Software Engineering • Senior

Who you are

You have 5+ years of software engineering experience, particularly in building scalable systems and infrastructure for machine learning applications. You thrive in environments where engineering excellence is paramount, and you enjoy tackling complex problems that require innovative solutions. Your background includes working with AWS-native technologies, and you have a strong understanding of low-latency microservices and automated deployment pipelines. You are detail-oriented and take pride in delivering reliable and efficient systems that support data science teams.

You have experience with model training, validation, and deployment, and you understand the intricacies of serving machine learning models at scale. Your familiarity with CI/CD practices allows you to implement safe deployment strategies, ensuring that updates to production systems are seamless and without disruption. You are comfortable collaborating with cross-functional teams, including data scientists and product managers, to create tools that abstract complexity and enhance productivity.

Desirable

Experience with blue/green deployments and rollback strategies is a plus, as is familiarity with various machine learning frameworks. You are eager to learn and adapt to new technologies, and you are motivated by the impact your work has on the digital economy. You value a culture of ownership and accountability, and you are excited about the opportunity to contribute to a mission-driven organization.

What you'll do

As a Senior Software Engineer on the AI Platform team, you will design and build the infrastructure that supports the deployment and serving of machine learning models. You will work closely with data scientists to understand their needs and create scalable systems that facilitate model training and validation. Your role will involve implementing low-latency, fault-tolerant model inference systems using Amazon SageMaker, ensuring that the solutions you build are robust and efficient.

You will be responsible for creating and managing CI/CD pipelines that automate the deployment process, allowing for rapid iteration and improvement of machine learning models. Your expertise in microservices architecture will enable you to design systems that are modular and easy to maintain, while also ensuring that they can handle high volumes of requests with minimal latency.

Collaboration is key in this role, as you will partner with cross-functional teams to define requirements and deliver solutions that meet business needs. You will also have the opportunity to mentor junior engineers, sharing your knowledge and best practices to help them grow in their careers. Your contributions will directly impact the success of Socure's mission to build identity trust infrastructure for the digital economy.

What we offer

Socure provides a dynamic work environment where you can make a significant impact on the future of identity verification. You will have the opportunity to work with cutting-edge technologies and be part of a team that values innovation and excellence. We offer competitive compensation and benefits, along with opportunities for professional development and growth. Join us in our mission to stop fraud and verify identities in real-time, making a difference for businesses and individuals alike.