ML Infrastructure Engineer Jobs in Noida

Position Title: Backend Engineer Location: Noida Job Type: Full-Time Experience Required: 2 4 Years About QueueBuster QueueBuster , founded in 2016, is India's leading Business Super App. Our Android-based Mobile POS (Point of Sale) solution helps businesses of all sizes from large retail stores to small kiosks manage their operations with ease. With features like Billing, Inventory Management, Khata (Credit Ledger), Online Store, Customer Management, and Loyalty Programs, QueueBuster is the go-to platform for modern retail businesses. Role Overview We re looking for a Backend Engineer who is passionate about building fast, scalable, and secure backend systems. You will work closely with our engineering and product teams to design, develop, and maintain the server-side logic and infrastructure powering our mobile POS solution. This is a full-time role based out of our Noida office, and it requires someone who thrives in a collaborative, fast-paced environment. Key Responsibilities Design and develop robust backend services and APIs that power mobile and web applications. Collaborate with frontend developers, product managers, and other stakeholders to deliver high-quality features. Own features end-to-end from concept to production and post-launch maintenance. Build, test, deploy, and maintain applications on cloud platforms. Ensure performance, scalability, reliability, and security of all backend systems. Troubleshoot and debug application issues and identify bottlenecks in performance. Write clean, maintainable, and well-documented code. Perform peer code reviews and contribute to team best practices. Lead architecture and design discussions for backend systems and microservices. Continuously improve development processes, tools, and methodologies. Required Skills & Qualifications 2+ years of hands-on experience in Node.js and MySQL. Experience with PHP and NoSQL databases (e.g., MongoDB, Redis) is a plus. Strong expertise in developing and integrating RESTful APIs. Working knowledge of web server management (e.g., Nginx, Tomcat) and cloud infrastructure. Experience with cloud platforms (e.g., AWS) and services like EC2, Lambda, SNS, SQS. Solid understanding of OOP, data structures, algorithms, and software design principles. Experience with microservices architecture and database design. Proficiency in Linux environments, including troubleshooting and log analysis. Familiarity with version control systems and branching strategies (e.g., Git). Experience with unit testing and maintaining high test coverage. Understanding of system design principles, including scalability and fault tolerance. Knowledge of Agile/Scrum methodologies and CI/CD pipelines. Strong debugging and performance optimization skills. Preferred Qualifications Bachelor s degree in Computer Science, Software Engineering, or a related field. High level of ownership, accountability, and a proactive attitude. Willingness to learn and experiment with new tools and technologies. Prior experience deploying and maintaining live cloud-based applications. Familiarity with tools like ElasticSearch, Neo4j, Redis, or Graph databases is a plus. What You ll Gain Opportunity to work in a fast-growing product company with a national footprint. Ownership of key product components with end-to-end development. Exposure to modern technologies, cloud platforms, and scalable system architecture. Collaborative and high-performance work culture. If you're excited about building systems that impact thousands of businesses across India, we'd love to hear from you. Qualification : Bachelors degree in Computer Science, Software Engineering, or a related field

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.

