Amazon Web Services (AWS)In-depth knowledge and hands-on experience with all of the AWS services and other similar cloud services
Strong knowledge of core architectural concepts including distributed computing , scalability, availability, and performance to recommend the best backend solutions for our products
Preferred AWS Certifications:
- AWS Solutions Architect Professional/Associate AWS DevOps Engineer Professional
- AWS SysOps Administrator - Associate AWS Developer Associate
Key Skills
- ITCAN is looking for an AWS Solution Architect who will be responsible for development of scalable, optimized, and reliable backend solutions using AWS services for all our products. You will ensure that our products consume AWS services in the mast effective methods. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.
Responsibilities:
- Analyse requirements and devise innovative, efficient, and cost-effective architecture using AWS components and services that ensure scalability, availability and high- performance.
- Develop automation and deployment utilities using Ruby, Bash and Shell scripting and implementing
- CI/CD pipelines using Jenkins, Code Deploy, Git, Code Pipeline, Code Commit etc. To ensure seamless deployment with no downtime.
- Redesign architectures end Lo-end seamlessly by working through major software upgrades such as Apache.
- Ensure an always-running network with the ability to set up redundant DNS systems with failover capabilities.
- Ensure the AWS services consumed are aligned with best practices to ensure higher availability and security along with optimal cost utilization.
- Using AWS-managed services, implement ELK systems end-to-end.
Shubham Vishwakarma
Full Stack Developer - Averlon
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KubernetesAmazon Web Services (AWS)• Bachelor’s or master’s degree in Computer Engineering,
Computer Science, Computer Applications, Mathematics, Statistics or related technical field or
equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a
different stream of education.
• Well-versed in DevOps principals & practices and hands-on DevOps
tool-chain integration experience: Release Orchestration & Automation, Source Code & Build
Management, Code Quality & Security Management, Behavior Driven Development, Test Driven
Development, Continuous Integration, Continuous Delivery, Continuous Deployment, and
Operational Monitoring & Management; extra points if you can demonstrate your knowledge with
working examples.
• Hands-on experience with demonstrable working experience with DevOps tools
and platforms viz., Slack, Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory,
Terraform, Ansible/Chef/Puppet, Spinnaker, Tekton, StackStorm, Prometheus, Grafana, ELK,
PagerDuty, VictorOps, etc.
• Well-versed in Virtualization & Containerization; must demonstrate
experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox,
Vagrant, etc.
• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate
experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in
any categories: Compute or Storage, Database, Networking & Content Delivery, Management &
Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstratable Cloud
Platform experience.
• Well-versed with demonstrable working experience with API Management,
API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption, tools &
platforms.
• Hands-on programming experience in either core Java and/or Python and/or JavaScript
and/or Scala; freshers passing out of college or lateral movers into IT must be able to code in
languages they have studied.
• Well-versed with Storage, Networks and Storage Networking basics
which will enable you to work in a Cloud environment.
• Well-versed with Network, Data, and
Application Security basics which will enable you to work in a Cloud as well as Business
Applications / API services environment.
• Extra points if you are certified in AWS and/or Azure
and/or Google Cloud.
Amazon Web Services (AWS)General Description:
Owns all technical aspects of software development for assigned applications.
Participates in the design and development of systems & application programs.
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation.
Required Skills:
In depth experience configuring and administering EKS clusters in AWS.
In depth experience in configuring **DataDog** in AWS environments especially in **EKS**
In depth understanding of OpenTelemetry and configuration of **OpenTelemetry Collectors**
In depth knowledge of observability concepts and strong troubleshooting experience.
Experience in implementing comprehensive monitoring and logging solutions in AWS using **CloudWatch**.
Experience in **Terraform** and Infrastructure as code.
Experience in **Helm**
Strong scripting skills in Shell and/or python.
Experience with large-scale distributed systems and architecture knowledge (Linux/UNIX and Windows operating systems, networking, storage) in a cloud computing or traditional IT infrastructure environment.
Must have a good understanding of cloud concepts (Storage /compute/network).
Experience in Collaborating with several cross functional teams to architect observability pipelines for various GCP services like GKE, cloud run Big Query etc.
Experience with Git and GitHub.
Proficient in developing and maintaining technical documentation, ADRs, and runbooks.
DockerKubernetesAmazon 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
DockerKubernetesKey Sills Required for Lead DevOps Engineer
Containerization Technologies
Docker, Kubernetes, OpenShift
Cloud Technologies
AWS/Azure, GCP
CI/CD Pipeline Tools
Jenkins, Azure Devops
Configuration Management Tools
Ansible, Chef,
SCM Tools
Git, GitHub, Bitbucket
Monitoring Tools
New Relic, Nagios, Prometheus
Cloud Infra Automation
Terraform
Scripting Languages
Python, Shell, Groovy
· Ability to decide the Architecture for the project and tools as per the availability
· Sound knowledge required in the deployment strategies and able to define the timelines
· Team handling skills are a must
· Debugging skills are an advantage
· Good to have knowledge of Databases like Mysql, Postgresql
It is advantageous to be familiar with Kafka. RabbitMQ
· Good to have knowledge of Web servers to deploy web applications
· Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning
· Advantage to having experience in DevSecOps
Note: Tools mentioned in bold are a must and others are added advantage
DockerKubernetesAmazon Web Services (AWS)● Improve CI/CD tooling using gitlab.
● Implement and improve monitoring and alerting.
● Build and maintain highly available systems.
● Implement the CI pipeline.
● Implement and maintain monitoring stacks.
● Lead and guide the team in identifying and implementing new technologies.
● Implement and own the CI.
● Manage CD tooling.
● Implement and maintain monitoring and alerting.
● Build and maintain highly available production systems.
Skills
● Configuration Management experience such as Kubernetes, Ansible or similar.
● Managing production infrastructure with Terraform, CloudFormation, etc.
● Strong Linux, system administration background.
● Ability to present and communicate the architecture in a visual form. Strong knowledge of AWS,
Azure, GCP.
Amazon Web Services (AWS)
Jenkins- Building and setting up new development tools and infrastructure
- Understanding the needs of stakeholders and conveying this to developers
- Working on ways to automate and improve development and release
processes - Testing and examining code written by others and analyzing results
- Ensuring that systems are safe and secure against cybersecurity
threats - Identifying technical problems and developing software updates and ‘fixes’
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
- Planning out projects and being involved in project management decisions
- BE / MCA / B.Sc-IT / B.Tech in Computer Science or a related field.
- 4+ years of overall development experience.
- Strong understanding of cloud deployment and setup
- Hands-on experience with tools like Jenkins, Gradle etc.
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate deployment
- Design procedures for system troubleshooting and maintenance
- Skills and Qualifications
- Proficient with git and git workflows
- Working knowledge of databases and SQL
- Problem-solving attitude
- Collaborative team spirit
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DockerKubernetesAmazon Web Services (AWS)About Us
At Digilytics™, we build and deliver easy to use AI products to the secured lending and consumer industry sectors. In an ever-crowded world of clever technology solutions looking for a problem to solve, our solutions start with a keen understanding of what creates and what destroys value in our clients’ business.
Founded by Arindom Basu (Founding member of Infosys Consulting), the leadership of Digilytics™ is deeply rooted in leveraging disruptive technology to drive profitable business growth. With over 50 years of combined experience in technology-enabled change, the Digilytics™ leadership is focused on building a values-first firm that will stand the test of time.
We are currently focused on developing a product, Revel FS, to revolutionise loan origination for mortgages and secured lending. We are also developing a second product, Revel CI, focused on improving trade (secondary) sales to consumer industry clients like auto and FMCG players.
The leadership strongly believes in the ethos of enabling intelligence across the organization. Digiliytics AI is headquartered in London, with a presence across India.
Website: http://www.digilytics.ai">www.digilytics.ai
- Know about our product
- https://www.digilytics.ai/RevEL/Digilytics">Digilytics RelEL
- https://www.digilytics.ai/RevUP/">Digilytics RelUP
- What's it like working at Digilytics https://www.digilytics.ai/about-us.html">https://www.digilytics.ai/about-us.html
- Digilytics featured in Forbes: https://bit.ly/3zDQc4z">https://bit.ly/3zDQc4z
Responsibilities
- Experience with Azure services (Virtual machines, Containers, Databases, Security/Firewall, Function Apps etc)
- Hands-on experience on Kubernetes/Docker/helm.
- Deployment of java Builds & administration/configuration of Nginx/Reverse Proxy, Load balancer, Ms-SQL, Github, Disaster Recovery,
- Linux – Must have basic knowledge- User creation/deletion, ACL, LVM etc.
- CI/CD - Azure DevOps or any other automation tool like Terraform, Jenkins etc.
- Experience with SharePoint and O365 administration
- Azure/Kubernetes certification will be preferred.
- Microsoft Partnership experience is good to have.
- Excellent understanding of required technologies
- Good interpersonal skills and the ability to communicate ideas clearly at all levels
- Ability to work in unfamiliar business areas and to use your skills to create solutions
- Ability to both work in and lead a team and to deliver and accept peer review
- Flexible approach to working environment and hours to meet the needs of the business and clients
Must Haves:
- Hands-on experience on Kubernetes/Docker/helm.
- Experience on Azure/Aws or any other cloud provider.
- Linux & CI/CD tools knowledge.
Experience & Education:
- A start up mindset with proven experience working in both smaller and larger organizations having multicultural exposure
- Between 4-9 years of experience working closely with the relevant technologies, and developing world-class software and solutions
- Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Retail Consumer Services
- A bachelor's degree, or equivalent, in Software Engineering and Computer Science
Amazon Web Services (AWS)- AWS Cloud, CICD, Serverless setups, Monitoring Setup
- Performance setup, scalability in hands experience, Linux expertise, DevOps Operations
- AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.
Machine Learning (ML)Kubernetes
PythonDevOps 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
Amazon Web Services (AWS)- Strong Understanding of Linux administration
- Good understanding of using Python or Shell scripting (Automation mindset is key in this role)
- Hands on experience with Implementation of CI/CD Processes
Experience working with one of these cloud platforms (AWS, Azure or Google Cloud) - Experience working with configuration management tools such as Ansible, Chef
Experience in Source Control Management including SVN, Bitbucket and GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus
Troubleshoot and triage development and Production issues - Understanding of micro-services is a plus
Roles & Responsibilities
- Implementation and troubleshooting on Linux technologies related to OS, Virtualization, server and storage, backup, scripting / automation, Performance fine tuning
- LAMP stack skills
- Monitoring tools deployment / management (Nagios, New Relic, Zabbix, etc)
- Infra provisioning using Infra as code mindset
- CI/CD automation
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon