerShell, Bash) Familiarity with compliance frameworks and cloud governance Qualification - BCA,BE-Comp/IT,BE-Other,BSc-Comp/IT,BSc-Other,BTech-Comp/IT,BTech-Other

Job Title: Azure DevOps Engineer Responsibilities: - Design, implement, and maintain automated deployment pipelines for continuous integration and continuous delivery ( CI/CD Pipeline ). - Manage and maintain cloud infrastructure using tools such as AZURE Platform . - Monitor system performance, troubleshoot issues, and ensure high availability of applications. - Collaborate with development teams to design and implement infrastructure as code (IaC) using tools like Terraform - Develop and maintain configuration management processes and tools. - Implement and manage containerization and orchestration technologies such as Docker and Kubernetes . - Automate manual processes to improve efficiency and reduce human error. - Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes ). - Familiarity with CI/CD tools ( AZURE DevOps , Github, Gitlab or Azure Repo) - Experience with microservices architecture and serverless computing. - Stay current with industry trends and emerging technologies to continuously improve DevOps practices. - CI/CD with data platform service is an added advantage - Certification in relevant DevOps or cloud technologies Required Skills

Job Title: Azure DevOps Engineer Responsibilities: - Design, implement, and maintain automated deployment pipelines for continuous integration and continuous delivery ( CI/CD Pipeline ). - Manage and maintain cloud infrastructure using tools such as AZURE Platform . - Monitor system performance, troubleshoot issues, and ensure high availability of applications. - Collaborate with development teams to design and implement infrastructure as code (IaC) using tools like Terraform - Develop and maintain configuration management processes and tools. - Implement and manage containerization and orchestration technologies such as Docker and Kubernetes . - Automate manual processes to improve efficiency and reduce human error. - Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes ). - Familiarity with CI/CD tools ( AZURE DevOps , Github, Gitlab or Azure Repo) - Experience with microservices architecture and serverless computing. - Stay current with industry trends and emerging technologies to continuously improve DevOps practices. - CI/CD with data platform service is an added advantage - Certification in relevant DevOps or cloud technologies Required Skills