Docker
Kubernetes
Amazon Web Services (AWS)
Jenkins
PythonOur client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
Shubham Vishwakarma
Full Stack Developer - Averlon
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- Deploy, manage, and maintain Azure cloud infrastructure ensuring high availability, scalability, and security.
- Champion and implement Infrastructure as Code (IaC) practices using Terraform.
- Build and maintain containerized environments using Kubernetes (AKS).
- Develop self-service, self-healing, monitoring, and alerting systems for cloud platforms.
- Automate development, testing, and deployment workflows using CI/CD pipelines.
- Integrate DevOps tools such as Git, Jenkins/Azure DevOps, SonarQube, Artifactory, and Docker to streamline delivery pipelines.
- Ensure platform observability through monitoring, logging, and alerting frameworks.
Requirements
- 6+ years of experience in Cloud / DevOps / Platform Engineering roles.
- Strong hands-on experience with Microsoft Azure cloud infrastructure.
- Experience working with Azure services such as compute, networking, storage, identity, and messaging services.
- Expertise in container orchestration using Kubernetes (AKS).
- Strong experience implementing Infrastructure as Code using Terraform.
- Familiarity with cloud-native and microservices architecture patterns.
- Experience with relational and NoSQL databases such as PostgreSQL or Cassandra.
Additional Skills
- Strong Linux administration and troubleshooting skills.
- Programming or scripting experience in Bash, Python, Java, or similar languages.
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KubernetesAmazon Web Services (AWS)About the Role:
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Key Responsibilities:
Cloud Management:
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- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
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- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
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Version Control & Collaboration:
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Automation & Scripting:
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Required Skills & Qualifications:
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- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
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DockerKubernetesAmazon Web Services (AWS)JenkinsDevOps Lead Engineer
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• Cloud and On-prem deployments
Infrastructure Design & Provisioning
• Infra provisioning.
• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
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deployment of software in the work environment and provide stable environment for delivery of
quality.
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automation systems that help to execute business web and data infrastructure platforms.
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DockerKubernetesAmazon Web Services (AWS)LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
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Responsibilities:
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Requirements:
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DockerKubernetesAmazon Web Services (AWS)Requirements
Core skills:
● Strong background in Linux / Unix Administration and
troubleshooting
● Experience with AWS (ideally including some of the following:
VPC, Lambda, EC2, Elastic Cache, Route53, SNS, Cloudwatch,
Cloudfront, Redshift, Open search, ELK etc.)
● Experience with Infra Automation and Orchestration tools
including Terraform, Packer, Helm, Ansible.
● Hands on Experience on container technologies like Docker,
Kubernetes/EKS, Gitlab and Jenkins as Pipeline.
● Experience in one or more of Groovy, Perl, Python, Go or
scripting experience in Shell.
● Good understanding of with Continuous Integration(CI) and
Continuous Deployment(CD) pipelines using tools like Jenkins,
FlexCD, ArgoCD, Spinnaker etc
● Working knowledge of key value stores, database technologies
(SQL and NoSQL), Mongo, mySQL
● Experience with application monitoring tools like Prometheus,
Grafana, APM tools like NewRelic, Datadog, Pinpoint
● Good exposure on middleware components like ELK, Redis, Kafka
and IOT based systems including Redis, NewRelic, Akamai,
Apache / Nginx, ELK, Grafana, Prometheus etc
Good to have:
● Prior experience in Logistics, Payment and IOT based applications
● Experience in unmanaged mongoDB cluster, automations &
operations, analytics
● Write procedures for backup and disaster recovery
Core Experience
● 3-5 years of hands-on DevOps experience
● 2+ years of hands-on Kubernetes experience
● 3+ years of Cloud Platform experience with special focus on
Lambda, R53, SNS, Cloudfront, Cloudwatch, Elastic Beanstalk,
RDS, Open Search, EC2, Security tools
● 2+ years of scripting experience in Python/Go, shell
● 2+ years of familiarity with CI/CD, Git, IaC, Monitoring, and
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JavascriptWe are looking for an experienced DevOps engineer that will help our team establish DevOps
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- System troubleshooting and problem resolution across various application domains and
platforms.
- Providing recommendations for architecture and process improvements.
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platform.
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by storing infrastructure as code and employing automated configuration
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time.
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workflow.
Requirements
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sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming
languages.
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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
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- 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.
DockerJenkins| CI/CD tools Jenkins/Bamboo/Teamcity/CircleCI, DevSecOps Pipeline, Cloud Services (AWS/Azure/GCP), Ansible, Terraform, Docker, Helm, Cloud formation template, Webserver deployment & config, Databases(SQL/NoSQL) deployment & config, Git, Artifactory, Monitoring tools (Nagios, Grafana, Prometheus etc), Application logs (ELK/EFK, Splunk etc.), API Gateways, Security tools, Vault. |
DockerKubernetesAmazon Web Services (AWS)- 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)
DockerKubernetesYour Role:
- Serve as a primary point responsible for the overall health, performance, and capacity of one or more of our Internet-facing services
- Gain deep knowledge of our complex applications
- Assist in the roll-out and deployment of new product features and installations to facilitate our rapid iteration and constant growth
- Develop tools to improve our ability to rapidly deploy and effectively monitor custom applications in a large-scale UNIX environment
- Work closely with development teams to ensure that platforms are designed with "operability" in mind.
- Function well in a fast-paced, rapidly-changing environment
- Should be able to lead a team of smart engineers
- Should be able to strategically guide the team to greater automation adoption
Must Have:
- Experience Building/managing DevOps/SRE teams
- Strong in troubleshooting/debugging Systems, Network and Applications
- Strong in Unix/Linux operating systems and Networking
- Working knowledge of Open source technologies in Monitoring, Deployment and incident management
Good to Have:
- Minimum 3+ years of team management experience
- Experience in Containers and orchestration layers like Kubernetes, Mesos/Marathon
- Proven experience in programming & diagnostics in any languages like Go, Python, Java
- Experience in NoSQL/SQL technologies like Cassandra/MySQL/CouchBase etc.
- Experience in BigData technologies like Kafka/Hadoop/Airflow/Spark
- Is a die-hard sports fan
Programming
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Full Stack Developer - Averlon