Implement DevOps capabilities in cloud offerings using CI/CD toolsets and automation
Defining and setting development, test, release, update, and support processes for DevOps
operation
Troubleshooting techniques and fixing the code bugs
Coordination and communication within the team and with client team
Selecting and deploying appropriate CI/CD tools
Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
Pre-requisite skills required:
Experience working on Linux based infrastructure
Experience of scripting in at-least 2 languages ( Bash + Python / Ruby )
Working knowledge of various tools, open-source technologies, and cloud services
Experience with Docker, AWS ( ec2, s3, iam, eks, route53), Ansible, Helm, Terraform
Experience with building, maintaining, and deploying Kubernetes environments and
applications
Experience with build and release automation and dependency management; implementing
CI/CD
Clear fundamentals with DNS, HTTP, HTTPS, Micro-Services, Monolith etc.
Similar jobs
Key Sills Required for Lead DevOps Engineer
Containerization Technologies
Docker, Kubernetes, OpenShift
Cloud Technologies
AWS/Azure, GCP
CI/CD Pipeline Tools
Jenkins, Azure Devops
Configuration Management Tools
Ansible, Chef,
SCM Tools
Git, GitHub, Bitbucket
Monitoring Tools
New Relic, Nagios, Prometheus
Cloud Infra Automation
Terraform
Scripting Languages
Python, Shell, Groovy
· Ability to decide the Architecture for the project and tools as per the availability
· Sound knowledge required in the deployment strategies and able to define the timelines
· Team handling skills are a must
· Debugging skills are an advantage
· Good to have knowledge of Databases like Mysql, Postgresql
It is advantageous to be familiar with Kafka. RabbitMQ
· Good to have knowledge of Web servers to deploy web applications
· Good to have knowledge of Code quality checking tools like SonarQube and Vulnerability scanning
· Advantage to having experience in DevSecOps
Note: Tools mentioned in bold are a must and others are added advantage
- 3 - 6 years of software development, and operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Experience managing any distributed NoSQL system (Kafka/Cassandra/etc.)
- Experience with Containers, Microservices, deployment and service orchestration using Kubernetes, EKS (preferred), AKS or GKE.
- Strong scripting language knowledge, such as Python, Shell
- Experience and a deep understanding of Kubernetes.
- Experience in Continuous Integration and Delivery.
- Work collaboratively with software engineers to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux-based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
- AWS
- Docker
- Kubernetes
- Envoy
- Istio
- Jenkins
- Cloud Security & SIEM stacks
- Terraform
-
4+ years of experience in IT and infrastructure
-
2+ years of experience in Azure Devops
-
Experience with Azure DevOps using both as CI / CD tool and Agile framework
-
Practical experience building and maintaining automated operational infrastructure
-
Experience in building React or Angular applications, .NET is must.
-
Practical experience using version control systems with Azure Repo
-
Developed and maintained scripts using Power Shell, ARM templates/ Terraform scripts for Infrastructure as a Code.
-
Experience in Linux shell scripting (Ubuntu) is must
-
Hands on experience with release automation, configuration and debugging.
-
Should have good knowledge of branching and merging
-
Integration of tools like static code analysis tools like SonarCube and Snky or static code analyser tools is a must.
Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days
Job Descrtiption:
Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB
Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.
Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application
Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator
Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support, implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.
- Automate deployments of infrastructure components and repetitive tasks.
- Drive changes strictly via the infrastructure-as-code methodology.
- Promote the use of source control for all changes including application and system-level changes.
- Design & Implement self-recovering systems after failure events.
- Participate in system sizing and capacity planning of various components.
- Create and maintain technical documents such as installation/upgrade MOPs.
- Coordinate & collaborate with internal teams to facilitate installation & upgrades of systems.
- Support 24x7 availability for corporate sites & tools.
- Participate in rotating on-call schedules.
- Actively involved in researching, evaluating & selecting new tools & technologies.
