
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 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.

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Key Responsibilities:
- ☁️ Manage cloud infrastructure and automation on AWS, Google Cloud (GCP), and Azure.
- 🖥️ Deploy and maintain Windows Server environments, including Internet Information Services (IIS).
- 🐧 Administer Linux servers and ensure their security and performance.
- 🚀 Deploy .NET applications (ASP.Net, MVC, Web API, WCF, etc.) using Jenkins CI/CD pipelines.
- 🔗 Manage source code repositories using GitLab or GitHub.
- 📊 Monitor and troubleshoot cloud and on-premises server performance and availability.
- 🤝 Collaborate with development teams to support application deployments and maintenance.
- 🔒 Implement security best practices across cloud and server environments.
Required Skills:
- ☁️ Hands-on experience with AWS, Google Cloud (GCP), and Azure cloud services.
- 🖥️ Strong understanding of Windows Server administration and IIS.
- 🐧 Proficiency in Linux server management.
- 🚀 Experience in deploying .NET applications and working with Jenkins for CI/CD automation.
- 🔗 Knowledge of version control systems such as GitLab or GitHub.
- 🛠️ Good troubleshooting skills and ability to resolve system issues efficiently.
- 📝 Strong documentation and communication skills.
Preferred Skills:
- 🖥️ Experience with scripting languages (PowerShell, Bash, or Python) for automation.
- 📦 Knowledge of containerization technologies (Docker, Kubernetes) is a plus.
- 🔒 Understanding of networking concepts, firewalls, and security best practices.
Job Summary:
We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. DevOps Engineer responsibilities include deploying product updates, identifying production issues, and implementing integrations that meet customer needs. If you have a solid background in software engineering and are familiar with Ruby or Python, we’d like to meet you. Ultimately, you will execute and automate operational processes quickly, accurately, and securely.
Roles & Responsibilities:
- Strong experience with essential DevOps tools and technologies, including Kubernetes, Terraform, Azure DevOps, Jenkins, Maven, Git, GitHub, and Docker.
- Hands-on experience in Azure cloud services, including:
a) Virtual Machines (VMs)
b) Blob Storage
c) Virtual Network (VNet)
d) Load Balancer & Application Gateway
e) Azure Resource Manager (ARM)
f) Azure Key Vault
g) Azure Functions
h) Azure Kubernetes Service (AKS)
i) Azure Monitor, Log Analytics, and Application Insights
j) Azure Container Registry (ACR) and Azure Container Instances (ACI)
k) Azure Active Directory (AAD) and RBAC
- Creative in automating, configuring, and deploying infrastructure and applications across Azure environments and hybrid cloud data centers.
- Build and maintain CI/CD pipelines using Azure DevOps, Jenkins, and scripting for scalable SaaS deployments.
- Develop automation and infrastructure-as-code (IaC) using Terraform, ARM Templates, or Bicep for managing and provisioning cloud resources.
- Expert in managing containerized applications using Docker and orchestrating them via Kubernetes (AKS).
- Proficient in setting up monitoring, logging, and alerting systems using Azure-native tools and integrating with third-party observability stacks.
- Experience implementing auto-scaling, load balancing, and high-availability strategies for cloud-native SaaS applications.
- Configure and maintain CI/CD pipelines and integrate with quality and security tools for automated testing, compliance, and secure deployments.
- Deep knowledge in writing Ansible playbooks and ad hoc commands for automating provisioning and deployment tasks across environments.
- Experience integrating Ansible with Azure DevOps/Jenkins for configuration management and workflow automation.
- Proficient in using Maven and Artifactory for build management and writing POM.xml scripts for Java-based applications.
- Skilled in GitHub repository management, including setting up project-specific access, enforcing code quality standards, and managing pull requests.
- Experience with web and application servers such as Apache Tomcat for deploying and troubleshooting enterprise-grade Java applications.
- Ability to design and maintain scalable, resilient, and secure infrastructure to support rapid growth of SaaS applications.
Qualifications & Requirements:
- Proven experience as a DevOps Engineer, Site Reliability Engineer, or in a similar software engineering role.
- Strong experience working in SaaS environments with a focus on scalability, availability, and performance.
- Proficiency in Python or Ruby for scripting and automation.
- Working knowledge of SQL and database management tools.
- Strong analytical and problem-solving skills with a collaborative and proactive mindset.
- Familiarity with Agile methodologies and ability to work in cross-functional teams.