Deputy General Manager Talent Acquisition (TA Lead) Department: Human Resources Location: Noida Experience: 12 15 Years Business Unit: Avaada Energy Pvt. Ltd. About Avaada Energy Avaada Energy is the flagship entity of the Avaada Group, spearheading India s shift to a cleaner and more sustainable energy future. With a robust presence across solar energy, green hydrogen, and sustainable infrastructure, we are committed to innovation, scalability, and creating large-scale impact through renewable energy solutions. Role Overview We are looking for a strategic and seasoned Talent Acquisition (TA) Leader to head our recruitment function at the Deputy General Manager level. This is a critical leadership role responsible for defining, driving, and scaling recruitment strategies that align with Avaada Energy s aggressive growth plans. The ideal candidate will bring strong expertise in project-based hiring, corporate and leadership recruitment, and a deep understanding of the renewable energy landscape. This is a high-impact role with direct engagement across CXOs, business heads, and project teams. Key Responsibilities Talent Acquisition Strategy & Workforce Planning Develop and execute annual and quarterly manpower plans aligned with the organization s strategic goals. Forecast and manage hiring needs across corporate, site, and EPC functions including engineering, procurement, project management, regulatory, and finance. Build strong talent pipelines for permanent, contractual, and niche technical roles. Conduct competitive benchmarking and track industry hiring trends to proactively identify top talent. Partner with business heads and HRBPs to define workforce metrics and priorities. Leadership Hiring & Stakeholder Management Act as the single point of contact for all recruitment activities across Avaada Energy. Partner with CXOs and senior leadership to drive closure of critical and executive-level roles. Provide strategic counsel to senior stakeholders on hiring best practices, diversity goals, and talent market competitiveness. Process Excellence & Recruitment Operations Oversee end-to-end recruitment lifecycle: job requisition, sourcing, interviewing, offer negotiation, and onboarding transition. Ensure all job postings are up to date across internal systems (Darwinbox, career portal). Establish and track key recruitment SLAs, conversion metrics, and candidate experience benchmarks. Maintain full compliance with company policies, background verification standards, and DEI guidelines. Team Leadership & Capability Building Lead and mentor a high-performing team of recruiters and coordinators across corporate and site locations. Set team KRAs and performance goals, foster a culture of collaboration, and encourage continuous learning. Upskill the TA team in digital hiring tools, AI-enabled recruitment, and employer branding practices. Employer Branding & Campus Hiring Drive campus recruitment for engineering graduates (GETs), diploma trainees, and interns. Collaborate with branding teams to run targeted talent campaigns (job fairs, social media, referral drives). Forge strategic partnerships with placement cells, training platforms, and third-party hiring agencies. Recruitment Analytics & Reporting Publish weekly/monthly dashboards and hiring reports for leadership and board updates. Track and analyze key metrics: TAT, source mix, offer-to-join ratio, cost-per-hire, early attrition, etc. Maintain a centralized repository of interview questions and assessment tools to support standardization and process automation. Ensure recruitment ROI through productivity tracking and continuous process optimization. Required Qualifications & Skills 12 15 years of progressive experience in Talent Acquisition, with at least 3 5 years in a leadership role. Experience in large-scale hiring within EPC, Energy, Infrastructure, or Engineering domains is preferred. Strong track record of executive hiring, project-based recruitment, and talent strategy development. Exceptional interpersonal and stakeholder management skills, with experience working with CXO-level executives. Proficient in ATS platforms (preferably Darwinbox), MS Office, and data-driven recruitment analytics. Demonstrated ability to lead and build high-performing teams. Preferred Education Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred). Opportunity to lead TA for one of India s most ambitious clean energy organizations. High-impact role with exposure to leadership and strategic workforce planning. Collaborative work environment driven by innovation, sustainability, and purpose. Freedom to drive initiatives, build scalable systems, and shape Avaada s future talent landscape. Qualification : Bachelor's degree in Human Resources, Business Administration, or related field (MBA/PGDM preferred)

Position Title: Logistics Engineer Wind Power Projects Department: Project Logistics / Supply Chain Industry: Renewable Energy (Wind / Solar) Experience: 4 5 Years Location: Noida Role Overview We are seeking a highly motivated and detail-oriented Logistics Engineer to lead and optimize logistics operations for Wind Power Projects with a core focus on customs clearance, transport coordination, and oversized cargo handling. This role is critical in ensuring the timely, cost-effective, and compliant movement of wind turbine components or solar equipment from global and domestic suppliers to remote project sites across India. The ideal candidate will bring strong experience in logistics planning, international trade documentation, vendor management, and large equipment transport, preferably within the renewable energy sector. Key Responsibilities End-to-End Logistics Management Oversee logistics for wind or solar project components including blades, nacelles, towers, modules, inverters, and Balance of System (BOS) equipment. Ensure seamless integration across freight, customs, transport, and site delivery. Customs Clearance & Regulatory Compliance Handle full customs clearance process with documentation for imports/exports, including invoice, packing list, Bill of Lading (BL), Certificate of Origin (COO), EPCG, LC, etc. Ensure adherence to India s customs regulations, EPCG schemes, and foreign trade policies. Stakeholder & Vendor Coordination Liaise with freight forwarders, shipping lines, customs agents, port authorities, and internal supply chain/project teams. Coordinate with domestic and international vendors for dispatch planning, shipping, and delivery schedules. Route Survey & Transport Planning Conduct route surveys for oversized components, especially wind turbine parts. Plan and monitor specialized transportation including trailers, cranes, and handling equipment. Schedule, Cost & Risk Management Track shipping milestones, proactively resolve logistics issues (delays, damages, detentions). Monitor and analyze logistics costs, and suggest cost optimization strategies. Support inventory planning and site coordination for unloading and storage. Compliance & Safety Ensure logistics operations adhere to statutory, safety, and environmental regulations during transit and handling. Support logistics audits and documentation control. Key Skills & Competencies Expertise in Customs Handling: Strong understanding of import/export laws, duty structures, EPCG schemes, and port operations. Oversized Cargo Logistics: Experience with heavy transport logistics for wind turbine components or similar equipment. Technical & Communication Skills: Strong coordination abilities with cross-functional teams and external vendors. Tools & Systems: Proficiency in MS Excel, SAP/ERP systems, and logistics tracking software. Qualifications B.E./B.Tech in Mechanical, Electrical, Industrial Engineering, or a related field. 4 5 years of relevant experience in logistics within the Renewable Energy sector (Wind or Solar projects preferred). Certification in International Logistics or Supply Chain Management (SCM) is an added advantage. Work on cutting-edge renewable energy projects that shape India's clean energy future. Collaborate with global suppliers and leading project execution teams. Gain exposure to complex logistics challenges in large-scale wind/solar infrastructure deployment. Qualification : B.E./B.Tech in Mechanical, Electrical, Industrial Engineering, or a related field

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.

