Lead development and maintenance of global HR applications, integrating data solutions and advanced analytics.
Compensation
The pay range for this position at commencement of employment is expected to be between $90,000 -$125,000 per year* (see below footnote for additional compensation and benefits information).
Responsibilities
Manage and support HR business applications, including problem resolution and issue ownership
Support data analytics and data science initiatives with optimized data structures and AI/ML tools
Manage vendor products and their integrations with internal/external applications
Gather requirements and translate functional needs into technical specifications
Perform QA and impact analysis when rolling out enhancements to HR systems
Requirements
Bachelor’s degree in computer science or engineering or equivalent
Design and develop CI/CD pipelines and applications supporting our DevOps processes using tools such as Gitlab, Octopus Deploy, and common scripting languages.
Compensation
CTDI offers an excellent compensation and benefits package
Responsibilities
Design and develop CI/CD pipelines and applications supporting our DevOps processes using tools such as Gitlab, Octopus Deploy, and common scripting languages.
Collaborate with and take direction from Technical Lead and subject matter experts in the technical assessment of new CI/CD pipeline development as well as development of applications.
Provides technical support for operational issues and identifies opportunities to enhance the systems or processes to enhance stability or performance.
Support 3rd party tools installed on company infrastructure.
Requirements
Degree in Computer Science, Software Engineering or related field or equivalent work experience
The Senior AI Engineer role is a subject matter expert in applied AI and ML systems including generative and agentic technologies at Alaska Airlines and Horizon Air.
Compensation
$117,700-$176,550 / year
Responsibilities
Build and ship AI/GenAI enabled solutions that deliver measurable business value, from rapid full-stack prototypes that validate business demand to robust production systems that automate workflows and drive operational efficiency.
Design and optimize generative AI systems, including LLM- and multi‑modal‑based agents, ensuring continuous alignment with user feedback and enterprise standards for safety, security, and accessibility.
Make recommendations to identify high-impact AI opportunities, translate business needs into technical designs, and integrate solutions seamlessly with existing enterprise systems and data sources.
Influence others to implement best practices for data residency, observability, model evaluation, and system reliability, ensuring AI systems meet enterprise compliance, performance, and cost-efficiency targets.
Foster technical excellence and knowledge sharing by mentoring engineers, documenting and communicating complex concepts clearly to diverse audiences, and contributing to a culture of continuous innovation and experimentation.
Requirements
Bachelor’s degree in Computer Science or equivalent
Master’s degree in Computer Science or related technical field
Nice to have: Generative AI (LLMs, multi modal models)
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 complex technology delivery for clients, integrating consulting, engineering, and product delivery to solve business challenges.
Locations (8)
New York, New York, United States
Atlanta, Georgia, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Grandview Heights, Ohio, United States
Show all 8 locations
Hoboken, New Jersey, United States
Philadelphia, Pennsylvania, United States
Compensation
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
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.
Locations (8)
New York, New York, United States
Atlanta, Georgia, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Grandview Heights, Ohio, United States
Show all 8 locations
Hoboken, New Jersey, United States
Philadelphia, Pennsylvania, United States
Compensation
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
