
Java cloud developer
at Altimetrik
Java with cloud
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Core Java, SpringBoot, MicroServices |
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- DB2 or any RDBMS database application development |
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- Linux OS, shell scripting, Batch Processing |
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- Troubleshooting Large Scale application |
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- Experience in automation and unit test framework is a must |
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- AWS Cloud experience desirable |
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- Agile Development Experience |
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- Complete Development Cycle ( Dev, QA, UAT, Staging) |
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- Good Oral and Written Communication Skills |

Similar jobs
- Experience with Infrastructure-as-Code tools(IaS) like Terraform and Cloud Formation.
- Proficiency in cloud-native technologies and architectures (Docker/ Kubernetes), Ci/CD pipelines.
- Good experience in Javascript.
- Expertise in Linux / Windows environment.
- Good Experience in Scripting languages like PowerShell / Bash/ Python.
- Proficiency in revision control and DevOps best practices like Git
Company Overview
Adia Health revolutionizes clinical decision support by enhancing diagnostic accuracy and personalizing care. It modernizes the diagnostic process by automating optimal lab test selection and interpretation, utilizing a combination of expert medical insights, real-world data, and artificial intelligence. This approach not only streamlines the diagnostic journey but also ensures precise, individualized patient care by integrating comprehensive medical histories and collective platform knowledge.
Position Overview
We are seeking a talented and experienced Site Reliability Engineer/DevOps Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the reliability, scalability, and performance of our infrastructure and applications. You will collaborate closely with development, operations, and product teams to automate processes, implement best practices, and improve system reliability.
Key Responsibilities
- Design, implement, and maintain highly available and scalable infrastructure solutions using modern DevOps practices.
- Automate deployment, monitoring, and maintenance processes to streamline operations and increase efficiency.
- Monitor system performance and troubleshoot issues, ensuring timely resolution to minimize downtime and impact on users.
- Implement and manage CI/CD pipelines to automate software delivery and ensure code quality.
- Manage and configure cloud-based infrastructure services to optimize performance and cost.
- Collaborate with development teams to design and implement scalable, reliable, and secure applications.
- Implement and maintain monitoring, logging, and alerting solutions to proactively identify and address potential issues.
- Conduct periodic security assessments and implement appropriate measures to ensure the integrity and security of systems and data.
- Continuously evaluate and implement new tools and technologies to improve efficiency, reliability, and scalability.
- Participate in on-call rotation and respond to incidents promptly to ensure system uptime and availability.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Proven experience (5+ years) as a Site Reliability Engineer, DevOps Engineer, or similar role
- Strong understanding of cloud computing principles and experience with AWS
- Experience of building and supporting complex CI/CD pipelines using Github
- Experience of building and supporting infrastructure as a code using Terraform
- Proficiency in scripting and automating tools
- Solid understanding of networking concepts and protocols
- Understanding of security best practices and experience implementing security controls in cloud environments
- Knowing modern security requirements like SOC2, HIPAA, HITRUST will be a solid advantage.
- 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
Job Responsibilities:
Work & Deploy updates and fixes Provide Level 2 technical support Support implementation of fully automated CI/CD pipelines as per dev requirement Follow the escalation process through issue completion, including providing documentation after resolution Follow regular Operations procedures and complete all assigned tasks during the shift. Assist in root cause analysis of production issues and help write a report which includes details about the failure, the relevant log entries, and likely root cause Setup of CICD frameworks (Jenkins / Azure DevOps Server), Containerization using Docker, etc Implement continuous testing, Code Quality, Security using DevOps tooling Build a knowledge base by creating and updating documentation for support
Skills Required:
DevOps, Linux, AWS, Ansible, Jenkins, GIT, Terraform, CI, CD, Cloudformation, Typescript
We're Hiring: DevOps Tech Lead with 7-9 Years of Experience! 🚀
Are you a seasoned DevOps professional with a passion for cloud technologies and automation? We have an exciting opportunity for a DevOps Tech Lead to join our dynamic team at our Gurgaon office.
🏢 ZoomOps Technolgy Solutions Private Limited
📍 Location: Gurgaon
💼 Full-time position
🔧 Key Skills & Requirements:
✔ 7-9 years of hands-on experience in DevOps roles
✔ Proficiency in Cloud Platforms like AWS, GCP, and Azure
✔ Strong background in Solution Architecture
✔ Expertise in writing Automation Scripts using Python and Bash
✔ Ability to manage IAC tools and CM tools like Terraform, Ansible, pulumi etc..
Responsibilities:
🔹 Lead and mentor the DevOps team, driving innovation and best practices
🔹 Design and implement robust CI/CD pipelines for seamless software delivery
🔹 Architect and optimize cloud infrastructure for scalability and efficiency
🔹 Automate manual processes to enhance system reliability and performance
🔹 Collaborate with cross-functional teams to drive continuous improvement
Join us to work on exciting projects and make a significant impact in the tech space!
Apply now and take the next step in your DevOps career!
● Bachelor Degree or 5+ years of professional or experience.
● 2+ years of hands-on experience of programming in languages such as Python, Ruby,
Go, Swift, Java, .Net, C++ or similar object-oriented language.
● Experience with automating cloud native technologies, deploying applications, and
provisioning infrastructure.
● Hands-on experience with Infrastructure as Code, using CloudFormation, Terraform, or
other tools.
● Experience developing cloud native CI/CD workflows and tools, such as Jenkins,
Bamboo, TeamCity, Code Deploy (AWS) and/or GitLab.
● Hands-on experience with microservices and distributed application architecture, such
as containers, Kubernetes, and/or serverless technology.
● Hands-on experience in building/managing data pipelines, reporting & analytics.
● Experience with the full software development lifecycle and delivery using Agile
practices.
● Preferable (bonus points if you know these):
○ AWS cloud management
○ Kafka
○ Databricks
○ Gitlab CI/CD hooks
○ Python notebooks
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)
DevOps Engineer
The DevOps team is one of the core technology teams of Lumiq.ai and is responsible for managing network activities, automating Cloud setups and application deployments. The team also interacts with our customers to work out solutions. If you are someone who is always pondering how to make things better, how technologies can interact, how various tools, technologies, and concepts can help a customer or how you can use various technologies to improve user experience, then Lumiq is the place of opportunities.
Job Description
- Explore about the newest innovations in scalable and distributed systems.
- Helps in designing the architecture of the project, solutions to the existing problems and future improvements to be done.
- Make the cloud infrastructure and services smart by implementing automation and trigger based solutions.
- Interact with Data Engineers and Application Engineers to create continuous integration and deployment frameworks and pipelines.
- Playing around with large clusters on different clouds to tune your jobs or to learn.
- Researching about new technologies, proving the concepts and planning how to integrate or update.
- Be part of discussions of other projects to learn or to help.
Responsibilities
- 2+years of experience as DevOps Engineer.
- You understand actual networking to Software defined networking.
- You like containers and open source orchestration system like Kubernetes, Mesos.
- Should have experience to secure system by creating robust access policy and network restrictions enforcement.
- Should have knowledge about how applications work are very important to design distributed systems.
- Should have experience to open source projects and have discussed the shortcomings or problems with the community on several occasions.
- You understand that provisioning a Virtual Machine is not DevOps.
- You know you are not a SysAdmin but DevOps Engineer who is the person behind developing operations for the system to run efficiently and scalably.
- Exposure on Private Cloud, Subnets, VPNs, Peering, Load Balancers and have worked with them.
- You check logs before screaming about error.
- Multiple Screens makes you more efficient.
- You are a doer who don’t say the word impossible.
- You understand the value of documentation of your work.
- You understand the Big Data ecosystem and how can you leverage cloud for it.
- You know these buddies - #airflow, #aws, #azure, #gcloud, #docker, #kubernetes, #mesos, #acs









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