DevOps Engineer

About the opportunity:

This role is with Sporty Group. CareersInCloud shares this opportunity to help professionals discover relevant technology careers.

Hiring Company: Sporty Group

Sporty Group is looking for an experienced DevOps Engineer to join its remote engineering team.

This role involves managing AWS cloud infrastructure, Kubernetes environments, CI/CD pipelines, monitoring, automation, and improving system reliability.

Key Responsibilities:

• Manage AWS infrastructure and cloud operations

• Maintain Kubernetes clusters and Docker environments

• Build and improve CI/CD pipelines

• Monitor production systems using Grafana, Prometheus, and CloudWatch

• Troubleshoot Linux, networking, and infrastructure issues

Requirements:

• 3+ years of DevOps experience

• Strong AWS and Kubernetes experience

• Experience with Docker, Linux, CI/CD tools

• Good understanding of cloud infrastructure and automation

Apply here:

https://careersincloud.com/jobs/sporty-group-hiring-devops-engineer-remote-experienced

JOB DETAILS:

* Job Title: DevOps Engineer (Azure)

* Industry: Technology

* Salary: Best in Industry

* Experience: 2-5 years

* Location: Bengaluru, Koramangala

Review Criteria

• Strong Azure DevOps Engineer Profiles.
• Must have minimum 2+ years of hands-on experience as an Azure DevOps Engineer with strong exposure to Azure DevOps Services (Repos, Pipelines, Boards, Artifacts).
• Must have strong experience in designing and maintaining YAML-based CI/CD pipelines, including end-to-end automation of build, test, and deployment workflows.
• Must have hands-on scripting and automation experience using Bash, Python, and/or PowerShell
• Must have working knowledge of databases such as Microsoft SQL Server, PostgreSQL, or Oracle Database
• Must have experience with monitoring, alerting, and incident management using tools like Grafana, Prometheus, Datadog, or CloudWatch, including troubleshooting and root cause analysis

Preferred

• Knowledge of containerisation and orchestration tools such as Docker and Kubernetes.
• Knowledge of Infrastructure as Code and configuration management tools such as Terraform and Ansible.
• Preferred (Education) – BE/BTech / ME/MTech in Computer Science or related discipline

Role & Responsibilities

• Build and maintain Azure DevOps YAML-based CI/CD pipelines for build, test, and deployments.
• Manage Azure DevOps Repos, Pipelines, Boards, and Artifacts.
• Implement Git branching strategies and automate release workflows.
• Develop scripts using Bash, Python, or PowerShell for DevOps automation.
• Monitor systems using Grafana, Prometheus, Datadog, or CloudWatch and handle incidents.
• Collaborate with dev and QA teams in an Agile/Scrum environment.
• Maintain documentation, runbooks, and participate in root cause analysis.

Ideal Candidate

• 2–5 years of experience as an Azure DevOps Engineer.
• Strong hands-on experience with Azure DevOps CI/CD (YAML) and Git.
• Experience with Microsoft Azure (OCI/AWS exposure is a plus).
• Working knowledge of SQL Server, PostgreSQL, or Oracle.
• Good scripting, troubleshooting, and communication skills.
• Bonus: Docker, Kubernetes, Terraform, Ansible experience.
• Comfortable with WFO (Koramangala, Bangalore).

The DevOps Engineer will play a critical role in operationalizing artificial intelligence across Bell Techlogix client environments. This role focuses on building and supporting cloud infrastructure, CI/CD pipelines, and automation frameworks that power AI and machine learning workloads. The ideal candidate has experience supporting AI platforms such as Azure AI, Azure Machine Learning, Azure OpenAI, and ServiceNow or conversational AI platforms, and understands the operational requirements of production AI systems, including reliability, scalability, and security. 