Senior Machine Learning Engineer II Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe Adobe is revolutionizing the way the world creates and communicates. From individuals to global enterprises, our tools empower people to design and deliver stunning digital experiences. We re driven by creativity, fueled by innovation, and committed to creating an inclusive culture where every employee has access to equal opportunity and respect. About the Team The Adobe Express team is building a transformative all-in-one creative application for web, desktop, and mobile platforms. By combining Adobe s core creative technologies with intelligent, AI-enhanced workflows, Adobe Express empowers anyone from casual creators to professionals to create standout content quickly and effortlessly. The Opportunity We are seeking a highly experienced and visionary Senior Machine Learning Engineer II to develop next-gen AI-powered features focused on image editing, generative AI, and multimodal creative experiences within Adobe Express. You will drive cutting-edge ML and AI workflows, including personalized assistants, intelligent editing tools, and LLM-integrated creative workflows. Experience Requirements 12+ years of hands-on experience in machine learning, computer vision, NLP, or related domains. Track record of delivering production-grade ML models and scalable AI systems. Experience with LLMs, agent-based systems, and generative AI models is strongly preferred. Responsibilities Design, develop, and deploy scalable ML pipelines across the entire lifecycle training, inference, and optimization. Build generative AI features and intelligent assistants for Adobe Express, particularly in the image editing domain. Integrate Large Language Models (LLMs) and AI agents to support dynamic and multimodal creative workflows. Collaborate across product, design, and engineering to translate user needs into AI-powered features. Architect sub-agent frameworks to modularize tasks such as content generation, smart editing, and design assistance. Contribute to experimentation infrastructure, including A/B testing, performance tracking, and continuous learning. Stay current on research in generative AI, federated learning, and optimization techniques for low-latency inference. Champion AI-first practices and mentor peers to foster a culture of experimentation, learning, and innovation. Required Skills Programming: Proficient in Python (for model development) and C++ (for performance-sensitive systems). Frameworks: Deep experience with TensorFlow, PyTorch, and modern GenAI toolkits. AI Expertise: Practical experience with LLMs, computer vision, NLP, multimodal models, and agent-based design. Systems: Proven ability to build ML pipelines at scale both in cloud and on-device environments. Preferred Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Published research or patents in AI/ML, especially in generative modeling or AI-assisted creativity. Experience with federated learning, RAG (retrieval-augmented generation), and real-time inference optimization. Lead the development of creative AI technologies that impact millions of users globally. Work in a collaborative, inclusive, and high-performing team culture. Access world-class learning, research, and innovation resources. Enjoy excellent employee benefits, flexibility, and career growth opportunities. Adobe is proud to be an Equal Opportunity Employer. We believe that diversity makes us stronger and we encourage all qualified individuals to apply. Qualification : Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.

AWS Engineer | Cloud Infrastructure | EC2 | Lambda | Auto Scaling | Terraform | Noida Location: Noida, Uttar Pradesh, India Position: AWS Engineer Experience: 2-4 years Department: Cloud Infrastructure / DevOps Job Description: We are looking for a highly skilled AWS Engineer to join our Cloud Infrastructure team in Noida. As an AWS Engineer, you will be responsible for managing and optimizing cloud infrastructure on Amazon Web Services (AWS), ensuring high availability, scalability, and security of the applications and services. Your role will involve working with various AWS services such as EC2, Lambda, S3, RDS, and more. You will also manage network connectivity, billing, and automation processes using Terraform and CloudFormation. Key Responsibilities: AWS Infrastructure Management: Manage and optimize AWS services, including EC2, RDS, Lambda, EKS, Elastic Load Balancing (ELB), Auto Scaling, Elastic IP, VPC, S3, Route 53, CloudWatch, CloudTrail, IAM, Redshift Spectrum, QuickSight, ElasticCache, and more. Network Connectivity & Troubleshooting: Resolve AWS network connectivity issues and ensure the seamless operation of cloud services. AWS Scripting & Billing: Use AWS scripting to automate tasks, manage AWS billing, and optimize resource utilization. Automation with Terraform & CloudFormation: Implement infrastructure as code using Terraform and AWS CloudFormation to provision and manage AWS resources efficiently. Windows Server & Active Directory: Troubleshoot and manage Windows Server environments, including OS-level issues and Active Directory administration. 24/7 Support Environment: Be part of a 24/7 support team, ensuring timely resolution of issues and maintaining the performance and availability of cloud infrastructure. Required Skills and Experience: 2-4 years of experience in managing AWS infrastructure, with hands-on experience in services like EC2, Lambda, Auto Scaling, RDS, and VPC. Strong understanding of AWS networking components such as Elastic Load Balancing, Route 53, Direct Connect, CloudFront, and Security Groups. Proficient in using AWS scripting, Terraform, and CloudFormation to automate and manage cloud infrastructure. Experience in troubleshooting Windows Server issues and working with Active Directory. Willingness to work in a 24/7 support environment and handle emergency situations as required. Strong communication skills for effective collaboration with the team and stakeholders. Must reside in Uttar Pradesh (U.P.) or be willing to relocate to Noida. Preferred Skills: Experience with AWS billing management and cost optimization. Familiarity with ElasticCache, CloudWatch, and CloudTrail for monitoring and logging. Experience with OpenSearch, Redshift Spectrum, and QuickSight for data analytics and visualization.

AI/ML Engineer Noida 2+ Years Experience Full-Time Location: Noida Experience Level: Minimum 2 years Employment Type: Full-Time Open Positions: 2 Job Overview: We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic technology team in Noida or Indore. If you have a passion for artificial intelligence, deep learning, and machine learning systems, and are excited to work on cutting-edge projects, we want to hear from you. Key Responsibilities: Develop and implement end-to-end machine learning solutions, including proof of concepts (POCs). Design, build, train, and optimize machine learning models for various business use cases. Research and evaluate the latest ML algorithms, frameworks, and tools. Work closely with software engineering teams to deploy AI models in production environments. Required Qualifications and Skills: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 2 years of hands-on experience in machine learning or data science roles. Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, or similar ML frameworks. Proficiency with cloud-based AI platforms (such as AWS SageMaker, Google AI, or Azure ML). Familiarity with Docker, Kubernetes, and modern deployment pipelines. Opportunity to work on impactful, large-scale AI/ML projects. Flexible work locations Noida or Indore. Collaborative work culture with growth and learning opportunities. Apply now and shape the future with intelligent technology. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Company Overview: Plasma Computing is a leading provider of Business Intelligence Solutions and IoT Platforms with a global reputation for excellence in IoT/M2M, Business Process Automation, Workflows, and Big Data Visualization Platforms. Our headquarters is located at 3010 Lyndon B Johnson Freeway #1515, Dallas, TX 75324. Essential Duties and Responsibilities: 1. DevOps Process Management: Design, build, test, and deploy changes to existing DevOps processes. Automate manual processes to improve efficiency and reliability. 2. IT Infrastructure Improvements: Assess the organization s IT infrastructure and implement changes to enhance performance. Maintain and improve the company s cloud infrastructure. 3. Cloud Management: Manage and optimize AWS services (EC2, RDS, EKS, IAM, S3, Route53, Storage Gateway, Lambda, SES, ELB, CloudFront). 4. Containerization & Orchestration: Work with Docker and Kubernetes to streamline application deployment. 5. Monitoring & Troubleshooting: Utilize tools like ELK Stack and Prometheus for monitoring. Respond to incidents and ensure smooth operations of IT systems. 6. Continuous Integration/Continuous Deployment (CI/CD): Establish and manage CI/CD pipelines using Jenkins and GitLab. 7. Technical Support: Provide technical assistance with LAN, WAN, and other systems. Respond to and resolve technical issues for users via email and diagnostic tools. Desired Skills: Core Skills: Linux (Ubuntu) Docker Kubernetes AWS (EC2, RDS, EKS, IAM, S3, etc.) ELK Stack Jenkins GitLab Prometheus Bash, Python, or other scripting languages Preferred Experience: At least 3 years of experience managing AWS instances. Proficient in Docker and Kubernetes. Ability to independently manage infrastructure and handle on-call responsibilities for AWS-related issues. Strong understanding of CI/CD pipelines. Additional Responsibilities (US Office): Basic knowledge of Python and Shell scripting. Install, modify, and repair hardware and software. Run diagnostics to resolve technical problems. Assist in troubleshooting LAN and WAN issues. Communicate effectively with users to identify and resolve problems. Qualifications: Minimum of 5 years of experience in DevOps processes. Strong knowledge of cloud infrastructure, particularly AWS. Expertise in automation, monitoring, and CI/CD pipeline development. This is an exciting opportunity for a skilled DevOps Engineer to contribute to innovative projects in a dynamic and collaborative environment. If you have the technical expertise and a passion for DevOps, we encourage you to apply! Qualification : Bachelor/Master Degree

