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Docker
Kubernetes
Amazon Web Services (AWS)Role & Responsiblities
- DevOps Engineer will be working with implementation and management of DevOps tools and technologies.
- Create and support advanced pipelines using Gitlab.
- Create and support advanced container and serverless environments.
- Deploy Cloud infrastructure using Terraform and cloud formation templates.
- Implement deployments to OpenShift Container Platform, Amazon ECS and EKS
- Troubleshoot containerized builds and deployments
- Implement processes and automations for migrating between OpenShift, AKS and EKS
- Implement CI/CD automations.
Required Skillsets
- 3-5 years of cloud-based architecture software engineering experience.
- Deep understanding of Kubernetes and its architecture.
- Mastery of cloud security engineering tools, techniques, and procedures.
- Experience with AWS services such as Amazon S3, EKS, ECS, DynamoDB, AWS Lambda, API Gateway, etc.
- Experience with designing and supporting infrastructure via Infrastructure-as-Code in AWS, via CDK, CloudFormation Templates, Terraform or other toolset.
- Experienced with tools like Jenkins, Github, Puppet or other similar toolset.
- Experienced with monitoring functions like cloudwatch, newrelic, graphana, splunk, etc,
- Excellence in verbal and written communication, and in working collaboratively with a variety of colleagues and clients in a remote development environment.
- Proven track record in cloud computing systems and enterprise architecture and security
Roles and Responsibilities:
▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure
Data Factory, Data Factory & Azure Synapse Analytics.
▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client
facing exp.
· Finance/Insurance experience is also a must.
▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for
structured/unstructured data.
▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage
databases. · Python Automation: Develop scripts for data processing, automation, and
integration using Python (Pandas, NumPy).
Technical Skills:
▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to
have)
▪ Knowledge of Python, Pyspark, SQL, ETL concepts
▪ Good understanding of Insurance Operations and KPI reporting is an advantage.
GitHub- Development/Technical support experience in preferably DevOps.
- Looking for an engineer to be part of GitHub Actions support. Experience with CI/CD tools like Bamboo, Harness, Ansible, Salt Scripting.
- Hands-on expertise with GitHub Actions and CICD Tools like Bamboo, Harness, CI/CD Pipeline stages, Build Tools, SonarQube, Artifactory, Nuget, Proget Veracode, LaunchDarkly, GitHub/Bitbucket repos, Monitoring tools.
- Handelling Xmatters,Techlines,Incidents
- Strong Scripting skills (PowerShell, Python, Bash/Shell Scripting) for Implementing automation scripts and Tools to streamline administrative tasks and improve efficiency.
- An Atlassian Tools Administrator is responsible for managing and maintaining Atlassian products such as Jira, Confluence, Bitbucket, and Bamboo.
- Expertise in Bitbucket, GitHub for version control and collaboration global level.
- Good experience on Linux/Windows systems activities, Databases.
- Aware of SLA and Error concepts and their implementations; provide support and participate in Incident management & Jira Stories. Continuously Monitoring system performance and availability, and responding to incidents promptly to minimize downtime.
- Well-versed with Observability tool as Splunk for Monitoring, alerting and logging solutions to identify and address potential issues, especially in infrastructure.
- Expert with Troubleshooting production issues and bugs. Identifying and resolving issues in production environments.
- Experience in providing 24x5 support.
- GitHub Actions
- Atlassian Tools (Bamboo, Bitbucket, Jira, Confluence)
- Build Tools (Maven, Gradle, MS Build, NodeJS)
- SonarQube, Veracode.
- Nexus, JFrog, Nuget, Proget
- Harness
- Salt Services, Ansible
- PowerShell, Shell scripting
- Splunk
- Linux, Windows
Java
Python
Javascript
ScalaDockerPreferred Education & Experience: •
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.
Required Experience: 5+ Years
Job Location: Remote/Pune
KubernetesAmazon Web Services (AWS)Required Skills:
- Experience in systems administration, SRE or DevOps focused role
- Experience in handling production support (on-call)
- Good understanding of the Linux operating system and networking concepts.
- Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
- Experience with Docker containers and containerization concepts
- Experience with managing and scaling Kubernetes clusters in a production environment
- Experience building scalable infrastructure in AWS with Terraform.
- Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
- Experience monitoring production systems
- Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
- HAProxy, Nginx, SSH, MySQL configuration and operation experience
- Ability to work seamlessly with software developers, QA, project managers, and business development
- Ability to produce and maintain written documentation
KubernetesDevops Engineer Position - 3+ years
Kubernetes, Helm - 3+ years (dev & administration)
Monitoring platform setup experience - Prometheus, Grafana
Azure/ AWS/ GCP Cloud experience - 1+ years.
Ansible/Terraform/Puppet - 1+ years
CI/CD - 3+ years
KubernetesDockerAmazon Web Services (AWS)|
This role requires a balance between hands-on infrastructure-as-code deployments as well as involvement in operational architecture and technology advocacy initiatives across the Numerator portfolio.
Responsibilities
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Technical Skills
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JenkinsNumerator is a data and technology company reinventing market research. Headquartered in Chicago, IL, Numerator has 1,600 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients.
