Transaction Network Services

HQ
Reston
Total Offices: 2
1,433 Total Employees
Year Founded: 1990

Transaction Network Services Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers employee discounts

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Offers an Employee Assistance Program (EAP)

Company Culture

Offers a remote work program

Career Growth + Development

Provides tuition assistance

10 Hours AgoSaved
In-Office or Remote
20 Locations
Big Data • Information Technology • Other
Lead and mentor a software development team building financial markets products. Establish technical vision and architecture, contribute hands-on code in Java, Spring, JavaScript, Vue.js, and SQL, and oversee quality through QA, code reviews, and testing. Improve development processes, CI/CD, deployment, and tooling while collaborating with Product Management, support, customers, and internal stakeholders. Manage hiring, performance, career development, project delivery, and technical issue resolution.
9 Days AgoSaved
In-Office or Remote
55 Locations
Big Data • Information Technology • Other
Supports global Financial Markets network infrastructure and services in a 24/7 Network Operations Center environment. Responsibilities include monitoring systems, triaging incidents, troubleshooting TCP/IP, VPN, MPLS, routing, hardware, protocol, and multicast market-data issues, configuring Cisco, Arista, and Juniper equipment, managing vendor escalations, coordinating network changes, maintaining incident tickets, and supporting customer-facing technical operations.
9 Days AgoSaved
In-Office or Remote
25 Locations
Big Data • Information Technology • Other
Build and operate a secure, production-grade enterprise AI platform using AWS Bedrock, Claude, RAG, agents, orchestration, governed data connectivity, monitoring, security, and cost controls. Partner with business teams to identify, prototype, deploy, and measure AI use cases. Establish reusable patterns, enable AI champions, manage model evaluations and releases, and ensure reliable, compliant, permission-aware access to enterprise data.