At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a AWS DevOps Engineer:
The Challenge (Responsibilities)
- Design, manage, and optimize continuous integration and continuous delivery (CI/CD) pipelines using tools such as Jenkins, GitHub Actions, GitLab CI/CD, AWS Code Pipeline, or similar.
- Implement and maintain scalable and secure infrastructures utilizing AWS cloud services.
- Work closely with development teams to ensure agile and efficient deployments.
Your Profile (Requirements)
- 5+ years of professional experience in DevOps.
- Strong hands-on experience with AWS cloud services.
- Experience designing and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI/CD, AWS Code Pipeline, or similar.
- Experience with Docker and Kubernetes.
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired
- Familiarity with cloud-native foundations or AI coding assistants.
Languages
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
- Remote .
If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/
Requirements- 5+ years of professional experience in DevOps.
- Strong hands-on experience with AWS cloud services.
- Experience designing and managing CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI/CD, AWS Code Pipeline, or similar.
- Experience with Docker and Kubernetes.
Sequoia Connect Austin, Texas, USA Office
Austin, TX, United States
Sequoia Connect Austin, Texas, USA Office
2021 Guadalupe St, Suite 260, , Austin, Texas ,, United States, 78705
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

