Lead Azure Devops Engineer

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)

Job Description

Role: Sr. DevOps – Architect

Location: Bangalore

Who are we looking for?

A senior level DevOps consultant with deep DevOps related expertise. The Individual should be passionate about technology and demonstrate depth and breadth of expertise in similar roles and Enterprise Systems/Enterprise Architecture Frameworks;

Technical Skills:

• 8+ years of relevant  DevOps /Operations/Development experience working under Agile  DevOps  culture on large scale distributed systems.

• Experience in building a DevOps platform in integrating DevOps tool chain using REST/SOAP/ESB technologies.

• Required hands on programming skills on developing automation modules using one of these scripting languages Python/Perl/Ruby/Bash

• Require hands on experience with public cloud such as AWS, Azure, Openstack, Pivotal Cloud Foundry etc though Azure experience is must.

• Experience in working more than one of the configuration management tools like Chef/Puppet/Ansible and building own cookbook/manifest is required.

• Experience with Docker and Kubernetes.

• Experience in Building CI/CD pipelines using any of the continuous integration tools like Jenkins, Bamboo etc.

• Experience with planning tools like Jira, Rally etc.

• Hands on experience on continuous integration and build tools like (Jenkins, Bamboo, CruiseControl etc.) along with version control system like (GIT, SVN, GITHUB, TFS etc.), build automation tools like Maven/Gradle/ANT and dependency management tools like Artifactory/Nexus.

• Experience with more than one deployment automation tools like IBM urban code, CA automic, XL Deploy etc.

• Experience on setting up and managing  DevOps  tools on Repository, Monitoring, Log Analysis etc. using tools like (New Relic, Splunk, App Dynamics etc.)

• Understanding of Applications, Networking and Open source tools.

• Experience on security side of DevOps i.e. DevSecOps

• Good to have understanding of Micro services architecture.

• Experience working with remote/offshore teams is a huge plus

• Experience in building a Dashboard based on latest JS technologies like NodeJS

• Experience with NoSQL database like MongoDB

• Experience in working with REST APIs

• Experience with tools like NPM, Gulp

Process Skills:

• Ability in performing rapid assessments of clients’ internal technology landscape and targeting use cases and deployment targets

• Develop and create program blueprint, case study, supporting technical documentations for DevOps to be commercialized and duplicate work across different business customers

• Compile, deliver, and evangelize roadmaps that guide the evolution of services

• Grasp and communicate big-picture enterprise-wide issues to team

• Experience working in an Agile / Scrum / SAFe environment preferred

Behavioral Skills :

• Should have directly worked on creating enterprise level operating models, architecture options

• Model as-is and to-be architectures based on business requirements

• Good communication & presentation skills

• Self-driven + Disciplined + Organized + Result Oriented + Focused & Passionate about work

• Flexible for short term travel

Primary Duties / Responsibilities:

• Build Automations and modules for DevOps platform

• Build integrations between various DevOps tools

• Interface with another teams to provide support and understand the overall vision of the transformation platform.

• Understand the customer deployment scenarios, and Continuously improve and update the platform based on agile requirements.

• Preparing HLDs and LLDs.

• Presenting status to leadership and key stakeholders at regular intervals

Qualification:

• Somebody who has at least 12+ years of work experience in software development.

• 5+ years industry experience in DevOps architecture related to Continuous Integration/Delivery solutions, Platform Automation including technology consulting experience

• Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college

• Development/Technical support experience in preferably DevOps.
• Looking for an engineer to be part of GitHub Actions support. Experience with CI/CD tools like Bamboo, Harness, Ansible, Salt Scripting.
• Hands-on expertise with GitHub Actions and CICD Tools like Bamboo, Harness, CI/CD Pipeline stages, Build Tools, SonarQube, Artifactory, Nuget, Proget Veracode, LaunchDarkly, GitHub/Bitbucket repos, Monitoring tools.
• Handelling Xmatters,Techlines,Incidents
• Strong Scripting skills (PowerShell, Python, Bash/Shell Scripting) for Implementing automation scripts and Tools to streamline administrative tasks and improve efficiency.
• An Atlassian Tools Administrator is responsible for managing and maintaining Atlassian products such as Jira, Confluence, Bitbucket, and Bamboo.
• Expertise in Bitbucket, GitHub for version control and collaboration global level.
• Good experience on Linux/Windows systems activities, Databases.
• Aware of SLA and Error concepts and their implementations; provide support and participate in Incident management & Jira Stories. Continuously Monitoring system performance and availability, and responding to incidents promptly to minimize downtime.
• Well-versed with Observability tool as Splunk for Monitoring, alerting and logging solutions to identify and address potential issues, especially in infrastructure.
• Expert with Troubleshooting production issues and bugs. Identifying and resolving issues in production environments.
• Experience in providing 24x5 support.
• GitHub Actions
• Atlassian Tools (Bamboo, Bitbucket, Jira, Confluence)
• Build Tools (Maven, Gradle, MS Build, NodeJS)
• SonarQube, Veracode.
• Nexus, JFrog, Nuget, Proget
• Harness
• Salt Services, Ansible
• PowerShell, Shell scripting
• Splunk
• Linux, Windows

• Good knowledge of at least one language (C#, Java, Python, Go, PHP, Node.js)
• Have enough experience on application and infrastructure architectures
• Design and plan cloud solution architecture
• Design for security, network, and compliances
• Analyze and optimize technical and business processes
• Ensure solution and operational reliability
• Manage and provision cloud infrastructure
• Manage IaaS, PaaS, and SaaS solutions
• Design strategies around cloud governance, migration, Cloud operations and DevOps
• Design highly scalable, available, and reliable cloud applications
• Build and test applications
• Deploy applications on cloud
• Integration with cloud services

Certification:

• Architect level certificate of any cloud (AWS, GCP, Azure)

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

• 2+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
• 2+ years of hands-on experience as a DevOps engineer
• Strong leadership, communication and interpersonal skills geared to getting things done
• Developing themselves and the talent within their charge – fostering and creating opportunity for the team
• Strong understanding of SRE concepts and the DevOps culture. Set the direction and strategy for your team, and help shape the overall SRE program for the company
• Be able to lead complicated technical issues and communicating status updates/RCA with management and customers.
• Own site stability, performance, capacity planning, DevOps recruitment.