DevOps engineer

Job Role : DevOps Engineer (Python + DevOps)

Experience : 4 to 10 Years

Location : Hyderabad

Work Mode : Hybrid

Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)

Job Description :

We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.

The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.

Key Responsibilities :

• Design and manage containerization and orchestration using Docker & Kubernetes.
• Automate deployments and infrastructure tasks using Ansible & Python.
• Build and maintain CI/CD pipelines for streamlined software delivery.
• Collaborate with development teams to integrate DevOps best practices.
• Monitor, troubleshoot, and optimize system performance.
• Enforce security best practices in containerized environments.
• Provide operational support and contribute to continuous improvements.

Required Qualifications :

• Bachelor’s in Computer Science/IT or related field.
• 4+ years of DevOps experience.
• Proficiency in Python and Ansible.
• Expertise in Docker and Kubernetes.
• Hands-on experience with CI/CD tools and pipelines.
• Experience with at least one cloud provider (AWS, Azure, or GCP).
• Strong analytical, communication, and collaboration skills.

Preferred Qualifications :

• Experience with Infrastructure-as-Code tools like Terraform.
• Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
• Understanding of Agile/Scrum practices.

Amura’s Vision 

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us.

Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture.

These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence. 

Role Overview 

We are looking for a highly skilled Senior DevOps Engineer (AI-Native Infrastructure & Platform Engineering) with deep expertise in AWS cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices.

This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI-ready infrastructure platforms that support high-throughput APIs, LLM/AI workloads, GPU-based compute, data-intensive systems, real-time inference pipelines, and scalable ML platforms.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost-efficient cloud environments that enable high-velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation-first mindset, and a passion for developer productivity and platform reliability. 

Key Responsibilities 

Cloud Infrastructure & Platform Engineering (AWS) 

• Architect, deploy, and manage highly scalable and secure infrastructure on AWS. Design cloud platforms supporting AI/ML workloads, data pipelines, real-time APIs, and high-concurrency backend systems.
• Hands-on expertise with key AWS services including EC2, ECS/EKS, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU-enabled instances.
• Build and maintain Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Design multi-AZ and multi-region architectures for high availability and disaster recovery (HA/DR).
• Build reusable platform templates and shared infrastructure modules. 

AI/ML Infrastructure & MLOps 

• Build and maintain infrastructure for LLM applications, AI inference workloads, model serving platforms, vector databases, and feature stores.
• Support GPU-based workloads and optimize compute/storage usage.
• Enable scalable deployment patterns for AI applications using Kubernetes/EKS. Collaborate with Data Science and ML Engineering teams on model deployment, training/tuning of models, CI/CD for ML systems, experiment environments, and reproducibility.
• Support orchestration and deployment of AI workflows and inference services while implementing observability and reliability for AI pipelines. 

CI/CD, Automation & Developer Productivity 

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows.
• Build self-service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection. 

Containers, Kubernetes & Platform Reliability

• Manage Docker-based environments, containerized applications, and optimize workloads using Kubernetes (EKS) or ECS/Fargate.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost-efficiency.
• Implement progressive deployment strategies including blue/green, canary, and rolling deployments. 

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless postmortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, GPU usage, and data transfer) using AWS Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement AWS security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least-privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with engineering, AI/ML, QA, product, and operations teams to drive a DevOps, SRE, GitOps, and automation-first culture.
• Mentor junior DevOps and Platform Engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

Skills & Qualifications

Must-Have:

• 7+ years of experience in DevOps, SRE, Platform Engineering, or Cloud Infrastructure Engineering.
• Strong expertise in AWS cloud architecture, services, and deep understanding of Kubernetes (EKS), containers, and cloud-native systems.
• Strong Infrastructure-as-Code expertise using Terraform, CloudFormation, or CDK. Strong Linux administration, networking, DNS, routing, and load balancing knowledge. Strong scripting/programming experience in Python, Bash, or Go (preferred). Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Preferred / Nice-to-Have:

• Experience with AI/ML infrastructure, MLOps, model serving, vector databases, GPU orchestration, and inference optimization.
• Familiarity with Kafka, Redis, SQS, and event-driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Flux, Helm, and OpenTelemetry.
• AWS Certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator. Knowledge of distributed systems and large-scale platform operations. 

