MLOps Lead Engineer
at IT solutions specialized in Apps Lifecycle management. (MG1)
Kubernetes
Docker
Jenkins
Python- Automate and maintain ML and Data pipelines at scale
- Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
- Maintain and expand our on-prem deployments with spark clusters
- Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure
- 5 years of IT experience in data-driven or AI technology products
- Understanding of ML Model Deployment and Lifecycle
- Extensive experience in Apache airflow for MLOps workflow automation
- Experience is building and automating data pipelines
- Experience in working on Spark Cluster architecture
- Extensive experience with Unix/Linux environments
- Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
- Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
- Experience with Kubernetes or Docker Swarm
- Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
- Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
- Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
- Hands-on software and hardware troubleshooting experience.
- Experience documenting and maintaining configuration and process information.
- Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs
Amazon Web Services (AWS)Dockerwe are currently hiring for Junior DevOps Developer
Can you pls check below Job Description for the post
Job Description: Junior DevOps Developer (0.6 – 1.5 Years Experience)
Job Title: Junior DevOps Developer
Experience: 6 months to 1.5 years
Employment Type: Full-time
About the Role:
We are looking for a motivated Junior DevOps Developer to support our development and operations teams. You will assist in managing cloud infrastructure, improving deployment processes, and maintaining system reliability.
Key Responsibilities:
- Assist in managing and maintaining cloud infrastructure (AWS/GCP/Azure)
- Support CI/CD pipeline setup and maintenance
- Help automate deployment processes and routine tasks
- Monitor system performance and troubleshoot issues
- Assist in containerization using Docker and Kubernetes
- Perform root cause analysis for production issues
- Collaborate with developers to improve system performance and scalability
- Maintain documentation for infrastructure and processes
- cloud platform and infrastructure include hetzener
Required Skills:
- Basic understanding of DevOps concepts and workflows
- Knowledge of cloud platforms like AWS, GCP, or Azure
- Familiarity with Docker and Kubernetes
- Basic understanding of Infrastructure as Code tools (Terraform is a plus)
- Knowledge of Git and version control systems
- Basic scripting knowledge (Bash/Python preferred)
Good to Have:
- Exposure to CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
- Understanding of monitoring tools (Grafana, Prometheus)
- Understanding of monitoring tools (Grafana, Prometheus)
You can contact me on this WhatsApp number: Nine three one six one two zero one three two
Amazon Web Services (AWS)PythonAmura’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)
Docker● Auditing, monitoring and improving existing infrastructure components of highly available and scaled
product on cloud with Ubuntu servers
● Running daily maintenance tasks and improving it with possible automation
● Deploying new components, server and other infrastructure when needed
● Coming up with innovative ways to automate tasks
● Working with telecom carriers and getting rates and destinations and update regularly on the system
● Working with Docker containers, Tinc, Iptables, HAproxy, ETCD, mySQL, mongoDB, CouchDB and
ansible
You would be bringing below skills to our team :
● Expertise with Docker containers and its networking, Tinc, Iptables, HAproxy, ETCD, and ansible
● Extensive experience with setup, maintenance, monitoring, backup and replication with mySQL
● Expertise with the Ubuntu servers and its OS and server level networking
● Good experience of working with mongoDB, CouchDB
● Good with the networking tools
● Open Source server monitoring solutions like nagios, Zabbix etc.
● Worked on highly scaled, distributed applications running on the Datacenter Ubuntu VPS instances
● Innovative and out of box thinker with multitasking skills working in a small team efficiently
● Working Knowledge of any scripting languages like bash, node or python
● It would be an advantage if have experience with the calling platforms like FreeSWITCH, OpenSIPS or
Kamailio and have basic knowledge of SIP protocol
KubernetesDockerResponsibilities:
- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.
- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.
- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.
- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.
- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.
- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.
- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.
- Ensure high availability, performance, and security of cloud infrastructure and applications.
- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.
- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.
- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.
- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.
- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.
- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.
DockerKubernetesPythonJenkinsJenkinsDockerKubernetesAmazon Web Services (AWS)- As a DevOps Engineer, you need to have strong experience in CI/CD pipelines.
