Senior Devops Engineer Lead at Amura Health · Chennai · 7 - 12 years · ₹30L - ₹55L / yr · Raised funding · Posted 3 Sep 2026
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)
Shubham Vishwakarma
Full Stack Developer - Averlon
About Amura Health
About
Good health changes everything
Amura helps people reverse their chronic diseases using Natural Molecule Therapy (NMT) protocols built using evidence-based science.
Over the last five years, we successfully helped thousands of people to become healthier than they were years ago, slowed down their ageing, made them happier and more productive.
Tech stack
Company video
Candid answers by the company
Amura helps people reverse their chronic diseases using Natural Molecule Therapy (NMT) protocols built using evidence-based science.
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Job Summary :
We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.
Key Responsibilities :
- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.
- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.
- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management
- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.
- Collaborate with developers to ensure smooth and frequent deployments to production.
- Manage versioning and rollback strategies for critical deployments.
- Containerization & Orchestration using Kubernetes.
- Containerize applications using Docker, and manage them using Kubernetes.
- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.
- Develop utilities and tools to enhance operational efficiency and reliability.
- Monitoring & Incident Management
- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.
- Optimize application and system performance through proactive monitoring and configuration tuning.
Desired Skills and Experience :
- Experience Required - 6+ yrs.
- Hands-on experience on cloud services like AWS, EKS etc.
- Ability to design a good cloud solution.
- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.
- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.
- Use knowledge and research to constantly modernize our applications and infrastructure stacks.
- Be a team player and strong problem-solver to work with a diverse team.
- Having good communication skills.
Company Overview:
Planview is hiring a DevOps Engineer in Bengaluru, India to support Planview SaaS applications across the product line. You will work in a global, collaborative team — owning CI/CD pipelines, cloud infrastructure, and automation to keep deployments fast and systems reliable.
Responsibilities
- Build and maintain CI/CD pipelines in Jenkins for reliable, fast delivery.
- Manage containerized workloads on Docker and ECS — task definitions, services, and clusters.
- Provision and manage AWS infrastructure using Terraform (CloudFormation a plus).
- Automate configuration and deployment tasks using Python (Ansible a plus).
- Set up and maintain monitoring and alerting via New Relic (CloudWatch, Datadog, or Prometheus/Grafana a plus).
- Write Shell and Python scripts to automate operations and reduce manual work.
- Manage Git workflows — branching, merge strategies, and pull request reviews.
- Administer and support MSSQL databases underpinning the product line — backups, restores, and basic performance troubleshooting.
- Troubleshoot deployment, performance, and infrastructure issues with development teams.
- Participate in on-call rotations and drive incident response.
- Continuously improve infrastructure resilience and deployment speed.
- Apply AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code) to speed up IaC authoring, pipeline debugging, and day-to-day scripting.
Qualifications
Must-Have Skills
- Experience: 4–6 years of experience in DevOps, SRE, or Infrastructure Engineering.
- OS: Linux & Windows administration (systemd, package management, log analysis).
- Cloud: AWS (Active Directory, ECS, EC2, CloudFront, S3, VPC, IAM, RDS, Lambda basics).
- Source Control: Git — branching, merge/rebase, PR reviews.
- CI/CD (Jenkins): Pipeline creation and basic Groovy scripting.
- Containerization (Docker + ECS): Task definitions, services, and clusters.
- IaC: Terraform.
- Monitoring: New Relic.
- Scripting: Bash and Python scripting for automation.
- Networking Basics: DNS, load balancers, security groups, VPNs.
- Logging: ELK stack / CloudWatch Logs.
- Database: MSSQL administration — backups, restores, basic performance troubleshooting.
- Infrastructure Automation: Hands-on experience automating infrastructure provisioning, configuration, and deployment end-to-end.
- AI-Assisted Engineering: Comfortable working with AI coding/DevOps assistants (e.g., GitHub Copilot, Claude Code) for IaC generation, scripting, and troubleshooting — verified via a mandatory AI proficiency assessment during interviews.
Nice-to-Have Skills
• Configuration Management: Ansible.
• Additional IaC: CloudFormation.
• Architecture: Knowledge of microservices architecture.
• Cloudflare: DNS, CDN, WAF.
• Artifact Repositories: Nexus, JFrog Artifactory, ECR.
• Other CI/CD Tools: GitHub Actions.
• AWS cost optimization / FinOps awareness.
• Datadog, CloudWatch, or Prometheus/Grafana.
• AIOps: Exposure to AI-driven anomaly detection, root-cause analysis, or incident triage (e.g., Dynatrace Davis AI, Datadog Bits AI, Harness AIDA).
• Database Basics: RDS backups, restores, performance tuning.
Job Description:
Pre-requisite skills required for a DevOps Engineer role include:
- 6+yrs exp in DevOps
- Experience working on Linux based infrastructure
- knowledge in AWS, docker, CI/CD tools
- Hands on exp in Python/shell scripting language
- hands on exp in AWS and Azure
- Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
- Excellent understanding of Ruby, Python, Perl, and Java
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
Location: Bangalore preferred / Hybrid as applicable
Experience: 3+ years
Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline
Salary: Above market standards, flexible for the right candidate
Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations
About FrontM
FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.
