• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as code
• Ensure configuration and compliance with configuration management tools
• 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
Qualifications:
• At least 3-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Expertise on configuration management
• Hands-on experience deploying and managing infrastructure with Terraform
• Solid foundation of networking and Linux administration
• Experience with Docker, GitHub, Jenkins, ELK and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Strong bias for action and ownership

Similar jobs
Job Title : Azure DevOps Engineer
Experience Required : 7+ Years
Work Mode : Remote / Hybrid
Location : Remote
Notice Period : Immediate Joiners / Serving Candidates (within 20 days only)
Interview Mode : Face-to-Face or Virtual
Open Positions : 2
Job Description :
We are seeking an experienced Azure DevOps Engineer with 7+ years of relevant experience in DevOps practices, especially around Azure infrastructure, deployment automation, and CI/CD pipeline management. The ideal candidate should have hands-on expertise with Azure DevOps, GitHub, YAML, and Azure services, along with solid communication and coordination capabilities.
Mandatory Skills : Azure DevOps, GitHub Actions, YAML, Bicep, Azure services (App Gateway, WAF, NSG, CosmosDB, Storage Accounts), Unix scripting, and Azure Fundamentals certification.
Key Responsibilities :
- Manage deployments for Dynamics 365 and proxy applications
- Run and maintain ADO pipelines and GitHub Actions
- Ensure proper status updates on ADO Boards and deployed work items
- Coordinate with QA teams to execute smoke testing post-deployment
- Communicate deployment progress across team channels effectively
- Monitor deployment cycles, approval gates, logs, and alerts
- Ensure smooth integration of infrastructure and DevOps practices
Mandatory Skills :
- Minimum 7+ years in DevOps, with strong experience in Azure DevOps (ADO).
- Proven expertise in building pipelines using Azure DevOps and GitHub.
- Proficiency in Bicep, YAML scripting, and Azure Infrastructure-as-Code (IaC).
- Hands-on with Azure services like :
- App Gateway, WAF, NSG, CosmosDB, Storage Accounts.
- vNet, Managed Identity, KeyVault, AppConfig, App Insights.
- Basic Azure Fundamentals Certification (AZ-900).
- Excellent communication skills in English.
Nice to Have :
- Experience in managing large enterprise-scale deployments.
- Familiarity with branching strategies and monitoring tools.
- Exposure to Approval Gates and Deployment Governance.
Role – Sr. Devops Engineer
Location - Bangalore
Experience 5+ Years
Responsibilities
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Incidence management and root cause analysis.
- Selecting and deploying appropriate CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
Requirements
- 5-6 years of relevant experience in a Devops role.
- Good knowledge in cloud technologies such as AWS/Google Cloud.
- Familiarity with container orchestration services, especially Kubernetes experience (Mandatory) and good knowledge in Docker.
- Experience administering and deploying development CI/CD tools such as Git, Jira, GitLab, or Jenkins.
- Good knowledge in complex Debugging mechanisms (especially JVM) and Java programming experience (Mandatory)
- Significant experience with Windows and Linux operating system environments
- A team player with excellent communication skills.
LogiNext is looking for a technically savvy and passionate Junior 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.
Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
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 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge 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
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Lead the pre-sales (25%) to post-sales (75%) efforts building Public/Hybrid Cloud solutions working collaboratively with Intuitive and client technical and business stakeholders
Be a customer advocate with obsession for excellence delivering measurable success for Intuitive’s customers with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
Experience in analyzing customer's business and technical requirements, assessing existing environment for Cloud enablement, advising on Cloud models, technologies, and risk management strategies
Apply creative thinking/approach to determine technical solutions that further business goals and align with corporate technology strategies
Extensive experience building Well Architected solutions in-line with AWS cloud adoption framework (DevOps/DevSecOps, Database/Data Warehouse/Data Lake, App Modernization/Containers, Security, Governance, Risk, Compliance, Cost Management and Operational Excellence)
Experience with application discovery prefera bly with tools like Cloudscape, to discover application configurations , databases, filesystems, and application dependencies
Experience with Well Architected Review, Cloud Readiness Assessments and defining migration patterns (MRA/MRP) for application migration e.g. Re-host, Re-platform, Re-architect etc
Experience in architecting and deploying AWS Landing Zone architecture with CI/CD pipeline
Experience on architecture, design of AWS cloud services to address scalability, performance, HA, security, availability, compliance, backup and DR, automation, alerting and monitoring and cost
Hands-on experience in migrating applications to AWS leveraging proven tools and processes including migration, implementation, cutover and rollback plans and execution
Hands-on experience in deploying various AWS services e.g. EC2, S3, VPC, RDS, Security Groups etc. using either manual or IaC, IaC is preferred
Hands-on Experience in writing cloud automation scripts/code such as Ansible, Terraform, CloudFormation Template (AWS CFT) etc.
