Top Engineering Jobs

Design and develop scalable, high-performance software in distributed, real-time, and event-driven architectures. Collaborate with cross-functional teams to align engineering strategies with business and client needs, maintain software engineering excellence, and communicate technical concepts and project updates to stakeholders. The role supports FinTech solutions across front-office, order management, portfolio management, and asset management domains.

Design, build, deploy, and maintain software for commodity trade capture, lifecycle management, position management, pricing, risk, and reporting. Translate client and business requirements into reliable features, lead technical design, review code, maintain containerized services and deployment pipelines, improve observability and performance, troubleshoot production incidents, mentor engineers, and document solutions. The role requires strong Python development and energy commodities technology experience, with opportunities to work across multiple languages, cloud platforms, and event-driven systems.

Develops, deploys, monitors, and maintains scalable software throughout the SDLC. Leads architectural and technical decisions, builds backend services, improves system quality and performance, and contributes to testing and documentation. Mentors engineers, supports Agile planning, resolves customer and systemic issues, and owns highly available processes. Requires expertise in Java or Python, cloud platforms, messaging systems, production monitoring, machine learning, distributed systems, and databases.

Design, build, and operate scalable market and reference data pipelines for real-time pricing and risk platforms. Develop Python ETL/ELT workflows, AWS-native streaming and batch infrastructure, securities master systems, data quality frameworks, and low-latency feeds. Make architectural decisions, optimize large-scale data models, support CI/CD and observability, collaborate with quant researchers and vendors, and mentor peers.

Leads Network Engineering and Systems Engineering teams while remaining hands-on with infrastructure architecture and operations. Owns Cisco, Arista, Palo Alto, BGP, MPLS, data center networking, Linux, Kubernetes, cloud integration, automation, observability, incident response, and reliability strategy. Partners with security, compliance, software, and data teams to operate regulated hybrid infrastructure supporting financial data connectivity. Builds teams, evaluates technologies, drives architectural decisions, and ensures carrier-grade availability and compliance.

Designs, builds, deploys, tests, and maintains reliable software systems. Responsibilities include solving complex problems, mentoring junior engineers, leading design discussions, coordinating integrations, improving performance and security, resolving production incidents, and addressing customer needs. Requires strong software architecture knowledge, analytical and communication skills, teamwork, documentation, and continuous learning. A computer science or related degree and at least four years of software development experience are required.

Develop scalable, high-performance software in distributed, cloud-based environments. Build real-time and asynchronous event-driven systems, collaborate with cross-functional teams, align engineering strategies with business needs, and maintain software engineering excellence. The role requires Java development, messaging-system experience, strong design skills, and clear stakeholder communication, with preferred experience in FinTech, investment management technology, Groovy, Bash, Python, and AI technologies.

Provides technical leadership for architecting and delivering large-scale distributed systems supporting financial reporting and analytics. Responsibilities include defining architecture standards, designing highly available and fault-tolerant systems, leading multi-team delivery, improving observability and deployment automation, ensuring security and performance, mentoring engineers, and driving cloud, data-processing, and agentic conversational architecture innovation.

Design, implement, test, deploy, and monitor scalable backend services and high-availability processes. Lead architectural decisions, mentor junior engineers, drive feature lifecycles, improve code quality and testability, and respond to customer issues. Contribute to Agile planning and documentation across domains while addressing performance, scaling, and systemic problems.

Own full-stack software projects from scoping through delivery, building and maintaining tested Python and React applications using the Glint SDK. Use AI agents responsibly, implement unit, integration, and end-to-end testing, review code, mentor colleagues, lead technical discussions, resolve production incidents, and collaborate across teams to deliver reliable, scalable, secure solutions for clients.