Design, develop, test and maintain scalable full‑stack applications across frontend, backend and API layers, collaborating with product, architecture, infrastructure, security and delivery teams to build reliable customer and colleague‑facing solutions.
Responsibilities
Design, develop, test and maintain scalable full‑stack applications, including frontend, backend services, RESTful APIs, microservices and cloud‑based solutions.
Integrate applications with internal platforms, databases and third‑party services, including secure authentication, authorization, session management and API integration.
Develop reusable, maintainable software aligned with design patterns, engineering standards and automated unit, integration and API testing practices.
Support application performance, resilience, monitoring and operational stability by troubleshooting production issues, performing root‑cause analysis and contributing to incident resolution.
Collaborate with DevOps teams on CI/CD pipelines, automated deployments and environment management.
As a Technology Service Delivery Manager and Backend Engineer, you will design and develop server-side services, APIs, and data integrations for financial services clients, providing architecture, governance, and technical leadership.
Responsibilities
Own end-to-end application architecture and technology roadmaps across complex, enterprise-scale initiatives
Establish secure engineering patterns, reusable frameworks, and delivery governance
Lead cross-team decisions, modernization efforts, dependencies, and technical risk
Influence senior client and internal stakeholders, communicating technical direction and trade-offs
Mentor and develop technical leaders and engineers, providing coaching, feedback, and career guidance
Lead business and technology transformation initiatives from strategy through execution and value realization, partnering with executive stakeholders to define priorities, shape solution architecture across cloud, data, AI, digital, and platform engineering domains, and build trusted relationships with senior client executives.
Supports the delivery of solution or infrastructure development services for AI/ML initiatives, applying strong technical capability and hands‑on engineering experience.
Lead DevOps and Cloud Engineering initiatives, designing and maintaining scalable infrastructure-as-code solutions using Terraform and Kubernetes, and supporting automated deployments in AWS environments.
Locations (2)
Plano, Texas, United States
Nashville, Tennessee, United States
Compensation
For candidates in both Plano, TX and Nashville, TN, the starting pay range is $104,240-$130,300.
Responsibilities
Design and maintain infrastructure-as-code solutions using Terraform
Support CI/CD and deployment automation
Troubleshoot platform and infrastructure issues
Collaborate with data engineering and application teams to deliver secure, reliable, and scalable solutions
The salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $166,900 to $278,100 Bay Area California offices – $173,800 to $289,700 All other offices locations in the US, including Sacramento – $139,100 to $254,900
Responsibilities
Partner with client stakeholders to understand business objectives
Lead discovery, requirements definition, solution design, and implementation activities
Design and deliver solutions across AI, cloud, data, digital, and platform engineering domains
Translate business requirements into scalable architectures, delivery plans, and engineering workstreams
Own solution delivery end-to-end
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $181,800 to $377,400
Bay Area California offices – $189,400 to $393,200
All other offices locations in the US, including Sacramento – $151,500 to $346,000
Responsibilities
Lead business and technology transformation initiatives from strategy through execution and value realization
Partner with executive stakeholders to define business priorities, transformation roadmaps, and investment strategies
Shape and oversee solution architecture across cloud, data, AI, digital, and platform engineering domains
Align business objectives, operating models, and technology solutions to drive measurable outcomes
Lead cross-functional teams spanning product, engineering, architecture, and business stakeholders
Requirements
Bachelor’s degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience
The salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $134,700 to $202,200 Bay Area California offices – $140,400 to $210,700 All other offices locations in the US, including Sacramento – $112,300 to $185,400
Responsibilities
Design, develop, test, deploy, and support production‑grade AI/ML, generative AI, and intelligent automation solutions
Solve complex technical problems through coding, debugging, testing, troubleshooting, and structured design remediation
Translate business and user requirements into technical designs, APIs, workflows, and supportable implementation patterns
Build and integrate LLM, RAG, and agentic solution components into enterprise applications and platforms
Contribute to system design across service boundaries, orchestration layers, data flows, security controls, and external integrations
Requirements
Bachelor’s degree in Computer Science, Engineering, or related technical field
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