Jenkins
Kubernetes
DockerResponsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices
Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonKubernetesDockerJob Description
Experience: 5 - 9 years
Location: Bangalore/Pune/Hyderabad
Work Mode: Hybrid(3 Days WFO)
Senior Cloud Infrastructure Engineer for Data Platform
The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.
Key Responsibilities:
Cloud Infrastructure Design & Management
Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.
Optimize cloud costs and ensure high availability and disaster recovery for critical systems
Databricks Platform Management
Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.
Automate cluster management, job scheduling, and monitoring within Databricks.
Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.
CI/CD Pipeline Development
Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.
Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.
Monitoring & Incident Management
Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.
Security & Compliance
Enforce security best practices, including identity and access management (IAM), encryption, and network security.
Ensure compliance with organizational and regulatory standards for data protection and cloud operations.
Collaboration & Documentation
Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.
Maintain comprehensive documentation for infrastructure, processes, and configurations.
Required Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Must Have Experience:
6+ years of experience in DevOps or Cloud Engineering roles.
Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.
Hands-on experience with Databricks for data engineering and analytics.
Technical Skills:
Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.
Strong scripting skills in Python, or Bash.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
JenkinsDockerKey Qualifications :
- At least 2 years of hands-on experience with cloud infrastructure on AWS or GCP
- Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
- Knowledge in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
- Familiarity with monitoring and alerting tools(e.g. CloudWatch, ELK stack, Prometheus)
- Proven ability to work independently or as an integral member of a team
Preferable Skills :
- Familiarity with standard IT security practices such as encryption, credentials and key management
- Proven ability to acquire various coding languages (Java, Python- ) to support DevOps operation and cloud transformation
- Familiarity in web standards (e.g. REST APIs, web security mechanisms)
- Multi-cloud management experience with GCP / Azure
- Experience in performance tuning, services outage management and troubleshooting
DockerKubernetes
Amazon Web Services (AWS)Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description:- Integrate gates into CI/CD pipeline and push all flaws/issues to developers IDE (as far left as possible) - ideally in code repo but required by the time code is in the artifact repository.
- Demonstrable experience in Containerization-Docker and orchestration (Kubernetes)
- Experience withsetting up self-managed Kubernetes clusters without using any managed cloud offerings like EKS
- Experience working withAWS - Managing AWS services - EC2, S3, Cloudfront, VPC, SNS, Lambda, AWS Autoscaling, AWS IAM, RDS, EBS, Kinesis, SQS, DynamoDB, Elastic Cache, Redshift, Cloudwatch, Amazon Inspector.
- Familiarity withLinux and UNIX systems (e.g. CentOS, RedHat) and command line system administration such as Bash, VIM, SSH.
- Hands on experience in configuration management of server farms (using tools such asPuppet, Chef, Ansible, etc.,).
- Demonstrated understanding of ITIL methodologies, ITIL v3 or v4 certification
- Kubernetes CKA or CKAD certification nice to have
Excellent communication skills
Open to work on EST time zone
PythonDockerKubernetes A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
DockerJenkinsAmazon Web Services (AWS)Job description
The ideal candidate is a self-motivated, multi-tasker, and demonstrated team player. You will be a lead developer responsible for the development of new software security policies and enhancements to security on existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.
Responsibilities
- Consulting with management on the operational requirements of software solutions.
- Contributing expertise on information system options, risk, and operational impact.
- Mentoring junior software developers in gaining experience and assuming DevOps responsibilities.
- Managing the installation and configuration of solutions.
- Collaborating with developers on software requirements, as well as interpreting test stage data.
- Developing interface simulators and designing automated module deployments.
- Completing code and script updates, as well as resolving product implementation errors.
- Overseeing routine maintenance procedures and performing diagnostic tests.
- Documenting processes and monitoring performance metrics.
- Conforming to best practices in network administration and cybersecurity.
Qualifications
- Minimum of 2 years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructure such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail and other services provided by AWS.
- Experience Building a multi-region highly available auto-scaling infrastructure that optimises performance and cost. plan for future infrastructure as well as Maintain & optimise existing infrastructure.
- Conceptualise, architect and build automated deployment pipelines in a CI/CD environment like Jenkins.
- Conceptualise, architect and build a containerised infrastructure using Docker, Mesosphere or similar SaaS platforms.
- Conceptualise, architect and build a secured network utilising VPCs with inputs from the security team.
- Work with developers & QA to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional and performance status.
- Work with developers to institute systems, policies and workflows which allow for rollback of deployments Triage release of applications to production environment on a daily basis.
- Interface with developers and triage SQL queries that need to be executed in production environments.
- Assist the developers and on calls for other teams with post mortem, follow up and review of issues affecting production availability.
- Minimum 2 years’ experience in Ansible.
- Must have written playbook to automate provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
- Must have had prior experience automating deployments to production and lower environments.
- Experience with APM tools like New Relic and log management tools.
- Our entire platform is hosted on AWS, comprising of web applications, webservices, RDS, Redis and Elastic Search clusters and several other AWS resources like EC2, S3, Cloud front, Route53 and SNS.
