Amazon Web Services (AWS)
GitWhat we are looking for
Work closely with product & engineering groups to identify and document
infrastructure requirements.
Design infrastructure solutions balancing requirements, operational
constraints and architecture guidelines.
Implement infrastructure including network connectivity, virtual machines
and monitoring.
Implement and follow security guidelines, both policy and technical to
protect our customers.
Resolve incidents as escalated from monitoring solutions and lower tiers.
Identify root cause for issues and develop long term solutions to fix recurring
issues.
Ability to automate recurring tasks to increase velocity and quality.
Partner with the engineering team to build software tolerance for
infrastructure failure or issues.
Research emerging technologies, trends and methodologies and enhance
existing systems and processes.
Qualifications
Master’s/Bachelors degree in Computer Science, Computer Engineering,
Electrical Engineering, or related technical field, and two years of experience
in software/systems or related.
5+ years overall experience.
Work experience must have included:
Proven track record in deploying, configuring and maintaining Ubuntu server
systems on premise and in the cloud.
Minimum of 4 years’ experience designing, implementing and troubleshooting
TCP/IP networks, VPN, Load Balancers & Firewalls.
Minimum 3 years of experience working in public clouds like AWS & Azure.
Hands on experience in any of the configuration management tools like Anisble,
Chef & Puppet.
Strong in performing production operation activities.
Experience with Container & Container Orchestrator tools like Kubernetes, Docker
Swarm is plus.
Good at source code management tools like Bitbucket, GIT.
Configuring and utilizing monitoring and alerting tools.
Scripting to automate infrastructure and operational processes.
Hands on work to secure networks and systems.
Sound problem resolution, judgment, negotiating and decision making skills
Ability to manage and deliver multiple project phases at the same time
Strong analytical and organizational skills
Excellent written and verbal communication skills
Interview focus areas
Networks, systems, monitoring
AWS (EC2, S3, VPC)
Problem solving, scripting, network design, systems administration and
troubleshooting scenarios
Culture fit, agility, bias for action, ownership, communication
Shubham Vishwakarma
Full Stack Developer - Averlon
About Mobile Programming LLC
About
Mobile programming LLC is a US based MNC company. Our services are focused on Mobility Solutions, Custom App Development, Cloud Solutions, IoT, AR/VR, Blockchain, Artificial Intelligence & Machine Learning, Predictive Analytics & Big Data Solutions, and several other trending as well as emerging technologies.
You can find more details on - https://www.mobileprogramming.com/
Company video
Connect with the team
Company social profiles
Similar jobs
Associate Principal Engineer, Linux Administrator
Location: Bengaluru, India (Hybrid)
Employment Type: Full-time
Experience:9-11 years
Job description
REQUIREMENTS:
- Strong experience in DevOps, Platform Engineering, and Infrastructure Automation
- Deep hands-on expertise in Linux Administration (RHEL, CentOS, Ubuntu) – OS hardening, security, patching, and performance management (Must Have)
- Strong experience with Cloud Technologies – Public & Private Cloud environments (Must Have)
- Hands-on experience with Infrastructure as Code (IaC) using Terraform (Must Have)
- Strong automation expertise using Ansible for configuration management and infrastructure provisioning (Must Have)
- Experience building and managing CI/CD pipelines and end-to-end deployment automation
- Strong experience with Kubernetes administration, orchestration, and cluster management (Must Have)
- Hands-on experience with Docker containerization and Helm package management
- Experience managing large-scale development and infrastructure environments
- Strong understanding of Networking concepts, connectivity, design, troubleshooting, and network automation
- Experience with Observability & Monitoring tools and best practices
- Experience with Proxmox virtualization platform administration and management
- Knowledge of Edge Technologies and distributed infrastructure environments
- Basic understanding and administration of Active Directory (AD)
- Experience implementing AI-driven Automation solutions and operational efficiencies
- Strong understanding of infrastructure security, compliance, and governance
- Experience working in Agile/Scrum environments
- Strong troubleshooting, analytical, and problem-solving skills
- Excellent communication and stakeholder management skills
RESPONSIBILITIES:
- Design, build, and manage scalable infrastructure platforms across cloud and on-premise environments
- Administer and maintain Linux servers including security hardening, patching, performance tuning, and troubleshooting
- Develop and manage Infrastructure as Code (IaC) solutions using Terraform
- Automate infrastructure provisioning, configuration management, and operational tasks using Ansible
- Design, implement, and maintain CI/CD pipelines for application and infrastructure deployments
- Deploy, manage, and optimize Kubernetes clusters and containerized workloads
- Manage Docker environments and Helm-based application deployments
- Design and implement network solutions ensuring security, reliability, and scalability
- Monitor infrastructure health, performance, and availability using observability and monitoring tools
- Manage and support Proxmox virtualization environments
- Implement AI-driven automation initiatives to improve operational efficiency and reduce manual effort
- Support edge infrastructure deployments and distributed computing environments
- Collaborate with development, security, and operations teams to deliver reliable platform services
- Troubleshoot production incidents and perform root cause analysis
- Define infrastructure standards, automation frameworks, and operational best practices
- Ensure high availability, scalability, security, and reliability of infrastructure platforms
- Mentor junior engineers and provide technical leadership on DevOps and platform engineering initiatives
- Participate in Agile ceremonies and contribute to continuous improvement initiatives
- Work closely with stakeholders to understand infrastructure requirements and deliver optimal solutions
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
KubernetesAmazon Web Services (AWS)
GitHub
JenkinsDevOps Engineer
AiSensy
Gurugram, Haryana, India (On-site)
About AiSensy
AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp.
- Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
- 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year
- Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more
- High Impact as Businesses drive 25-80% Revenues using AiSensy Platform
- Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors
Now, we’re looking for a DevOps Engineer to help scale our infrastructure and optimize performance for millions of users. 🚀
What You’ll Do (Key Responsibilities)
🔹 CI/CD & Automation:
- Implement, manage, and optimize CI/CD pipelines using AWS CodePipeline, GitHub Actions, or Jenkins.
- Automate deployment processes to improve efficiency and reduce downtime.
🔹 Infrastructure Management:
- Use Terraform, Ansible, Chef, Puppet, or Pulumi to manage infrastructure as code.
- Deploy and maintain Dockerized applications on Kubernetes clusters for scalability.
🔹 Cloud & Security:
- Work extensively with AWS (Preferred) or other cloud platforms to build and maintain cloud infrastructure.
- Optimize cloud costs and ensure security best practices are in place.
🔹 Monitoring & Troubleshooting:
- Set up and manage monitoring tools like CloudWatch, Prometheus, Datadog, New Relic, or Grafana to track system performance and uptime.
- Proactively identify and resolve infrastructure-related issues.
🔹 Scripting & Automation:
- Use Python or Bash scripting to automate repetitive DevOps tasks.
- Build internal tools for system health monitoring, logging, and debugging.
What We’re Looking For (Must-Have Skills)
✅ Version Control: Proficiency in Git (GitLab / GitHub / Bitbucket)
✅ CI/CD Tools: Hands-on experience with AWS CodePipeline, GitHub Actions, or Jenkins
✅ Infrastructure as Code: Strong knowledge of Terraform, Ansible, Chef, or Pulumi
✅ Containerization & Orchestration: Experience with Docker & Kubernetes
✅ Cloud Expertise: Hands-on experience with AWS (Preferred) or other cloud providers
✅ Monitoring & Alerting: Familiarity with CloudWatch, Prometheus, Datadog, or Grafana
✅ Scripting Knowledge: Python or Bash for automation
Bonus Skills (Good to Have, Not Mandatory)
➕ AWS Certifications: Solutions Architect, DevOps Engineer, Security, Networking
➕ Experience with Microsoft/Linux/F5 Technologies
➕ Hands-on knowledge of Database servers
DockerKubernetesAmazon Web Services (AWS)Main tasks
- Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
- Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
- Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
- Implementation of installations of the solution especially in the container context
- Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
- Maintenance of the system installation documentation and implementation of trainings
Execution of internal software tests and support of involved teams and stakeholders
- Hands on Experience with Azure DevOps.
Qualification profile
- Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
- Experience in software
- Installation and administration of Linux and Windows systems including network and firewalling aspects
- Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
- Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
- Server environments, especially application, web-and database servers
- Knowledge in VMware/K3D/Rancer is an advantage
- Good spoken and written knowledge of English
DockerJenkinsKubernetesAmazon Web Services (AWS)Come Dive In
The DevOps Engineer will execute the tools and processes to enable DevOps.
Engage in and improve the whole lifecycle of services from inception and design through deployment, operation, and refinement to efficiently deliver high-quality solutions. The candidate should bridge the gap between Development and Operational teams, working with the development teams to meet acceptance criteria and gather and document the requirements. Candidates should be able to work in fast-paced,
multi-disciplinary environments.
As An DevOps Engineer, You Will
● Work in a dynamic, agile team environment developing excellent new applications.
● Participate in design decisions, including new technology research and prototyping
● Collaborate closely with other AWS engineers and architects, cloud engineers, support teams, and other stakeholders
● Promote great Kubernetes and AWS platform design and quality
● Innovate new ideas to evolve our applications and processes
● Continuously analyzing and evaluating our systems, products, and methods for potential improvements.
Mandatory Skills:
● Experience on Linux based infrastructure
● Experience in ECS - Amazon services*
● Should have hands-on containerized Services
● Must know about AWS CI/CD pipeline.
