Senior AI & Full Stack Software Engineer joining the Cloud & AI Accelerator team to focus on high-impact strategic initiatives, AI agents, and cloud technologies.
Responsibilities
Help explore how AI can improve user experiences, workflows, and engineering productivity
Build AI agents for and in collaboration with different business domains
Design, develop, test, and maintain AI agents & modern cloud-based applications across the full stack
Collaborate closely with other engineers, product stakeholders, UX designers, and architects to shape solutions that solve real user problems
Contribute to frontend and backend development using technologies such as .NET, TypeScript, and Angular
Seeking a Software Developer to support a government client by modernizing and implementing industry standards while ensuring secure, reliable, and uninterrupted availability of IT systems.
Compensation
Starting Salary Range for Software Engineer - Senior: $170,000 – $205,000
Responsibilities
Maintain and modernize legacy applications
Write/Develop custom scripts to install and configure code in EC2 instances
Leverage Amazon Web Services
Design and utilize custom ETL methodology
Develop RESTful API (spring boot)
Requirements
Bachelor's degree
Nice to have: Identity and Accessibility development
The role involves designing, implementing, and expanding data pipelines, translating technical specifications into working applications, and troubleshooting technical issues throughout the Software Development Life Cycle.
Responsibilities
Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities.
Translate technical systems specifications into working, tested applications.
Own product surfaces end-to-end for GTM Apps, shipping full-stack features and ensuring reliability and UX
Locations (2)
San Francisco, California, United States
New York, New York, United States
Compensation
Annual Salary: $240,000 - $325,000 USD
Responsibilities
Design, build, and ship full-stack features for GTM Apps
Enable sales team to exceed goals with world-class software
Partner with RevOps, Data Engineering, and field teams to turn processes into durable software
Improve reliability, performance, and user experience for critical software
Build and maintain shared infrastructure for GTM builders
Requirements
Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
The Technical Engineering Manager will guide, drive, and lead technical excellence within the teams to enable market-leading software engineering standards for the development and delivery of innovative products enabling iconic global recall to Equiniti.
Compensation
$155,000 - $165,000
Responsibilities
Line Management responsibility for Engineers within the Engineering home. Provide encouragement, guidance, coaching and mentoring to members of the team
Lead the adoption of the over-arching Software Development Lifecycle and Agile TOM within the engineers aligned to your Home
Develop and maintain software development processes, standards, and best practices to ensure consistent delivery of high-quality software products
Identify and implement the engineering model best suited for Equiniti based on current business context and available resources
Lead and promote engineering excellence and quality through appropriate use of analysis tools, control gates and peer reviews by inculcating new ways of thinking to improve design, productivity, and quality
Requirements
Degree in technical education, engineering, computer science, etc.
Preferred, post-graduation in advanced computer science subjects and MBA in Systems
Lead the development, maintenance, and enhancement of digital products, leveraging data science and data visualization to drive digital transformation in the electronics and connectivity landscape.
Responsibilities
Lead the development and maintenance of digital products, ensuring they meet the needs of scientists, engineers, and other stakeholders.
Provide application and deployment support for customized applications using data science algorithms.
Develop and implement strategies for data visualization and reporting using PowerBI.
Collaborate with various departments, including researcher, marketing, IT, and field services, to ensure seamless integration and functionality of digital products.
Engage with the internal data science community and collaborate with external consultants.
A hands-on engineering role focused on AI adoption within a financial institution, involving development of AI-powered applications, integrations, and end-to-end solution deployment.
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