The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.
Role Summary
As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.
This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.
Key Responsibilities
Cloud Infrastructure & DevOps Architecture (≈45%)
· Own, maintain and improve AWS cloud infrastructure for FrontM platforms
· Create and maintain Terraform scripts for infrastructure deployment and management
· Manage Kubernetes workloads deployed within AWS EKS
· Support multi-zone AWS infrastructure design for availability, resilience and scale
· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap
CI/CD, Operations & Platform Reliability (≈35%)
· Build, maintain and improve CI/CD pipelines for backend and platform services
· Oversee technical operations with hands-on administration, monitoring and release support
· Ensure continuous server uptime, stability, performance and maintainability
· Debug, respond to and restore system outages in production and staging environments
· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io
· Support backend stability, scale and performance across Node.js, Java and related services
Security, Networking & Production Support (≈20%)
· Maintain AWS security configurations, access controls and monitoring practices
· Support complex networking requirements across multi-domain SaaS implementations
· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users
· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements
· Document operational procedures, incident findings and technical support steps clearly
Required Technical Skills
Cloud Infrastructure & AWS
· Strong hands-on experience with AWS infrastructure and cloud operations
· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Experience with AWS security setup, monitoring and multi-zone infrastructure
· Ability to manage infrastructure using Terraform
Kubernetes, CI/CD & Observability
· Strong experience with Kubernetes, preferably AWS EKS
· Extensive CI/CD and DevOps experience
· Experience with infrastructure observability and application monitoring tools
· Ability to diagnose production bottlenecks, server failures and performance issues
Backend, Networking & SaaS Operations
· Experience supporting Node.js, Java and backend system procedures for stability and scale
· Good understanding of APIs, integrations and backend service dependencies
· Experience with complex networking and multi-domain SaaS implementations
· Ability to troubleshoot technical issues with non-technical end users
Nice to Have
· Experience with MongoDB clusters in MongoDB Atlas
Personal Attributes
· Strong ownership mindset for uptime, reliability and production stability
· Practical problem-solving approach with the ability to act quickly during incidents
· Clear written and spoken communication in English
· Ability to work independently and coordinate with senior management when required
· Comfortable working in fast-moving engineering teams
· Attention to detail in security, monitoring, documentation and operational processes
Why join FrontM?
Long-Term Career Growth
Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.
Engineering Challenges That Matter
Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.
Broad Technical Ownership
Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.
Apply now
Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.
Key Responsibilities
- Automate application deployments from Bitbucket to servers using CI/CD pipelines.
- Design and manage scalable, highly available AWS infrastructure.
- Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
- Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
- Build and manage Docker containers and server images.
- Deploy and manage applications using Kubernetes.
- Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
- Develop automation scripts using Python and Bash.
- Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
- Integrate security and compliance practices into CI/CD pipelines.
- Optimize infrastructure for security, scalability, performance, and cost.
Required Skills
- 3+ years of experience in DevOps or a similar role.
- Strong knowledge of AWS beyond EC2.
- Hands-on experience with Jenkins or similar CI/CD tools.
- Experience with Docker and Kubernetes.
- Good understanding of Terraform/IaC and automation.
- Proficiency in Python and/or Bash scripting.
- Knowledge of DevSecOps, security, and compliance best practices.
- Strong troubleshooting and problem-solving skills.
Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.
What you'll do:
- Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
- Containerize apps with Docker, deploy on Kubernetes clusters
- Manage infrastructure as code (Terraform, CloudFormation)
- Set up monitoring (Prometheus, Grafana, ELK Stack)
- Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
- Optimize costs and performance for live production systems
What we need:
- Basic Python/Bash scripting
- Docker basics, Git workflows
- Cloud exposure (AWS/GCP/Azure free tier projects)
- Problem-solving mindset, eagerness to learn
Real impact:
- Deploy apps used by 1000+ daily users
- Work with senior DevOps engineers on client deliverables
- Build portfolio for FAANG-level interviews
AWS / Kubernetes / OpenShift / Linux –
Location: Bangalore
Experience: 7–10 Years
Mandatory Skills:
- Strong hands-on experience with AWS
- Experience in Kubernetes & OpenShift
- Strong knowledge of Linux administration
- Experience with Docker & containerization
- Knowledge of CI/CD pipelines and DevOps practices
- Troubleshooting, monitoring, and deployment experience
Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift
Job Description:
- Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
- CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
- Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
- Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
- Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
- Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
- Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
- Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.
Qualifications:
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: 7 - 10 years of overall experience with relevant experience of at least 7 years in DevOps and served as a lead or senior engineer.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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.
You will be part of the DevOps engineers' team, managing large customer deployments including Linux and Windows Administration, Large Enterprise Application, and Big Data Workloads. You will have broad business and 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. 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. If you love to solve problems using your skills, then come 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?
- Application migration projects from on-premises to AWS.
- Database (RDBMS, NoSQL, DW, Hadoop) migration projects from on-premises to AWS.
- Automate operational and server provisioning workflows using AWS CFT on AWS.