Hands-on Experience with application build/release processes CI/CD pipelines
Deep understanding of Agile processes (planning/stand-ups/retros etc), and interact with cross-functional teams i.e. Development, Infrastructure, Security, Performance Engineering, and QA
Additional Requirements:
Work with Technology leadership to grow the Cloud & DevOps practice. Create cloud practice collateral
Work directly with sales teams to improve and help them drive the sales for Cloud & DevOps practice
Assist Sales and Marketing team in creating sales and marketing collateral
Write whitepapers and technology blogs to be published on social media and Intuitive website
Create case studies for projects successfully executed by Intuitive delivery team
Conduct sales enablement sessions to coach sales team on new offerings
Flexibility with work hours supporting customer’s requirement and collaboration with global delivery teams
Flexibility with Travel as required for Pre-sales/Post-sales, Design workshops, War-room Migration events and customer meetings
Strong passion for modern technology exploration and development
Excellent written, verbal communication skills, presentation, and collaboration skills - Team leadership skills
Experience with Multi-cloud (Azure, GCP, OCI) is a big plus
Experience with VMware Cloud Foundation as well as Advanced Windows and Linux Engineering is a big plus
Experience with On-prem Data Engineering (Database, Data Warehouse, Data Lake) is a big plus
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
• Expertise in any one hyper-scale (AWS/AZURE/GCP), including basic services like networking, data and workload management.
o AWS
Networking: VPC, VPC Peering, Transit Gateway, RouteTables, SecurityGroups, etc.
Data: RDS, DynamoDB, ElasticSearch
Workload: EC2, EKS, Lambda, etc.
o Azure
Networking: VNET, VNET Peering,
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, VirtualMachines, AzureFunctions
o GCP
Networking: VPC, VPC Peering, Firewall, Flowlogs, Routes, Static and External IP Addresses
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup, templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment, networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloudformation), write modules, setup pipeline and version the code.
Optional
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, OpenTelemetry; Paid: Datadog, 24/7, etc)
Karkinos Healthcare Pvt. Ltd.
The fundamental principle of Karkinos healthcare is democratization of cancer care in a participatory fashion with existing health providers, researchers and technologists. Our vision is to provide millions of cancer patients with affordable and effective treatments and have India become a leader in oncology research. Karkinos will be with the patient every step of the way, to advise them, connect them to the best specialists, and to coordinate their care.
Karkinos has an eclectic founding team with strong technology, healthcare and finance experience, and a panel of eminent clinical advisors in India and abroad.
Roles and Responsibilities:
- Critical role that involves in setting up and owning the dev, staging, and production infrastructure for the platform that uses micro services, data warehouses and a datalake.
- Demonstrate technical leadership with incident handling and troubleshooting.
- Provide software delivery operations and application release management support, including scripting, automated build and deployment processing and process reengineering.
- Build automated deployments for consistent software releases with zero downtime
- Deploy new modules, upgrades and fixes to the production environment.
- Participate in the development of contingency plans including reliable backup and restore procedures.
- Participate in the development of the end to end CI / CD process and follow through with other team members to ensure high quality and predictable delivery
- Participate in development of CI / CD processes
- Work on implementing DevSecOps and GitOps practices
- Work with the Engineering team to integrate more complex testing into a containerized pipeline to ensure minimal regressions
- Build platform tools that rest of the engineering teams can use.
Apply only if you have:
- 2+ years of software development/technical support experience.
- 1+ years of software development, operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- 2+ years of experience in public cloud services: AWS (VPC, EC2, ECS, Lambda, Redshift, S3, API Gateway) or GCP (Kubernetes Engine, Cloud SQL, Cloud Storage, BIG Query, API Gateway, Container Registry) - preferably in GCP.
- Experience managing infra for distributed NoSQL system (Kafka/MongoDB), Containers, Micro services, deployment and service orchestration using Kubernetes.
- Experience and a god understanding of Kubernetes, Service Mesh (Istio preferred), API Gateways, Network proxies, etc.
- Experience in setting up infra for central monitoring of infrastructure, ability to debug, trace
- Experience and deep understanding of Cloud Networking and Security
- Experience in Continuous Integration and Delivery (Jenkins / Maven Github/Gitlab).
