Amazon Web Services (AWS)
Jenkins
Kubernetes
DockerJob Brief:
We are looking for candidates that have experience in development and have performed CI/CD based projects. Should have a good hands-on Jenkins Master-Slave architecture, used AWS native services like CodeCommit, CodeBuild, CodeDeploy and CodePipeline. Should have experience in setting up cross platform CI/CD pipelines which can be across different cloud platforms or on-premise and cloud platform.
Job Location:
Pune.
Job Description:
- Hands on with AWS (Amazon Web Services) Cloud with DevOps services and CloudFormation.
- Experience interacting with customer.
- Excellent communication.
- Hands-on in creating and managing Jenkins job, Groovy scripting.
- Experience in setting up Cloud Agnostic and Cloud Native CI/CD Pipelines.
- Experience in Maven.
- Experience in scripting languages like Bash, Powershell, Python.
- Experience in automation tools like Terraform, Ansible, Chef, Puppet.
- Excellent troubleshooting skills.
- Experience in Docker and Kuberneties with creating docker files.
- Hands on with version control systems like GitHub, Gitlab, TFS, BitBucket, etc.
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Amazon Web Services (AWS)KubernetesJenkinsWe are looking for a DevOps Engineer with hands-on experience in managing production infrastructure using AWS, Kubernetes, and Terraform. The ideal candidate will have exposure to CI/CD tools and queueing systems, along with a strong ability to automate and optimize workflows.
Responsibilities:
* Manage and optimize production infrastructure on AWS, ensuring scalability and reliability.
* Deploy and orchestrate containerized applications using Kubernetes.
* Implement and maintain infrastructure as code (IaC) using Terraform.
* Set up and manage CI/CD pipelines using tools like Jenkins or Chef to streamline deployment processes.
* Troubleshoot and resolve infrastructure issues to ensure high availability and performance.
* Collaborate with cross-functional teams to define technical requirements and deliver solutions.
* Nice-to-have: Manage queueing systems like Amazon SQS, Kafka, or RabbitMQ.
Requirements:
* 4+ years of experience with AWS, including practical exposure to its services in production environments.
* Demonstrated expertise in Kubernetes for container orchestration.
* Proficiency in using Terraform for managing infrastructure as code.
* Exposure to at least one CI/CD tool, such as Jenkins or Chef.
* Nice-to-have: Experience managing queueing systems like SQS, Kafka, or RabbitMQ.
We are looking for a skilled DevOps Engineer with strong expertise in Microsoft Azure and Pulumi to join our growing engineering team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines. This role requires hands-on experience with Infrastructure as Code (IaC), automation, and cloud-native DevOps practices while collaborating closely with development and platform teams.
The candidate must be comfortable working in a U.S. time zone overlap, ensuring smooth collaboration with onshore teams.
Key Responsibilities
- Design, implement, and maintain cloud infrastructure on Microsoft Azure using modern DevOps practices.
- Develop and manage Infrastructure as Code (IaC) using Pulumi to automate infrastructure provisioning and management.
- Build, maintain, and optimize CI/CD pipelines to support reliable and frequent deployments.
- Monitor, troubleshoot, and improve cloud infrastructure performance, availability, and security.
- Collaborate with development teams to improve deployment processes and application reliability.
- Implement automation and configuration management to streamline operations.
- Manage containerized applications and orchestration platforms when applicable.
- Ensure adherence to cloud security best practices, governance, and compliance standards.
- Support production environments and resolve infrastructure-related issues in a timely manner.
- Maintain documentation for infrastructure architecture, deployment pipelines, and operational procedures.
Required Skills & Experience
- 4–7 years of experience in DevOps, Cloud Engineering, or related roles.
- Strong hands-on experience with Microsoft Azure cloud services.
- Proven experience using Pulumi for Infrastructure as Code (must-have).
- Experience building and managing CI/CD pipelines using tools like Azure DevOps, GitHub Actions, Jenkins, or similar.
- Strong experience with containerization technologies (Docker, Kubernetes).
- Proficiency with scripting languages such as Python, Bash, or PowerShell.
- Experience with monitoring and logging tools.
- Strong understanding of cloud networking, security, and identity management.
- Experience with Git-based version control systems.
Preferred Qualifications
- Experience with Kubernetes in Azure (AKS).
- Familiarity with observability tools such as Prometheus, Grafana, or similar.
- Experience with cloud cost optimization and performance tuning.
- Knowledge of DevSecOps practices and security automation.
- Azure certifications such as Azure DevOps Engineer Expert or Azure Administrator.
Amazon Web Services (AWS)
PythonAt TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Job requirements
Key Responsibilities:
- Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
- Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
- Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
- Communicate clearly and fluently in English with customers and internal teams.
- Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
- Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.
Shift Details:
- Engineers rotate shifts, typically working 4–5 shifts per week.
- Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
- Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.
Qualifications:
- 2–5 years of experience in DevOps or cloud support roles.
- Strong familiarity with AWS and/or Azure cloud environments.
- Experience with CI/CD tools such as GitHub Actions or Jenkins.
- Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
- Basic scripting skills in Bash, Python, or comparable languages.
- Excellent communication skills in English.
- Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
- Prior experience in a shift-based support environment is preferred.
What We Offer:
- Remote work opportunity — work from anywhere in India with a stable internet connection.
- Comprehensive training program including:
- Shadowing existing processes to gain hands-on experience.
- Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.
Amazon Web Services (AWS)DockerLead DevSecOps Engineer
Location: Pune, India (In-office) | Experience: 3–5 years | Type: Full-time
Apply here → https://lnk.ink/CLqe2
About FlytBase:
FlytBase is a Physical AI platform powering autonomous drones and robots across industrial sites. Our software enables 24/7 operations in critical infrastructure like solar farms, ports, oil refineries, and more.
We're building intelligent autonomy — not just automation — and security is core to that vision.
What You’ll Own
You’ll be leading and building the backbone of our AI-native drone orchestration platform — used by global industrial giants for autonomous operations.
Expect to:
- Design and manage multi-region, multi-cloud infrastructure (AWS, Kubernetes, Terraform, Docker)
- Own infrastructure provisioning through GitOps, Ansible, Helm, and IaC
- Set up observability stacks (Prometheus, Grafana) and write custom alerting rules
- Build for Zero Trust security — logs, secrets, audits, access policies
- Lead incident response, postmortems, and playbooks to reduce MTTR
- Automate and secure CI/CD pipelines with SAST, DAST, image hardening
- Script your way out of toil using Python, Bash, or LLM-based agents
- Work alongside dev, platform, and product teams to ship secure, scalable systems
What We’re Looking For:
You’ve probably done a lot of this already:
- 3–5+ years in DevOps / DevSecOps for high-availability SaaS or product infra
- Hands-on with Kubernetes, Terraform, Docker, and cloud-native tooling
- Strong in Linux internals, OS hardening, and network security
- Built and owned CI/CD pipelines, IaC, and automated releases
- Written scripts (Python/Bash) that saved your team hours
- Familiar with SOC 2, ISO 27001, threat detection, and compliance work
Bonus if you’ve:
- Played with LLMs or AI agents to streamline ops and Built bots that monitor, patch, or auto-deploy.
What It Means to Be a Flyter
- AI-native instincts: You don’t just use AI — you think in it. Your terminal window has a co-pilot.
- Ownership without oversight: You own outcomes, not tasks. No one micromanages you here.
- Joy in complexity: Security + infra + scale = your happy place.
- Radical candor: You give and receive sharp feedback early — and grow faster because of it.
- Loops over lines: we prioritize continuous feedback, iteration, and learning over one-way execution or rigid, linear planning.
- H3: Happy. Healthy. High-Performing. We believe long-term performance stems from an environment where you feel emotionally fulfilled, physically well, and deeply motivated.
- Systems > Heroics: We value well-designed, repeatable systems over last-minute firefighting or one-off effort.
Perks:
▪ Unlimited leave & flexible hours
▪ Top-tier health coverage
▪ Budget for AI tools, courses
▪ International deployments
▪ ESOPs and high-agency team culture
Apply Here- https://lnk.ink/CLqe2
Amazon Web Services (AWS)
MongoDB-
Working with Ruby, Python, Perl, and Java
-
Troubleshooting and having working knowledge of various tools, open-source technologies, and cloud services.
-
Configuring and managing databases and cache layers such as MySQL, Mongo, Elasticsearch, Redis
-
Setting up all databases and for optimisations (sharding, replication, shell scripting etc)
-
Creating user, Domain handling, Service handling, Backup management, Port management, SSL services
-
Planning, testing & development of IT Infrastructure ( Server configuration and Database) and handling the technical issue related to server Docker and VM optimization
-
Demonstrate awareness of DB management, server related work, Elasticsearch.
-
Selecting and deploying appropriate CI/CD tools
-
Striving for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
-
Experience working on Linux based infrastructure
-
Awareness of critical concepts in DevOps and Agile principles
-
6-8 years of experience
KubernetesDockerJenkinsAs 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)
The role requires you to design development pipelines from the ground up, Creation of Docker Files, and design and operate highly available systems in AWS Cloud environments. Also involves Configuration Management, Web Services Architectures, DevOps Implementation, Database management, Backups, and Monitoring.
Key responsibility area
- Ensure reliable operation of CI/CD pipelines
- Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
- Logging, metrics and alerting management.
- Creation of Bash/Python scripts for automation
- Performing root cause analysis for production errors.
Requirements
- 2 years experience as Team Lead.
- Good Command on kubernetes.
- Proficient in Linux Commands line and troubleshooting.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Hands-on experience with CI tooling preferably with Jenkins.
- Proficient in deployment using Ansible.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Scripting languages: Bash, Python, Groovy.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
Must-Have:
Linux, CI/CD(Jenkin), AWS, Scripting(Bash, shell Python, Go), Ngnix, Docker.
Good to have
Configuration Management(Ansible or similar tool), Logging tool( ELK or similar), Monitoring tool(Nagios or similar), IaC(Terraform, cloud formation).
JavaPythonAmazon Web Services (AWS)Cloud Software Engineer
Notice Period: 45 days / Immediate Joining
Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.
We offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.
Roles and Responsibilities
· A wide variety of engineering projects including data visualization, web services, data engineering, web-portals, SDKs, and integrations in numerous languages, frameworks, and clouds platforms
· Apply continuous delivery practices to deliver high-quality software and value as early as possible.
· Work in collaborative teams to build new experiences
· Participate in the entire cycle of software consulting and delivery from ideation to deployment
· Integrating multiple software products across cloud and hybrid environments
· Developing processes and procedures for software applications migration to the cloud, as well as managed services in the cloud
· Migrating existing on-premises software applications to cloud leveraging a structured method and best practices
Desired Candidate Profile : *** freshers can also apply ***
· 2+years of experience with 1 or more development languages such as Java, Python, or Spark.
· 1 year + of experience with private/public/hybrid cloud model design, implementation, orchestration, and support.
· Certification or any training's completion of any one of the cloud environments like AWS, GCP, Azure, Oracle Cloud, and Digital Ocean.
· Strong problem-solvers who are comfortable in unfamiliar situations, and can view challenges through multiple perspectives
· Driven to develop technical skills for oneself and team-mates
· Hands-on experience with cloud computing and/or traditional enterprise datacentre technologies, i.e., network, compute, storage, and virtualization.
· Possess at least one cloud-related certification from AWS, Azure, or equivalent
· Ability to write high-quality, well-tested code and comfort with Object-Oriented or functional programming patterns
· Past experience quickly learning new languages and frameworks
· Ability to work with a high degree of autonomy and self-direction
http://www.banyandata.com" target="_blank">www.banyandata.com
KubernetesDockerAmazon Web Services (AWS)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".
DockerKubernetes- 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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon