38 Docker Container Jobs - Page 2

Job position - AWS Devops Engineer Location - Pune , Mumbai , Bangalore Working Mode - Hybrid ( 3 days in week ) Notice Period - Only Immediate Joiner Can Apply ( Serving notice Period candidate max - 15 june 2025 ) PAN Card Number is Mandatory while Proceeding Profile Mandatory Skills -AWS services such as EC2, S3, RDS, VPC, Lambda, etc , Infrastructure as Code (IaC) , Docker ,Kubernet ,monitoring and logging tools such as CloudWatch, Prometheus, or ELK stack. Interested Candidate please share your CV's on rutuja.s@bwbsol.com / 9850368787

We are seeking a highly skilled AI Engineer with demonstrated expertise in both traditional Machine Learning modelling and modern GenAI techniques. This role involves building scalable AI systems using foundation models, parameter- efficient fine-tuning (PEFT), and robust MLOps pipelines, while also grounding your solutions in classical machine learning principles. The ideal candidate excels at blending structured data modelling with large language model capabilities to drive intelligent, efficient, and production-ready AI systems. Key Responsibilities: Design, build, and deploy predictive systems by combining traditional ML models (e.g., regression, tree-based, time series) with Generative AI capabilities (e.g., LLMs, embeddings, GenAI-based simulation). Strong skills in prompt engineering are required to support the development and deployment of generative AI solutions. Fine-tune foundation models using PEFT techniques (e.g., LoRA, prefix tuning, adapters) for domain-specific applications. Build and maintain end-to-end MLOps pipelines for model versioning, testing, deployment, monitoring, and retraining. Use LLMs for automating feature generation, synthetic data creation, and prompt-driven scenario modelling. Manage the full AI/ML model lifecycle: experimentation, deployment, monitoring, diagnostics, and iterative enhancements. Apply and validate classical ML algorithms (e.g., XGBoost, LightGBM, ARIMA, SVMs, etc.) as benchmarks or hybrid components. Collaborate with cross-functional teams (data scientists, ML engineers, DevOps, product) to deliver AI solutions aligned with business needs. Deploy and monitor solutions in cloud environments (e.g., AWS SageMaker, GCP Vertex AI, Azure ML, REST(FAST API) with automated retraining and model health checks. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Machine Learning, Data Science, or related field. 3+ years of experience in AI/ML engineering, with proven success in both traditional predictive modelling and LLM-based development. Strong Python programming skills and familiarity with ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, and Transformers. Experience in parameter-efficient fine-tuning (PEFT) using frameworks such as Hugging Face PEFT, QLoRA, or AdapterHub. Proficiency in building MLOps workflows with tools like MLflow, Airflow, Kubeflow, or SageMaker Pipelines. Solid SQL/NoSQL experience and strong data wrangling skills. Hands-on experience deploying models in production cloud environments and containerized systems (e.g., Docker, Kubernetes). Excellent problem-solving, debugging, and communication skills.

locationsIndia, BangaloreMalaysia, Penang time typeFull time posted onPosted 30+ Days Ago job requisition idJR0269409 Job Details: About The Role : As PAM Engineer it will need CyberArk and Conjur Role and Responsibilities Hands on experience in Installing, Upgrading and Setting up CyberArk EPM, CPM, PSM, PSMP, AIM to Customizing, configuring it for given Policies and procedures. Hands-on experience in Installing and Setup CyberArk Conjur Enterprise Hands on experience in integrating Conjur with Jenkins, GitHub Action Kubernetes. Strong Knowledge in Docker Container management. Good Knowledge in Linux administration and Patching Design, architecture, and migration experience on Cyber Ark Provisioning, creating workflows, custom connectors, policies Integrating various platforms with Cyber Ark, such as different LDAP providers, Windows servers, UNIX servers, Databases, and networking Devices Creation of automation scripts using PACLI and REST API experience on customization of CyberArk Platforms Custom PSM Connectors CPM Plugins with AutoIT Shell Scripting. Good knowledge on auto detection configuration and usage of Discovery Scanning tools. Experience on AIM CP and CCP agents installation and upgradation experience on CyberArk version upgrade experience on DR Drill activities knowledge on HSM and PTA integration would be an added advantage. Qualifications: Knowledge and Skill needed to perform this job: Windows and Linux server management, Proficient in PAM/ Conjur/ CyberArk tools DevOps integration with Jenkins, GitHub , Kubernetes , Puppet, Docker ? Shell scripting Understanding of REST API work model. Education and experience needed to perform this job: Minimum 5-7 years hands on working experience are necessary. Certificates on required skillset like Linux and Conjur etc. will add value. Job Type: Experienced Hire Shift: Shift 1 (India) Primary Location: India, Bangalore Additional Locations: Malaysia, Penang Business group: Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. *

