Alerting Jobs in Noida

Position Title: DevOps Engineer Location: Noida Experience: 4 8 Years Employment Type: Full-Time Must-Have Skills: AWS, Azure, Jenkins, Docker About DPD Technologies QueueBuster QueueBuster , developed by DPD Technologies, is India s leading Mobile POS Solution, built to simplify business operations across sectors. From large format retailers to small kiosks and carts, our Android-based platform supports Billing, Inventory, CRM, Loyalty, Online Store, and more all from one centralized system. Trusted by over 75,000+ merchants, QueueBuster helps businesses scale smartly and efficiently. At DPD, we foster a collaborative, innovative, and empowering work culture, where teams thrive and grow together. Role Overview: DevOps Engineer We are looking for an experienced DevOps Engineer who will work closely with our software development teams to automate, optimize, and streamline our infrastructure and deployment processes. You ll play a critical role in ensuring system reliability, performance, and scalability across production and staging environments. Key Responsibilities Collaborate with developers to deploy and operate scalable, secure, and resilient systems. Automate and manage CI/CD pipelines using Jenkins or equivalent tools. Build and maintain tools for deployment, monitoring, and infrastructure automation. Manage containerized applications using Docker and container orchestration. Monitor infrastructure health, perform root cause analysis, and resolve production issues quickly. Administer and optimize Linux/Unix servers and ensure system uptime and performance. Set up and manage web servers including Nginx and Apache, including load balancing and multi-site hosting. Implement robust backup and recovery strategies for high-availability environments. Work with AWS and Azure cloud services to manage infrastructure, networking, and application hosting. Maintain and optimize relational and non-relational databases including MySQL, PostgreSQL, MongoDB, Cassandra, Redis, and Elasticsearch. Ensure robust log management, monitoring, and alerting for applications and infrastructure. Maintain security best practices across environments (firewall configs, access management, SSL, etc.). Required Skills & Qualifications 4 8 years of experience in Linux system administration, cloud platforms (AWS, Azure), and DevOps practices. Strong experience in virtualization, containers, and container orchestration. Proficient with CI/CD tools such as Jenkins, Git, and shell scripting. Experience deploying and managing applications built on Node.js, PHP/LAMP, WordPress, and Java (J2EE) stacks. Solid knowledge of web server configuration, DNS, SSL, and load balancing. Familiar with infrastructure-as-code (IaC) and high-availability architecture. Strong grasp of networking concepts, firewalls, and security configurations. Hands-on experience with system and application monitoring tools. Strong troubleshooting and performance tuning skills. Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Good to Have Experience with container orchestration tools like Kubernetes. Exposure to infrastructure automation tools such as Terraform, Ansible, or Puppet. Familiarity with SOA, microservices architecture, and serverless deployments. Be part of a fast-growing tech product impacting thousands of businesses. Work with cutting-edge DevOps tools and cloud infrastructure. Thrive in a startup environment with ownership, learning, and flexibility. Collaborate with a talented and passionate team focused on innovation and scale.

Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field

Job Title: Senior Cloud Engineer (Azure) Location: Noida, India (Work from Office) Employment Type: Full-Time Industry: Cloud Computing | DevOps | SaaS | Enterprise Tech About the Role We are looking for a Senior Cloud Engineer with hands-on expertise in Microsoft Azure to design, implement, and manage secure, scalable, and high-performing cloud infrastructure. You'll play a pivotal role in enabling cloud-native operations, optimizing costs, ensuring 24/7 availability, and driving automation across the cloud environment. This is an exciting opportunity for someone who thrives in a fast-paced, tech-first culture and is passionate about solving complex infrastructure challenges with automation, performance tuning, and cutting-edge DevOps practices. Key Responsibilities Design, build, and manage robust Azure cloud infrastructure for enterprise-grade applications. Implement and maintain CI/CD pipelines using Jenkins, Git, and other DevOps tools to support seamless software delivery. Ensure high availability, performance, and cost optimization of all Azure services and environments. Automate cloud provisioning and configuration using Terraform, ARM templates, Ansible, Azure CLI, and PowerShell. Troubleshoot system and network issues; conduct root cause analysis and apply long-term fixes. Set up monitoring and alerting systems using Azure Monitor, Nagios, and Graylog to maintain SLA uptime. Collaborate with engineering and product teams to ensure cloud architecture aligns with app design. Ensure compliance with cloud security policies, data governance standards, and disaster recovery protocols. Support containerization efforts using Docker and assist in Kubernetes environment setup (if applicable). Participate in rotational shifts to support a 12x7 production environment. Requirements Must-Have Skills 4 7 years of experience in Azure Cloud Engineering or related infrastructure roles. Deep understanding of Azure services (Compute, Storage, Networking, Security, RBAC). Strong scripting/automation skills in PowerShell, Bash, and Azure CLI. Experience with Terraform, ARM Templates, Ansible, or other IaC tools. Proficiency in CI/CD setup using Jenkins or similar. Familiarity with Linux environments, shell scripting, cron jobs, and server administration. Working knowledge of networking protocols and tools like Wireshark. Strong debugging and troubleshooting skills across OS, network, and app layers. Exposure to security tools such as HashiCorp Vault. Excellent communication and collaboration abilities. Education Bachelor s degree in Computer Science, IT, or related technical field. Preferred Qualifications Microsoft Certified: Azure Administrator Associate, Azure DevOps Engineer, or similar. Experience with Docker and Kubernetes container orchestration. Exposure to multi-cloud environments (AWS or Google Cloud) is a plus. Python scripting for automation is a plus. Shift Details 12x7 Support Model: Open to rotational shifts. 5 working days/week, 9-hour shifts. Work at the forefront of AI and SaaS innovation. Fast-track your career in a cloud-native, DevOps-first organization. Highly collaborative and energetic tech culture. Competitive compensation and performance-linked benefits. Be a key part of building scalable infrastructure for next-gen AI products. Apply today and become a core part of our engineering team driving global impact! Qualification : Bachelors degree in Computer Science, IT, or related technical field.