
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.

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5+ yrs of experience in Cloud/DevOps roles.
Strong hands-on experience with AWS architecture, operations & automation (70% focus).
Solid Kubernetes/EKS administration experience (30% focus).
IaC experience (Terraform preferred).
Scripting (Python / Bash).
CI/CD tools (Jenkins, GitLab, GitHub Actions).
Experience working with BFSI or Managed Service projects is mandatory
🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀
📍 Location: Pune (Hybrid)
💼 Experience: 5+ Years
🕒 Mode of Work: Hybrid
Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.
🔹 Key Skills Required:
✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)
✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines
✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes
✅ Incident Management: Quick issue resolution and RCA
✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging
✅ Programming: Proficiency in Python, Golang
✅ Performance Optimization: Identifying and resolving system bottlenecks
Job Title: Senior Devops Engineer (Full-time)
Location: Mumbai, Onsite
Experience Required: 5+ Years
Required Qualifications
● Experience:
○ 5+ years of hands-on experience as a DevOps Engineer or similar role, with
proven expertise in building and customizing Helm charts from scratch (not just
using pre-existing ones).
○ Demonstrated ability to design and whiteboard DevOps pipelines, including
CI/CD workflows for microservices applications.
○ Experience packaging and deploying applications with stateful dependencies
(e.g., databases, persistent storage) in varied environments: on-prem (air-gapped
and non-air-gapped), single-tenant cloud, multi-tenant cloud, and developer trials.
○ Proficiency in managing deployments in Kubernetes clusters, including offline
installations, upgrades via Helm, and adaptations for client restrictions (e.g., no
additional tools or VMs).
○ Track record of handling client interactions, such as asking probing questions
about infrastructure (e.g., OS versions, storage solutions, network restrictions)
and explaining technical concepts clearly.
● Technical Skills:
○ Strong knowledge of Helm syntax and functionalities (e.g., Go templating, hooks,
subcharts, dependency management).
○ Expertise in containerization with Docker, including image management
(save/load, registries like Harbor or ECR).
○ Familiarity with CI/CD tools such as Jenkins, ArgoCD, GitHub Actions, and
GitOps for automated and manual deployments.
○ Understanding of storage solutions for on-prem and cloud, including object/file
storage (e.g., MinIO, Ceph, NFS, cloud-native like S3/EBS).
○ In-depth knowledge of Kubernetes concepts: StatefulSets, PersistentVolumes,
namespaces, HPA, liveness/readiness probes, network policies, and RBAC.
○ Solid grasp of cloud networking: VPCs (definition, boundaries, virtualization via
SDN, differences from private clouds), bare metal vs. virtual machines
(advantages like resource efficiency, flexibility, and scalability).
○ Ability to work in air-gapped environments, preparing offline artifacts and
ensuring self-contained deployment
Challenging opportunity to Improve and manage a complicated AWS Infrastructure built for ECG wearable, for live ecg streaming and monitoring Patients
- At least 5 year of experience in Cloud technologies-AWS and Azure and developing.
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills
LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging 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 (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 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 query analysis, peformance tuning, database redesigning, 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 looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.
We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.
Responsibilities:
- Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
- Manage and maintain Kubernetes clusters on EKS and EC2 instances
- Implement and maintain automated CI/CD pipelines for microservices
- Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
- Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
- Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
- Implement backup and disaster recovery solutions for our microservices and databases
- Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
- Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
- Experience with large scale system design and scaling services is highly desirable
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 5 years of experience in AWS DevOps and infrastructure engineering
- Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
- Experience with SOC2 compliance and vulnerability assessment best practices for microservices
- Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
- Strong scripting skills in languages like Python, Bash, and Go
- Excellent communication skills and the ability to work in a collaborative team environment
- Experience with agile development methodologies and DevOps practices
- AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.
Notice period : Can join within a month
- Develop and Deploy Software:
- Architect and create an effective build and release process using industry best practices and tools
- Create and manage build scripts to deploy software in a multi-cloud environment
- Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
- Manage Release Schedule:
- Act as a “gate keeper” for all releases into production
- Work closely with business stakeholders, development managers and developers to prepare a release schedule
- Help prioritize deployment requests for version upgrades, patches and hot-fixes
- Continuous Delivery of Software:
- Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
- Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
- Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
- Manage Version Control:
- Define and implement branching policies to efficiently manage source-code
- Implement business rules as a part of source control standards
- Resolve Software Issues:
- Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
- Address deployment related issues
- Maintain Release Documentation:
- Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users
DevOps 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