Role Overview: As a Development Engineer in Adobe's AI Platform team, you'll play a pivotal role in the development, operations, and support of cutting-edge AI and ML solutions. You will be responsible for building new features, maintaining existing ones, and ensuring the successful delivery of high-quality, scalable software. The role requires expertise in Golang/Python, Kubernetes, and cloud platforms, as well as experience in machine learning (ML) solutions and workflow orchestration. Key Responsibilities: Product Development: Hands-on product development and solution implementation. Develop new features and maintain existing ones, from concept to deployment. Responsible for the full development lifecycle, including planning, design, coding, debugging, testing, and deployment. Analyze and implement high-quality software solutions using Golang/Python. Project Planning and Risk Analysis: Plan, estimate, and evaluate project efforts and associated risks. Drive the design and implementation of new layers, solutions, workflows, and features. Optimize solutions for frugality without compromising stability or resiliency. Cloud Infrastructure & ML Solutions: Design, develop, and optimize cloud-scale products and services. Build, deploy, and manage infrastructure in public cloud environments, particularly AWS. Develop solutions using the latest machine learning tools like PyTorch. Collaboration and Optimization: Collaborate with cross-functional teams to ensure the successful deployment and scalability of products. Continuously optimize the solution for performance, scalability, and cost-efficiency. Required Qualifications: Education: Bachelor s or Master s degree in Engineering or a related field. Experience: 9-12 years of relevant industry experience, particularly in cloud-based software development. Proven expertise in building large-scale platforms using Kubernetes. Strong programming skills in Python and Go. Experience with ML development tools, especially PyTorch. Experience in deploying and managing cloud infrastructure, particularly in AWS. Skills: In-depth knowledge of cloud platforms, container runtimes, and Kubernetes. Ability to work with large data-driven products and services used by a wide customer base. Strong problem-solving and debugging skills. Equal Opportunity Statement: Adobe is an Equal Employment Opportunity and affirmative action employer, ensuring all individuals are treated equally without discrimination based on gender, race, age, disability, religion, sexual orientation, or any other protected status. Qualification : Bachelors / Masters degree in engineering.

Lead Engineer Full Stack (Tech & Data Lead) Location: Noida Experience: 3 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, delivering premium platforms across industries including News, Sports, Fintech, and Enterprise Solutions. Our iconic brands TOI, ET, Cricbuzz, Times Prime, Willow TV, and others reach millions of users and help simplify their everyday lives. We are an equal opportunity employer that promotes diversity, inclusion, and innovation. Our culture values bold thinking and empowers teams to build impactful products that shape the future of digital India. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform serving 23+ industries like Auto, Energy, Pharma, Retail, and HR, with a reach of over 8 million professionals. Through curated content, premium events, and innovative digital tools like ET Masterclass and vConfex, ETB2B powers informed decision-making and professional growth. We re now launching a first-party B2B intent signal platform a cutting-edge system to convert high-value traffic into actionable insights for enterprise clients. Role Overview We re looking for a hands-on Lead Engineer to head the technology and data backbone of our new B2B intent signal platform. In this founding team role, you ll architect and develop the platform s core backend, integrating components such as: Reverse-IP based company detection User behavior tracking Intent scoring engines Data packaging for enterprise delivery This role is ideal for someone who thrives in fast-paced, early-stage environments, enjoys solving complex data and system design challenges, and is motivated to build scalable, commercial-grade B2B SaaS infrastructure. Key Responsibilities Lead the design and development of end-to-end backend architecture for a high-scale B2B SaaS platform. Develop and integrate data pipelines, tracking mechanisms, and analytics engines to capture buyer behavior signals. Architect robust APIs and services to deliver insights and signals to clients in real time. Work closely with product managers and data teams to translate business requirements into tech roadmaps. Ensure platform scalability, security, and performance while adhering to industry standards. Mentor junior engineers and contribute to building a strong tech-first culture. Qualifications & Skills 3 5 years of full-stack/backend engineering experience, preferably in SaaS, Martech, or data-driven platforms. Strong experience with backend technologies such as Node.js, Python, Go, or Java. Hands-on experience with REST APIs, data modeling, and cloud platforms (AWS, GCP, or Azure). Familiarity with user tracking systems, behavior analytics, or intent data is a strong plus. Experience working with databases (SQL & NoSQL), message queues, and containerized deployments (Docker/Kubernetes). Problem-solving mindset with the ability to work independently in a startup-style team. Be a founding engineer on a high-impact, data-first B2B product. Work with cross-functional teams and own end-to-end tech decisions. Join a mission-driven, innovation-focused culture backed by India s top digital media company. Competitive compensation, autonomy, and learning opportunities.

