Remote Software engineering Jobs • AWS

We are seeking a highly skilled Senior Application Developer, with expertise in AI model integration, cloud computing, AWS services and architecture design. The ideal candidate will have hands-on experience with LLMs like OpenAI, Anthropic, and/or Gemini, and knowledge of AI platforms such as Amazon Bedrock and Google Vertex AI. This role is perfect for someone passionate about leveraging AI to build transformative applications.

Build and maintain Speechify's Creator Studio, integrating AI models to provide state of the art voiceovers, dubbing, voice cloning and more. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. Work ethic, solid communication skills, and obsession with winning are paramount.

We’re looking for a senior-level Software Engineer to join DISQO’s metering team. You will work developing and maintaining the data collection tools on Android platform as a part of a larger metering team. The team consists of experts of multiple fields (Android, Browser extensions, Data ingestion & analytics) all working together to power DISQO’s Surf to Earn -platform.

Lead the design and implementation of secure, reliable infrastructure platforms—across compute, networking, identity, and policy enforcement. You’ll own and evolve the security posture of our Kubernetes platform, focusing on isolation, observability, and resilience. You’ll build and operate systems for managing secrets, service-to-service auth, and access control. Define and codify best practices in infrastructure security, infrastructure-as-code, and software integrity.

At ONYX Insight, they’re looking for a Mid-Level Software Developer to join their growing team and help shape the future of their tech stack and renewable energy platforms. Working with modern C# .NET and React, you'll contribute to building robust, high-performance systems that support their core products. At ONYX Insight, they foster a collaborative environment where developers can innovate, solve real-world problems, and make meaningful contributions.

Clariti is seeking an experienced Engineering Manager to lead and grow our core Launch Platform engineering team focused on building robust backend systems that power government technology solutions. This is a player-coach role where you will not only lead, mentor, and manage a talented team of engineers (including junior, intermediate, and senior developers) but also contribute technically through hands-on coding, design reviews, and architectural input. You'll spend a portion of your time developing software solutions alongside your team, staying current with technical challenges while building highly-modular, core systems of record from the ground up, introducing automation into complex government workflows and developing new models for interaction between governments and citizens.

Work and learn with the best computer scientists, academics, and investment professionals. Design, develop, and maintain high-quality Java/Kotlin code with a focus on scalability and reliability. Identify opportunities for automation within the development and deployment processes. Conduct thorough analysis and debugging of complex software issues to ensure system stability.

As an integral part of the program, the Senior Machine Learning Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, and leads teams to support the adoption of new technologies across the enterprise. The Senior Machine Learning Engineer will also provide technical leadership by supervising and mentoring junior IT specialists.

This position is needed to manage the team of machine learning engineers of the Growth & User Intelligence team and closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers' needs, build ML and Data Science products that work at a global scale and own end-to-end execution of large scale ML solutions.

Reporting to the SVP Software Engineering, you will guide the architecture vision for D2C platforms with a mobile-first and AI-native mindset and define roadmaps across mobile and web with emphasis on scalability. You will also lead technical design across consumer products and internal platforms and be a technical partner across product, data, cybersecurity, and platform teams.