Here are answers to some questions you may have

Where is your office?

Chennai (Velachery)

Work Model

Work from Office – because great stories are built in person!

Do you have an online presence?

https://amura.ai (we are @AmuraHealth on all social media)

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines using Azure DevOps
• Manage cloud infrastructure on Microsoft Azure including VMs, App Services, AKS, Networking, and Storage
• Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep
• Build and manage containerized environments using Docker and Kubernetes
• Deploy and manage Azure Kubernetes Service (AKS) clusters
• Automate configuration management and deployments
• Implement monitoring and logging solutions using Azure Monitor, Log Analytics, and Application Insights
• Integrate security best practices (DevSecOps) within CI/CD pipelines
• Collaborate with development teams to improve build, release, and deployment processes
• Troubleshoot production issues and optimize system performance
• Ensure high availability, scalability, and disaster recovery strategies

Required Skills & Qualifications

• 7+ years of experience in DevOps, Cloud Engineering, or Infrastructure Automation
• Strong hands-on experience with Microsoft Azure
• Expertise in CI/CD implementation using Azure DevOps
• Experience with scripting languages such as PowerShell, Bash, or Python
• Proficiency in Infrastructure as Code (Terraform, ARM, Bicep)
• Experience with container orchestration (Kubernetes/AKS)
• Knowledge of Git-based version control systems
• Experience with configuration management tools
• Strong understanding of networking, security, and cloud architecture
• Experience working in Agile/Scrum environments

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases.

You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Automate infrastructure creation using Terraform and AWS CloudFormation.
• Perform application configuration management and enable Infrastructure as Code (IaC) through deployment tools.
• Own and manage the build and release cycle for customer projects.
• Share responsibilities for deploying releases and other operations and maintenance activities.
• Enhance operations infrastructure such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
• Provide operational support for the engineering team and help migrate legacy infrastructure to the cloud.
• Establish and enforce operational best practices.
• Actively participate in hiring culturally aligned engineers and mentoring them in their career growth.
• Collaborate with founders to design team strategy and contribute to long-term technical planning.
• Work across distributed teams (US & India) and collaborate with customer SMEs to ensure business logic alignment.

What are we looking for?

• 4+ years of experience with Terraform for Infrastructure as Code (IaC).
• 4+ years of experience in configuration management and systems engineering, supporting large-scale Agile environments.
• 4+ years of Linux or Windows administration experience.
• 4+ years of working with Git and solid understanding of branching and merging strategies.
• 2+ years of hands-on experience with AWS infrastructure and platform services.
• 2+ years of experience with cloud automation tools such as Ansible or Chef.
• 2+ years of experience with container orchestration tools like Kubernetes (EKS), AWS ECS, and Docker.
• You are proactive and solutions-oriented, with a strong drive to improve reliability and scalability.

You will be preferred if

• Expertise with multiple cloud service providers: AWS, Azure, GCP.
• AWS Certifications: Solutions Architect (Associate/Professional) or DevOps Professional.
• Hands-on experience with data pipelines, big data processing, or machine learning workflows on cloud platforms.

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)

Key Responsibilities:

• Build and Automation: Utilize Gradle for building and automating software projects. Ensure efficient and reliable build processes.
• Scripting: Develop and maintain scripts using Python and Shell scripting to automate tasks and improve workflow efficiency.
• CI/CD Tools: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as Harness, Github Actions, Jenkins, and other relevant technologies. Ensure seamless integration and delivery of code changes.
• Cloud Platforms: Demonstrate proficiency in working with cloud platforms including OpenShift, Azure, and Google Cloud Platform (GCP). Deploy, manage, and monitor applications in cloud environments.

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

**THIS IS A 100% WORK FROM OFFICE ROLE**

We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.
You will help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.

ROLE and RESPONSIBILITIES:

• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management
activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for
DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in
the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or
creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing
vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer

Essential Skills and Experience Technical Skills

• Proven 3+years of experience as DevOps
• A bachelor’s degree or higher qualification in computer science
• The ability to code and script in multiple languages and automation frameworks
like Python, C#, Java, Perl, Ruby, SQL Server, NoSQL, and MySQL
• An understanding of the best security practices and automating security testing and
updating in the CI/CD (continuous integration, continuous deployment) pipelines
• An ability to conveniently deploy monitoring and logging infrastructure using tools.
• Proficiency in container frameworks
• Mastery in the use of infrastructure automation toolsets like Terraform, Ansible, and command line interfaces for Microsoft Azure, Amazon AWS, and other cloud platforms
• Certification in Cloud Security
• An understanding of various operating systems
• A strong focus on automation and agile development
• Excellent communication and interpersonal skills
• An ability to work in a fast-paced environment and handle multiple projects
simultaneously

OTHER INFORMATION

The DevOps Engineer will also be expected to demonstrate their commitment:
• to gedu values and regulations, including equal opportunities policy.
• the gedu’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of gedu’s Environmental Policy.
• to their Health and Safety responsibilities to ensure their contribution to a safe and secure working environment for staff, students, and other visitors to the campus.

Do Your Thng 

https://doyourthng.com/ 

DYT - Do Your Thing, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. Our aim is to democratise social media and allow people to be rewarded for the content they post. How does DYT help you? It accelerates your career through collaboration opportunities with top brands and gives you access to a community full of experts in the influencer space. 

Role: DevOps 

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Job Description:

We are looking for experienced DevOps Engineers to join our Engineering team. The candidate will be working with our engineers and interact with the tech team for high quality web applications for a product.

Required Experience

• Devops Engineer with 2+ years of experience in development and production operations supporting for Linux & Windows based applications and Cloud deployments (AWS/GC stack)
• Experience working with Continuous Integration and Continuous Deployment Pipeline
• Exposure to managing LAMP stack-based applications
• Experience Resource provisioning automation using tools such as CloudFormation, terraform and ARM Templates.
• Experience in working closely with clients, understanding their requirements, design and implement quality solutions to meet their needs.
• Ability to take ownership on the carried-out work
• Experience coordinating with rest of the team to deliver well-architected and high-quality solutions.
• Experience deploying Docker based applications
• Experience with AWS services.
• Excellent verbal and written communication skills

Desired Experience

• Exposure to AWS, google cloud and Azure Cloud
• Experience in Jenkins, Ansible, Terraform
• Build Monitoring tools and respond to alarms triggered in production environment
• Willingness to quickly become a member of the team and to do what it takes to get the job done
• Ability to work well in a fast-paced environment and listen and learn from stakeholders
• Demonstrate a strong work ethic and incorporate company values in your everyday work.

As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.

You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code

• Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
• Developing reusable Infrastructure code and testing frameworks
• Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
• Design a scalable Centralized Logging and Metrics platform
• Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.

• Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
• Experience in developing applications using programming languages like Java, Python and Go
• Experience in handling logs and metrics at a high scale.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• JD: • 10+ years of overall industry experience
  • 5+ years of cloud experience
  • 2+ years of architect experience
  • Varied background preferred between systems and development
  o Experience working with applications, not pure infra experience
  • Azure experience – strong background using Azure for application migrations
  • Terraform experience – should mention automation technologies in job experience
  • Hands on experience delivering in the cloud
  • Must have job experience designing solutions for customers
  • IaaS Cloud architect
  workload migrations to AWS and/or Azure
  • Security architecture considerations experience
  • CI/CD experience
  • Proven applications migration track of record.