- Essential Functions System Architecture Process Design and Implementation
- Minimum of 2 years scripting experience in Ruby/Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible)Establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
- Establishing and enforcing systems monitoring tools and standards
- Establishing and enforcing Risk Assessment policies and standards
- Establishing and enforcing Escalation policies and standards
KubernetesJenkinsJOB RESPONSIBILITIES:
- Responsible for design, implementation, and continuous improvement on automated CI/CD infrastructure
- Displays technical leadership and oversight of implementation and deployment planning, system integration, ongoing data validation processes, quality assurance, delivery, operations, and sustainability of technical solutions
- Responsible for designing topology to meet requirements for uptime, availability, scalability, robustness, fault tolerance & security
- Implement proactive measures for automated detection and resolution of recurring operational issues
- Lead operational support team manage incidents, document root cause and tracking preventive measures
- Identifying and deploying cybersecurity measures by continuously validating/fixing vulnerability assessment reports and risk management
- Responsible for the design and development of tools, installation procedures
- Develops and maintains accurate estimates, timelines, project plans, and status reports
- Organize and maintain packaging and deployment of various internal modules and third-party vendor libraries
- Responsible for the employment, timely performance evaluation, counselling, employee development, and discipline of assigned employees.
- Participates in calls and meetings with customers, vendors, and internal teams on regular basis.
- Perform infrastructure cost analysis and optimization
SKILLS & ABILITIES
Experience: Minimum of 10 years of experience with good technical knowledge regarding build, release, and systems engineering
Technical Skills:
- Experience with DevOps toolchains such as Docker, Rancher, Kubernetes, Bitbucket
- Experience with Apache, Nginx, Tomcat, Prometheus ,Grafana
- Ability to learn/use a wide variety of open-source technologies and tools
- Sound understanding of cloud technologies preferably AWS technologies
- Linux, Windows, Scripting, Configuration Management, Build and Release Engineering
- 6 years of experience in DevOps practices, with a good understanding of DevOps and Agile principles
- Good scripting skills (Python/Perl/Ruby/Bash)
- Experience with standard continuous integration tools Jenkins/Bitbucket Pipelines
- Work on software configuration management systems (Puppet/Chef/Salt/Ansible)
- Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook) and other business productivity tools
- Working knowledge on HSM and PKI (Good to have)
Location:
- Bangalore
Experience:
- 10 + Years.
KubernetesDockerBelow is the Job Description for the position of DevOps Azure Engineer in Xceedance co.
Qualifications BE/ B.Tech/ MCA in computer science
Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon
Our Client is an IT infrastructure services company, focused and specialized in delivering solutions and services on Microsoft products and technologies. They are a Microsoft partner and cloud solution provider. Our Client's objective is to help small, mid-sized as well as global enterprises to transform their business by using innovation in IT, adapting to the latest technologies and using IT as an enabler for business to meet business goals and continuous growth.
With focused and experienced management and a strong team of IT Infrastructure professionals, they are adding value by making IT Infrastructure a robust, agile, secure and cost-effective service to the business. As an independent IT Infrastructure company, they provide their clients with unbiased advice on how to successfully implement and manage technology to complement their business requirements.
- Working closely with other engineers and administrators
- Learning intimate knowledge of how best to customize the services available on various cloud platforms to help us become more secure and efficient.
- Assessing client requirements and coming up with costing for the sales team
- Planning and designing client infrastructure on Microsoft Azure and AWS
- Setting up alerts and monitor the health of cloud resources
- Handling the day-to-day management of clients’ cloud-based solutions Implementing security and protecting Identities
- Diagnosing and troubleshooting technical issues relating to Microsoft Azure and AWS
- Helping customers successfully deploy and implement cloud computing solutions
- Resolving technical support tickets via telephone, chat, email and sometimes in-person
- Keeping self and team updated with new cloud services offerings from Microsoft, Amazon & Google
- Staying current with industry trends, making recommendations as needed to help the company excel
What you need to have:
- Experience in cloud-based tech
- This position requires excellent written and verbal communication skills and negotiation
- Should have working knowledge of Microsoft Azure Calculator and AWS Calculator
- A clear understanding of core Cloud Computing services
- Knowledge of various computer services on Microsoft Azure and AWS
- Knowledge of various storage services on Microsoft Azure and AWS
- Knowledge of log collecting services available with Microsoft Azure and AWS
- Experience of working with popular operating systems such as Linux & Windows
- Experience of computer networks
- Experience of computer technologies like Active Directory, network protocols & subnetting
- Experience in automating day to day tasks using PowerShell scripting
- Confidence in own abilities
- Knowledgeable within this subject area and a thought leader
- Fast assimilator of information
- Imaginative problem solver
- Structured organizer
- Strong relationship building skills
- Strong analytical & numeracy skills
- Ability to use initiative and work under pressure, prioritizing to meet deadlines
- Driven, leading on initiatives, being committed to the role, and delivering on objectives and deadlines
- Service Orientation, demonstrable commitment to customer service
KubernetesJenkins• At least 4 years of hands-on experience with cloud infrastructure on GCP
• Hands-on-Experience on Kubernetes is a mandate
• Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
• Knowledge and hand-on-experience in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
• Knowledge and hand-on-experience on the various platforms (e.g. Gitlab, CircleCl and Spinnakar)
• Familiarity with monitoring and alerting tools (e.g. CloudWatch, ELK stack, Prometheus)
• Proven ability to work independently or as an integral member of a team
Preferable Skills:
• Familiarity with standard IT security practices such as encryption,
credentials and key management.
• Proven experience on various coding languages (Java, Python-) to
• support DevOps operation and cloud transformation
• Familiarity and knowledge of the web standards (e.g. REST APIs, web security mechanisms)
• Hands on experience with GCP
• Experience in performance tuning, services outage management and troubleshooting.
Attributes:
• Good verbal and written communication skills
• Exceptional leadership, time management, and organizational skill Ability to operate independently and make decisions with little direct supervision
Machine Learning (ML)KubernetesPythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon