Oowlish
Senior DevOps / Platform Engineer (AWS | Terraform | Full Stack Exposure)
Be an Early Applicant
The Senior DevOps / Platform Engineer will design and manage infrastructure on AWS, implement containerized systems, and contribute to backend services while improving system reliability and deployment processes.
Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
About the Role:
We are looking for a Senior DevOps / Platform Engineer to join a high-impact engineering team building and scaling a mission-critical platform used by nonprofits, government agencies, and correctional systems nationwide.
This role goes beyond traditional DevOps. We are looking for an engineer who not only understands infrastructure and cloud environments, but is also comfortable working with application code when needed.
You will play a key role in designing, building, and scaling reliable systems in a real production environment, working across infrastructure, backend services, and platform-level decisions.
This is a hands-on role for someone who enjoys ownership, operates with autonomy, and can balance infrastructure excellence with practical engineering execution.
Key Responsibilities:
- Design and manage infrastructure using Terraform (Infrastructure as Code)
- Build and scale cloud environments on AWS
- Implement and manage containerized systems using Docker and Kubernetes
- Contribute to backend services and APIs using NestJS and TypeScript
- Support frontend integrations when needed (React-based applications)
- Improve system reliability, scalability, and deployment processes
- Collaborate with engineering teams to ensure smooth delivery and system performance
Must Have:
- 5+ years of experience in DevOps, Platform Engineering, or similar roles
- Strong experience with AWS and cloud architecture
- Hands-on experience with Terraform (Infrastructure as Code)
- Experience with Docker and Kubernetes in production environments
- Strong experience with TypeScript and backend development (NestJS or similar frameworks)
- Experience working with React-based applications (at least at an integration level)
- Ability to work across infrastructure and application layers
Nice to have:
- Experience with React Native
- Experience with Python
- Experience with Google Cloud Platform (GCP)
- Exposure to AI / LLM-based solutions
Benefits & Perks:
Home office;
Competitive compensation based on experience;
Career plans to allow for extensive growth in the company;
International Projects;
Oowlish English Program (Technical and Conversational);
Oowlish Fitness with Total Pass;
Games and Competitions;
You can also apply here:
Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
Top Skills
AWS
Docker
Kubernetes
Nestjs
React
Terraform
Typescript
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.
Top Skills:
AWSAzureCircleCICypressDockerGCPGithub ActionsGitlabJavaJavaScriptJestJunitKubernetesPlaywrightPythonRubyTypescript
Marketing Tech • Real Estate • Software • PropTech • SEO
As a Sr. Data Engineer, you'll build and scale high-throughput streaming pipelines, model real estate datasets, and improve data quality using AI-driven tools in a fast-paced environment.
Top Skills:
AirflowAWSIcebergKafkaKubernetesNode.jsPydanticPysparkPythonSpark StreamingSqsTypescript
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The Demand Generation Manager will develop strategies to generate leads, manage multi-channel campaigns, and optimize marketing performance using data analytics. This role collaborates with sales and various marketing teams to meet revenue goals.
Top Skills:
6SenseLinkedin Sales NavigatorMarketoOutreachSalesforceTableauZoominfo
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
