Top Hybrid Senior Level Software Engineer Jobs in New York City, NY

As a Staff Software Engineer, you will contribute to the design and architecture of large-scale distributed systems for the Orders Ecosystem Platform, mentor engineers, ensure high standards for software delivery, and drive innovations to improve system performance and reliability.

The Senior Software Engineer will develop and maintain automated testing frameworks, improve product quality, and increase engineering efficiency. Responsibilities include designing testing tools, collaborating with cross-functional teams, conducting code reviews, and leading projects with a focus on quality assurance and customer satisfaction.

The Staff Software Engineer will work on enhancing database performance visibility through PostgreSQL extensions, contribute to core Postgres changes, develop automated workload recommendations, and build observability tools while leading technical initiatives and projects.

As a Senior Software Engineer in Trust & Safety, you'll enhance user security and maintain platform integrity by driving technical collaboration, mentoring a team, developing user-friendly security features, and implementing risk scoring algorithms. You'll also engage with security operations and incident responses, working in a high-growth collaborative environment.

The Staff Software Engineer will lead the design and development of complex software systems, mentor junior engineers, and ensure high-quality coding standards. This role involves collaboration with cross-functional teams and tackling complex technical challenges while working in an Agile environment.

As a Staff Software Engineer at Apex Fintech Solutions, you will lead the design and development of complex software systems, provide technical guidance and mentorship, ensure code quality, collaborate with cross-functional teams, and drive innovations in financial products. You will work in a hybrid environment and participate in Agile practices.

The Senior Software Engineer will develop and deploy high-performance trading APIs and enhance options trading systems. Responsibilities include overseeing system design, maintaining production environments, and collaborating on coding standards. Candidates must have experience in equity options instruments, financial services, and modern programming languages, while also being adaptable and eager to learn new technologies.

As a Principal Software Engineer, you will design and implement an AI claims management platform, focusing on data ingestion, API development, and user applications. You will also provide technical leadership, mentor junior engineers, and collaborate with executives on strategic technical initiatives.

As a Senior Director of Architecture, you will lead architecture and process implementations across departments, manage cross-functional teams, drive consensus among stakeholders, and support strategic initiatives in AI/ML technology.

As an Executive Director - Data Publishing at JPMorgan Chase, you will define and implement standards for data sharing, advocate for data publishing every level of the organization, and mentor your team. Your role requires collaboration with various departments to understand data management needs while guiding the adoption of new data standards and processes.

As a Senior Sales Engineer at Narmi, you will engage with financial institutions to assess needs and demonstrate the Narmi One platform. You will prepare and present tailored demos, draft technical responses, and work collaboratively across teams to develop solutions for revenue growth. You must effectively communicate complex concepts and manage multiple projects autonomously.

As a Senior Platform Infrastructure Engineer specializing in MongoDB, you will manage and evolve the infrastructure for MongoDB on Kubernetes, ensuring reliability and performance. Responsibilities include designing architectures, implementing high-availability strategies, responding to incidents, and automating database operations. You will collaborate with other engineering teams to optimize MongoDB performance and share knowledge across the organization.