Manager Engineering Company: Zet Town India Private Limited (Zetwerk Electronics) Location: Noida Employment Type: Full-Time Department: Engineering Experience Required: 15+ Years (including 6+ years in a managerial role) About Zetwerk Electronics Zetwerk Electronics, a division of Zetwerk, is one of India s most dynamic players in the ESDM (Electronic System Design and Manufacturing) sector. With seven state-of-the-art facilities and the capability to produce two devices per second, we power global and Indian supply chains across high-growth industries with unmatched speed, quality, and cost-efficiency. Our diversified portfolio includes: Telecom: End-to-end 5G infrastructure manufacturing Consumer Durables: ODM/EMS for global appliance brands Hearables & Wearables: Full-cycle IoT device manufacturing Televisions & Displays: High-volume production at our Dharuhera plant IT Hardware: Motherboards, SSDs, and storage components Precision Assembly (CORY Connectors): Specialized solutions for 5G, EVs, and industrial applications At Zetwerk Electronics, we empower our team to excel, innovate, and lead. We emphasize structured training, continuous improvement, and cross-functional exposure. Our blend of advanced manufacturing, domain expertise, and quality excellence makes us a key force shaping India s electronics ecosystem. Role Overview As Manager Engineering, you will lead engineering operations for high-mix, high-volume manufacturing. This includes planning, process optimization, cross-functional coordination, and team leadership. You ll play a key role in ensuring operational efficiency, quality, and timely delivery while supporting innovation and scalability in our production systems. Key Responsibilities Drive manpower planning, layout optimization, line balancing, and productivity enhancement. Monitor and improve Industrial Engineering metrics: UPH (Units Per Hour), UPPH (Units Per Person per Hour), OEE (Overall Equipment Effectiveness), space utilization, etc. Support New Product Introductions (NPIs) through: Fixture/tooling readiness Line setup and configuration Operator training Ensure test coverage and DFT (Design for Testability) compliance. Support root cause analysis and debugging of production failures. Maintain high uptime of tools, jigs, and test equipment via preventive and breakdown maintenance. Champion lean manufacturing practices including 5S, Kaizen, and SMED. Monitor and improve KPIs like FPY (First Pass Yield), OEE, and DPMO (Defects Per Million Opportunities). Collaborate closely with Quality, Production, Supply Chain, and Program Management to meet performance goals. Required Qualifications Bachelor s or Master s degree in Electronics, Industrial Engineering, or related discipline. Minimum 15 years of experience in the EMS industry, with 6+ years in a managerial or leadership role. Strong technical expertise in: SMT, THT, PCBA, and box-build processes Proven track record in project management, team leadership, and cross-functional collaboration. Excellent communication, problem-solving, and stakeholder management skills. Join Us This is your opportunity to be part of a high-impact team that's reshaping electronics manufacturing in India. If you're ready to lead with purpose, drive operational excellence, and make a lasting mark in the EMS industry Zetwerk Electronics is the place for you. Qualification : Bachelors or Masters degree in Electronics Engineering, Industrial Engineering, or related field.

Job Title: Cloud Architect (Azure) Location: Noida, India (Work from Office) Employment Type: Full-Time Industry: Cloud Computing | DevOps | Enterprise Tech | SaaS About the Role We re looking for an experienced Cloud Architect to lead the design, implementation, and management of cutting-edge Azure cloud infrastructure. In this role, you'll drive architectural decisions, ensure high availability, and work with cross-functional teams to deliver scalable, secure, and performance-optimized solutions for enterprise clients. If you enjoy solving complex technical challenges and want to lead cloud transformation initiatives in a fast-paced, tech-first environment this is the role for you. Key Responsibilities Architect and implement end-to-end Azure cloud solutions tailored to business needs. Lead infrastructure design, capacity planning, security strategy, and performance optimization. Design and manage CI/CD pipelines and DevOps workflows using Jenkins, Git, and automation frameworks. Automate infrastructure provisioning using Terraform, ARM templates, Azure CLI, Ansible, and PowerShell. Collaborate with development, QA, and DevOps teams to ensure seamless cloud-native delivery. Troubleshoot issues, perform root cause analysis, and drive long-term fixes. Optimize cloud resource usage for performance, reliability, and cost-efficiency. Ensure cloud security best practices and compliance across all environments. Engage directly with clients to understand requirements and provide architectural solutions. Mentor junior engineers and contribute to building a strong internal cloud competency. Requirements Technical Skills Extensive experience in architecting and operating solutions using Azure services (compute, storage, networking, IAM, monitoring). Expertise in Infrastructure as Code (IaC) tools like Terraform, ARM, and Ansible. Proficiency in DevOps automation tools: Jenkins, Git, CI/CD pipelines, shell scripting, cron jobs. Familiarity with Linux server environments, system-level performance tuning, and automation. Strong knowledge of monitoring/logging tools (Azure Monitor, Graylog, Nagios). Experience using network analysis tools (e.g., Wireshark). Working knowledge of security tools like HashiCorp Vault. Python scripting experience is a plus. Soft Skills Excellent problem-solving and debugging skills. Strong communication and client engagement skills. Proven ability to lead technical teams and mentor junior members. Capable of managing multiple priorities in a high-paced environment. Educational Background Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications Azure Certifications: Azure Solutions Architect Expert, Azure DevOps Engineer Expert. Experience with Docker and Kubernetes. Exposure to multi-cloud environments (AWS, GCP) is a plus. Shift & Work Model 12x7 support model with rotational shifts. 5 working days/week, 9-hour shifts. Lead innovation in cloud architecture across AI-driven platforms. Work with a top-tier engineering team and industry veterans. Fast-track career growth in a hyper-growth SaaS startup. Competitive compensation + ESOPs, health benefits, and real impact. Apply now and let s build the future of cloud architecture together. Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field.

