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Cloud Infra Architect
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Cloud Infra Architect
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Cloud Infra Architect

at Product-Based Company

Agency job
10 - 25 yrs
₹30L - ₹70L / yr
Bengaluru (Bangalore), Hyderabad, Chennai, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Mumbai, Pune
Skills
Data center
Network protocols
Cloud Computing
Architecture
IaaS
Platform as a Service (PaaS)
SaaS
Solution architecture

BASIC QUALIFICATIONS

 

  • BS level technical degree or equivalent professional
  • Skills to represent AWS ProServe well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
  • Demonstrated ability to think strategically about business, product, and technical challenges
  • ·Highly technical and analytical, possessing 15 or more years of IT implementation experience
  • ·Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required
  • Hands on experience in infrastructure implementation
  • Automation skills python, powershell knowledgeand cloud formation template
  •  
  • Strong experience in Architecture, designing and migrating applications on the AWS platform
  • Experience with IT compliance and risk management requirements (eg. security, privacy, SOX, HIPPA etc.)
  • Experience working with customers, partners or third-party developers
  • Strong verbal and written communications skills and ability to lead effectively across organizations


 

PREFERRED QUALIFICATIONS

 

-
o Master's degree in Computer Science or related technical field
o Demonstrated success as a Cloud Infrastructure architect or consultant working with various platforms
o Experience architecting highly available systems that utilize load balancing, horizontal scalability and high availability
o Cloud certifications
o Good exposure to Agile software development and DevOps practices such as Infrastructure as Code (IaC), Continuous Integration and automated deployment
o Presenting at public events such as technology conferences, hackathons, blogging, writing on technical forums, etc.

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Full Stack Developer - Averlon
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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)


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******

Notice period - 0 to 15days only

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DevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!

 

Hello superstar,

 

I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......

 

I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.

I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;

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  • We choose competent developers in those technologies
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I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.


Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response.  I look forward to hearing from you.

Warm wishes DevOps Evangelist,

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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