Cloud Analyst Level 1

Job Description

What does a successful Senior DevOps Engineer do at Fiserv?

This role’s focus will be on contributing and enhancing our DevOps environment within Issuer Solution group, where our cross functional Scrum teams are delivering solutions built on cutting-edge mobile technology and products. You will be expected to support across the wider business unit, leading DevOps practices and initiatives.

What will you do:

• Build, manage, and deploy CI/CD pipelines.

• DevOps Engineer - Helm Chart, Rundesk, Openshift

• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline.

• Implementing various development, testing, automation tools, and IT infrastructure

• Optimize and automate release/development cycles and processes.

• Be part of and help promote our DevOps culture.

• Identify and implement continuous improvements to the development practice

What you must have:

• 3+ years of experience in devops with hands-on experience in the following:

- Writing automation scripts for deployments and housekeeping using shell scripts (bash) and ansible playbooks

- Building docker images and running/managing docker instances

- Building Jenkins pipelines using groovy scripts

- Working knowledge on kubernetes including application deployments, managing application configurations and persistence volumes

• Has good understanding on infrastructure as code

• Ability to write and update documentation

• Demonstrate a logical, process orientated approach to problems and troubleshooting

• Ability to collaborate with multi development teams

What you are preferred to have:

• 8+ years of development experience

• Jenkins administration experience

• Hands-on experience in building and deploying helm charts

Process Skills:

• Should have worked in Agile Project

Behavioral Skills :

• Good Communication skills

Skills

PRIMARY COMPETENCY : Cloud Infra PRIMARY SKILL : DevOps PRIMARY SKILL PERCENTAGE : 100

• Minimum 3+ yrs of Experience in DevOps with AWS Platform
•     • Strong AWS knowledge and experience
•     • Experience in using CI/CD automation tools (Git, Jenkins, Configuration deployment tools ( Puppet/Chef/Ansible)
•     • Experience with IAC tools  Terraform
•     • Excellent experience in operating a container orchestration cluster (Kubernetes, Docker)
•     • Significant experience with Linux operating system environments
•     • Experience with infrastructure scripting solutions such as Python/Shell scripting
•     • Must have experience in designing Infrastructure automation framework.
•     • Good experience in any of the Setting up Monitoring tools and Dashboards ( Grafana/kafka)
•     • Excellent problem-solving, Log Analysis and troubleshooting skills
•     • Experience in setting up centralized logging for system (EKS, EC2) and application
•     • Process-oriented with great documentation skills
•     • Ability to work effectively within a team and with minimal supervision

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development at LS telcom in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud as LS service
• Implementation of installations of the LS system solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for LS development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.

• Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
• Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
• Working on Docker images and maintaining Kubernetes clusters.
• Develop and maintain the automation scripts using Ansible or other available tools.
• Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
• Working on Cloud security tools to keep applications secured.
• Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
• Required Technical and Professional Expertise.
• Minimum 4-6 years of experience in IT industry.
• Expertise in implementing and managing Devops CI/CD pipeline.
• Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
• Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
• Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
• Knowledge of Docker and Kubernetes is required.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Experience with working with ticketing tools.
• Middleware technologies knowledge or database knowledge is desirable.
• Experience and well versed with Jira tool is a plus.

Creates, modifies, and maintains software applications individually or as part of a team.  Provides technical leadership on a team, including training and mentoring of other team members.  Provides technology and architecture direction for the team, department, and organization.

• Develops software applications and supporting infrastructure using established coding standards and methodologies
• Sets example for software quality through multiple levels of automated tests, including but not limited to unit, API, End to End, and load.
• Self-starter and self-organized - able to work without supervision
• Develops tooling, test harnesses and innovative solutions to understand and monitor the quality of the product 
• Develops infrastructure as code to reliably deploy applications on demand or through automation
• Understands cloud managed services and builds scalable and secure applications using them
• Creates proof of concepts for new ideas that answer key questions of feasibility, desirability, and viability
• Work with other technical leaders to establish coding standards, development best practices and technology direction
• Performs thorough code reviews that promote better understanding throughout the team
• Work with architects, designers, business analysts and others to design and implement high quality software solutions
• Builds intuitive user interfaces with the end user persona in mind using front end frameworks and styling
• Assist product owners in backlog grooming, story breakdown and story estimation
• Collaborate and communicate effectively with team members and other stakeholders throughout the organization
• Document software changes for use by other engineers, quality assurance and documentation specialists
• Master the technologies, languages, and practices used by the team and project assigned
• Train others in the technologies, languages, and practices used by the team
• Trouble shoot, instrument and debug existing software resolving root causes of defective behavior
• Guide the team in setting up the infrastructure in the cloud.
• Setup the security protocols for the cloud infrastructure
• Works with the team in setting up the data hub in the cloud
• Create dashboards for the visibility of the various interactions between the cloud services
• Other duties as assigned

• BA/BS in Computer Science, a related field or equivalent work experience

• Mastered advanced programming concepts, including object oriented programming
• Mastered technologies and tools utilized by team and project assigned
• Able to train others on general programming concepts and specific technologies
• Minimum 8 years’ experience developing software applications

• Must be expert in advanced programming skills and database technology
• Must be expert in at least one technology and/or language and proficient in multiple technologies and languages:
• (Specific languages needed will vary based on development department or project)
• .Net Core, C#, Java, SQL, JavaScript, Typescript, Python
• Additional desired skills:
  • Single-Page Applications, Angular (v9), Ivy, RXJS, NGRX, HTML5, CSS/SASS, Web Components, Atomic Design
  • Test First approach, Test Driven Development (TDD), Automated testing (Protractor, Jasmine), Newman Postman, artillery.io
  • Microservices, Terraform, Jenkins, Jupyter Notebook, Docker, NPM, Yarn, Nuget, NodeJS, Git/Gerrit, LaunchDarkly
  • Amazon Web Services (AWS), Lambda, S3, Cognito, Step Functions, SQS, IAM, Cloudwatch, Elasticache
  • Database Design, Optimization, Replication, Partitioning/Sharding, NoSQL, PostgreSQL, MongoDB, DynamoDB, Elastic Search, PySpark, Kafka
  • Agile, Scrum, Kanban, DevSecOps
• Strong problem-solving skills
• Outstanding communications and interpersonal skills
• Strong organizational skills and ability to multi-task
• Ability to track software issues to successful resolution
• Ability to work in a collaborative fast paced environment
• Setting up complex AWS data storage hub
• Well versed in setting up infrastructure security in the interactions between the planned components
• Experienced in setting up dashboards for analyzing the various operations in the AWS infra setup.
• Ability to learn new development language quickly and apply that knowledge effectively