Roles & Responsibilities:
- Bachelor’s degree in Computer Science, Information Technology or a related field
- 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
Q2 is seeking a team-focused Lead Release Engineer with a passion for managing releases to ensure we release quality software developed using Agile Scrum methodology. Working within the Development team, the Release Manager will work in a fast-paced environment with Development, Test Engineering, IT, Product Management, Design, Implementations, Support and other internal teams to drive efficiencies, transparency, quality and predictability in our software delivery pipeline.
RESPONSIBILITIES:
- Provide leadership on cross-functional development focused software release process.
- Management of the product release cycle to new and existing clients including the build release process and any hotfix releases
- Support end-to-end process for production issue resolution including impact analysis of the issue, identifying the client impacts, tracking the fix through dev/testing and deploying the fix in various production branches.
- Work with engineering team to understand impacts of branches and code merges.
- Identify, communicate, and mitigate release delivery risks.
- Measure and monitor progress to ensure product features are delivered on time.
- Lead recurring release reporting/status meetings to include discussion around release scope, risks and challenges.
- Responsible for planning, monitoring, executing, and implementing the software release strategy.
- Establish completeness criteria for release of successfully tested software component and their dependencies to gate the delivery of releases to Implementation groups
- Serve as a liaison between business units to guarantee smooth and timely delivery of software packages to our Implementations and Support teams
- Create and analyze operational trends and data used for decision making, root cause analysis and performance measurement.
- Build partnerships, work collaboratively, and communicate effectively to achieve shared objectives.
- Make Improvements to processes to improve the experience and delivery for internal and external customers.
- Responsible for ensuring that all security, availability, confidentiality and privacy policies and controls are adhered to.
EXPERIENCE AND KNOWLEDGE:
- Bachelor’s degree in Computer Science, or related field or equivalent experience.
- Minimum 4 years related experience in product release management role.
- Excellent understanding of software delivery lifecycle.
- Technical Background with experience in common Scrum and Agile practices preferred.
- Deep knowledge of software development processes, CI/CD pipelines and Agile Methodology
- Experience with tools like Jenkins, Bitbucket, Jira and Confluence.
- Familiarity with enterprise software deployment architecture and methodologies.
- Proven ability in building effective partnership with diverse groups in multiple locations/environments
- Ability to convey technical concepts to business-oriented teams.
- Capable of assessing and communicating risks and mitigations while managing ambiguity.
- Experience managing customer and internal expectations while understanding the organizational and customer impact.
- Strong organizational, process, leadership, and collaboration skills.
- Strong verbal, written, and interpersonal skills.
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)
JOB DETAILS
What You'll Do
- Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
- Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
- Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
- Experience with microservices and/or event-driven architecture.
- Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
- Strong practical Windows and Linux system administration skills in the cloud.
- Understanding of DNS, NFS, TCP/IP and other protocols.
- Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
- Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
- Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
- Exposure to programming languages like JAVA, PHP, SQL is a plus.
- AWS Developer or AWS SysOps Administrator certification is a plus.
- AWS Solutions Architect Certification experience is a plus.
- Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.
Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
Below is the Job details:
Role: DevOps Architect
Experience Level: 8-12 Years
Job Location: Hyderabad
Key Responsibilities :
Look through the various DevOps Tools/Technologies and identify the strengths and provide direction to the DevOps automation team
Out-of-box thought process on the DevOps Automation Platform implementation
Expose various tools and technologies and do POC on integration of the these tools
Evaluate Backend API's for various DevOps tools
Perform code reviews keep in context of RASUI
Mentor the team on the various E2E integrations
Be Liaison in evangelizing the automation solution currently implemented
Bring in various DevOps best Practices/Principles and participate in adoption with various app teams
Must have:
Should possess Bachelors/Masters in computer science with minimum of 8+ years of experience
Should possess minimum 3 years of strong experience in DevOps
Should possess expertise in using various DevOps tools libraries and API's (Jenkins/JIRA/AWX/Nexus/GitHub/BitBucket/SonarQube)
Should possess expertise in optimizing the DevOps stack ( Containers/Kubernetes/Monitoring )
2+ Experience in creating solutions and translate to the development team
Should have strong understanding of OOPs, SDLC (Agile Safe standards)
Proficient in Python , with a good knowledge of its ecosystems (IDEs and Frameworks)
Proficient in various cloud platforms (Azure/AWS/Google cloud platform)
Proficient in various DevOps offerings (Pivotal/OpenStack/Azure DevOps
Regards,
Talent acquisition team
Tetrasoft India
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