Director of Cloud Native Applications

Caylent
Full_time•Argentina

📍 Job Overview

  • Job Title: Director of Cloud Native Applications
  • Company: Caylent
  • Location: Argentina
  • Job Type: Full-Time
  • Category: Cloud Engineering & Software Development Leadership
  • Date Posted: June 24, 2025
  • Experience Level: 10+ years
  • Remote Status: On-site (up to 25% travel may be required)

🚀 Role Summary

  • Lead and grow Caylent's Cloud Native Applications Practice, driving technical excellence and business growth.
  • Oversee customer engagements, ensuring high-quality delivery, customer satisfaction, and operational excellence.
  • Collaborate with AWS, leveraging latest technologies and programs to enhance service offerings.
  • Foster a culture of innovation and continuous learning, driving AI-powered solutions both internally and for clients.
  • Work closely with cross-functional teams, including talent, sales, marketing, and operations.

📝 Enhancement Note: This role requires a strong balance of technical leadership, customer orientation, and business acumen to drive success in a fast-paced, global environment.

💻 Primary Responsibilities

  • Practice Leadership: Define and execute the strategic vision for the Cloud Native Applications Practice, ensuring alignment with company objectives and AWS best practices.
  • Technical Excellence: Establish and promote industry-leading methodologies, frameworks, and architectures for cloud-native solutions.
  • People Management: Lead, mentor, and grow a team of 50+ software engineers, architects, and consultants, fostering a culture of innovation and continuous learning.
  • Delivery Excellence: Oversee the successful execution of customer engagements, ensuring high-quality delivery, customer satisfaction, and operational excellence.
  • AWS Partnership: Strengthen collaboration with AWS, leveraging latest technologies and programs to enhance service offerings.
  • Business Growth: Support pre-sales efforts, contribute to go-to-market strategies, and help drive revenue growth by aligning technical capabilities with business opportunities.
  • Innovation & Thought Leadership: Stay ahead of industry trends, drive innovation within the practice, and represent the company in conferences, webinars, and AWS-related events.
  • AI & Emerging Technologies Leadership: Drive the development and implementation of AI-powered solutions both internally and for customers.

📝 Enhancement Note: This role involves a high degree of strategic planning, stakeholder management, and technical leadership to ensure the successful growth and delivery of Caylent's Cloud Native Applications Practice.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree would be an asset.

Experience: 8+ years of experience in cloud engineering and software development, with at least 5 years in a leadership role. Proven experience leading and delivering large (multi-million dollar) software projects.

Required Skills:

  • Deep expertise in AWS services, architectures, and best practices
  • Strong background in software development patterns, architectures, and best practices
  • Proven experience leading and scaling an engineering practice or department, ideally within an AWS-focused services company
  • Excellent leadership, communication, and stakeholder management skills
  • Experience working with enterprise clients across various industries
  • Experience working with cross-practice teams (talent, sales, marketing, operations, etc.)

Preferred Skills:

  • AWS Certifications
  • Experience working in a client-facing environment
  • Experience working in consulting or professional services
  • Experience working in a product-focused SaaS company
  • Experience building, delivering, and using GenAI products and solutions

📝 Enhancement Note: Given the global nature of this role, candidates with experience working in diverse, remote teams and navigating different time zones will be at an advantage.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • Demonstrate a strong track record of leading and delivering complex cloud-native projects, with a focus on AWS services and best practices.
  • Showcase successful customer engagements, highlighting customer satisfaction and operational excellence.
  • Highlight your ability to drive innovation and thought leadership in cloud-native application development.

Technical Documentation:

  • Provide detailed project documentation, including architecture decisions, technical specifications, and performance metrics.
  • Demonstrate your understanding of AWS Well-Architected Framework and other relevant AWS best practices.
  • Showcase your ability to lead and mentor technical teams, with examples of knowledge sharing and mentoring initiatives.

📝 Enhancement Note: Given the leadership nature of this role, focus on demonstrating your ability to drive technical excellence, scale delivery capabilities, and enable engineering teams.

💵 Compensation & Benefits

Salary Range: $180,000 - $250,000 USD per year (based on experience and qualifications)

Benefits:

  • Pay in USD
  • 100% remote work (up to 25% travel may be required)
  • Generous holidays and flexible PTO
  • Competitive phantom equity
  • Paid for exams and certifications
  • Peer bonus awards
  • State-of-the-art laptop and tools
  • Equipment & office stipend
  • Individual professional development plan
  • Annual stipend for Learning and Development
  • Work with an amazing worldwide team and in an incredible corporate culture

📝 Enhancement Note: While the salary range is provided, it is essential to research regional salary standards and cost of living for Argentina to ensure competitiveness.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud native services, focusing on Amazon Web Services (AWS)

Company Size: Medium (51-200 employees)

Founded: Not specified

Team Structure:

  • The Cloud Native Applications Practice consists of 50+ software engineers, architects, and consultants.
  • The team works closely with cross-functional teams, including talent, sales, marketing, and operations.
  • The practice reports directly to the company's leadership team.

Development Methodology:

  • Agile/Scrum methodologies and sprint planning for cloud projects
  • Code review, testing, and quality assurance practices
  • Deployment strategies, CI/CD pipelines, and server management using AWS services

Company Website: Caylent

📝 Enhancement Note: Caylent's culture emphasizes technological curiosity, customer orientation, and a global mindset, making it an attractive choice for experienced cloud engineers seeking a leadership role in a dynamic environment.

📈 Career & Growth Analysis

Cloud Engineering Leadership Role: This role involves strategic planning, technical leadership, and people management, requiring a strong balance of business acumen and technical expertise.

Reporting Structure: The Director of Cloud Native Applications reports directly to the company's leadership team, collaborating closely with various cross-functional teams.

Technical Impact: This role has a significant impact on Caylent's cloud engineering practice, driving technical excellence, innovation, and customer satisfaction.

Growth Opportunities:

  • Technical Leadership: Grow into a more senior leadership role, such as Vice President of Cloud Engineering or Chief Technology Officer.
  • Business Growth: Contribute to Caylent's expansion by driving revenue growth and strategic partnerships.
  • Thought Leadership: Establish yourself as a thought leader in cloud-native application development, representing Caylent at industry events and conferences.

📝 Enhancement Note: Given Caylent's focus on AWS and its commitment to driving innovation, this role presents excellent growth opportunities for experienced cloud engineers seeking to advance their careers in a dynamic, global environment.

🌐 Work Environment

Office Type: Fully remote, with up to 25% travel required for business needs

Office Location(s): Argentina (with a global team spread across Canada, the United States, and Latin America)

Workspace Context:

  • Collaborative workspace with a focus on knowledge sharing and continuous learning
  • Access to state-of-the-art tools and equipment for cloud engineering and development
  • Cross-functional collaboration with designers, marketers, and other stakeholders to drive customer satisfaction and business growth

Work Schedule: Full-time (40 hours per week), with flexible hours and project deadline-driven maintenance windows

📝 Enhancement Note: Caylent's fully remote work environment fosters a global mindset and encourages collaboration across time zones, making it an attractive choice for experienced cloud engineers seeking a flexible, dynamic work environment.

📄 Application & Technical Interview Process

Interview Process:

  1. Technical Assessment: Demonstrate your expertise in cloud-native application development, AWS services, and best practices through hands-on exercises and case studies.
  2. Leadership Assessment: Showcase your leadership, communication, and stakeholder management skills through role-play scenarios and group discussions.
  3. Business Acumen Assessment: Discuss your understanding of Caylent's business model, go-to-market strategies, and revenue growth opportunities.
  4. Final Evaluation: Present your vision for driving technical excellence, innovation, and customer satisfaction within Caylent's Cloud Native Applications Practice.

Portfolio Review Tips:

  • Highlight your ability to lead and deliver complex cloud-native projects, with a focus on AWS services and best practices.
  • Showcase successful customer engagements, highlighting customer satisfaction and operational excellence.
  • Demonstrate your understanding of AWS Well-Architected Framework and other relevant AWS best practices.

Technical Challenge Preparation:

  • Brush up on your AWS services and best practices knowledge, focusing on the latest releases and updates.
  • Prepare for leadership and business acumen assessments by researching Caylent's business model, market position, and growth opportunities.
  • Practice presenting your vision for driving technical excellence, innovation, and customer satisfaction within Caylent's Cloud Native Applications Practice.

ATS Keywords: (See the comprehensive list below)

📝 Enhancement Note: Given the leadership nature of this role, focus on demonstrating your ability to drive technical excellence, scale delivery capabilities, and enable engineering teams during the interview process.

🛠 Technology Stack & Web Infrastructure

Cloud Platform: Amazon Web Services (AWS)

Cloud Services:

  • Compute: Amazon EC2, AWS Lambda, AWS Fargate, etc.
  • Storage: Amazon S3, Amazon EBS, AWS Glacier, etc.
  • Database: Amazon RDS, Amazon DynamoDB, Amazon Redshift, etc.
  • Networking: Amazon VPC, AWS Direct Connect, AWS Transit Gateway, etc.
  • Security: AWS IAM, AWS Shield, AWS WAF, etc.
  • Management & Governance: AWS CloudFormation, AWS CloudWatch, AWS CloudTrail, etc.

Infrastructure as Code (IaC) Tools: AWS CloudFormation, Terraform, or similar tools

CI/CD Pipelines: AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, or similar tools

Monitoring & Logging: AWS CloudWatch, AWS CloudTrail, or similar tools

Containerization & Orchestration: Docker, Kubernetes, or similar tools

📝 Enhancement Note: Given Caylent's focus on AWS, candidates should have a deep understanding of AWS services, architectures, and best practices to excel in this role.

👥 Team Culture & Values

Cloud Engineering Values:

  • Customer obsession: Focus on customer satisfaction and operational excellence.
  • Technical excellence: Drive innovation and thought leadership in cloud-native application development.
  • Collaboration: Foster a culture of knowledge sharing and continuous learning.
  • Agility: Adapt quickly to changing customer needs and market trends.
  • Ownership: Take full responsibility for driving business growth and technical success.

Collaboration Style:

  • Cross-functional collaboration with designers, marketers, and other stakeholders to drive customer satisfaction and business growth.
  • Code review culture and peer programming practices to ensure high-quality delivery and technical excellence.
  • Knowledge sharing, technical mentoring, and continuous learning to drive innovation and career growth.

📝 Enhancement Note: Caylent's culture emphasizes customer obsession, technical excellence, and collaboration, making it an attractive choice for experienced cloud engineers seeking a dynamic, global work environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Scalability: Design and implement scalable cloud-native architectures to support business growth and high traffic.
  • Performance Optimization: Optimize cloud-native applications for performance, cost-efficiency, and scalability.
  • Security & Compliance: Ensure cloud-native applications comply with relevant security standards and regulations, such as HIPAA, PCI-DSS, or GDPR.
  • Emerging Technologies: Stay ahead of industry trends and drive innovation within Caylent's Cloud Native Applications Practice.

Learning & Development Opportunities:

  • Technical Skill Development: Deepen your expertise in AWS services, architectures, and best practices through continuous learning and certification programs.
  • Leadership Development: Enhance your leadership, communication, and stakeholder management skills through workshops, coaching, and mentoring opportunities.
  • Architecture Decision-Making: Gain experience in making critical architecture decisions that drive business growth and technical success.

📝 Enhancement Note: Given Caylent's focus on driving innovation and technical excellence, this role presents numerous learning and development opportunities for experienced cloud engineers seeking to advance their careers in a dynamic, global environment.

💡 Interview Preparation

Technical Questions:

  • Cloud Architecture: Describe your approach to designing and implementing scalable, secure, and highly available cloud-native architectures.
  • AWS Services: Demonstrate your expertise in AWS services, architectures, and best practices through hands-on exercises and case studies.
  • Leadership & Stakeholder Management: Discuss your experience leading and managing technical teams, as well as your ability to collaborate with cross-functional stakeholders.

Company & Culture Questions:

  • Business Model & Go-to-Market Strategies: Explain your understanding of Caylent's business model, market position, and revenue growth opportunities.
  • Customer Satisfaction: Describe your approach to ensuring high-quality delivery, customer satisfaction, and operational excellence.
  • Innovation & Thought Leadership: Discuss your vision for driving innovation and thought leadership within Caylent's Cloud Native Applications Practice.

Portfolio Presentation Strategy:

  • Technical Deep Dive: Present a detailed technical deep dive into a complex cloud-native project you've led, highlighting your approach to architecture, implementation, and optimization.
  • Customer Success Story: Showcase a successful customer engagement, highlighting customer satisfaction, operational excellence, and business growth.
  • Innovation & Thought Leadership: Present your vision for driving innovation and thought leadership within Caylent's Cloud Native Applications Practice, focusing on emerging technologies and trends.

📝 Enhancement Note: Given the leadership nature of this role, focus on demonstrating your ability to drive technical excellence, scale delivery capabilities, and enable engineering teams during the interview preparation process.

📌 Application Steps

To apply for this Director of Cloud Native Applications position at Caylent:

  1. Tailor Your Resume: Highlight your experience in cloud engineering, software development, and leadership, with a focus on AWS services, architectures, and best practices.
  2. Prepare Your Portfolio: Showcase your ability to lead and deliver complex cloud-native projects, with a focus on AWS services and best practices.
  3. Research Caylent: Understand Caylent's business model, market position, and revenue growth opportunities to demonstrate your fit for the role.
  4. Practice Interview Preparation: Brush up on your AWS services and best practices knowledge, as well as your leadership and stakeholder management skills, to excel in the interview process.

📝 Enhancement Note: Given the competitive nature of this leadership role, it is essential to tailor your application materials and prepare thoroughly to demonstrate your fit for the position.

ATS Keywords:

Programming Languages:

  • Python
  • JavaScript/TypeScript
  • Java
  • C#
  • Go
  • Ruby
  • PHP
  • .NET

Web Frameworks:

  • Node.js
  • Express.js
  • React
  • Angular
  • Vue.js
  • Flask
  • Django
  • Ruby on Rails
  • Laravel
  • ASP.NET

Cloud Platforms:

  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • IBM Cloud
  • Alibaba Cloud
  • Oracle Cloud

Cloud Services:

  • Compute: EC2, Lambda, Fargate, EKS, ECS, etc.
  • Storage: S3, EBS, Glacier, etc.
  • Database: RDS, DynamoDB, Redshift, etc.
  • Networking: VPC, Direct Connect, Transit Gateway, etc.
  • Security: IAM, Shield, WAF, etc.
  • Management & Governance: CloudFormation, CloudWatch, CloudTrail, etc.

Infrastructure as Code (IaC) Tools:

  • Terraform
  • CloudFormation
  • Ansible
  • Puppet
  • Chef
  • Packer

CI/CD Pipelines:

  • Jenkins
  • GitLab CI/CD
  • CircleCI
  • CodePipeline
  • CodeBuild
  • CodeDeploy
  • GitHub Actions
  • Travis CI

Monitoring & Logging:

  • CloudWatch
  • CloudTrail
  • Prometheus
  • Grafana
  • ELK Stack
  • Datadog
  • New Relic
  • AppDynamics

Containerization & Orchestration:

  • Docker
  • Kubernetes
  • Amazon ECS
  • Amazon EKS
  • Google Kubernetes Engine (GKE)
  • Azure Kubernetes Service (AKS)
  • OpenShift
  • Mesos
  • Nomad

Soft Skills:

  • Leadership
  • Communication
  • Stakeholder Management
  • Problem-Solving
  • Decision-Making
  • Adaptability
  • Collaboration
  • Teamwork
  • Mentoring
  • Coaching
  • Training
  • Public Speaking
  • Presentation Skills

Industry Terms:

  • Agile
  • Scrum
  • Kanban
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continuity Planning (BCP)
  • High Availability (HA)
  • Disaster Tolerance (DT)
  • Resilience
  • Fault Tolerance
  • Mean Time to Recovery (MTTR)
  • Mean Time to Failure (MTTF)
  • Mean Time Between Failures (MTBF)
  • Availability
  • Uptime
  • Downtime
  • Incident Management
  • Change Management
  • Release Management
  • Deployment Management
  • Configuration Management
  • Version Control
  • Git
  • GitHub
  • GitLab
  • Bitbucket
  • Perforce
  • SVN
  • Jenkins
  • CI/CD
  • Agile
  • Scrum
  • Kanban
  • Waterfall
  • V-Model
  • UML
  • Software Development Life Cycle (SDLC)
  • DevOps
  • Infrastructure as Code (IaC)
  • Continuous Integration (CI)
  • Continuous Deployment (CD)
  • Continuous Delivery (CD)
  • Microservices
  • Serverless Architecture
  • Containers
  • Orchestration
  • Cloud-Native
  • Hybrid Cloud
  • Multi-Cloud
  • Cloud Migration
  • Cloud Transformation
  • Cloud Governance
  • Cloud Security
  • Cloud Compliance
  • Cloud Cost Management
  • Cloud Optimization
  • Cloud Automation
  • Infrastructure Automation
  • Configuration Management
  • IT Service Management (ITSM)
  • IT Operations Management (ITOM)
  • Site Reliability Engineering (SRE)
  • Chaos Engineering
  • Chaos Monkey
  • Disaster Recovery (DR)
  • Business Continu

Application Requirements

Candidates should have 8+ years of experience in cloud engineering and software development, with at least 5 years in a leadership role. Deep expertise in AWS services and strong background in DevOps and automation are essential.