DevOps Engineer

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

 

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

 

Position Summary-

 

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

 

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

 

 

 

 

 

 

 

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

Mandatory:
● A minimum of 1 year of development, system design or engineering experience ●
Excellent social, communication, and technical skills
● In-depth knowledge of Linux systems
● Development experience in at least two of the following languages: Php, Go, Python,
JavaScript, C/C++, Bash
● In depth knowledge of web servers (Apache, NgNix preferred)
● Strong in using DevOps tools - Ansible, Jenkins, Docker, ELK
● Knowledge to use APM tools, NewRelic is preferred
● Ability to learn quickly, master our existing systems and identify areas of improvement
● Self-starter that enjoys and takes pride in the engineering work of their team ● Tried
and Tested Real-world Cloud Computing experience - AWS/ GCP/ Azure ● Strong
Understanding of Resilient Systems design
● Experience in Network Design and Management

Position Title: Cloud Engineer – Azure, Kubernetes
Position Level: Senior Engineer

Company Overview:

AskSid.ai is a 4 years old start-up based in Bangalore, is fast growing and cofounded by
two ex-Mindtree employees each with 20+ years of experience. We were rated the No1
emerging SaaS company in India and won the NASSCOM EMERGE 50- League of 10
awards in 2019. Also got rated as the most innovative AI company in India for 2020 by
CII and Accenture Ventures. As a growing company, we are looking for passionate
engineers who aspire to build world class technology products of internet scale.

Job purpose:

Setup, optimize, and maintain Kubernetes clusters on Microsoft Azure Cloud.
Responsibilities
● Setup, maintain, optimize, and secure various Kubernetes clusters on MS Azure
Cloud
● Setup and maintain containers, container availability, auto-scalability, storage
management, DNS, Proxy setup and maintain firewall, app gateway, and load
balancers on MS Azure Cloud.
● Build and manage backup, restore, and DR activities

Knowledge and skills
Education and Experience

• Engineering in computer science
• 3-5 years of experience in setup and management of Kubernetes infrastructure
• Expert level skills in analytical & problem solving
• Ability to communicate clearly in English

Technology Skills

• Microsoft Azure
• Kubernetes, AKS services as well as custom clusters on bare metal infrastructure
• Linux internals & services
• Docker, Docker Registry
• NGINX, Load Balancing, Firewall, Security, PKI
• Shell & Awk Script, Azure Templates & scripting, Python Scripting
• Knowledge of NoSQL Databases

• As a DevOps engineer, you will be responsible for
• Automated provisioning of infrastructure in AWS/Azure/OpenStack environments.
• Creation of CI/CD pipelines to ensure smooth delivery of projects.
• Proactive Monitoring of overall infrastructure (Logs/Resources etc)
• Deployment of application to various cloud environments.
• Should be able to lead/guide a team towards achieving goals and meeting the milestones defined.
• Practice and implement best practices in every aspect of project deliverable.
• Keeping yourself up to date with new frameworks and tools and enabling the team to use them.

Skills Required

• Experience in Automation of CI/CD processes using tools such as GIT, Gerrit, Jenkins, CircleCI, Azure Pipeline, Gitlab
• Experience in working with AWS and Azure platforms and Cloud-Native automation tools such as AWS cloud formation and Azure Resource Manager.
• Experience in monitoring solutions such as ELK Stack, Splunk, Nagios, Zabbix, Prometheus
• Web Server/Application Server deployments and administration.
• Good Communication, Team Handling, Problem-solving, Work Ethic, and Creativity.
• Work experience of at least 1 year in the following are mandatory.

If you do not have the relevant experience, please do not apply.

• Any cloud provider (AWS, GCP, Azure, OpenStack)
• Any of the configuration management tools (Ansible, Chef, Puppet, Terraform, Powershell DSC)
• Scripting languages (PHP, Python, Shell, Bash, etc.?
• Docker or Kubernetes
• Troubleshoot and debug infrastructure Network and operating system issues.

 

 

 

 

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills

 

Must-Have’s:

• Hands-on DevOps (Git, Ansible, Terraform, Jenkins, Python/Ruby)  

Job Description:

• Knowledge on what is a DevOps CI/CD Pipeline

• Understanding of version control systems like Git, including branching and merging strategies
• Knowledge of what is continuous delivery and integration tools like Jenkins, Github
• Knowledge developing code using Ruby or Python and Java or PHP 
• Knowledge writing Unix Shell (bash, ksh) scripts

• Knowledge of what is automation/configuration management using Ansible, Terraform, Chef or Puppet

• Experience and willingness to keep learning in a Linux environment
• Ability to provide after-hours support as needed for emergency or urgent situations

 

Nice to have’s:

• Proficient with container based products like docker and Kubernetes

• Excellent communication skills (verbal and written)

• Able to work in a team and be a team player
• Knowledge of PHP, MySQL, Apache and other open source software
• BA/BS in computer science or similar

• Design and develop software tools related to tracking, implementing, managing and presenting data. • Develop and maintain Cipher’s website. • Develop software tools which will automate various manual processes. • Develop and design dashboard and UI related tools. • Build, optimize, and maintain an easy-to-use, powerful web application. • Craft elegant solutions to challenging problems and actively look for ways to improve Cipher software tools and website. • Deliver reliable software through continuous integration, automated testing, and in-depth code reviews. • Work on a fast-moving team that delivers on shared commitments. • Work at all levels of the web stack. • Work closely with technical consultant, designers, other developers. • Innovate on new products and features that can reach millions of users.

Build, deploy and release automation engineer. Will be part of product development team and will be supporting the team with formulating different workflows for build, deploy and release. Product uses new age technologies such as GoLang, AngularJS, Docker etc. - 5 years of experience managing SCM & build environments. - Experience with GIT tooling and scripting. - Programming/scripting experience in Python, Bash etc - Branching, Versioning management and process automation. - Experience with Docker image management as part of product build and release. - Deployment on Cloud, on virtual machines. - Experience with service deployment on Kubernetes, Mesos etc will be added advantage.