Key Responsibilities 

•Design, build, and operate cloud infrastructure and platform services that support AI and machine learning workloads in production, SLA-driven managed services environments 

•Implement CI/CD and MLOps pipelines to enable automated training, testing, deployment, and rollback of AI and ML models 

•Develop and maintain Infrastructure as Code to provision AI-ready environments consistently across dev/test/prod 

•Support AI platform operations including monitoring model health, pipeline execution, compute utilization, and data dependencies 

•Partner with Machine Learning Engineers and Data Engineers to standardize deployment patterns for AI services and LLM-based solutions 

•Enable secure and scalable AI integrations using APIs, messaging, and event-driven architectures 

•Implement observability solutions for AI platforms, including logging, metrics, alerting, and drift detection integrations 

•Troubleshoot AI platform incidents, perform root cause analysis, and implement remediation to improve reliability and automation coverage 

•Apply security best practices for AI environments including secrets management, identity and access controls, network isolation, and policy enforcement 

•Support AI-driven automation use cases across platforms such as Microsoft Copilot, ServiceNow, and conversational AI tools 

•Collaborate with service desk, security, and architecture teams to continuously improve AI service delivery and operational maturity 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience 

•5+ years of experience in DevOps, cloud engineering, or platform operations, with exposure to AI or data workloads 

•Hands-on experience with Microsoft Azure, including compute, networking, storage, and monitoring services 

•Experience building CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools 

•Working knowledge of Infrastructure as Code (Terraform and/or Bicep/ARM) 

•Scripting experience using PowerShell and/or Python 

•Experience supporting production platforms with incident management, change control, and root cause analysis 

•Understanding of cloud security fundamentals and enterprise governance requirements 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, Azure OpenAI, or MLOps frameworks 

•Exposure to containerization and orchestration technologies (Docker, Kubernetes, AKS) 

•Experience supporting data pipelines or feature stores used by machine learning systems 

•Familiarity with ServiceNow, AI-driven ITSM workflows, or automation platforms 

•Experience with observability tools 

•Knowledge of Responsible AI, data governance, and compliance considerations for AI systems 

•Relevant certifications (Microsoft Azure Administrator, Azure DevOps Engineer, Azure AI Engineer)

Job Title: DevOps Engineer

Location: Remote

Type: Full-time

About Us:

At Tese, we are committed to advancing sustainability through innovative technology solutions. Our platform empowers SMEs, financial institutions, and enterprises to achieve their Environmental, Social, and Governance (ESG) goals. We are looking for a skilled and passionate DevOps Engineer to join our team and help us build and maintain scalable, reliable, and efficient infrastructure.

Role Overview:

As a DevOps Engineer, you will be responsible for designing, implementing, and managing the infrastructure that supports our applications and services. You will work closely with our development, QA, and data science teams to ensure smooth deployment, continuous integration, and continuous delivery of our products. Your role will be critical in automating processes, enhancing system performance, and maintaining high availability.

Key Responsibilities:

• Infrastructure Management:
• Design, implement, and maintain scalable cloud infrastructure on platforms such as AWS, Google Cloud, or Azure.
• Manage server environments, including provisioning, monitoring, and maintenance.
• CI/CD Pipeline Development:
• Develop and maintain continuous integration and continuous deployment pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
• Automate deployment processes to ensure quick and reliable releases.
• Configuration Management and Automation:
• Implement infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation.
• Automate system configurations and deployments to improve efficiency and reduce manual errors.
• Monitoring and Logging:
• Set up and manage monitoring tools (e.g., Prometheus, Grafana, ELK Stack) to track system performance and troubleshoot issues.
• Implement logging solutions to ensure effective incident response and system analysis.
• Security and Compliance:
• Ensure systems are secure and compliant with industry standards and regulations.
• Implement security best practices, including identity and access management, network security, and vulnerability assessments.
• Collaboration and Support:
• Work closely with development and QA teams to support application deployments and troubleshoot issues.
• Provide support for infrastructure-related inquiries and incidents.

Qualifications:

• Education:
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience:
• 3-5 years of experience in DevOps, system administration, or related roles.
• Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Technical Skills:
• Proficiency in scripting languages like Bash, Python, or Ruby.
• Strong experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Knowledge of configuration management tools (Ansible, Puppet, Chef).
• Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack).
• Understanding of networking concepts and security best practices.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced environment and manage multiple tasks.