- Strong scripting language knowledge, such as Python, Shell.
- Experience in Agile development methodologies and release management techniques.
- Excellent analytical and troubleshooting.
- Ability to continuously learn and make decisions with minimal supervision. You understand that making mistakes means that you are learning.
Interested Applicants can share their resume at sajal.somani[AT]karkinos[DOT]in with subject as "DevOps Engineer".
Job Summary
You'd be meticulously analyzing project requirements and carry forward the development of highly robust, scalable and easily maintainable backend applications, work independently, and you'll have the support & opportunity to thrive in a fast-paced environment.
Responsibilities and Duties:
- building and setting up new development tools and infrastructure
- understanding the needs of stakeholders and conveying this to developers
- working on ways to automate and improve development and release processes
- testing and examining code written by others and analysing results
- ensuring that systems are safe and secure against cybersecurity threats
- identifying technical problems and developing software updates and ‘fixes’
- working with software developers and software engineers to ensure that development follows established processes and works as intended
- planning out projects and being involved in project management decisions
Skill Requirements:
- Managing GitHub (example: - creating branches for test, QA, development and production, creating Release tags, resolve merge conflict)
- Setting up of the servers based on the projects in either AWS or Azure (test, development, QA, staging and production)
- AWS S3 configuring and s3 web hosting, Archiving data from s3 to s3-glacier
- Deploying the build(application) to the servers using AWS CI/CD and Jenkins (Automated and manual)
- AWS Networking and Content delivery (VPC, Route 53 and CloudFront)
- Managing databases like RDS, Snowflake, Athena, Redis and Elasticsearch
- Managing IAM roles and policies for the functions like Lambda, SNS, aws cognito, secret manager, certificate manager, Guard Duty, Inspector EC2 and S3.
- AWS Analytics (Elasticsearch, Athena, Glue and kinesis).
- AWS containers (elastic container registry, elastic container service, elastic Kubernetes service, Docker Hub and Docker compose
- AWS Auto scaling group (launch configuration, launch template) and load balancer
- EBS (snapshots, volumes and AMI.)
- AWS CI/CD build spec scripting, Jenkins groovy scripting, shell scripting and python scripting.
- Sagemaker, Textract, forecast, LightSail
- Android and IOS automation building
- Monitoring tools like cloudwatch, cloudwatch log group, Alarm, metric dashboard, SNS(simple notification service), SES(simple email service)
- Amazon MQ
- Operating system Linux and windows
- X-Ray, Cloud9, Codestar
- Fluent Shell Scripting
- Soft Skills
- Scripting Skills , Good to have knowledge (Python, Javascript, Java,Node.js)
- Knowledge On Various DevOps Tools And Technologies
Qualifications and Skills
Job Type: Full-time
Experience: 4 - 7 yrs
Qualification: BE/ BTech/MCA.
Location: Bengaluru, Karnataka
- GCP Cloud experience mandatory
- CICD - Azure DevOps
- IaC tools – Terraform
- Experience with IAM / Access Management within cloud
- Networking / Firewalls
- Kubernetes / Helm / Istio
BENEFITS: -
Competitive salary and stock options -
Premium medical benefits
LOCATION: - Remote (India)
EDUCATION AND EXPERIENCE -
Degree in computer science, software engineering, or a related field -
At least 3-5 years of professional work experience as a
DevOps / test automation / deployment engineer -
Experience in agile software development methodologies
JOB RESPONSIBILITIES: -
Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -
Generate release notes, user guides, technical documentation -
Perform upgrades/ downgrades (patch management) -
Generate and Manage configurations -
Suggest process improvements by interfacing with product owner -
File process/installation/deployment related issues & tracking them -
Verify customer-reported issues and translate them into technical tasks for development
REQUIREMENTS:
Following are must to have requirements, -
Automation frameworks like Selenium etc. -
Scripting languages like Perl, Python etc. -
Linux systems -
Version control system like git -
Issue tracking system like Jira -
Networking protocols -
Cloud infrastructure -
Ability to work individually and as part of a team with a sense of urgency -
Excellent communication skills in written and verbal English -
Great attention to detail
PREFERRED:
Following are good to have requirements, -
Knowledge in any of the programming languages like C, C++ etc.
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -
Familiarity with machine learning / artificial intelligence infrastructure -
Experience in data visualization and statistics -
Basic knowledge of hardware infrastructure containing routers, switches and others -
Familiarity with web & data securityDesign and development of scalable software test framework to automate test









