DevOps & Cloud Architect Engineer
hace 2 semanas
HyphaMetrics is an AI-powered media intelligence company redefining how the world understands audience behavior. Our technology unifies viewing across streaming, linear TV, social video, and gaming to deliver the industry's first person-level, cross-platform metric. We partner with leading networks, brands, and measurement platforms to unlock transparent, privacy-first insights that fuel the future of media.
We're a team of builders, scientists, and innovators who believe that data can - and should - tell a more human story. If you thrive in fast-moving environments, crave impact, and love shaping what's next, you'll feel right at home at HyphaMetrics.
Position OverviewHyphaMetrics is seeking a highly skilled DevOps & Cloud Architect Engineer. This role is critical to maintaining and enhancing our cloud infrastructure and CI/CD automation for current and future software development initiatives.
The ideal candidate will be responsible for ensuring 99.9% uptime of our online services to meet Service Level Agreements (SLA), implementing continuous improvements with each software release, and managing both on-premises and cloud-based infrastructure across GCP, AWS, and other platforms.
Reporting directly to our Tech Lead, this is a senior-level technical position requiring a minimum of 5 years of experience, strong expertise in DevOps practices, cloud architecture, and infrastructure automation. The role offers flexibility in work modality and the opportunity to work with cutting-edge technologies in an AI-powered media intelligence company.
Duties & ResponsibilitiesCore Responsibilities
- Support the company's efforts in developing and refining the corporate vision
- Work collaboratively with teams to develop and apply strategies that create long-term value in the company's evolution, including both internal and external efforts
- Create effective alignment by working as a team to successfully resolve challenges across the company using empathetic, problem-solving, practical, and future-focused tactics
Inspire current and future HyphaMetrics employees by upholding and exercising the company's core values to help maintain a customer-first focused organization
Infrastructure Automation: Implement and maintain Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Ansible
- CI/CD Pipeline Management: Design and maintain continuous integration and continuous deployment pipelines to automate release and deployment processes using Jenkins or GitHub Actions
- Cloud Infrastructure Management: Manage and optimize cloud infrastructure on platforms including AWS, Azure, and Google Cloud, ensuring high availability, security, and cost optimization
- Monitoring and Logging: Implement robust monitoring and logging systems using tools such as Prometheus, Grafana, ELK stack, or Datadog to ensure high performance and rapid issue resolution
- Containerization and Orchestration: Utilize Docker for containerization and Kubernetes for orchestration, managing both on-premises and cloud environments
- Security Implementation: Apply security best practices in infrastructure, ensuring systems are secure, compliant, and resilient against threats
- FinOps Management: Collaborate with finance and engineering teams to establish financial accountability for cloud usage, implement cost management practices, and provide forecasting and budgeting insights
- System Uptime Management: Maintain 99.9% uptime of online services to meet Service Level Agreements (SLA)
- Disaster Recovery: Implement weekly disaster recovery backups for software and databases, stored securely both locally and online
- Security & Threat Prevention: Prevent and mitigate online attacks through proactive security measures
Note: These responsibilities are secondary in priority to core DevOps duties.
- Architecture Design: Lead the design and architecture of scalable, maintainable, and high-performance cloud systems with ownership of key technical decisions
- Performance Optimization: Collaborate with teams to optimize cloud resource usage for performance and cost efficiency
- High Availability Design: Design and implement effective disaster recovery strategies and ensure high availability of services in cloud environments
- Technology Evaluation: Assess and recommend emerging cloud technologies and tools that align with business goals
- Cross-functional Collaboration: Work closely with product management, engineering, and operations teams to ensure cloud solutions meet business requirements and project timelines
Required Qualifications
- Experience: Minimum 5 years of professional experience in DevOps, cloud infrastructure, or related roles
- English Proficiency: 90% advanced level (reading, writing, speaking)
- Level: Senior / Expert level professional
1. Linux System Administration
- File systems: permissions (chmod, chown), disk partitions, and volume mounting
- Process management: identifying zombie processes, killing hung applications, managing background services (systemd)
- SSH & Access: generating SSH keys, managing authorized_keys, secure tunneling to remote servers
2. Networking Fundamentals
- Protocols: HTTP/HTTPS (status codes), TCP/IP, and DNS
- Cloud Networking: VPCs, Subnets, Route Tables, and NAT Gateways
- Firewalls: configuring Security Groups or iptables to allow traffic on specific ports
3. Scripting & Automation
- Bash/Shell: writing scripts with loops, variables, and error handling
- Python/Go: writing complex scripts that interact with APIs
- API Interaction: RESTful APIs, JSON data formats, and authentication using tokens
4. Version Control
- Branching models: Feature Branching vs Trunk-Based Development
- Pull Requests: code review and merge conflict resolution
- Tagging/Releases: semantic versioning and release tagging for deployment
5. Infrastructure as Code (IaC)
- Declarative vs Imperative: understanding the difference between scripting vs desired state configuration
- State Files: understanding state management and the risks of manual modification
6. Security (DevSecOps)
- IAM: understanding Roles, Policies, and the Principle of Least Privilege
- Secrets Management: never committing passwords or API keys to Git, injecting them as environment variables at runtime
7. Troubleshooting & Debugging
- Log Analysis: ability to grep through massive log files to find root cause
- Resource Analysis: identifying performance bottlenecks (CPU, RAM, Disk I/O, Network latency)
From Day 1:
- GCP GKE (Google Kubernetes Engine)
- GitHub Repositories
- PAS (Platform Application Services)
- AWS (Amazon Web Services)
- MongoDB
Core Tools & Technologies:
- Foundation: Linux (Ubuntu/CentOS), Terminal/Bash, Git
- Build & Deploy: Docker, Kubernetes (K8s), Python
- CI/CD Automation: Jenkins, GitHub Actions
- Infrastructure: GCP, AWS, Terraform, Ansible
- Monitoring: Prometheus, Grafana, ELK Stack
- Technical Excellence: Deep expertise in DevOps practices, cloud infrastructure, and automation with ability to make key technical decisions independently
- Problem-Solving: Strong troubleshooting and debugging skills with ability to identify root causes quickly and implement effective solutions
- Automation Focus: Passion for automating processes and optimizing workflows to improve efficiency and reduce manual intervention
- Security Mindset: Commitment to security best practices and compliance with ability to implement secure infrastructure and prevent threats
- Collaboration: Effective team player who can work collaboratively with cross-functional teams including development, operations, and business stakeholders
- Performance Under Pressure: Ability to work effectively under pressure, especially during critical incidents and system outages
- Proactive Approach: Self-starter who identifies and addresses potential issues before they become problems
- Continuous Learning: Commitment to staying current with emerging technologies and industry best practices
- Communication: Strong verbal and written communication skills in both English (90%) and technical documentation
- Adaptability: Flexibility to work in different modalities (remote/hybrid/on-site) and adjust to changing priorities and requirements
- Experience with serverless architectures and event-driven systems
- Experience with microservices architecture
- Certifications in AWS, Azure, or GCP
- Familiarity with Agile methodologies (Scrum, Kanban)
Work Environment
- Work Modality: Flexible - remote, hybrid, or on-site based on team needs
- Schedule Flexibility: Occasional flexibility required for off-hours software releases to avoid impact on team and core metrics during business hours
- Methodology: Scrum and Kanban agile methodologies
- Daily Tools: Jira, Slack, Email, WhatsApp
- Equipment: we provide you with a MacBook Pro
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