Preferred Qualifications:

• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Knowledge of microservices architecture and serverless computing.
• Familiarity with database administration (SQL and NoSQL databases).
• Experience with Agile methodologies and working in a Scrum or Kanban environment.
• Passion for sustainability and interest in ESG initiatives.

Benefits:

• Competitive salary and benefits package,and performance bonuses.
• Flexible working hours and remote work options.
• Opportunity to work on impactful projects that promote sustainability.
• Professional development opportunities, including access to training and conferences.

Only apply on this link - https://loginext.hire.trakstar.com/jobs/fk025uh?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk025uh?source=

LogiNext is looking for a technically savvy and passionate Associate Vice President - Product Engineering - DevOps 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
• 11 to 14 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.
• Excellent leadership skill.

• Strong experience working with tools and platforms like Helm charts, Circle CI, Jenkins,
• and/or Codefresh
• Excellent knowledge of AWS offerings around Cloud and DevOps
• Strong expertise in containerization platforms like Docker and container orchestration platforms like Kubernetes & Rancher
• Should be familiar with leading Infrastructure as Code tools such as Terraform, CloudFormation, etc.
• Strong experience in Python, Shell Scripting, Ansible, and Terraform
• Good command over monitoring tools like Datadog, Zabbix, Elk, Grafana, CloudWatch, Stackdriver, Prometheus, JFrog, Nagios, etc.
• Experience with Linux/Unix systems administration.

What we look for:

As a DevOps Developer, you will contribute to a thriving and growing AIGovernance Engineering team. You will work in a Kubernetes-based microservices environment to support our bleeding-edge cloud services. This will include custom solutions, as well as open source DevOps tools (build and deploy automation, monitoring and data gathering for our software delivery pipeline). You will also be contributing to our continuous improvement and continuous delivery while increasing maturity of DevOps and agile adoption practices.

Responsibilities:

• Ability to deploy software using orchestrators /scripts/Automation on Hybrid and Public clouds like AWS
• Ability to write shell/python/ or any unix scripts
• Working Knowledge on Docker & Kubernetes
• Ability to create pipelines using Jenkins or any CI/CD tool and GitOps tool like ArgoCD
• Working knowledge of Git as a source control system and defect tracking system
• Ability to debug and troubleshoot deployment issues
• Ability to use tools for faster resolution of issues
• Excellent communication and soft skills
• Passionate and ability work and deliver in a multi-team environment
• Good team player
• Flexible and quick learner
• Ability to write docker files, Kubernetes yaml files / Helm charts
• Experience with monitoring tools like Nagios, Prometheus and visualisation tools such as Grafana.
• Ability to write Ansible, terraform scripts
• Linux System experience and Administration
• Effective cross-functional leadership skills: working with engineering and operational teams to ensure systems are secure, scalable, and reliable.
• Ability to review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations.

• Recommend a migration and consolidation strategy for DevOps tools
• Design and implement an Agile work management approach
• Make a quality strategy
• Design a secure development process
• Create a tool integration strategy

• 3+ years experience leading a team of DevOps engineers
• 8+ years experience managing DevOps for large engineering teams developing cloud-native software
• Strong in networking concepts
• In-depth knowledge of AWS and cloud architectures/services.
• Experience within the container and container orchestration space (Docker, Kubernetes)
• Passion for CI/CD pipeline using tools such as Jenkins etc.
• Familiarity with config management tools like Ansible Terraform etc
• Proven record of measuring and improving DevOps metrics
• Familiarity with observability tools and experience setting them up
• Passion for building tools and productizing services that empower development teams.
• Excellent knowledge of Linux command-line tools and ability to write bash scripts.
• Strong in Unix / Linux administration and management,

KEY ROLES/RESPONSIBILITIES:

• Own and manage the entire cloud infrastructure
• Create the entire CI/CD pipeline to build and release
• Explore new technologies and tools and recommend those that best fit the team and organization
• Own and manage the site reliability
• Strong decision-making skills and metric-driven approach
• Mentor and coach other team members

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).