API Engineer

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

This role provides the opportunity to design, develop, and maintain robust APIs and integration solutions that power modern data and cloud platforms. You will work across cloud environments, data services, and AI-driven applications to deliver high-performance, scalable, and secure systems. The position requires hands-on experience with full-stack development, API management, and cloud platforms such as AWS, Azure, or GCP, with exposure to advanced technologies like AI, machine learning, and Kubernetes. You will collaborate with engineers, architects, and product teams to ensure seamless integration, drive automation, and improve operational efficiency. This is a highly impactful role where your work enables clients to leverage data and AI effectively while supporting enterprise-wide technology initiatives.

• Accountabilities
• Design, implement, and maintain scalable and secure APIs across cloud and on-premises environments.
• Integrate APIs with data platforms, AI/ML services, and enterprise applications.
• Develop full-stack solutions, including backend services, workflows, and automation using RPA or serverless architectures.
• Collaborate with cross-functional teams to define API contracts, standards, and best practices.
• Monitor, troubleshoot, and optimize API performance, availability, and security.
• Contribute to CI/CD pipelines, automated testing, and deployment processes for reliable releases.
• Stay current with emerging technologies, including conversational AI, Gen AI, computer vision, and cloud-native platforms.
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• Requirements
• 5+ years of experience in software development, with strong focus on API design and integration.
• Hands-on experience with cloud platforms such as AWS, Azure, GCP, or Alibaba Cloud.
• Familiarity with full-stack development, including back-end services, RESTful APIs, and front-end integration.
• Knowledge of AI/ML platforms, including Databricks, NVIDIA frameworks, or conversational AI solutions.
• Experience with containerization (Kubernetes), serverless architectures, and orchestration tools.
• Strong programming skills in languages such as Python, Java, or C#.
• Experience with DevOps practices, CI/CD pipelines, and automated testing frameworks.
• Excellent problem-solving, collaboration, and communication skills.
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• Benefits
• Competitive salary and performance-based bonuses.
• Flexible and digitally connected work environment.
• Unlimited paid time off.
• Health, dental, vision, and life insurance plans.
• Retirement savings and long-term incentive programs.
• Career development and training opportunities in cutting-edge technologies.
• Meaningful work with exposure to AI, cloud, and data transformation projects.

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.

The 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 that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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