Amazon Web Services (AWS)
Kubernetes
Git- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
Subodh Popalwar
Software Engineer, Memorres
Similar jobs
Amazon Web Services (AWS)
Docker
Jenkins- Design cloud infrastructure that is secure, scalable, and highly available on AWS, Azure and GCP
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS, Azure, GCP cloud infrastructure defined as code
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS, Azure Infrastructure and systems
- Perform infrastructure cost analysis and optimization
KubernetesDockerAmazon Web Services (AWS)What we look for:
As a DevOps Developer, you will contribute to a thriving and growing AIGovernance Engineering team. You will work in a Kubernetes-based microservices environment to support our bleeding-edge cloud services. This will include custom solutions, as well as open source DevOps tools (build and deploy automation, monitoring and data gathering for our software delivery pipeline). You will also be contributing to our continuous improvement and continuous delivery while increasing maturity of DevOps and agile adoption practices.
Responsibilities:
- Ability to deploy software using orchestrators /scripts/Automation on Hybrid and Public clouds like AWS
- Ability to write shell/python/ or any unix scripts
- Working Knowledge on Docker & Kubernetes
- Ability to create pipelines using Jenkins or any CI/CD tool and GitOps tool like ArgoCD
- Working knowledge of Git as a source control system and defect tracking system
- Ability to debug and troubleshoot deployment issues
- Ability to use tools for faster resolution of issues
- Excellent communication and soft skills
- Passionate and ability work and deliver in a multi-team environment
- Good team player
- Flexible and quick learner
- Ability to write docker files, Kubernetes yaml files / Helm charts
- Experience with monitoring tools like Nagios, Prometheus and visualisation tools such as Grafana.
- Ability to write Ansible, terraform scripts
- Linux System experience and Administration
- Effective cross-functional leadership skills: working with engineering and operational teams to ensure systems are secure, scalable, and reliable.
- Ability to review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations.
KubernetesDockerResponsibilities:
- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.
- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.
- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.
- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.
- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.
- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.
- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.
- Ensure high availability, performance, and security of cloud infrastructure and applications.
- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.
- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.
- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.
- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.
- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.
- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.
Amazon Web Services (AWS)Jenkins
DockerJenkinsExp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
DockerKubernetesAmazon Web Services (AWS)Required qualifications and must have skills
-
5+ years of experience managing a team of 5+ infrastructure software engineers
-
5+ years of experience in building and scaling technical infrastructure
-
5+ years of experience in delivering software
-
Experience leading by influence in multi-team, cross-functional projects
-
Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
-
Experience with cloud service providers such as AWS, GCP, or Azure
-
Experience with containerization technologies such as Kubernetes and Docker
Nice to have Skills
-
Experience with Hadoop, Hive and Presto
-
Application/infrastructure benchmarking and optimization
-
Familiarity with modern CI/CD practices
-
Familiarity with reliability best practices
KubernetesDockerAmazon Web Services (AWS)Job Description
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.
Key Responsibilities and Must-have skills:
- Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
- Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
- Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies and risk management strategies
- Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
- Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
- Experience with application discovery preferably with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
- Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
- Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
- Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
- Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
- Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
- Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
- Hands-on Experience with application build/release processes CI/CD pipelines
- Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA
Additional Requirements:
- Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
- Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
- Assist Sales and Marketing team in creating sales and marketing collateral
- Write whitepapers and technology blogs to be published on social media and Intuitive website
- Create case studies for projects successfully executed by Intuitive delivery team
- Conduct sales enablement sessions to coach sales team on new offerings
- Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
- Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
- Strong passion for modern technology exploration and development
- Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
- Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
- Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
- Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus
DockerKubernetesAmazon Web Services (AWS)About BootLabs
https://www.google.com/url?q=https://www.bootlabs.in/&;sa=D&source=calendar&ust=1667803146567128&usg=AOvVaw1r5g0R_vYM07k6qpoNvvh6" target="_blank">https://www.bootlabs.in/
-We are a Boutique Tech Consulting partner, specializing in Cloud Native Solutions.
-We are obsessed with anything “CLOUD”. Our goal is to seamlessly automate the development lifecycle, and modernize infrastructure and its associated applications.
-With a product mindset, we enable start-ups and enterprises on the cloud
transformation, cloud migration, end-to-end automation and managed cloud services.
-We are eager to research, discover, automate, adapt, empower and deliver quality solutions on time.
-We are passionate about customer success. With the right blend of experience and exuberant youth in our in-house team, we have significantly impacted customers.
Technical Skills:
• Expertise in any one hyper scaler (AWS/AZURE/GCP), including basic services like networking,
data and workload management.
- AWS
Networking: VPC, VPC Peering, Transit Gateway, Route Tables, Security Groups, etc.
Data: RDS, DynamoDB, Elastic Search
Workload: EC2, EKS, Lambda, etc.
- Azure
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, Virtual Machines, Azure Functions
- GCP
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup,
templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment,
networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code.
Optional:
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, Open Telemetry; Paid: Datadog,
24/7, etc)
DockerAmazon Web Services (AWS)
NodeJS (Node.js)
We are looking for a full-time remote DevOps Engineer who has worked with CI/CD automation, big data pipelines and Cloud Infrastructure, to solve complex technical challenges at scale that will reshape the healthcare industry for generations. You will get the opportunity to be involved in the latest tech in big data engineering, novel machine learning pipelines and highly scalable backend development. The successful candidates will be working in a team of highly skilled and experienced developers, data scientists and CTO.
Job Requirements
- Experience deploying, automating, maintaining, and improving complex services and pipelines • Strong understanding of DevOps tools/process/methodologies
- Experience with AWS Cloud Formation and AWS CLI is essential
- The ability to work to project deadlines efficiently and with minimum guidance
- A positive attitude and enjoys working within a global distributed team
Skills
- Highly proficient working with CI/CD and automating infrastructure provisioning
- Deep understanding of AWS Cloud platform and hands on experience setting up and maintaining with large scale implementations
- Experience with JavaScript/TypeScript, Node, Python and Bash/Shell Scripting
- Hands on experience with Docker and container orchestration
- Experience setting up and maintaining big data pipelines, Serverless stacks and containers infrastructure
- An interest in healthcare and medical sectors
- Technical degree with 4 plus years’ infrastructure and automation experience
KubernetesAmazon Web Services (AWS)Docker
Python2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices
Follow CutshortSubodh Popalwar
Software Engineer, Memorres