- Cloud computing – AWS, OCI, OpenStack
- Automation/Configuration management tools such as Terraform & Chef
- Atlassian tools administration (JIRA, Confluence, Bamboo, Bitbucket)
- Scripting languages - Ruby, Python, Bash
- Systems administration experience – Linux (Redhat), Mac, Windows
- SCM systems - Git
- Build tools - Maven, Gradle, Ant, Make
- Networking concepts - TCP/IP, Load balancing, Firewall
- High-Availability, Redundancy & Failover concepts
- SQL scripting & queries - DML, DDL, stored procedures
- Decisive and ability to work under pressure
- Prioritizing workload and multi-tasking ability
- Excellent written and verbal communication skills
- Database systems – Postgres, Oracle, or other RDBMS
- Mac automation tools - JAMF or other
- Atlassian Datacenter products
- Project management skills
Qualifications
- 3+ years of hands-on experience in the field or related area
- Requires MS or BS in Computer Science or equivalent field
Requirements:
● Knowledge of building micro-services.
● Experience in managing cloud infrastructure with disaster recovery and security in
mind (AWS, GCP, Azure).
● Experience with High Availability clusters setup.
● Experience in creating alerting and monitoring strategies.
● Strong debugging skills.
● Experience with 0 downtime Continuous Delivery setup (Jenkins, AWS Code
Deploy, Team City, Go CD etc).
● Experience with Infrastructure as Code & Automation tools (Bash, Ansible,
Puppet, Chef, Terraform etc).
● Master of *nix systems, including working with docker, process & network
monitoring tools.
● Knowledge of monitoring tools like New Relic, App Dynamics etc.
● Experience with Messaging systems (RMQ, Kafka etc. ).
● Knowledge of DevOps Intelligence.
● Experience in setting up & driving DevOps initiatives in side the org Excellen.
● Good team player.
● Good to have experience in Kubernetes cluster management.
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
- Lead, inspire, and influence to make sure your team is successful
- Partner with the recruiting team to attract and retain high-quality and diverse talent
- Establish great rapport with other development teams, Product Managers, Sales, and Customer Success to maintain high levels of visibility, efficiency, and collaboration
- Ensure teams have appropriate technical direction, leadership, and balance between short-term impact and long-term architectural vision.
- Occasionally contributing to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical acumen sharp
You'll need:
- BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
- Strong fundamentals in distributed systems design and development
- Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
- Experience running production services in Public Clouds such as AWS, GCP, and Azure
- Experience with running large stateful data systems in the Cloud
- Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization, orchestration, elastic scalability)
- A great track record of shipping features and hitting deadlines consistently; should be able to move fast, build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
- Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team
- Strong experience using Java programming languages or DevOps on Google Cloud.
- Strong communication skills.
- Experience in Agile methodologies
- Certification on Professional Google Cloud Data engineer will be an added advantage.
- Experience on Google Cloud Platform.
- Experience on Java or DevOps
Required Key Skills :
- Excellent verbal and written communication and interpersonal skills.
- Ability to work independently and within a team environment.
- Interpersonal skills
- GCP, Cloud, Programming
- Agile
- Java programming language or DevOps experience.
CTC- 4L - 7L
Mandatory Skills Sets
- Excellent problem-solving skills in technical challenges
- Deep knowledge of at least one cloud platform (AWS Preferred)
- Understanding of Latest cloud computing technologies
- Experience in architecting solutions based on knowledge of infrastructure & application architectures including the integration approaches
- Complete hands-on with ability to grasp evolving technologies and coding languages
- Excellent communication skills which would involve customer facing role
- Design thinking
- Customer facing skills and strong technical capabilities to review the teams work as well as guide the team
- Experience working/building/contributing to proposals for architecture, estimations
Preferred Skills Sets
- Experience architecting infrastructure solutions using both Linux/Unix and Windows with specific recommendations on server, load balancing, HA/DR, & storage architectures.
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
- Person must have performed Application Architect Role for 3+ years
- AWS platform specific experience a bonus.
- Enterprise application and database architecture a bonus.