DevOps Engineer

Job Brief

The role is to coordinate strategies for defining, deploying, and designing a next-generation, cloud-based unified communications platform. This includes managing all engineering projects for VoIP initiatives, planning technology roadmaps, and configuring and optimizing all products and services, both internally and those integrated with Internet-based services.

DESIRED SKILLS AND EXPERIENCE

 Strong analytical and problem-solving skills

 Ability to work independently, learn quickly and be proactive

 3-5 years overall and at least 1-2 years of hands-on experience in designing and managing DevOps Cloud infrastructure

 Experience must include a combination of:

o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)

o Ability to write and maintain code in at least one scripting language (Python preferred)

o Practical knowledge of shell scripting

o Cloud knowledge – AWS, VMware vSphere o Good understanding and familiarity with Linux

o Networking knowledge – Firewalls, VPNs, Load Balancers

o Web/Application servers, Nginx, JVM environments

o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.

o Familiarity with logging systems - Logstash, Elasticsearch, Kibana

o Git, Jenkins, Jira

We are now seeking a talented and motivated individual to contribute to our product in the Cloud data

protection space. Ability to clearly comprehend customer needs in a cloud environment, excellent

troubleshooting skills, and the ability to focus on problem resolution until completion are a requirement.

Responsibilities Include:

Review proposed feature requirements

Create test plan and test cases

Analyze performance, diagnosis, and troubleshooting

Enter and track defects

Interact with customers, partners, and development teams

Researching customer issues and product initiatives

Provide input for service documentation

Required Skills:

Bachelor's degree in Computer Science, Information Systems or related discipline

3+ years' experience inclusive of Software as a Service and/or DevOps engineering experience

Experience with AWS services like VPC, EC2, RDS, SES, ECS, Lambda, S3, ELB

Experience with technologies such as REST, Angular, Messaging, Databases, etc.

Strong troubleshooting skills and issue isolation skills

Possess excellent communication skills (written and verbal English)

Must be able to work as an individual contributor within a team

Ability to think outside the box

Experience in configuring infrastructure

Knowledge of CI / CD

Desirable skills:

Programming skills in scripting languages (e.g., python, bash)

Knowledge of Linux administration

Knowledge of testing tools/frameworks: TestNG, Selenium, etc

Knowledge of Identity and Security

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

• Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
• Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
• Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
• Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
•             Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
• Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.

• Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
• •             Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
• •             Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
• •             Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.

• Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar

• Experience working in advanced iterative methodologies such as Agile and Safe.
• Experience with containers and orchestration (Docker, Kubernetes).
• Comfortable working in complex and demanding environments with high degree of change.
• Ability to view system perspective and to perform thorough investigations.
• Experience in frequent delivery to production.
• Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
• Experience with modern software components (Mongo, Elasticsearch, Kafka).
• Expertise in software development methodologies.
• Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
• Possession of a deep knowledge of development workflows with Git.
• Experience with MySQL or another relational database Environment.
• Automation testing (component, integration and end2end)

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East. This is an excellent opportunity to join ITP’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: