Senior DevOps Engineer

Senior Level Position

📋Position Overview

We’re seeking a talented Mid-Senior DevOps Engineer to join our innovative team and play a crucial role in revolutionizing corporate governance through AI-powered solutions. This position offers the opportunity to work at the intersection of cutting-edge technology and business transformation.

🎯 Primary Mission
Ensure the reliable, scalable deployment and operation of our AI-integrated platform that powers corporate governance solutions. You’ll be responsible for building and maintaining the infrastructure that supports our enterprise-grade governance solutions while implementing DevOps best practices to enable rapid, secure delivery of AI-powered features.

🏢 Industry Focus
Corporate Governance & Compliance Solutions.

🤖 Technology Stack
AI/ML Integration, Cloud Infrastructure, DevOps Automation

⚡Key Responsibilities

🏗️ Infrastructure Management
• Design and maintain scalable cloud infrastructure;
• Implement Infrastructure as Code practices;
• Optimize resource utilization and cost management;
• Ensure high availability and disaster recovery.

🔄 CI/CD & Automation
• Build and maintain deployment pipelines;
• Automate testing and quality assurance processes;
• Implement automated rollback mechanisms;
• Streamline development workflows.

🤖 AI/ML Operations
• Deploy and manage AI model serving infrastructure;
• Implement MLOps pipelines for model lifecycle;
• Monitor model performance and data drift;
• Scale AI workloads efficiently.

🔒 Security & Compliance
• Implement security best practices;
• Ensure compliance with governance standards;
• Manage secrets and access controls;
• Conduct security audits and assessments.

📊 Monitoring & Performance
• Set up comprehensive monitoring systems;
• Create alerting and incident response procedures;
• Analyze system performance and bottlenecks;
• Implement logging and observability solutions.

🤝 Collaboration & Support
• Work closely with development and product teams;
• Provide technical guidance and mentorship;
• Participate in architecture and design decisions;
• Support production systems and troubleshoot issues.

🎯Key Impact Areas

As a DevOps Engineer in our team, your work will directly impact these critical areas:

🚀 Platform Reliability
Ensure 99.9% uptime for mission-critical corporate governance applications serving enterprise clients worldwide.

Deployment Velocity
Enable rapid, secure delivery of AI-powered features, reducing deployment time from days to minutes.

🔒 Security & Compliance
Maintain enterprise-grade security standards and regulatory compliance for sensitive corporate data.

📈 Scalability
Build infrastructure that scales seamlessly with business growth and increasing AI workload demands.

🤖 AI Innovation
Enable cutting-edge AI capabilities in corporate governance, driving digital transformation for clients.

💰 Cost Optimization
Optimize cloud costs and resource utilization, directly impacting company profitability and efficiency.

Requirements & Qualifications

Essential Requirements
5+ years of DevOps/Infrastructure engineering experience.
Strong experience with cloud platforms (AWS, Azure, or GCP).
Proficiency in containerization (Docker, Kubernetes).
Infrastructure as Code (Terraform, CloudFormation, Ansible).
CI/CD pipeline design and implementation.
Monitoring and observability tools (Prometheus, Grafana, ELK).
Preferred Qualifications
Experience with AI/ML model deployment and MLOps.
Knowledge of corporate governance or compliance domains.
Security best practices and compliance frameworks.
Scripting languages (Python, Bash, PowerShell).
Agile/Scrum methodologies experience.
Bachelor’s degree in Computer Science or related field.

🔄Hiring Process

1. Application Review: Initial screening of your resume and portfolio.

2. Initial Screening Call
30-minute conversation with our HR team to discuss your background, motivations, and answer initial questions.

3. Technical Assessment
Practical DevOps scenarios and infrastructure design discussion with our senior engineers.
Duration: 60-90 minutes

4. Technical Interview: Deep-dive technical discussion with senior engineers covering system design, best practices, and problem-solving approaches.
Duration: 60 minutes

5. Leadership & Culture Interview: Discussion with team leads and product managers about leadership experience, collaboration style, and cultural fit.
Duration: 45 minutes

6. Final Interview
Discussion with leadership about vision, growth opportunities, and finalizing details.
🎯 30-45 minutes

🌟Onboarding Journey

We design a comprehensive onboarding experience to set you up for success from day one:
Week 1: Foundation
• Introduction to our tech stack and architecture
• Assigned onboarding buddy and mentor

Week 2-3: Deep Dive
• Hands-on exploration of our infrastructure.
• Shadow senior team members on key processes.
• Complete DevOps certification programs.
• First small project assignment.
• Regular check-ins with manager.

Week 4-6: Integration
• Take ownership of specific infrastructure components
• Participate in sprint planning and retrospectives
• Begin contributing to team initiatives
• Cross-functional collaboration with product teams
• 30-day review and feedback session

Month 2-3: Ownership
• Lead your first major project.
• Contribute to architectural decisions.
• Mentor newer team members.
• Participate in on-call rotation.
• 90-day comprehensive review.

🌟 Ongoing Development & Support
📚 Continuous Learning

• $3,000 annual learning & development budget.
• Conference attendance and industry events.
• Internal tech talks and knowledge sharing.
• Certification support (AWS, Azure, etc.).

🎯 Career Growth

• Quarterly performance reviews and goal setting
• Clear promotion pathways and criteria
• Leadership development opportunities
• Cross-functional project assignments

Apply for the Senior DevOps Engineer Position

1. Personal Information
First Name
Last Name
Email
Phone Number
URL LinkedIn Profile
Current Location 
2. Education & Certifications
Highest Education Level
Field of Study
University/ Institution
Relevant Certifications
3. Professional Experience
Years of DevOps Experience
Current/Most Recent Position
Company Name
Key Achievements & Responsibilities
Technical Skills & Tools
4. Position-Specific Questions
Experience with AI/ML Infrastructure
Corporate/Enterprise Environment Experience
Scalability & High Availability Approach 
Security & Compliance Experience
5. Motivation & Cultural Fit
Why are you interested in this position?
How do you handle challenging technical problems?
Team Collaboration Style
Professional Development Goals
6. Availability
Preferred Start Date
Salary Expectations
Additional Comments
Resume & Portfolio
URL Link to your Resume/CV
URL Link to your Cover Letter
URL Links to your Portfolio/GitHub
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