- Setup development, testing, automation tools, and IT infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Selecting and deploying appropriate CI/CD tools
- Deploy and maintain CI/CD pipelines across multiple environments (Mobile, Web API’s & AIML)
Required skills & experience:
- 3+ years of experience as DevOps Engineer and strong working knowledge in CI/CD pipelines
- Experience administering and deploying development CI/CD using Git, BitBucket, CodeCommit, Jira, Jenkins, Maven, Gradle, etc
- Strong knowledge in Linux-based infrastructures and AWS/Azure/GCP environment
- Working knowledge on AWS (IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, etc)
- Experience with Docker containerization and clustering (Kubernetes/ECS)
- Experience on Android source(AOSP) clone, build, and automation ecosystems
- Knowledge of scripting languages such as Python, Shell, Groovy, Bash, etc
- Familiar with Android ROM development and build process
- Knowledge of Agile Software Development methodologies
Python• Develop and maintain CI/CD tools to build and deploy scalable web and responsive applications in production environment
• Design and implement monitoring solutions that identify both system bottlenecks and production issues
• Design and implement workflows for continuous integration, including provisioning, deployment, testing, and version control of the software.
• Develop self-service solutions for the engineering team in order to deliver sites/software with great speed and quality
o Automating Infra creation
o Provide easy to use solutions to engineering team
• Conduct research, tests, and implements new metrics collection systems that can be reused and applied as engineering best practices
o Update our processes and design new processes as needed.
o Establish DevOps Engineer team best practices.
o Stay current with industry trends and source new ways for our business to improve.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Manage timely resolution of all critical and/or complex problems
• Maintain, monitor, and establish best practices for containerized environments.
• Mentor new DevOps engineers
What you will bring
• The desire to work in fast-paced environment.
• 5+ years’ experience building, maintaining, and deploying production infrastructures in AWS or other cloud providers
• Containerization experience with applications deployed on Docker and Kubernetes
• Understanding of NoSQL and Relational Database with respect to deployment and horizontal scalability
• Demonstrated knowledge of Distributed and Scalable systems Experience with maintaining and deployment of critical infrastructure components through Infrastructure-as-Code and configuration management tooling across multiple environments (Ansible, Terraform etc)
• Strong knowledge of DevOps and CI/CD pipeline (GitHub, BitBucket, Artifactory etc)
• Strong understanding of cloud and infrastructure components (server, storage, network, data, and applications) to deliver end-to-end cloud Infrastructure architectures and designs and recommendations
o AWS services like S3, CloudFront, Kubernetes, RDS, Data Warehouses to come up with architecture/suggestions for new use cases.
• Test our system integrity, implemented designs, application developments and other processes related to infrastructure, making improvements as needed
Good to have
• Experience with code quality tools, static or dynamic code analysis and compliance and undertaking and resolving issues identified from vulnerability and compliance scans of our infrastructure
• Good knowledge of REST/SOAP/JSON web service API implementation
•
Amazon Web Services (AWS)DockerKubernetesPRAXINFO Hiring DevOps Engineer.
Position : DevOps Engineer
Job Location : C.G.Road, Ahmedabad
EXP : 1-3 Years
Salary : 40K - 50K
Required skills:
⦿ Good understanding of cloud infrastructure (AWS, GCP etc)
⦿ Hands on with Docker, Kubernetes or ECS
⦿ Ideally strong Linux background (RHCSA , RHCE)
⦿ Good understanding of monitoring systems (Nagios etc), Logging solutions (Elastisearch etc)
⦿ Microservice architectures
⦿ Experience with distributed systems and highly scalable systems
⦿ Demonstrated history in automating operations processes via services and tools ( Puppet, Ansible etc)
⦿ Systematic problem-solving approach coupled with a strong sense of ownership and drive.
If anyone is interested than share your resume at hiring at praxinfo dot com!
#linux #devops #engineer #kubernetes #docker #containerization #python #shellscripting #git #jenkins #maven #ant #aws #RHCE #puppet #ansible
Python
Jenkins
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon