
As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.
- Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Working on Docker images and maintaining Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Working on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
- Required Technical and Professional Expertise.
- Minimum 4-6 years of experience in IT industry.
- Expertise in implementing and managing Devops CI/CD pipeline.
- Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
- Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
- Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience with working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience and well versed with Jira tool is a plus.
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

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Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients
We are looking for an excellent experienced person in the Dev-Ops field. Be a part of a vibrant, rapidly growing tech enterprise with a great working environment. As a DevOps Engineer, you will be responsible for managing and building upon the infrastructure that supports our data intelligence platform. You'll also be involved in building tools and establishing processes to empower developers to
deploy and release their code seamlessly.
Responsibilities
The ideal DevOps Engineers possess a solid understanding of system internals and distributed systems.
Understanding accessibility and security compliance (Depending on the specific project)
User authentication and authorization between multiple systems,
servers, and environments
Integration of multiple data sources and databases into one system
Understanding fundamental design principles behind a scalable
application
Configuration management tools (Ansible/Chef/Puppet), Cloud
Service Providers (AWS/DigitalOcean), Docker+Kubernetes ecosystem is a plus.
Should be able to make key decisions for our infrastructure,
networking and security.
Manipulation of shell scripts during migration and DB connection.
Monitor Production Server Health of different parameters (CPU Load, Physical Memory, Swap Memory and Setup Monitoring tool to
Monitor Production Servers Health, Nagios
Created Alerts and configured monitoring of specified metrics to
manage their cloud infrastructure efficiently.
Setup/Managing VPC, Subnets; make connection between different zones; blocking suspicious ip/subnet via ACL.
Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade
AWS resources (CPU, Memory, EBS)
The candidate would be Responsible for managing microservices at scale maintain the compute and storage infrastructure for various product teams.
Strong Knowledge about Configuration Management Tools like –
Ansible, Chef, Puppet
Extensively worked with Change tracking tools like JIRA and log
Analysis, Maintaining documents of production server error log's
reports.
Experienced in Troubleshooting, Backup, and Recovery
Excellent Knowledge of Cloud Service Providers like – AWS, Digital
Ocean
Good Knowledge about Docker, Kubernetes eco-system.
Proficient understanding of code versioning tools, such as Git
Must have experience working in an automated environment.
Good knowledge of Amazon Web Service Architects like – Amazon EC2, Amazon S3 (Amazon Glacier), Amazon VPC, Amazon Cloud Watch.
Scheduling jobs using crontab, Create SWAP Memory
Proficient Knowledge about Access Management (IAM)
Must have expertise in Maven, Jenkins, Chef, SVN, GitHub, Tomcat, Linux, etc.
Candidate Should have good knowledge about GCP.
EducationalQualifications
B-Tech-IT/M-Tech -/MBA- IT/ BCA /MCA or any degree in the relevant field
EXPERIENCE: 2-6 yr
Position: Senior DevOps Engineer (Azure Cloud Infra & Application deployments)
Location:
Hyderabad
Hiring a Senior
DevOps engineer having 2 to 5 years of experience.
Primary Responsibilities
Strong Programming experience in PowerShell and batch
scripts.
Strong expertise in Azure DevOps, GitLab, CI/CD, Jenkins and
Git Actions, Azure Infrastructure.
Strong
experience in configuring infrastructure and Deployments application in
Kubernetes, docker & Helm charts, App Services, Server less, SQL database, Cloud
services and Container deployment.
Continues
Integration, deployment, and version control (Git/ADO).
Strong experience in managing and configuring RBAC, managed identity and
security best practices for cloud environments.
Strong verbal and written communication skills.
Experience with agile development process.
·
Good analytical skills
Additional Responsibility.
Familiar with
various design and architecture patterns.
Work with modern frameworks and design patterns.
Experience with cloud applications Azure/AWS. Should have experience in developing solutions and plugins and should have used XRM Toolbox/ToolKit.
Exp in Customer Portal and Fetchxml and Power Apps and Power Automate is good to have.
- Hands on experience in AWS provisioning of AWS services like EC2, S3,EBS, AMI, VPC, ELB, RDS, Auto scaling groups, Cloud Formation.
- Good experience on Build and release process and extensively involved in the CICD using
Jenkins
- Experienced on configuration management tools like Ansible.
- Designing, implementing and supporting fully automated Jenkins CI/CD
- Extensively worked on Jenkins for continuous Integration and for end to end Automation for all Builds and Deployments.
- Proficient with Docker based container deployments to create shelf environments for dev teams and containerization of environment delivery for releases.
- Experience working on Docker hub, creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
- Good knowledge in version control system in Git and GitHub.
- Good experience in build tools
- Implemented CI/CD pipeline using Jenkins, Ansible, Docker, Kubernetes ,YAML and Manifest
- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
Experience and Education
• Bachelor’s degree in engineering or equivalent.
Work experience
• 4+ years of infrastructure and operations management
Experience at a global scale.
• 4+ years of experience in operations management, including monitoring, configuration management, automation, backup, and recovery.
• Broad experience in the data center, networking, storage, server, Linux, and cloud technologies.
• Broad knowledge of release engineering: build, integration, deployment, and provisioning, including familiarity with different upgrade models.
• Demonstratable experience with executing, or being involved of, a complete end-to-end project lifecycle.
Skills
• Excellent communication and teamwork skills – both oral and written.
• Skilled at collaborating effectively with both Operations and Engineering teams.
• Process and documentation oriented.
• Attention to details. Excellent problem-solving skills.
• Ability to simplify complex situations and lead calmly through periods of crisis.
• Experience implementing and optimizing operational processes.
• Ability to lead small teams: provide technical direction, prioritize tasks to achieve goals, identify dependencies, report on progress.
Technical Skills
• Strong fluency in Linux environments is a must.
• Good SQL skills.
• Demonstratable scripting/programming skills (bash, python, ruby, or go) and the ability to develop custom tool integrations between multiple systems using their published API’s / CLI’s.
• L3, load balancer, routing, and VPN configuration.
• Kubernetes configuration and management.
• Expertise using version control systems such as Git.
• Configuration and maintenance of database technologies such as Cassandra, MariaDB, Elastic.
• Designing and configuration of open-source monitoring systems such as Nagios, Grafana, or Prometheus.
• Designing and configuration of log pipeline technologies such as ELK (Elastic Search Logstash Kibana), FluentD, GROK, rsyslog, Google Stackdriver.
• Using and writing modules for Infrastructure as Code tools such as Ansible, Terraform, helm, customize.
• Strong understanding of virtualization and containerization technologies such as VMware, Docker, and Kubernetes.
• Specific experience with Google Cloud Platform or Amazon EC2 deployments and virtual machines.c
At Neurosensum we are committed to make customer feedback more actionable. We have developed a platform called SurveySensum which breaks the conventional market research turnaround time.
SurveySensum is becoming a great tool to not only capture the feedbacks but also to extract some useful insights with the quick workflow setups and dashboards. We have more than 7 channels through which we can collect the feedbacks. This makes us challenge the conventional software development design principles. The team likes to grind and helps each other to lift in tough situations.
Day to day responsibilities include:
- Work on the deployment of code via Bitbucket, AWS CodeDeploy and manual
- Work on Linux/Unix OS and Multi tech application patching
- Manage, coordinate, and implement software upgrades, patches, and hotfixes on servers.
- Create and modify scripts or applications to perform tasks
- Provide input on ways to improve the stability, security, efficiency, and scalability of the environment
- Easing developers’ life so that they can focus on the business logic rather than deploying and maintaining it.
- Managing release of the sprint.
- Educating team of the best practices.
- Finding ways to avoid human error and save time by automating the processes using Terraform, CloudFormation, Bitbucket pipelines, CodeDeploy, scripting
- Implementing cost effective measure on cloud and minimizing existing costs.
Skills and prerequisites
- OOPS knowledge
- Problem solving nature
- Willing to do the R&D
- Works with the team and support their queries patiently
- Bringing new things on the table - staying updated
- Pushing solution above a problem.
- Willing to learn and experiment
- Techie at heart
- Git basics
- Basic AWS or any cloud platform – creating and managing ec2, lambdas, IAM, S3 etc
- Basic Linux handling
- Docker and orchestration (Great to have)
- Scripting – python (preferably)/bash
We are looking for people with programming skills in Python, SQL, Cloud Computing. Candidate should have experience in at least one of the major cloud-computing platforms - AWS/Azure/GCP. He should professioanl experience in handling applications and databases in the cloud using VMs and Docker images. He should have ability to design and develop applications for the cloud.
You will be responsible for
- Leading the DevOps strategy and development of SAAS Product Deployments
- Leading and mentoring other computer programmers.
- Evaluating student work and providing guidance in the online courses in programming and cloud computing.
Desired experience/skills
Qualifications: Graduate degree in Computer Science or related field, or equivalent experience.
Skills:
- Strong programming skills in Python, SQL,
- Cloud Computing
Experience:
2+ years of programming experience including Python, SQL, and Cloud Computing. Familiarity with command line working environment.
Note: A strong programming background, in any language and cloud computing platform is required. We are flexible about the degree of familiarity needed for the specific environments Python, SQL. If you have extensive experience in one of the cloud computing platforms and less in others you should still, consider applying.
Soft Skills:
- Good interpersonal, written, and verbal communication skills; including the ability to explain the concepts to others.
- A strong understanding of algorithms and data structures, and their performance characteristics.
- Awareness of and sensitivity to the educational goals of a multicultural population would also be desirable.
- Detail oriented and well organized.
Your skills and experience should cover:
-
5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).
-
Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.
-
5+ years of experience using one or more modern programming languages (Python, Node.js).
-
Hands-on experience migrating data to the AWS cloud platform
-
Experience with Scrum/Agile methodology.
-
Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)
-
Experience with AWS Data Storage Tools.
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Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.
-
Experience working with GIT, or similar tools.
-
Ability to communicate and represent AWS Recommendations and Standards.
The following areas are highly advantageous:
-
Experience with Docker
-
Experience with PostgreSQL database










