DevOps Engineer (Remote - US) - job 1 of 13

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps Engineer in the United States.

As a DevOps Engineer, you will play a critical role in designing, building, and scaling cloud-native infrastructure and backend systems for a high-growth technology platform. You will collaborate closely with backend, frontend, and product teams to ensure reliability, scalability, and operational excellence. This role offers the opportunity to work with cutting-edge technologies including AWS, Kubernetes, GraphQL, and microservices architectures. You will be responsible for optimizing system performance, implementing CI/CD pipelines, and contributing to infrastructure architecture decisions that directly impact the user experience. This position allows you to influence core architectural strategies while supporting AI-driven initiatives and high-availability services at scale. The work environment is collaborative, remote- or hybrid-friendly, and centered on innovation and technical excellence.

Accountabilities

• Design, develop, and optimize backend services and infrastructure with focus on scalability, performance, and operational reliability.
• Architect and maintain systems to support high-availability workloads at scale.
• Collaborate with backend engineers to accelerate development and ensure cohesive integration across services.
• Implement and optimize GraphQL APIs, ensuring efficient query handling and caching strategies.
• Monitor system performance through profiling, load testing, and capacity planning, and establish observability and alerting solutions.
• Contribute to infrastructure design and implementation using AWS services and Infrastructure as Code tools.
• Participate in code reviews, architectural discussions, and cross-functional technical planning.
• Support AI infrastructure needs and design foundational systems for product development.

• 5+ years of experience in backend development and distributed systems.
• Proven experience scaling systems to support 100k+ monthly active users.
• Expertise deploying and managing Kubernetes clusters at scale.
• Hands-on experience with AWS infrastructure (ECS, Fargate, SNS+SQS, Neptune, ALB, WAF, Lambda) and IaC tools (Pulumi, Terraform, or CloudFormation).
• Strong proficiency in Typescript, Go, and/or Python.
• Experience with GraphQL implementation and optimization, including query efficiency and caching.
• Knowledge of containerization, microservices architecture, and CI/CD pipelines (GitHub Actions preferred).
• Familiarity with message queue systems, load balancing, auto-scaling, and high-availability patterns.
• Experience in incident response, production troubleshooting, and implementing monitoring/logging/alerting solutions.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications:

• Experience with caching strategies (AWS ElastiCache, Redis).
• Background in fintech, e-commerce, social platforms, or other high-transaction environments.
• Security best practices and compliance framework knowledge.
• Track record of scaling systems from early-stage to production-ready.

• Competitive compensation package.
• Remote- or hybrid-friendly work environment with Los Angeles office access.
• Medical, dental, and vision insurance.
• Flexible PTO and 11 annual paid holidays.
• 401k matching program.
• Opportunity to work in a collaborative, low-ego culture within a fast-growing startup.
• Significant impact on core architecture and platform scalability.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!

#LI-CL1