Cloud Engineer

1.      Experience working on Linux Ubuntu, Nginx, Application Deployment & Implementation

2.      Excellent understanding of Python.

3.      Configuration and managing databases such as MySQL, Mongo

4.      Excellent troubleshooting

5.      Working knowledge of various tools, open-source technologies, and cloud services

6.      Awareness of critical concepts in DevOps and Agile principles

7.      Understanding customer requirements and project KPIs

8.      Implementing various development, testing, automation tools, and IT infrastructure

9.      Planning the team structure, activities, and involvement in project management activities.

10.   Managing stakeholders and external interfaces

11.   Setting up tools and required infrastructure

12.   Defining and setting development, test, release, update, and support processes for DevOps operation

13.   Have the technical skill to review, verify, and validate the software code developed in the project.

14.   Troubleshooting techniques and fixing the code bugs

15.   Monitoring the processes during the entire lifecycle for their adherence and updating or creating new processes for improvement and minimizing the wastage

16.   Encouraging and building automated processes wherever possible

17.   Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management

18.   Incidence management and root cause analysis

19.   Coordination and communication within the team and with customers

20.   Selecting and deploying appropriate CI/CD tools

21.   Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)

22.   Mentoring and guiding the team members 

23.   Monitoring and measuring customer experience and KPIs

24.   Managing periodic reporting on the progress to the management and the customer

DevOps: 
Solid experience as a DevOps Engineer in a 24x7 uptime AWS environment, including automation experience with configuration management tools.

Strong scripting skills and automation skills.

Expertise in Linux system administration.

Beneficial to have

• Basic DB administration experience (MySQL)
• Working knowledge of some of the major open-source web containers & servers like apache, tomcat and Nginx.
• Understanding network topologies and common network protocols and services (DNS, HTTP(S), SSH, FTP, SMTP).
• Experience in Docker, Ansible & Python.

Role & Responsibilities:

• Deploying, automating, maintaining and managing AWS cloud-based production system, to ensure the availability, performance, scalability and security of production systems.
• Build, release and configuration management of production systems.
• System troubleshooting and problem-solving across platform and application domains.
• Ensuring critical system security using best-in-class cloud security solutions.

THE POSITION

Ashnik is looking for experienced technology consultant to work in DevOps team in pre-sales function. The primary area of focus will be Microservices, CI/CD pipeline, Docker, Kubernetes, containerization and container security. A person in this role will be responsible for leading technical discussions with customers and partners and helping them arrive at final solution.

QUALIFICATION AND EXPERIENCE

• Engineering or equivalent degree
• Must have at least 8 years of experience in IT industry designing and delivering solutions
• Must have at least 3 years of hand-on experience of Linux and Operating system
• Must have at least 3 years of experience of working in an environment with highly virtualized or cloud based infrastructure
• Must have at least 2 years hands on experience in CI/CD pipeline, micro-services, containerization and kubernetes
• Though coding is not needed in this role, the person should have ability to understand and debug code if required
• Should be able to explain complex solution in simpler ways
• Should be ready to travel 20-40% in a month
• Should be able to engage with customers to understand the fundamental/driving requirement

DESIRED SKILLS

• Past experience of working with Docker and/or Kubernetes at Scale
• Past experience of working in a DevOps team
• Prior experience in Pre-sales role

RESPONSIBILITIES

• Own pre-sales or sales engineering responsibility to design, present, deliver technical solution
• Be the point of contact for all technical queries for Sales team and partners
• Build full-fledged solution proposals with details of implementation and scope of work for customers
• Contribute in technical writings through blogs, whitepapers, solution demos
• Make presentations at events and participate in events.
• Conduct customer workshops to educate them about features in Docker Enterprise Edition
• Coordinate technical escalations with principal vendor
• Get an understanding of various other components and considerations involved in the areas mentioned above
• Be able to articulate value of technology vendor’s products that Ashnik is partnering with eg.  Docker, Sysdig, Hashicorp, Ansible, Jenkins etc.
• Work with partners and sales team for responding to RFPs and tenders

WHAT IS IN IT FOR YOU?

You would be adding a great experience of working with a leading open source solutions company in South East Asia region to your career. You would get to learn from the leaders and grow in the industry. This would be a great opportunity for you to grow in your career through continuous learning, adding depth and breadth of technologies. Since we work with leading open source technologies and engage with large enterprises, it creates enormous possibilities for career growth for our team. Not to mention that our people find the journey with Ashnik to be exciting and a fulfilling experience.

Task:

• Need to run our software products in different international environments (on premise and cloud providers)
• Support the developers while debugging issues
• Analyse and monitor software during runtime to find bugs, performance issues and plan growth of the system
• Integrate new technologies to support our products while growing in the market
• Develop Continuous Integration and Continuous Deployment Pipelines
• Maintain our on premise hosted servers and applications, like operating system upgrades, software upgrades, introducing new database versions etc.
• Automation of task to reduce amount of human errors and parallelize work

We wish:

• Basic OS knowledge (Debian, CentOS, Suse Enterprise Linux)
• Webserver administration and optimization (Apache, Traefik)
• Database administration and optimization (Mysql/MariaDB, Oracle, Elasticsearch)
• jvm administration and optimization application server administration and optimization (Servicemix, Karaf, Glassfish, Springboot)
• Scripting experience (Perl, Python, PHP, Java)
• Monitoring experience (Icinga/Nagios, Appdynamics, Prometheus, Grafana)
• Knowledge container management (Docker/ContainerD, DC/OS, Kubernetes)
• Experience with automatic deployment processes (Ansible, Gitlab-CI, Helm)
• Define and optimize processes for system maintenance, continuous integration, and continuous delivery
• Excellent communication skill & proficiency in English is necessary
• Leadership skill with team motivational approach
• Good Team player

We Offer:

• Freedom to realise your own ideas & individual career & development opportunity.
• A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
• Professional challenges and career development opportunities.

Your Contact for this position is Janki Raval .

Would you like to become part of this highly innovative, dynamic, and exciting world?

We look forward to your expressive Resume.

• Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
• Administer a hybrid datacenter, including AWS and EC2 cloud assets
• Administer, automate and troubleshoot container based solutions deployed on AWS ECS
• Be able to troubleshoot problems and provide feedback to engineering on issues
• Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
• Learn and administer technologies such as ELK, Hadoop etc.
• A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.

Need to have

• Hands-on Experience in Cloud based DevOps
• Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
• Experience with any programming language.
• Experience using Ansible, Docker, Jenkins, Kubernetes
• Experience in Python.
• Should be very comfortable working in Linux/Unix environment.
• Exposure to Shell Scripting.
• Solid troubleshooting skills

• Proficient in Linux Commands line and troubleshooting.
• Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
• Hands-on experience with CI tooling preferably with Jenkins.
• Proficient in deployment using Ansible.
• Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
• Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
• Scripting languages: Bash, Python, Groovy.
• Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

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