Cloud Engineer

DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.

At Least 4 Years of experience in DevOps with knowledge of:

• Docker
• Docker Cloud / Containerization
• DevOps Best Practices
• Distributed Applications
• Deployment Architecture
• Atleast AWS Experience
• Exposure to Kubernetes / Serverless Architecture

Skills:

• 3-7+ years of experience in DevOps Engineering
• Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
• Experience with Docker Swarm, Docker Compose, Docker Engine
• Experience with Provisioning and managing VM's - Virtual Machines
• Experience / strong knowledge with Network Topologies, Network Research,
• Jenkins, BitBucket, Jira
• Ansible or other Automation Configuration Management System tools
• Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
• Linux Systems Administration -: Redhat

Additional Preference:

Security, SSL configuration, Best Practices

Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code

SUMMARY:-

• Implement integrations requested by customers
• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code

Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening

Ability to understand business requirements and translate them into technical requirements

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

Role and responsibilities

• Expertise in AWS (Most typical Services),Docker & Kubernetes.
• Strong Scripting knowledge, Strong Devops Automation, Good at Linux
• Hands on with CI/CD (CircleCI preferred but any CI/CD tool will do). Strong Understanding of GitHub
• Strong understanding of AWS networking and. Strong with Security & Certificates.

Nice-to-have skills

• Involved in Product Engineering

Are you the one? Quick self-discovery test:

1. Love for the cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
2. Passion: When was the last time you went to a remote gas station while on vacation and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
3. Compassion for customers: You listen more than you speak.  When you do speak, people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on the cloud?

So what are we looking for?

• Experience in On-premises to AWS cloud Migration. 
• Linux and Windows servers knowledge .
• Application knowledge like Java, .net, Python, Ruby.
• On-premises to Cloud migration assessment experience as a must .
• Able to provide a detailed migration analysis report and present it to the customer.
• Creative problem-solving skills and superb communication skills. 
• Respond to technical queries / requests from team members and customers. 
• Ambitious individuals who can work under their own direction towards agreed targets/goals. 
• Ability to handle change and be open to it along with good time management and being able to work under stress. 
• Proven interpersonal skills while contributing to team effort by accomplishing related results as needed. 
• Maintain technical knowledge by attending educational workshops, reviewing publications.

Job Responsibilities:

1. Managing  initiatives for migration and modernization in AWS cloud environment 
2. Leads and builds Modernization architecture solution from (on-prem or VMWare) into modern platform (Cloud AWS) through modular design by understanding application components 
3. Leads and SME in Modernization methodology and can lead the Design thinking workshop, method tailoring as Client environment and Client industry
4. The 6 most common application migration strategies below required
1. Re-host (Referred to as a “lift and shift.”)
2. Re-platform (Referred to as “lift, tinker, and shift.”)
3. Re-factor / Re-architect  
4. Re-purchase 
5. Retire
6. Retain ( Referred to as re-visit.)
5. Application migration analysis experience like application compatibility on the cloud, Network, security support on cloud.

Qualifications:

1. Is Education overrated? Yes. We believe so. But there is no way to locate you otherwise. So we might look for at least a Bachelor’s or Master's degree in engineering from a reputed institute or you should be programming from 12. 
1. And the latter is better. We will find you faster if you specify the latter in some manner. Not just a degree, but we are not too thrilled by tech certifications too :)
2. Architects with 10+ total and 6+ years of experience on Modernization applications and led Architecture initiatives on AWS Modernization.
3. Managed and implemented at least 5 engagement modernizing client applications to AWS Cloud and on WebSphere and Java/J2EE or .NET.
4. Experience on using DevOps tools during Modernization.
5. Complete in-depth experience and knowledge of AWS as a product and its components.
6. AWS certification would be preferred.
7. Experience in Agile fundamentals and methodology.