Job Description:
Responsibilities
· Having E2E responsibility for Azure landscape of our customers
· Managing to code release and operational tasks within a global team with a focus on automation, maintainability, security and customer satisfaction
· Make usage of CI/CD framework to rapidly support lifecycle management of the platform
· Acting as L2-L3 support for incidents, problems and service request
· Work with various Atos and 3rd party teams to resolve incidents and implement changes
· Implement and drive automation and self-healing solutions to reduce toil
· Enhance error budgets and hands on design and development of solutions to address reliability issues and/or risks
· Support ITSM processes and collaborate with service management representatives
Job Requirements
· Azure Associate certification or equivalent knowledge level
· 5+ years of professional experience
· Experience with Terraform and/or native Azure automation
· Knowledge of CI/CD concepts and toolset (i.e. Jenkins, Azure DevOps, Git)
· Must be adaptable to work in a varied, fast paced exciting, ever changing environment
· Good analytical and problem-solving skills to resolve technical issues
· Understanding of Agile development and SCRUM concepts a plus
· Experience with Kubernetes architecture and tools a plus
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About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
- Write scripts to optimize and maintain workflows.
Monitoring & Logging:
- Implement and maintain monitoring solutions to ensure system health and performance.
- Analyze logs and metrics to troubleshoot and resolve issues.
Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with serverless architectures and microservices.
Job Overview:
You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.
Experience:
- Experience working on billing and budgets for a GCP project - MUST
- Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
- Experience in implementing the recommendations on GCP
- Architect Certifications on GCP - MUST
- Excellent communication skills (both verbal & written) - MUST
- Excellent documentation skills on processes and steps and instructions- MUST
- At least 2 years of experience on GCP.
Basic Qualifications:
- Bachelor’s/Master’s Degree in Engineering OR Equivalent.
- Extensive scripting or programming experience (Shell Script, Python).
- Extensive experience working with CI/CD (e.g. Jenkins).
- Extensive experience working with GCP, Azure, or Cloud Foundry.
- Experience working with databases (PostgreSQL, elastic search).
- Must have 2 years of minimum experience with GCP certification.
Benefits :
- Competitive salary.
- Work from anywhere.
- Learning and gaining experience rapidly.
- Reimbursement for basic working set up at home.
- Insurance (including top-up insurance for COVID).
Location :
Remote - work from anywhere.
Ideal joining preferences:
Immediate or 15 days
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.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
We are a boutique IT services & solutions firm headquartered in the Bay Area with offices in India. Our offering includes custom-configured hybrid cloud solutions backed by our managed services. We combine best in class DevOps and IT infrastructure management practices, to manage our clients Hybrid Cloud Environments.
In addition, we build and deploy our private cloud solutions using Open stack to provide our clients with a secure, cost effective and scale able Hybrid Cloud solution. We work with start-ups as well as enterprise clients.
This is an exciting opportunity for an experienced Cloud Engineer to work on exciting projects and have an opportunity to expand their knowledge working on adjacent technologies as well.
Must have skills
• Provisioning skills on IaaS cloud computing for platforms such as AWS, Azure, GCP.
• Strong working experience in AWS space with various AWS services and implementations (i.e. VPCs, SES, EC2, S3, Route 53, Cloud Front, etc.)
• Ability to design solutions based on client requirements.
• Some experience with various network LAN/WAN appliances like (Cisco routers and ASA systems, Barracuda, Meraki, SilverPeak, Palo Alto, Fortinet, etc.)
• Understanding of networked storage like (NFS / SMB / iSCSI / Storage GW / Windows Offline)
• Linux / Windows server installation, maintenance, monitoring, data backup and recovery, security, and administration.
• Good knowledge of TCP/IP protocol & internet technologies.
• Passion for innovation and problem solving, in a start-up environment.
• Good communication skills.
Good to have
• Remote Monitoring & Management.
• Familiarity with Kubernetes and Containers.
• Exposure to DevOps automation scripts & experience with tools like Git, bash scripting, PowerShell, AWS Cloud Formation, Ansible, Chef or Puppet will be a plus.
• Architect / Practitioner certification from OEM with hands-on capabilities.
What you will be working on
• Trouble shoot and handle L2/ L3 tickets.
• Design and architect Enterprise Cloud systems and services.
• Design, Build and Maintain environments primarily in AWS using EC2, S3/Storage, CloudFront, VPC, ELB, Auto Scaling, Direct Connect, Route53, Firewall, etc.
• Build and deploy in GCP/ Azure as needed.
• Architect cloud solutions keeping performance, cost and BCP considerations in mind.
• Plan cloud migration projects as needed.
• Collaborate & work as part of a cohesive team.
• Help build our private cloud offering on Open stack.
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Implement consistent observability, deployment and IaC setups
- Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
- Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Lead infrastructure security audits
Requirements
- At least 7 years of experience in handling/building Production environments in AWS.
- At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Experience in security hardening of infrastructure, systems and services.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.
Our 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.
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
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.