AWS Cloud Developer

Job Title: AWS Cloud Engineer (Terraform & Monitoring Tools)

Experience: 8–10 Years

Location: Bangalore / Hyderabad

Joining: Immediate Joiners Preferred - 20 day serving

Job Description:

We are looking for an experienced AWS Cloud Engineer with 8+ years of experience in cloud infrastructure, automation, and monitoring. The ideal candidate should have strong expertise in AWS, Terraform, and at least one monitoring/observability tool such as Splunk, AppDynamics, or Grafana.

Required Skills:

• 8–10 years of IT experience with strong AWS cloud expertise
• Hands-on experience with Terraform for Infrastructure as Code (IaC)
• Experience with Splunk, AppDynamics, or Grafana (any one mandatory)
• Knowledge of cloud monitoring, logging, and performance optimization
• Experience with CI/CD pipelines and cloud infrastructure automation
• Strong troubleshooting, analytical, and communication skills

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

Job Summary

We are looking for an experienced AWS Cloud Engineer with strong expertise in AWS infrastructure, deployment, migration, and cloud operations. The candidate should have hands-on experience managing AWS services such as EC2, EBS, S3, EFS, and FSx, along with infrastructure provisioning, migration, troubleshooting, and optimization.

Key Responsibilities

• Design, deploy, configure, and manage AWS infrastructure environments.
• Perform application and infrastructure migration to AWS.
• Provision and manage EC2 instances, including configuration, scaling, patching, and troubleshooting.
• Manage EBS volumes, snapshots, backups, and storage performance.
• Configure and administer S3 buckets, storage policies, lifecycle management, and access controls.
• Manage EFS for scalable shared file storage.
• Implement and manage Amazon FSx file systems based on application requirements.
• Monitor AWS infrastructure performance, availability, and capacity.
• Troubleshoot infrastructure, networking, storage, and deployment-related issues.
• Implement security best practices including IAM, security groups, encryption, and access controls.
• Support backup, disaster recovery, high availability, and business continuity requirements.
• Optimize AWS resources for performance, scalability, reliability, and cost.

Mandatory Skills

• Strong hands-on experience in AWS Cloud Infrastructure.
• Expertise in EC2, EBS, S3, EFS, and FSx.
• Experience in AWS deployment and migration projects.
• Strong knowledge of AWS networking concepts such as VPC, Subnets, Route Tables, Security Groups, and Load Balancers.
• Experience with IAM and AWS security best practices.
• Good knowledge of AWS monitoring and troubleshooting.
• Experience with cloud infrastructure automation using Terraform or CloudFormation is preferred.
• Strong Linux administration and troubleshooting skills.
• Good understanding of backup, disaster recovery, and high-availability concepts

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

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

Legacy infrastructure doesn't retire itself. Someone has to build the pipelines, rehearse the cutover, and carry the release into production  and that's this seat. As a Senior AWS DevOps Engineer, you serve our application and infrastructure modernization work: you own build and release cycles for customer projects, land migrations from legacy hardware to AWS, and make deployments boring in the best sense of the word.

Agents change what this job looks like day to day. Aedeon and automation handle the repetitive discovery, mapping, and validation work that used to eat engineer hours. That leaves you the parts that actually need a senior engineer: infrastructure architecture, risk tradeoffs, release judgment, and the operational standards the whole team ships against. You'll work client-facing, embedded with customer teams, and the delivery commitment is one you carry personally.

What we are looking for?

• 4+ years with Terraform for Infrastructure as Code (IaC) including modules, remote state, state management, imports and multi account providers.
• Experience in designing highly available and secure AWS architecture within strong understanding of RTO/RPO and DR Strategies.
• 4+ years in configuration management and systems engineering, supporting large-scale Agile environments.
• 4+ years of Linux or Windows administration.
• 4+ years working with Git, with a solid grasp of branching and merging strategies.
• 4+ years hands-on with AWS infrastructure and platform services.
• 2+ years with cloud automation tools such as Ansible or Chef.
• 2+ years with container orchestration, Kubernetes (EKS), AWS ECS, and Docker.
• A proactive, solutions-oriented approach and a drive to improve reliability and scalability.

What you will do?

• Automate infrastructure creation with Terraform and AWS CloudFormation — infrastructure as code, not tickets and toil.
• Own application configuration management and drive Infrastructure as Code through deployment tooling.
• Own the build and release cycle for customer projects, end to end.
• Share responsibility for deploying releases and for operations and maintenance work.
• Improve the operations infrastructure we ship with — Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
• Support the engineering team operationally and help migrate legacy infrastructure to the cloud — retiring the old systems, not just standing up new ones.
• Establish and enforce operational best practices, and hold releases to them.
• Help hire culturally aligned engineers and mentor them as they grow.
• Work with the founders on team strategy and long-term technical planning.
• Work across distributed teams in the US and India, and with customer SMEs, to keep the business logic honest through migration.

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.

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 Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience : 4+ Years

Location : Gurugram, Sector 48, Haryana (On-site)

Employment Type : Full-Time

Working Days : Monday to Saturday (1st & 3rd Saturday Off)

About the Role :

We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.

The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.

Mandatory Skills :

Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting

Key Responsibilities :

• Manage and maintain AWS cloud infrastructure.
• Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Deploy, monitor, and troubleshoot applications across production environments.
• Automate infrastructure using Terraform and Ansible.
• Manage Docker containers and Kubernetes clusters.
• Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
• Perform Linux server administration and troubleshooting.
• Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
• Collaborate with development teams to support application releases and automation.

Required Qualifications :

• Bachelor's degree in Computer Science or related field.
• 4+ years of hands-on experience in DevOps / SRE.
• Strong Linux administration and production troubleshooting skills.
• Experience with AWS and modern DevOps toolchains.
• Hands-on experience with application deployment and production support.

What We're Looking For :

• Strong practical Linux and cloud knowledge.
• Real production experience with application deployments.
• Ability to troubleshoot both infrastructure and application issues.
• Experience handling live production incidents.
• Excellent communication and problem-solving skills.
• Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.

Interview Process :

1. HR Screening
2. Technical Round
3. Client Technical Round
4. Final Discussion

Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.

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

We are seeking a skilled and experienced Senior DevOps Engineer to join our team. As a Senior DevOps Engineer, you will play a crucial role in designing, implementing, and managing our cloud infrastructure on AWS, while utilizing Docker, Kubernetes, Terraform and Argo CD for containerization and deployment. You will collaborate closely with development teams to ensure smooth software releases, scalability, and reliability of our systems. Also, you will be working on Airflow and Spark configurations for Data pipelines.

Responsibilities:

• Design, implement, and maintain scalable and secure cloud infrastructure on AWS, utilizing services such as EC2, S3, VPC, IAM, and Lambda.
• Build, deploy, and manage containerized applications using Docker and Kubernetes.
• Develop and maintain CI/CD pipelines to enable continuous integration, automated testing, and deployment using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Implement and manage infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of AWS resources.
• Monitor and troubleshoot infrastructure and application issues, ensuring high availability, performance, and scalability of the system.
• Collaborate with development teams to ensure smooth and efficient software releases, including version control, branching strategies, and release management.
• Implement and maintain robust security practices, including access control, network security, and data encryption.
• Automate manual tasks and processes using scripting languages (e.g., Python, Bash) and configuration management tools (e.g., Ansible).
• Collaborate with cross-functional teams to gather requirements, provide technical guidance, and implement best practices for infrastructure and deployment processes.
• Stay up-to-date with the latest DevOps tools, technologies, and best practices, and identify opportunities for improvement and optimization in our infrastructure and processes.

Requirements:

• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.
• Proven experience as a DevOps Engineer, with a focus on AWS, Docker, Kubernetes, and Argo CD.
• Strong experience in designing, implementing, and managing cloud infrastructure on AWS, including services like EC2, S3, VPC, IAM, and Lambda.
• Hands-on experience with containerization technologies, specifically Docker and Kubernetes.
• Proficiency in CI/CD pipeline setup and management using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline.
• Solid understanding of infrastructure as code (IaC) principles and experience with tools like Terraform or CloudFormation.
• Experience in monitoring and troubleshooting complex infrastructure and application issues.
• Strong scripting and automation skills using languages such as Python, Bash, or PowerShell.
• Excellent problem-solving and analytical skills, with the ability to handle and prioritize multiple tasks in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Preferred Qualifications:

• AWS certifications, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
• Experience with infrastructure monitoring and logging tools like CloudWatch, ELK stack, or Prometheus/Grafana.
• Knowledge of serverless architectures and experience with AWS Lambda.
• Familiarity with other cloud platforms (e.g., Azure, Google Cloud Platform).
• Understanding of security best practices and experience implementing security measures in cloud infrastructure.