Imerit Technology Jobs in Usa

Title: Test Technician

Duration: 6 months

Location: 5525 Morehouse Drive, San Diego, CA 92121

Job Description

Principal Duties and Responsibilities:

Level of Responsibility:

* Works under close supervision.

* Responsible for own work. Decision-making is limited. Impact of decisions is readily apparent. Errors made typically only impact timeline (i.e., require additional time to correct).

* Requires verbal and written communication skills to convey basic, routine factual information about day-to-day activities to others who are fully knowledgeable in the subject area.

* Some tasks require multiple steps which must be performed in a specific order; directions or manuals can accurately document the steps necessary to perform the task.

* Some creativity may be required to troubleshoot technical problems or deal with novel circumstances.

* Limited problem solving required, generally in the nature of troubleshooting simple processes or technology.

The responsibilities of this role do not include:

* Does not provide supervision to others.

* Does not have financial accountability.

* Has no influence over key organizational decisions.

* Does not have a role in strategic planning

Top 5 Required Skills

1. Experience with Debugs and troubleshoots

2. Set-up of specialized test equipment experience

3. Problem solving and troubleshooting simple processes or technology experience

Technologies

* MTeams

Keywords

* debugging

* troubleshooting, testing

Education Requirement

* High School Diploma or equivalent.

Min Years of Experience Required

* 1+ year of semiconductor, RF testing, or related work experience

Physical Requirements

* Pushing Weight Limit = 25

* Pulling Weight Limit = 25

* Lifting Weight Limit = 25

* Forklift Required (Y/N): No

Driving Requirements

* Are there driving responsibilities no matter how minimal with this role? No

* If yes, how many hours per week? N/A

Job role: Marketplace Platform Lead

Location: Remote

Duration: 8+ months
Marketplace Platform Lead

Job Overview

The Marketplace Platform Lead is responsible for driving the end?to?end technical architecture and implementation of the enterprise Data Marketplace platform. This role spans stakeholder engagement, architectural definition, integration design, and hands-on leadership throughout implementation. The ideal candidate is a seasoned technical leader with deep experience designing integration patterns, building scalable platforms, and guiding engineering teams through complex cross-system solutions.

Key Responsibilities

Lead stakeholder meetings to gather business requirements, align on platform objectives, and clarify workflows and user journeys.

Conduct tool evaluations, build scoring frameworks, and make recommendations on platforms, vendors, and integration technologies.

Define end-to-end Marketplace architecture, including data flows, APIs, domain models, integration strategies, and platform components.

Design and lead the implementation of integration patterns, including API-based integrations, event-driven patterns, workflow orchestration, and cross-system interoperability.

Develop technical designs, architectural documents, and standards for Marketplace workflows, user flows, and extensibility patterns.

Provide hands-on architectural guidance to engineering teams throughout solution design, development, and delivery.

Oversee technical quality, scalability, performance, and security across Marketplace components and integrations.

Collaborate with product, engineering, data, and security teams to ensure compliance with enterprise data governance, privacy, and reliability standards.

Lead technical reviews, drive design decisions, and ensure alignment across cross-functional stakeholders.

Required Skills & Qualifications

8+ years of experience in software engineering, platform development, or technical architecture roles.

Strong expertise in designing and implementing integration architectures, including REST/GraphQL APIs, event-driven patterns, synchronous/asynchronous messaging, and workflow engines.

Deep understanding of distributed systems, microservices, and cloud-native solutions (Azure, AWS, or GCP).

Proficiency with API design, messaging systems, and enterprise integration frameworks.

Experience defining technical architecture, data flows, and workflow designs for complex platforms.

Ability to translate business requirements into technical designs, user flows, and actionable engineering plans.

Demonstrated leadership in guiding engineering teams through architectural decisions and implementation.

Strong communication skills with the ability to influence technical and non-technical partners.

Experience evaluating and scoring platforms, tools, or vendor solutions.

Solid knowledge of DevOps practices, CI/CD, infrastructure-as-code, observability, and security best practices.

Preferred Qualifications

Experience building or leading a Data Marketplace platform.

Familiarity with workflow orchestration platforms, rules engines, BPM tools, or catalog management systems.

Experience with enterprise identity systems (OAuth, SAML, SSO), access governance, and data privacy frameworks.

Background working with enterprise data platforms, data governance, or cross-domain integration patterns.

Prior experience leading architectural governance or serving as a platform architect in an enterprise environment.

Title: Developer IV/ AI Agentic Engineer

Duration: 11 Months (Contract to hire)

Location: Columbia, SC

Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.

Standard work hours: 8:00 AM - 5:00 PM

**Credit check will be required**

Job Summary:

Day to Day:

• 
  
• A typical day will involve a mix of hands-on coding, architectural design, and research.
  
• The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
  
• This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
  
• They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
  

Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.

Job Requirements:

**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**

Required Experience:

Required Software and Tools (Hands on experience required):

• 
  
• Python
  
• JavaScript/TypeScript
  
• AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
  
• AI Models (e.g. Claude, OpenAI, etc.)
  
• AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
  
• Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
  
• Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
  
• API Design
  

Python & AI/ML Libraries:

• 
  
• Deep hands-on experience in Python for AI/ML development.
  

• 
  
• Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
  
• Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
  
• Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
  

Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience

Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.

Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.

Nice to have/Preferred skills:

• 
  
• Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
  
• Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
  
• Experience developing autonomous agents using cloud-based AI services.
  
• Experience with prompt engineering techniques and model fine-tuning.
  
• Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
  
• Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
  

Job Title: CW Analyst

Duration: 12 months

Location: Salt Lake City, UT, 84111

Description:

Operations is a dynamic, multi-faceted division that partners with all parts of the firm to deliver banking, sales and trading and asset management capabilities to clients around the world. In addition, Operations provides essential risk management and control to preserve and enhance the firm's assets and its reputation. For every trade executed, every new product launched or market entered, every transaction completed, it is Operations that develops the processes and controls that makes business flow.

Alternative Investment is a high value Operations team that supports all trading, booking, and reconciliation of Alternatives Investment products for Private Wealth Management clients. Beyond trade support, the team covers a broad set of functions including working closely with product sponsors to develop support models for new product offerings, processing asset servicing events, and providing subject matter expertise and testing support for ongoing system enhancements and regulatory initiatives. Key business deliverables including optimizing workflows around new product offerings and digitizing all alternative documents.

HOW YOU WILL FULFILL YOUR POTENTIAL

* Partner with Technology and Business stakeholders to troubleshoot and resolve complex trading issues

* Provide trade support to Private Wealth Management Sales Teams

* Support trade booking and settlement workflows

* Perform trade reconciliations and ad-hoc reporting to mitigate risk and increase issue transparency

* Provide subject matter expertise and testing support for ongoing system enhancements and regulatory initiatives

Education

Bachelors

Title- Analyst - Reconciliations

Location- Salt Lake City, UT, 84111

Duration- 4 months



Overview

The Reconciliations Team is responsible for ensuring the accuracy and integrity of the firm's books and records. The team performs daily intercompany, external and internal reconciliations, reporting identified exceptions to responsible teams across Operations. The Reconciliations team strives to accurately and effectively compare internal books and records to external clearing agents and performs inter-company reconciliations to help facilitate business transactions between a GS company and its affiliates.

The Reconciliations team monitors reconciliations between the internal ledgers of the firm to ensure that the books and records on which our financial statements are based are accurate. The Reconciliations team assess and report operational risks through the analysis of settlement and trade activity to allow the business to better manage their risk.

Job Duties

• 
  
• Perform daily transaction and position reconciliations to ensure the books and records of the firm are correct utilizing both firm proprietary systems as well as automation tooling such as Alteryx
  
• Manage and research reconciliation discrepancies and perform follow up/investigation to assist in resolution utilizing firm technology to obtain information needed and analyze data obtained
  
• Interact with various operational areas including Global Banking and Markets Operations and Asset Wealth Management Operations to ensure timely resolution of reconciliation discrepancies is achieved
  
• Identifying risks and inefficiencies in daily processes and communication with manager to ensure appropriate level of escalation is achieved when issues are faced
  
• Initiate improvement initiatives to perform root-cause analysis, ensure completeness of the reconciliations performed and make frequent recommendations for process improvements including assessing current workflows and ensuring maximum efficiency is being obtained. Identify opportunities to utilize self-service automation tooling to execute functional improvements
  
• Perform month end responsibilities including procedure review and break investigation to ensure regulatory requirements are met
  
• Work closely with other team members to ensure that the groups' overall goals and deliverables are met through effective delegation and time management
  

Basic Qualifications

• 
  
• Bachelor's degree
  
• Proven audit and analytical skills, problem solving ability, and a control mentality paired with meticulous attention to detail
  
• Ability to manage multiple concurrent tasks with dynamic and aggressive deadline
  
• Aptitude for building relationships and ability to clearly articulate/ communicate complex issues/ cater to requests to a wide array of internal & external clients with differing levels of product experience
  

Preferred Qualities

• 
  
• Self-motivated and proactive team player, who takes ownership and accountability of the tasks assigned, has strong organizational skills as well as the ability to effectively manage competing priorities
  
• Flexible and able to work well under pressure in a team environment
  
• Experience communicating complex operational flows to varied audiences in verbal and written mediums
  

Title: SAP Consultant

Duration: 9 Months

Location: Maple Grove, MN 55311

Description:

The person will be responsible for the detailed evaluation, design, development, implementation, and maintenance of SAP environments (systems) supporting the efficient operation of functions and processes.

