Act as technical reference and catalyst for automation excellence, driving the test automation strategy, tools, and processes, while remaining hands-on.
Responsibilities
Define and implement the QA automation strategy to align with product and Clients-oriented use cases
Assess, design and enhance the automation framework to ensure scalability, maintainability and efficiency
Promote best practices in testing, automation and quality assurance
Lead by example through hands-on test script design, tools, deployments pipelines and code reviews
Collaborate closely with DevOps, IVV, Software and Hardware teams to integrate quality concepts and tools, within CI environments
Requirements
Degree/diploma in computer science (Bachelor, or other degree combined with relevant experience)
Project Manager overseeing AI enablement initiatives using Jira and Confluence.
Compensation
Pay rate range - $59/hr. to $61/hr.
Responsibilities
Build and administer Jira projects, boards, workflows, custom fields, and dashboards that support AI enablement initiatives.
Own the intake process for AI tool requests and enablement work, triaging incoming tickets and routing them to the right owners.
Track project milestones, dependencies, and risks, escalating blockers before they affect delivery timelines.
Run recurring project ceremonies such as sprint planning, backlog grooming, and status reviews, and capture clear action items from each.
Write and maintain documentation in Confluence or an equivalent platform, including runbooks, how-to guides, FAQs, and onboarding material for AI tools.
Requirements
Bachelor's degree in a related field, or equivalent practical experience.
A versatile builder who thrives at the intersection of full-stack development, cloud automation, and large-scale data, helping build and deploy resilient, high-impact systems.
Compensation
$130,000 - $260,000 / year
Responsibilities
Craft responsive frontend interfaces in React or Angular
Engineer robust backend services using Java, Python, Spring Boot, or Django
Leverage AWS, Kubernetes, and Infrastructure-as-Code tools like Terraform and CloudFormation to streamline CI/CD pipelines
Requirements
Master's degree in engineering, computer science, mathematics, or comparable area of study
Nice to have: Optimizing tools and services to leverage large scale data technologies such as Elasticsearch, Presto/Trino, or Apache Spark
Nice to have: Developing ETL automation tools and services
Nice to have: Using prototype development for novel tools and services
Nice to have: Integrating Sponsor security requirements into Sponsor tools and systems
Design and deliver product, identify and analyze business requirements focusing on strategic solutions for Alpha clients, covering Front, middle and back office for Transaction lifecycle management.
Compensation
Salary Range: $80,000 - $140,000 Annual
Responsibilities
Perform gap assessment, requirements gathering and solution design for clients migrating from legacy platforms to the Alpha standard offerings
Act as liaison between business and technology teams to support product analysis and facilitate design discussions as part of the Transaction Management product strategy and development
Drive analysis, design and delivery of transactional data and processing platform using Agile practices and processes
Create detailed and accurate documentation of business requirements, process flows, and project deliverables including project charter deck, architecture diagrams, project tracker, RAID log, business requirements features
Gathering of business/system requirements by facilitating user/client meetings, interviewing users, and researching and resolving issues
Requirements
BA/BS degree in a business including Finance, Economics, Engineering or Computer Science
Nice to have: Large-scale, enterprise business and technology transformation programs experience
Lead engineering teams responsible for enterprise AI, intelligent automation, digital capture, and document intelligence platforms, providing end-to-end technical design and execution leadership for complex, business-critical technology initiatives.
Responsibilities
Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution
Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews
Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
Requirements
Bachelor’s degree or equivalent work experience
Nice to have: Experience leading enterprise AI, Intelligent Automation, Intelligent Document Processing (IDP), or advanced workflow platforms
Nice to have: Strong understanding of Generative AI, Agentic AI, Machine Learning, RAG, Semantic Search, and AI governance frameworks
Nice to have: Experience with enterprise workflow orchestration, business process automation, API-driven platforms, and cloud-native architecture
Builds and delivers generative AI and agentic AI applications end to end, from prototype through production, and develops AI solutions on AWS using CI/CD practices.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Builds and delivers generative AI and agentic AI applications end to end, from prototype through production
Develops agentic workflows, including tool-using agents and multi-agent collaboration
Contributes to autonomous AI capabilities with appropriate guardrails, security controls, and responsible AI practices
Implements orchestration and Retrieval-Augmented Generation (RAG) pipelines and integrates AI solutions with internal systems
Builds and executes model and agent evaluations to measure and maintain solution quality
Responsible for testing and delivering complex software to accomplish business outcomes, establishing testing scope, coordinating test execution, overseeing testing practices, building and executing manual and automated test suites, recording and communicating test results, triaging defects, and ensuring regression test suites are maintained and well designed.
Compensation
$72,900.00 - $108,459.00 annualized salary, offers to be determined based on experience, education and skill set.
Responsibilities
Develop detailed, comprehensive and well-structured test cases based on functional, non-functional, and compliance requirements
Lead test planning, usually at a team level, ensuring stories are well refined and contain clear acceptance criteria
Lead test case reviews and work with subject matter experts and stakeholders to ensure test coverage
Identify automation opportunities and develop test automation for applicable test types
Execute test cases, including manual and automated tests, and record test results
Lead large, complex data and analytics programs from strategy through implementation and production readiness, coordinating delivery across engineering, architecture, infrastructure, cybersecurity, operations, product, and business teams.
Responsibilities
Lead large, complex data and analytics programs from strategy through implementation and production readiness
Coordinate execution across engineering, architecture, infrastructure, security, operations, product, and business teams
Lead modernization initiatives involving data lakes/lakehouses, distributed data platforms, cloud and on-premise infrastructure, data warehouses, analytics, and AI/ML platforms
Manage large-scale platform and workload migrations while minimizing operational and business disruption
Responsible for testing and delivering complex software to accomplish business outcomes, establishing testing scope, coordinating test execution, and ensuring compliance and quality.
Compensation
$72,900.00 - $108,459.00 annualized salary, offers to be determined based on experience, education and skill set.
Responsibilities
Develop detailed, comprehensive and well‑structured test cases based on functional, non‑functional, and compliance requirements
Lead test planning at a team level, ensuring stories are well refined and contain clear acceptance criteria
Lead test case reviews and work with subject matter experts and stakeholders to ensure test coverage
Identify automation opportunities and develop test automation for applicable test types
Execute test cases, including manual and automated tests, and record test results
Nice to have: Knowledge of modern engineering practices including Agile, DevSecOps, Site Reliability Engineering (SRE), CI/CD, platform engineering, and infrastructure automation
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