Role & responsibilities Key Responsibilities Deployment Management : Plan, coordinate, and execute software deployments across various environments, including development, testing, staging, and production. Configuration and Installation : Oversee the configuration, installation, and integration of software applications, ensuring compatibility and optimal performance. Automation : Develop and maintain deployment automation scripts and tools to streamline the deployment process and reduce manual errors. Monitoring and Troubleshooting : Monitor deployment activities, identify and resolve issues, and perform root cause analysis to prevent recurrence. Documentation : Create and maintain detailed documentation for deployment procedures, configurations, and troubleshooting steps. Collaboration : Work closely with development, QA, and IT teams to ensure alignment on deployment schedules, requirements, and best practices. Continuous Improvement : Identify opportunities for process improvements, implement best practices, and stay current with industry trends and technologies. User Support : Provide technical support to end-users during and after deployment, addressing any issues or concerns that arise. Preferred candidate profile Must-Have Skills Education : Bachelors degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent work experience. Experience : Proven experience as a Software Deployment Engineer or similar role for a minimum of 2-3 years, with a solid understanding of deployment processes and best practices. Technical Skills : Proficiency in deployment automation tools (e.g., Docker Container, Docker Compose, etc), scripting languages (e.g., Python, Bash), and version control systems (e.g., Azure DevOps). Basic knowledge of DOTNET is preferable Knowledge : Familiarity with cloud platforms Microsoft Azure, containerization technologies, and CI/CD pipelines. Problem-Solving : Strong analytical and troubleshooting skills with the ability to handle complex deployment issues effectively. Communication : Excellent written and verbal communication skills, with the ability to convey technical information to both technical and non-technical stakeholders. Attention to Detail : High level of accuracy and attention to detail in deployment activities and documentation.

Node.js, Type script, Java script ,Graph SQL, no SQL, Graph Database, react JS, AngularJS, E2E API building database, nodeJS,

Job Summary We are seeking an experienced Infra. Technology Specialist with 4 to 8 years of experience to join our team. The ideal candidate will have strong technical skills in Terraform Jenkins openshift AWS Nginx Database Platform OpenShift Cloud Platform Docker containers and PowerShell. This role requires a hybrid work model with day shifts. The candidate will play a crucial role in managing and optimizing our infrastructure technology to support our business objectives. Responsibilities Execute application software build & deployments supporting applications across the Line of Business Design develop & maintain automation procedures/templates to assist with platform automation such as Nginx Database Platform OpenShift Cloud Platform and Docker containers Support Application Development teams to understand project specific needs within DevOps core function areas and implementations analyze requirements and provide technical solutions for all automation needs. Source Code Management: GIT Administration - Create & Maintain Branches Manage Source Code Repositories User Management Support for Agile project management Co-ordinate the promotion of code to test qa stage & production environments in support of all roadmap & emergency releases Provide support for disaster recovery activities. Build and deploy containerized applications and manage container platforms. Strong analytical and problem-solving skills. Documenting Executing and Reporting DevOps controls. Training and mentoring junior team resources. Provide periodic on-call support which may include irregular hours as needed Basic Qualifications experience in core DevOps functional areas including source code management build and deploy programming automation and scripting functions experience with Jenkins Kubernetes AWS and terraform Preferred Qualifications Experience with Jenkins openshift terraform and AWS Experience with Deployment using Helm Extensive experience with more than one of these scripting languages is required - PowerShell Ant Shell & Python scripting for automation Experience in NPM & Maven based builds Experience with setting up monitoring and alerting using Datadog Experience working with Open Shift Platform Kubernetes architecture and design and troubleshooting issues. Experience in addressing security vulnerabilities and applying solutions. Building and deploying applications for JAVA and NODE in Linux environments. Experience with deployments on AWS and Container environments Strong understanding of Agile SDLC methodologies. Strong source code administration experience with Bitbucket and GIT preferred Strong troubleshooting and problem-solving skills Certifications Required Terraform Associate Certification Microsoft Certified: PowerShell Specialist

Role Purpose Mandatory Skills Cloud (Azure/AWS/GCP), DevOps, Kubernetes, UNIX, certified professional,docker container Preferred Skills Cloud Services, Ansible/Chef, Puppet, CI/CD Implementation Hands on experience with Cloud service e.g. (AWS Services like VPC, EC2, S3, ELB, RDS, ECS/EKS, IAM, CloudFront, CloudWatch, SQS/SNS, Lambda) Experience with Infrastructure as Code Tooling Terraform, CloudFormation Hands on skills in scripting or coding with modern languages Python, Unix bash scripting Experience with Configuration management tooling (Ansible/Chef, Puppet good to have.) Strong Docker and Kubernetes skills desirable Some experience with windows or unix administration Experience with Continuous Integration and Continuous Deployment Pipelines and tooling (GitLab, Jenkins, Github, Jira, or related) Should be able to propose new solutions for CI/CD implementation Should be able to develop overall strategy for Build & Release management Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we.