Overview:

• 
  
• Collaboratively work with business analysts, and/or technical leads to ensure project plans are accurate, and have detailed design and development activities
  
• Meet with customers to troubleshoot and resolve issues and/or identify support requirements
  
• Able to work independently with limited direction or oversight
  
• Complete complex, hands-on development tasks with limited direction or oversight
  
• Maintain positive and cooperative communication and collaboration at all levels with employees, business analysts, customers, contractors, and vendors
  
• Strong verbal and written communications with ability to effectively communicate, with attention to detail, at multiple levels in the organization
  
• Accept accountability for technical aspects of development
  

WHAT YOU'LL DO

• 
  
• Write detailed design and developer specifications based on business requirements in conjunction with defined software development guidelines
  
• Develop and implement custom applications as assigned
  
• Implement and/or customize third-party off-the-shelf applications
  
• Complete complex, hands-on development tasks with limited direction
  
• Work as a key project resource on a project team or independently to complete assigned tasks
  
• On occasion, perform other related duties and responsibilities, as assigned
  
• Comply with U.S. Food and Drug Administration (FDA) regulations, other regulatory requirements, company policies, operating procedures, processes, and task assignments
  

EXPERIENCE YOU'LL BRING

Required

• 
  
• Participation in multiple full SAP implementations
  
• Experience with multiple ECC and S4 modules, such as OTC, PTP, SCM, RTR etc.
  
• Experience with S4, ECC , GTS, SCM, and APO applications
  
• Experience in Classic Dialog Programming, WebDynpro for JAVA/ABAP, Data Dictionary, ALV, ALE, RFCs, Odata, IDOCs, Proxies, Workflow, Object Oriented ABAP, Function modules (RFC), Smart forms, SAP Script, Adobe Forms, BDC/Call Transaction, BRF+, Fiori Apps, User Exits, CDS, BADIs, etc.
  

Preferred

• 
  
• Experience in SAP S/4 HANA and its development technologies
  
• Solid working knowledge of the SAP development tools, such as ABAP Workbench, Business Application Studio (BAS), Eclipse
  
• JAVA, UI5 development experience
  
• Experience working in a broader enterprise/cross-division business unit model
  

Job Title: Data Scientist

Duration: 12 Months (Temp to Hire)

Location: Newark, NJ 07102

Job Description:

Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions.

As a Data Scientist on/in the US Businesses PruAdvisors Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

Responsibilities:

• 
  
• Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments
  
• Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales.
  
• Manage team members in AI/ML and model development, testing, training, and tuning. Apply hands-on experience to ensuring best-in-class model development. Mentor team members in technical skill development and product ownership.
  
• Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement.
  
• Manage external vendors in the execution of parts of the data science development process as needed.
  
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code on Prudential's AI/ML platform.
  
• Bring a deep understanding of relevant and emerging technologies, give technical direction to team members and embed learning and innovation in the day-to-day.
  
• Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies.
  
• Familiarity with Python, SQL, AWS, and JIRA.
  
• Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts.
  

The Skills and expertise you bring:

• 
  
• Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs.
  
• Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions.
  
• Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products.
  
• Ability to influence business stakeholders and to drive adoption of AI/ML solutions.
  
• Experience with agile development methodologies, Test-Driven Development (TDD), and product management.
  
• Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  
• Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions
  
• Excellent problem solving, communication and collaboration skills, and stakeholder management
  
• Significant experience and/or deep expertise with several of the following:
  
• Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude).
  
• Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products.
  
• Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python.
  
• Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc.
  
• Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.
  
• Programming Languages: Python and SQL
  

Title: IT Project Manager

Duration: 06 months

Location: Columbia, SC (Partial Onsite - Onsite -Tuesday, Wednesday, and Thursday, other days as required by project planned deliverables.)

**Credit Check is required**

The expectations for a typical day for this role:

• 
  
• Lead several projects (one to five) in a strong matrix environment executing Software Development Lifecycle methodologies.
  
• Developing and monitoring project plans, communication plans, risk management plans, and project artifacts from project initiation to post implementation/closure.
  
• Ensures project deliverables are complete on time, on budget, within scope, and in accordance with client's standards.
  
• Responsible daily for the development, execution, and maintenance of project plans and project communications: facilitating effective communications between all parties involved in the project, including meetings, correspondence/recaps, status reports and other project artifacts per client's standards.
  
• Monitors resource requirements and assign deliverables based on project specifications. Ensures resources are assigned to meet project objectives while managing project hours budgeted.
  
• Identifies and manages tasks and issues that impact the scope, budget, risk, and resources of the work effort to ensure delivery as planned.
  
• Provides both written and verbal project status updates upon request.
  
• The candidate should be versed in IT SDLC
  

Required Education: Bachelor's Degree or 4 years of job related work experience or 2 years of job related experience plus an associate's degree in any major.

Required Work Experience: 3 years IT experience in a leadership capacity on one or more project teams. Completion of the client's Training Program for Project Management may substitute for one year of work experience.

Team Name: VDS (Commercial PMO)

The Team: The Project Manager will report to a Portfolio Manager with a team of 8 - 10 Project Managers. Most project teams will range between 8 - 20 team members. My team supports various portfolios including Data Exchange, Telephony, Mobile/Full Site, and AEM.

Required Technologies: Windows applications (Word, Excel, Outlook, SharePoint Online, PowerPoint, Visio, Project, Teams, etc.)

Nice To Have: Azure Boards, Project

Soft Skills:

• 
  
• Demonstrated organizational skills.
  
• Demonstrated IT project management experience.
  
• Strong written and verbal communication skills.
  
• Dependability
  
• Accountable for results.
  
• Adaptable
  
• Presentation skills.