Lead Cloud Infrastructure Engineer
2 weeks ago
Angi is revolutionizing the home services sector, fostering a space where homeowners, service providers, and employees feel truly at home. Our platform simplifies the process of connecting with qualified professionals for a variety of indoor and outdoor tasks, renovations, and more. We aim to be the ultimate destination for all home-related needs, empowering small businesses and offering seamless solutions for financing and booking services.
With over 25 years of experience, we have built a vast network of more than 200,000 service professionals and assisted over 150 million homeowners in enhancing their living spaces. We believe that home is the most significant place on earth and are committed to redefining how individuals maintain their homes. Angi is an exceptional environment to cultivate your career aspirations; we look forward to welcoming you.
About the Team
We are in search of a proficient Cloud Infrastructure Engineer with a strong background in Cloud Computing on AWS, Kubernetes workload management, and a specialization in ML Ops and data engineering tasks. This is an exciting opportunity for a motivated individual to join our team and engage with advanced technologies. The ideal candidate will possess extensive knowledge of cloud infrastructure, containerization, and automation, along with experience in designing, deploying, and sustaining intricate systems. Familiarity with data engineering, machine learning, and data pipelines is also essential. If you are enthusiastic about cloud technologies, Kubernetes, and ML Ops, we encourage you to consider this role.
Key Responsibilities
- Architect, deploy, and manage cloud infrastructure on AWS
- Establish and oversee Kubernetes clusters for workload management
- Create and maintain CI/CD pipelines for application deployment
- Develop and sustain data pipelines for ML Ops and other data engineering projects
- Collaborate with data scientists and engineers to design and implement ML models
- Monitor and resolve system performance and availability issues
- Automate deployment processes for infrastructure and applications
- Keep abreast of emerging technologies and industry developments
Qualifications
- Bachelor's degree in Computer Science or a related discipline
- 5+ years of experience in AWS cloud computing
- 3+ years of experience with Kubernetes and container orchestration
- Experience in ML Ops and data engineering tasks
- Proficiency in data engineering, machine learning, and data pipelines
- Strong programming capabilities in Python, Java, or Go
- Experience with automation and infrastructure as code
- Excellent problem-solving skills and meticulous attention to detail
- Strong communication and teamwork abilities
- Deep understanding of complex distributed systems
- Experience with monitoring and alerting frameworks
Preferred Qualifications
- Master's degree in Computer Science or a related field
- AWS certification
- Kubernetes certification
- Familiarity with Terraform, Helm, or similar infrastructure as code tools
- Experience with Docker or other containerization technologies
- Knowledge of data visualization and dashboarding tools
- Experience with big data technologies such as Hadoop or Spark
Commitment to Diversity
We recognize that the most innovative ideas arise from teams that embrace diverse perspectives, leading to new solutions for complex challenges. We welcome and value individuals who contribute varied life experiences, educational backgrounds, cultures, and professional journeys.
Compensation & Benefits
- The salary range for this position is between $155,000 and $200,000, depending on experience and performance. Compensation may vary based on factors such as living costs.
- This role is eligible for a competitive year-end performance bonus and equity package.
- Comprehensive medical, dental, and vision plans tailored to your needs.
- Flexible vacation policy; work diligently and take time off as needed.
- Pet discount plans and a retirement plan with company matching (401K).
- A unique opportunity to collaborate with talented, driven colleagues to tackle some of the most distinctive challenges and make a difference.
#LI-Remote
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