DevOps Engineer (Fresher) Location: Noida Experience: Fresher Job Type: Full Time Roles & Responsibilities: Gain a basic understanding of Linux/Unix operating systems. Learn and use scripting languages such as Bash, Python, or Shell. Familiarize yourself with version control systems like Git. Understand CI/CD concepts and tools such as Jenkins or GitLab CI. Explore cloud platforms such as AWS, Azure, or Google Cloud. Develop problem-solving skills and a willingness to learn new technologies. Work effectively in a team environment, demonstrating good communication skills. Required Skills: Basic knowledge of Linux/Unix systems. Familiarity with scripting languages (Bash, Python, Shell). Understanding of CI/CD tools and processes. Basic knowledge of cloud platforms (AWS, Azure, Google Cloud). Strong problem-solving skills and eagerness to learn. Good communication and teamwork abilities. Ideal Candidate: A fresher interested in starting a career in DevOps and cloud technologies. Quick learner with a keen interest in working with cutting-edge technologies. Team-oriented, with a proactive approach to learning and growth. Strong interest in understanding CI/CD pipelines, scripting for automation, and cloud infrastructure. This is a fantastic opportunity for a fresh graduate looking to kickstart their career in DevOps and cloud technologies. You'll be joining a dynamic team, working on various cloud platforms and DevOps tools while gaining hands-on experience in the field.

DevOps Engineer (Internal) Noida 3+ Years Experience Full-Time Location: Noida Experience Required: 3+ years Job Type: Full-Time Open Positions: 1 Job Overview: We are looking for a talented and self-driven DevOps Engineer to join our internal team. As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining scalable and secure cloud infrastructure solutions, deploying containerized applications, and building CI/CD pipelines. If you're passionate about automation, cloud technologies, and ensuring high availability in production environments, we'd love to have you on board. Key Responsibilities: Infrastructure Design & Implementation: Design and implement highly available, secure infrastructure solutions on AWS. Kubernetes Management: Deploy and manage Kubernetes clusters (EKS, K3s, or vanilla K8s) in production environments. Infrastructure as Code (IaC): Create and manage infrastructure using Terraform or AWS CloudFormation. Containerization: Build, manage, and deploy containerized applications using Docker and Helm. CI/CD Pipeline Development: Develop and maintain CI/CD pipelines with tools like GitHub Actions, GitLab CI/CD, or Jenkins. Monitoring & Performance: Monitor system performance and availability using Prometheus, Grafana, AWS CloudWatch, or Datadog. Automation & Scripting: Automate operational tasks and streamline infrastructure processes using scripting languages like Bash or Python. Cloud Infrastructure Security & Performance: Ensure security, reliability, and performance of cloud-native environments. Required Skills and Qualifications: Certifications: AWS Certified Solutions Architect Associate Certified Kubernetes Administrator (CKA) Cloud & Infrastructure: Hands-on experience with AWS services. Strong knowledge of Kubernetes (EKS, K3s, or vanilla K8s). Proficiency in Infrastructure as Code (Terraform or CloudFormation). Containerization & Orchestration: Experience with Docker, Helm, and Kubernetes controllers. Monitoring & Logging: Familiarity with Prometheus, Grafana, AWS CloudWatch, or Datadog. CI/CD & Automation: Proficiency in CI/CD tools like GitHub Actions, GitLab CI/CD, or Jenkins. Strong scripting skills in Bash or Python. System Administration: Good understanding of Linux administration and networking concepts.

Job Information: Work Experience: 4-5 years Industry: IT Services Job Type: FULL TIME Location: Mohali/Noida/Bangalore Overview: We are seeking a dynamic and skilled DevOps Professional to lead and contribute to cutting-edge projects focusing on multi-tenant SaaS architecture, Kubernetes-based microservices, and cloud-native solutions. The role will include designing scalable infrastructure, automating deployment pipelines, and improving performance and efficiency while ensuring compatibility with modern cloud technologies. Key Responsibilities: Infrastructure Design and Automation Architect, implement and maintain a multi-tenant SaaS solution leveraging Kubernetes namespaces and container orchestration tools. Develop and optimize CI/CD pipelines using tools like Jenkins, and GitHub Actions. Transition legacy applications to cloud-native, containerized microservices architectures. Scalability and Auto-Scaling Design and implement auto-scaling solutions using Kubernetes tools like Karpenter or EKS Managed Node Groups. Monitor and enhance system performance by analyzing resource utilization and scalability. Database and Application Management Work with multi-schema databases (MySQL, PostgreSQL, Oracle) to support shared hardware architecture. Ensure seamless tenant onboarding using dynamic namespace configuration and environment variables. Cloud Platform Expertise Use AWS services and tools effectively. Prepare architecture for AWS Marketplace using best practices in cloud hosting and deployment. Collaboration and Documentation Participate in workshops for product understanding and scope definition with stakeholders. Maintain detailed documentation of designs, deployment models, and architectural enhancements. AWS Well-Architected & FTR Compliance Hands-on experience conducting AWS Foundational Technical Reviews (FTR) for AWS Marketplace listings. Strong understanding of AWS Well-Architected Framework best practices, including security, reliability, and operational excellence. Proficiency in IAM, encryption, logging, monitoring, disaster recovery (DR), and cost optimization strategies required for FTR compliance. Ability to implement AWS security controls, perform self-assessments, and ensure AWS Marketplace solutions meet AWS guidelines. Technical Requirements: Must-Have Skills Strong expertise in Kubernetes. Hands-on experience with Infrastructure as Code tools like Terraform. Proficiency in CI/CD pipelines and automation. Knowledge of multi-tenant architectures and namespace-based service segregation. Experience with SaaS deployments on cloud platforms like AWS. Preferred Skills Familiarity with databases such as MySQL, PostgreSQL, and Oracle, and expertise in multi-schema configurations. Experience with auto-scaling and dynamic resource allocation. Knowledge of microservices architectures. Exposure to AI/ML-powered infrastructure enhancements for predictive scaling and optimization. Soft Skills Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Proactive and detail-oriented approach to project management. Qualifications Bachelor s degree in Computer Science, Engineering, or related field. Certifications in AWS (Solutions Architect or DevOps Engineer) and Kubernetes (CKA or CKAD) are highly desirable. Expectations, but not limited to: Transition monolithic applications to a multi-tenant, containerized architecture with a focus on efficiency and cost-effectiveness. Implement auto scaling solutions to support dynamic workloads in telecom and SaaS industries. Contribute to phase-based deployments with a clear roadmap, focusing on shared and pooled deployment models. Qualification : Bachelors degree in Computer Science, Engineering, or related field.

Job Summary: We are seeking a skilled Data Engineer with 2-5 years of industry experience to join our dynamic team. The ideal candidate will have a strong background in data engineering and a keen interest in the drug safety or pharmacovigilance domain. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support our data-driven initiatives. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Optimize and tune data processing systems for performance and scalability. Implement data governance and security best practices. Work with large datasets from various sources, including clinical trials, adverse event reports, and other pharmacovigilance data. Develop and maintain documentation for data engineering processes and systems. Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2-5 years of experience in data engineering or a related role. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle RDBMS). Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data warehousing solutions (e.g., Redshift, Big Query). Strong programming skills in Python, Java, or Scala. Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of data modeling, ETL processes, and data integration. Experience in the drug safety or pharmacovigilance domain is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualification : Bachelors degree in computer science, Engineering, or a related field.

General Purpose: We are looking for a visionary engineer to join our development team. The successful candidate will be responsible for managing the team, responsible for developing and managing the Engineering process. In this role, the hands-on Software Development Manager will be called upon to analyse problems, suggest, and assess multiple alternative solutions. Essential Duties & Responsibilities Manage a team of professionals to design and develop database systems. Provide guidance to the database team on database structures and features. Create standard procedures to enhance the scalability and performance of existing database architecture. Troubleshoot complex database issues in an accurate and timely manner. Supervise installation, migration, and upgrade of databases. Ensure that the database solution is developed according to business requirements. Prepare reports on database scalability and capacity planning as needed. Identify and resolve database issues related to performance and capacity. Oversee day-to-day activities of the database team. Develop best practices for performance and operational efficiency. Ensure database management and maintenance tasks are performed effectively. Conduct training programs for staff on database development and maintenance procedures. Provide regular updates to management on database project status. Implement agile processes and metrics to ensure that the engineering organization is exceptionally efficient and focused, and that the product is market ready. Recruit and develop a world-class development team, utilize external resources to drive important initiatives Stay updated with new database technologies and analyse such technologies to bring into the scope of existing infrastructure. Strong Linux/Unix experience Minimum Requirements Over 7+ years of experience in Product development Experience of data warehouse system design, development, and testing 5+ years of experience in leading and organizational skills Strong knowledge of Oracle database Extensive Knowledge of Oracle Argus Excellent communication and customer interfacing skills Experience in successful delivery of multiple products on time and with Quality Preferred Qualifications BTech / MTech Travel Expectations 0-10% Qualification : BTech / MTech

About LambdaTest: LambdaTest is a leading cross-browser testing platform, enabling developers to test web applications on 3000+ real browsers in the cloud. We provide cutting-edge tools and infrastructure to help teams deliver flawless user experiences. Join us to contribute to high-performance backend systems that keep us at the forefront of the industry. About the Role: As a Platform Engineer (Backend Developer) at LambdaTest, you'll develop and maintain backend services that power our cloud platform using technologies like Golang, Python, AWS/GCP, and Kubernetes. You ll work on scalable, efficient systems, optimizing performance and solving complex technical challenges. What You ll Do: Build and maintain backend services using Golang or Python Optimize SQL operations and ensure database integrity Implement data structures, algorithms, and services like Kafka Troubleshoot and debug issues using Linux/Unix Manage AWS/GCP infrastructure, including EKS Create and optimize CI/CD pipelines Collaborate with cross-functional teams and take ownership of system performance. What You Should Have: Experience: 1-4 years in Golang or Python backend development SQL Proficiency: Strong knowledge of SQL and database management Linux Expertise: Deep understanding of Linux/Unix and command proficiency Cloud & Kubernetes: Experience with AWS/GCP and EKS CI/CD Knowledge: Familiarity with building and managing CI/CD pipelines Scripting Skills: Proficiency in writing scripts (multi-language is a plus) Debugging: Strong debugging and problem-solving skills