Design, develop, test, and maintain enterprise software solutions on AWS, collaborating with senior staff and contributing to IT architecture and cloud-based systems.
Compensation
Target Pay Range: $109,000.00 - 142,000.00 a year
Responsibilities
Gather and document information about the needs of the customer and create preliminary solution frameworks.
Under the guidance of management, design and develop software solutions to meet needs.
Apply fundamental knowledge of process-driven approach in designing solutions.
Collaborate with senior staff to implement new software technology.
Maintain existing software using standard methods, practices, and precedents.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent professional experience.
Act as a strategic consultant related to business analysis and managing working capital. Analyze intricate issues and propose practical solutions. Enhance business performance through digitization, automation, and increased effectiveness. Navigate complex scenarios to deliver favorable results. Support initiatives to enhance technology-driven tax advisory services. Manage resource requirements, project workflow, budgets, billing, and collections. Supervise and coach teams.
Compensation
The salary range for this position is: $181,000 - $210,000. All hired individuals are eligible for an annual discretionary bonus.
Responsibilities
Act as a strategic consultant related to business analysis and managing working capital
Analyze intricate issues and propose practical solutions
Enhance business performance through digitization, automation, and increased effectiveness
Navigate complex scenarios to deliver favorable results
Support initiatives to enhance technology-driven tax advisory services
Requirements
Bachelor's degree in Business Analytics, Analytics, Computer Engineering, Accounting, or a related field
Master's degree in Business Analytics, Analytics, Computer Engineering, Accounting, or a related field
A Senior Information Security Engineer designs, implements, and maintains moderately complex security solutions that protect company systems, applications, networks, and data.
AI Quality Engineer to modernize and accelerate software quality engineering through AI-assisted testing and intelligent automation.
Compensation
Salary Range: $80,000 - $140,000 Annual
Responsibilities
Use GitHub Copilot to accelerate the development of automated test cases, utilities, test data solutions, API tests, and QA frameworks.
Apply Generative AI to requirements analysis, test scenario identification, test case generation, automation generation, and defect analysis.
Develop reusable prompts, instructions, skills, and engineering patterns that improve the consistency and accuracy of AI-generated QA assets.
Evaluate AI-generated tests for accuracy, stability, coverage, maintainability, and security.
Contribute to the development and enhancement of AI QA agents for requirements analysis, test design, automation generation, traceability, and defect triage.
As a senior technical leader within the WC&C Technology team, you will architect, design, and lead the development of high-scale, low-latency distributed systems in a cloud native environment.
Compensation
$125,000 - $215,000 Annual
Responsibilities
Architect and lead the development of high scale, low latency backend systems supporting custody, clearing, and wealth platforms
Define and enforce engineering standards, architectural patterns, and system design principles across backend teams
Drive the long-term technical vision and architecture for distributed systems and data platforms
Partner with product, data, and business leaders to translate complex requirements into scalable technical solutions
Mentor senior engineers and serve as a technical multiplier, raising the overall engineering bar across the organization
Requirements
Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related field
Lead a software engineering team to modernize a large-scale investment accounting platform, driving architecture, cloud adoption, and AI-assisted development.
Compensation
Salary Range: $120,000 - $202,500 Annual
Responsibilities
Lead a software engineering team responsible for enhancing and supporting a business-critical portfolio accounting and middle-office application
Drive the planning and execution of application modernization initiatives
Partner with business stakeholders, product owners, architecture, infrastructure, and risk teams
Translate business and regulatory requirements into scalable, maintainable, and operationally resilient software solutions
Oversee solution design, software development, production readiness, and operational stability
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
Support the design, development, testing, and maintenance of applications within the Field Rewards technology portfolio, building modern web applications, APIs, and cloud-based solutions.
Compensation
Pay Range - Start:
$98,320.00
Pay Range - End:
$147,480.00
Responsibilities
Develop, test, and maintain web applications, APIs, and backend services
Build and enhance application features under the guidance of senior engineers and technical leads
Participate in the design and implementation of reusable components and services
Write clean, maintainable, and well-documented code
Support integration of applications with enterprise systems and third-party services
Develop a product that impacts the way communities’ hospitals, homes, sports stadiums, and schools across the world are built, focusing on data customization and workflow flexibility across the Procore ecosystem.
Compensation
Base Pay Range:
140,960.00 - 193,820.00 USD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
Responsibilities
Help establish standards for development teams and collaborate on initiatives with infrastructure, platform, and other software engineering teams
Assist fellow teammates by conducting code reviews and pairing
Help shape the future of intelligent operations by leveraging AIOps, GenAI, automation, and self-healing technologies across enterprise platforms.
Compensation
Salary Range: CAD $ 87,780.00-$122,892.00 /year *This represents the expected hiring range and may not represent the full pay range for the position. The salary offered may be higher than the posted range depending on several factors such as relevant skills, qualifications, and experience.
Responsibilities
Implement SRE best practices across production support, incident management, problem management, change management, release, and deployment processes.
Build and maintain automation scripts, runbooks, self-healing workflows, and operational tools to reduce manual effort and improve MTTR.
Support AI-driven operational capabilities such as incident summarization, alert enrichment, anomaly detection, log analysis, event correlation, and root cause recommendations.
Configure and enhance observability across logs, metrics, traces, dashboards, alerts, and synthetic monitoring.
Work with monitoring/APM tools such as Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor, or similar tools.
Requirements
Nice to have: Agentic AI
Nice to have: AI agents
Nice to have: Gen AI-based automation for IT operations
AWS Cloud Engineer responsible for engineering, operating, and evolving Santander’s AWS data lake platform, including infrastructure, shared services, and data engineering applications.
Compensation
Salary Range: £60,800.00 - £91,200.00 per annum (depending on experience)
Responsibilities
Support the engineering, operation, reliability and continuous improvement of Santander's AWS data lake.
Build, configure and support AWS platform capabilities using services such as S3, IAM, VPC, KMS, CloudWatch, CloudTrail, Glue, Athena, EMR, Lambda and Step Functions.
Develop and maintain Infrastructure as Code for AWS environments and reusable platform components.
Contribute to CI/CD pipelines and deployment automation that support safe, repeatable and controlled platform changes.
Apply approved cloud security controls, including least‑privilege access, encryption, network isolation, secrets management and policy enforcement.
Requirements
Degree in software engineering, computer science or related field
Nice to have: Agentic AI and AI‑Assisted Engineering
Maintain and modernize internally developed Ruby/RubyGems code, Perl and Bash scripts for automation of Directory service configuration and deployment
Develop engineering solutions in Python and implement via enterprise pipelines
Manage multiple CI/CD pipelines that support our infrastructure configuration, deployment automation, maintenance scripts and custom code
Demonstrate expertise in code and scripts release management with tools including Orchestra, GitHub Pilot, Harness, UCD, Artifactory and Ansible to facilitate rapid deployment and testing of infrastructure and configuration changes
Collaborate with LDAP engineers to help design and develop deployment automation capabilities for manual operational process and new business requirements