Job Description
What We Do and How?
We are a market research company, revolutionizing how it's done! We mix fast paced development and unique approaches to bring best practices and strategy to our technology. Our tech stack is deep, leveraging several languages and frameworks including Python, C#, Java, Kotlin, React, Angular, and Django among others. Our engineering hurdles sit at the intersection of technologies ranging from mobile, computer vision and crowdsourcing, to machine learning and big data analytics.
Our Team
From San Francisco to Chicago to Ottawa, our R&D team is comprised of talented individuals spanning across a robust tech stack. The R&D team is comprised of product, data analytics, engineers across Front End, Back End, DevOps, Business Intelligence, ETL, Data Science, Mobile Apps, and much more. Across these different groups we work towards one common goal: To build products into efficient and seamless user experiences that help our clients succeed.
Numerator is looking for a Infrastructure Engineer to join our growing team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platforms that handles millions of requests and massive amounts of data. In this position, you will be responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly-scaling SaaS environment.
As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a fast-paced role with high growth, visibility, impact, and where many of the decisions for new projects will be driven by you and your team from inception through production.
Some of the technologies we frequently use include: Terraform, Ansible, SumoLogic, Kubernetes, and many AWS-native services.
• Develop and test the cloud infrastructure to scale a rapidly growing ecosystem.
• Monitor and improve DevOps tools and processes, automate mundane tasks, and improve system reliability.
• Provide deep expertise to help steer scalability and stability improvements early in the life-cycle of development while working with the rest of the team to automate existing processes that deploy, test, and lead our production environments.
• Train teams to improve self-healing and self-service cloud-based ecosystems in an evolving AWS infrastructure.
• Build internal tools to demonstrate performance and operational efficiency.
• Develop comprehensive monitoring solutions to provide full visibility to the different platform components using tools and services like Kubernetes, Sumologic, Prometheus, Grafana.
• Identify and troubleshoot any availability and performance issues at multiple layers of deployment, from hardware, operating environment, network, and application.
• Work cross-functionally with various teams to improve Numerator’s infrastructure through automation.
• Work with other teams to assist with issue resolutions related to application configuration, deployment, or debugging.
• Lead by example and evangelize DevOps best practice within other engineering teams at Numerator.
Skills & Requirements
What you bring
• A minimum of 3 years of work experience in backend software, DevOps, or a related field.
• A passion for software engineering, automation and operations and are excited about reliability, availability and performance.
• Availability to participate in after-hours on-call support with your fellow engineers.
• Strong analytical and problem-solving mindset combined with experience troubleshooting large scale systems.
• Fundamental knowledge in networking; operating systems; package build system (IP subnets and routing, ACL’s, Core Ubuntu, PIP and NPM).
• Experience with automation technologies to build, deploy and integrate both infrastructure and applications (e.g., Terraform, Ansible).
• Experience using scripting languages like Python and *nix tools (Bash, sed/awk, Make).
• You enjoy developing and managing real-time distributed platforms and services that scale billions of requests.
• Have the ability to manage multiple systems across stratified environments.
• A deep enthusiasm for the Cloud and DevOps and keen to get other people involved.
• Experience with scaling and operationalizing distributed data stores, file systems and services.
• Running services in AWS or other cloud platforms, strong experience with Linux systems.
• Experience in modern software paradigms including cloud applications and serverless architectures.
• You look ahead to identify opportunities and foster a culture of innovation.
• BS, MS or Ph.D. in Computer Science or a related field, or equivalent work experience.
Nice to haves
• Previous experience working with a geographically distributed software engineering team.
• Experience working with Jenkins or Circle-CI
• Experience with storage optimizations and management
• Solid understanding of building scalable, highly performant systems and services
• Expertise with big data, analytics, machine learning, and personalization.
• Start-up or CPG industry experience
If this sounds like something you would like to be part of, we’d love for you to apply! Don't worry if you think that you don't meet all the qualifications here. The tools, technology, and methodologies we use are constantly changing and we value talent and interest over specific experience.
Disclaimer: We do not charge any fee for employment and the same applies to the Recruitment Partners who we work with. Numerator is an equal opportunity employer. Employment decisions are based on merit. Additionally, we do not ask for any refundable security deposit to be paid in bank accounts for employment purposes. We request candidates to be cautious of misleading communications and not pay any fee/ deposit to individuals/ agencies/ employment portals on the pretext of attending Numerator interview process or seeking employment with us. These would be fraudulent in nature. Anyone dealing with such individuals/agencies/
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
DockerExperience: 5+yrs
Skills Required: -
Experience in Azure Administration, Configuration and Deployment of WindowsLinux VMContainer
based infrastructure Scripting Programming in Python, JavaScriptTypeScript, C Scripting PowerShell ,
Azure CLI and shell Scripts Identity, Access Management and RBAC model Virtual Networking, storage,
and Compute Resources
Azure Database Technologies. Monitoring and Analytics Tools in Azure
Azure DevOps based CICD Build pipeline integrated with GitHub – Java and Node.js
Test Automation and other CICD Tools
Azure Infrastructure using ARM template Terrafor
Python• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•
Amazon Web Services (AWS)2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.
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