- Share the responsibility for deploying releases and conducting other operations maintenance.
- Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana.
- Provide operational support for the rest of the Engineering team.
- Help migrate our remaining dedicated hardware infrastructure to the cloud.
- Establish and maintain operational best practices.
What do you have?
- 2+ years of experience in using Terraform for IaaC.
- 2+ years of configuration management and engineering for large scale customers, ideally supporting an Agile development process.
- 2+ years of Linux Administration experience.
- Deep understanding of version control systems (git), including branching and merging strategies.
- Experience working with cloud platforms (AWS/EC2/ ECS/ RDS/ CloudFormation, Cloudwatch, etc.) and cloud automation tools (Ansible, Chef).
- Experience with software build tools (Maven, Gradle) and continuous integration tools (Jenkins).
- Must have supported Java-based applications in a production environment.
- Experience with Linux environments and scripting languages - bash, python, Groovy.
- Experience in supporting Node.js in production is a plus.
- Knowledge of service discovery tools such as Consul is a plus.
- Comfortable working late evening hours, which is when most patching occurs.
- You are extremely proactive at identifying ways to improve things and make them more reliable.
You will be preferred if
- You are AWS DevOps Pro or AWS SA Pro Certified
About the Role
We are looking for an experienced AWS DevOps Engineer with around 4 years of hands-on experience to join our infrastructure/DevOps team. The ideal candidate will independently design, deploy, and maintain cloud infrastructure primarily on AWS, drive automation initiatives, mentor junior engineers, and work closely with cross-functional teams to build scalable, secure, and highly available systems. Exposure to Azure is a strong plus.
Key Responsibilities
· Design, deploy, and maintain robust, scalable, and secure infrastructure on AWS
· Architect and manage core AWS services such as EC2, S3, VPC, IAM, RDS, Lambda, ECS/EKS, Route 53, and CloudFront
· Build, own, and optimize CI/CD pipelines (e.g., CodePipeline, Jenkins, GitLab CI, GitHub Actions) to enable fast and reliable deployments
· Design and implement Infrastructure as Code (IaC) using Terraform / AWS CloudFormation
· Set up and manage monitoring, logging, and alerting solutions (CloudWatch, ELK, Prometheus, Grafana, Datadog, etc.)
· Implement and enforce security best practices including IAM policies, security groups, NACLs, KMS, Secrets Manager, and compliance standards
· Lead troubleshooting and root cause analysis for infrastructure, deployment, and production incidents
· Drive backup, disaster recovery, high-availability, and cost-optimization strategies (Reserved Instances, Savings Plans, right-sizing)
· Containerize applications and manage orchestration using Docker, ECS, and/or Kubernetes (EKS)
· Automate repetitive operational tasks through scripting and tooling
· Support any hybrid or multi-cloud initiatives involving Azure services, where applicable
· Mentor junior engineers and review their work, providing technical guidance
· Collaborate with development, QA, security, and product teams to support and streamline application deployments
· Maintain comprehensive documentation of architecture, configurations, processes, and runbooks
· Participate in on-call rotations and incident response as needed
Required Skills & Qualifications
· Bachelor's degree in Computer Science, IT, or a related field (or equivalent practical experience)
· 4+ years of hands-on experience working with AWS cloud services in a production environment
· Strong expertise in core AWS services: EC2, S3, VPC, IAM, RDS, Lambda, CloudWatch, ECS/EKS, Route 53, ELB/ALB, Auto Scaling
· Solid understanding of networking concepts (subnets, routing, security groups, load balancers, VPNs, VPC peering, Direct Connect)
· Strong scripting/programming skills in Python, Bash, or PowerShell for automation
· Hands-on experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation
· Proven experience with Linux and/or Windows server administration
· Strong understanding of CI/CD pipelines, Git-based version control, and branching strategies
· Solid experience with containerization and orchestration (Docker, ECS, or EKS/Kubernetes)
· Experience with configuration management tools (Ansible, Chef, or Puppet) is a plus
· Application Server Management — strong knowledge of networking, firewalls, load balancers, Nginx, Apache, etc.
· Ability to independently read, interpret AWS documentation, and troubleshoot complex issues
· Experience with cost optimization, security audits, and compliance frameworks (e.g., ISO, SOC2) is a plus
· AWS certification (Solutions Architect Associate/Professional, DevOps Engineer Professional) preferred
Good to Have
· Working knowledge of Microsoft Azure services (Virtual Machines, VNets, Azure DevOps, Azure Storage, Azure AD/Entra ID, AKS)
· Experience with multi-cloud or hybrid-cloud environments
· Familiarity with Azure Resource Manager (ARM) templates or Bicep
· Any Azure certification (AZ-104, AZ-400, etc.)
Soft Skills
· Strong analytical, problem-solving, and decision-making ability
· Excellent verbal and written communication skills
· Ability to mentor and guide junior team members
· Proactive, ownership-driven approach to infrastructure and incident management
· Strong collaboration skills in a cross-functional, team-oriented environment
· High attention to detail with a focus on reliability and scalability
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon