DevOps Engineer

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

• Public clouds, such as AWS, Azure, or Google Cloud Platform
• Automation technologies, such as Kubernetes or Jenkins
• Configuration management tools, such as Puppet or Chef
• Scripting languages, such as Python or Ruby

Azure DeVops

On premises to Azure Migration

Docker, Kubernetes

Terraform CI CD pipeline

9+ Location

Budget – BG, Hyderabad, Remote , Hybrid –

Budget – up to 30 LPA

Experience of Linux

Experience using Python or Shell scripting (for Automation) 

Hands-on experience with Implementation of CI/CD Processes 

Experience working  with one cloud platforms (AWS or Azure or Google) 

Experience working with configuration management tools such as Ansible & Chef 

Experience working with   Containerization tool Docker.

Experience working with Container Orchestration tool Kubernetes.

Experience in source Control Management including SVN and/or Bitbucket

& GitHub

Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools 

Hands-on experience in Linux, Scripting Language & AWS is mandatory

Troubleshoot and Triage development, Production issues

Requirements and Qualifications

• Bachelor’s degree in Computer Science Engineering or in a related field
• 4+ years of experience
• Excellent analytical and problem-solving skills
• Strong knowledge of Linux systems and internals
• Programming experience in Python/Shell scripting
• Strong AWS skills with knowledge of EC2, VPC, S3, RDS, Cloudfront, Route53, etc
• Experience in containerization (Docker) and container orchestration (Kubernetes)
• Experience in DevOps & CI/CD tools such as Git, Jenkins, Terraform, Helm
• Experience with SQL & NoSQL databases such as MySql, MongoDB, and ElasticSearch
• Debugging and troubleshooting skills using tools such as strace, tcpdump, etc
• Good understanding of networking protocol and security concerns (VPN, VPC, IG, NAT, AZ, Subnet)
• Experience with monitoring and data analysis tools such as Prometheus, EFK, etc
• Good communication & collaboration skills and attention to details
• Participation in rotating on-call duties

Role 

We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.

You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.

This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.

Responsibilities

• Deployment, automation, management, and maintenance of production systems.
• Ensuring availability, performance, security, and scalability of production systems.
• Evaluation of new technology alternatives and vendor products.
• System troubleshooting and problem resolution across various application domains and platforms.
• Providing recommendations for architecture and process improvements.
• Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
• Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
• Be accountable for proper backup and disaster recovery procedures.
• Drive operational cost reductions through service optimizations and demand based auto scaling.
• Have on call responsibilities.
• Perform root cause analysis for production errors
• Uses open source technologies and tools to accomplish specific use cases encountered within the project.
• Uses coding languages or scripting methodologies to solve a problem with a custom workflow.

Requirements

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• Prior experience as a software developer in a couple of high level programming languages.

• Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)

• Extensive experience with web servers such as Nginx/Apache

• Strong Linux system administration background.
• Ability to present and communicate the architecture in a visual form.
• Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
• Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
• A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
• Expertise with Git
• Experience implementing CI/CD (e.g. Jenkins, TravisCI)
• Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
• Stellar troubleshooting skills with the ability to spot issues before they become problems.
• Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
• Time and project management skills, with the capability to prioritize and multitask as needed.

We are a growth-oriented, dynamic, multi-national startup, so those that are looking for that startup excitement, dynamics, and buzz are here at the right place. Read on -

FrontM (http://www.frontm.com/" target="_blank">www.frontm.com) is an edge AI company with a platform that is redefining how businesses and people in remote and isolated environments (maritime, aviation, mining....) collaborate and drive smart decisions.

Successful candidate will lead the back end architecture working alongside VP of delivery, CTO and CEO

The problem you will be working on:

- Take ownership of AWS cloud infrastructure

- Overlook tech ops with hands-on CI/CD and administration

- Develop Node.js Java and backend system procedures for stability, scale and performance

- Understand FrontM platform roadmap and contribute to planning strategic and tactical capabilities

- Integrate APIs and abstractions for complex requirements

Who you are:

- You are an experienced Cloud Architect and back end developer

- You have experience creating AWS Serverless Lambdas EC2 MongoDB backends

- You have extensive CI/CD and DevOps experience

- You can take ownership of continuous server uptime, maintenance, stability and performance

- You can lead a team of backend developers and architects

- You are a die-hard problem solver and never-say-no person

- You have 10+ years experience

- You are very sound in English language

- You have the ability to initiate and lead teams working with senior management

Additional benefits

- Generous pay package, flexible for the right candidate

- Career development and growth planning

- Entrepreneurial environment that nurtures and promotes innovation

- Multi-national team with an enjoyable culture

We'd love to talk to you if you find this interesting and like to join in on our exciting journey

• Azure Devops - Working experience in Azure yaml pipelines. (Note – Some say they worked in yaml but it’s for Jenkins and not Azure devops)
• Azure – Infrastructure automation using Terraform/ARM templates. (Note – Some say that they worked in terraform but it’s for AWS and not Azure). Please confirm Terraform for Azure infrastructure automation.
• Powershell scripting to automate and deploy .Net applications.