The GCP CloudOps Engineer is accountable for a continuous, repeatable, secure, and automated deployment, integration, and test solutions utilizing Infrastructure as Code (IaC) and DevSecOps techniques 8+ years of hands-on experience in infrastructure design, implementation, and delivery 3+ years of hands-on experience with monitoring tools (Datadog, New Relic, or Splunk) 4+ years of hands-on experience with Container orchestration services, including Docker or Kubernetes, GKE. Experience with working across time zones and with different cultures. 5+ years of hands-on experience in Cloud technologies GCP is preferred. Maintain an outstanding level of documentation, including principles, standards, practices, and project plans. Having experience building a data warehouse using Databricks is a huge plus. Hands-on experience with IaC patterns and practices and related automation tools such as Terraform, Jenkins, Spinnaker, CircleCI, etc., built automation and tools using Python, Go, Java, or Ruby. Deep knowledge of CICD processes, tools, and platforms like GitHub workflows and Azure DevOps. Proactive collaborator and can work in cross-team initiatives with excellent written and verbal communication skills. Experience with automating long-term solutions to problems rather than applying a quick fix. Extensive knowledge of improving platform observability and implementing optimizations to monitoring and alerting tools. Experience measuring and modeling cost and performance metrics of cloud services and establishing a vision backed by data. Develop tools and CI/CD framework to make it easier for teams to build, configure, and deploy applications Contribute to Cloud strategy discussions and decisions on overall Cloud design and best approach for implementing Cloud solutions Follow and Develop standards and procedures for all aspects of a Digital Platform in the Cloud Identify system enhancements and automation opportunities for installing/maintaining digital platforms Adhere to best practices on Incident, Problem, and Change management Implementing automated procedures to handle issues and alerts proactively Experience with debugging applications and a deep understanding of deployment architectures. Pluses: Databricks Experience with the Multicloud environment (GCP, AWS, Azure), GCP is the preferred cloud provider. Experience with GitHub and GitHub Actions

We are seeking a skilled Azure DevOps Engineer to join our technology team. The ideal candidate will be responsible for managing and improving our CI/CD pipelines, infrastructure automation, and cloud architecture using Microsoft Azure.

Specialist: Primary Skills: Strong experience with Docker Kubernetes for container orchestration. Configure and maintain Kubernetes deployments, services, ingresses, and other resources using YAML manifests or GitOps workflows. Experience in Microservices based architecture design. Understanding of SDLC including CI and CD pipeline architecture. Experience with configuration management (Ansible). Experience with Infrastructure as code(Teraform/Pulumi/CloudForma tion). Experience with Git and version control systems. Secondary Skills: Experience with CI/CD pipeline using Jankins orAWS CodePipeline or Github actions. Experience with building and maintaining Dev, Staging, and Production environments. Familiarity with scripting languages (e. g., Python, Bash) for automation. Monitoring and logging tools like Prometheus, Grafana. Knowledge of Agile and DevOps methodologies. Incidence management and root causeanalysis. Excellent problem solving and analytical skills. Excellent communication skills. Mandatory work from Office 24x5 Support

Seeking a skilled AWS Solutions Architect to join our team, who will be responsible for overseeing the efficient deployment, operation, and optimization of client applications in the cloud.

As a skilled Developer, you are responsible for building tools and applications that utilize the data held within company databases. The primary responsibility will be to design and develop these layers of our applications and to coordinate with the rest of the team working on different layers of IT infrastructure. A commitment to collaborative problem solving, sophisticated design and quality product is essential Python Developer Necessary Skills: Have experience in data wrangling and manipulation with Python/Pandas. Experience with Docker containers. Knowledge of data structures, algorithms and data modeling. Experience with versioning (Git, Azure DevOps). Design and implementation of ETL/ELT pipelines. Should have good knowledge and experience on web scrapping (Scrapy, BeautifulSoup, Selenium) Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Design, build, and maintain efficient, reusable, and reliable Python code. (SOLID, Design principles) Have experience in SQL database (Views, Stored Procedure, etc.) Responsibilities and Activities Aside from the core development role this job position includes auxiliary roles that are not related to development. The role includes but is not limited to: Support and maintenance of customs and previously developed tools, as well as excellence of performance and responsiveness of new applications. Deliver high quality and reliable applications, including Development and Front-End. In addition, you will maintain code quality, prioritize organization, and drive automatization. Participate in the peer review of plans, technical solutions, and related documentation (Map/document technical procedures). Identify security issues, bottlenecks, and bugs, implementing solutions to mitigate and address issues of service data security and data breaches. Work with SQL / Postgres databases: installing and maintaining database systems, supporting server management, including Backups. In addition to troubleshooting issues raised by the Data Processing team.

5+yrs in Data Science with 2+yrs leading AI/ML in onshore/offshore setups. Skilled in deploying LLMs, GenAI on cloud (Azure, AWS, GCP). Proficient in Python, SQL, MLOps, CI/CD, Docker, Kubernetes. Strong problem-solver, team player, results-driven.