● Must know DevOps concepts and Agile principles
● Knowledge of Git, Docker, and Jenkins
● Knowledge of Infrastructure as Code.
● Experience in using Automation Tools
● Must have experience in Test Driven Development environment setup.
● Working knowledge of Docker and Kubernetes
We recognize that asking you to give 100% of yourself daily requires us to show you the love.
PERKS: what can we offer you?
● Bi-Yearly performance audits and appraisals
● The flexibility of working days/hours
● 5 working days/week (Mon to Fri) and added payout for working Saturday
● Recognition and Appreciation
● A plethora of industry exposure and self-growth opportunities
Visit our site: www.cedcoss.com
DockerKubernetes
Python- Working on scalability, maintainability and reliability of company's products.
- Working with clients to solve their day-to-day challenges, moving manual processes to automation.
- Keeping systems reliable and gauging the effort it takes to reach there.
- Understanding Juxtapose tools and technologies to choose x over y.
- Understanding Infrastructure as a Code and applying software design principles to it.
- Automating tedious work using your favourite scripting languages.
- Taking code from the local system to production by implementing Continuous Integration and Delivery principles.
What you need to have:
- Worked with any one of the programming languages like Go, Python, Java, Ruby.
- Work experience with public cloud providers like AWS, GCP or Azure.
- Understanding of Linux systems and Containers
- Meticulous in creating and following runbooks and checklists
- Microservices experience and use of orchestration tools like Kubernetes/Nomad.
- Understanding of Computer Networking fundamentals like TCP, UDP.
- Strong bash scripting skills.
KubernetesAmazon Web Services (AWS)We are front runners of the technological revolution with an inexhaustible passion for technology! DevOn is the technical organization that originated from Prowareness. We are the company at the forefront of leading DevOps transformations and setting up High Performance Distributed DevOps teams with leading companies worldwide. DevOn helps market leaders to take the next step in software delivery. We consist of a dynamic team, in which personal growth is central!
About You
You have 6+ years of experience in AWS infra Automation. This is a fantastic opportunity to work in a fast-paced operations environment and to develop your career in Cloud technologies, particularly Amazon Web Services.
You are building and monitoring CI/CD pipeline in AWS cloud. This is a highly scalable backend application building on Java platform. We need a resource who can troubleshoot, diagnose and rectify system service issues.
You’re cloud native with Terraform as an orchestration. You would use Terraform as a key Orchestration in Infrastructure as Code.
You're comfortable driving. You prefer to own your work streams and enjoy working in autonomy to progress towards your goals.
You provide an incredible support to the team. You sweat the small stuff but keep the big picture in mind. You know that a pair programming can give better result
An ideal candidate is/are:
This is a key role within our DevOps team and will involve working as part of a collaborative agile team in a shared services DevOps organization to support and deliver innovative technology solutions that directly align with the delivery of business value and enhanced customer experience. The primary objective is to provide support to Amazon Web Services hosted environment, ensure continuous availability, working closely with development teams to ensure best value for money, and effective estate management.
- Setup CI/CD Pipeline from scratch along with integration of appropriate quality gates.
- Expertise level knowledge in AWS cloud. Provision and configure infrastructure as code using Terraform
- Build and configure Kubernetes-based infrastructure, networking policies, LBs, and cluster security. Define autoscaling and cost strategies.
- Automate the build of containerized systems with CI/CD tooling, Helm charts, and more
- Manage deployments and rollbacks of applications
- Implement monitoring and metrics with Cloud watch, Newrelic
- Troubleshoot and optimize containerized workload deployments for clients
- Automate operational tasks, and assist in the transition to service ownership models.
Amazon Web Services (AWS)KubernetesRoles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
Jenkins
JavaMust-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
KubernetesAmazon Web Services (AWS)JenkinsEngineering group to plan ongoing feature development, product maintenance.
• Familiar with Virtualization, Containers - Kubernetes, Core Networking, Cloud Native
Development, Platform as a Service – Cloud Foundry, Infrastructure as a Service, Distributed
Systems etc
• Implementing tools and processes for deployment, monitoring, alerting, automation, scalability,
and ensuring maximum availability of server infrastructure
• Should be able to manage distributed big data systems such as hadoop, storm, mongoDB,
elastic search and cassandra etc.,
• Troubleshooting multiple deployment servers, Software installation, Managing licensing etc,.
• Plan, coordinate, and implement network security measures in order to protect data, software, and
hardware.
• Monitor the performance of computer systems and networks, and to coordinate computer network
access and use.
• Design, configure and test computer hardware, networking software, and operating system
software.
• Recommend changes to improve systems and network configurations, and determine hardware or
software requirements related to such changes.
Machine Learning (ML)KubernetesPythonDevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon