Extensishr Cloud Jobs in Usa

Candidates must be U.S. Citizens or Green Card holders ONLY.

Location: Columbus, OH (must live locally or be willing to relocate)

ComResource is looking for a Senior Full-Stack Engineer to join our high-performing agile development team. In this role, you’ll work across all layers of complex software applications, contributing both as a hands-on developer and a collaborative team member.

As a senior engineer, you will lead key initiatives, help define engineering best practices, and support your peers through complex technical challenges. You’ll be the go-to expert for critical features and components, playing a central role in delivering technology solutions that are safer, more efficient, and more cost-effective.

Key Technologies: Java, Spring Boot, JavaScript/React, REST APIs, Cloud platforms (AWS preferred)

Essential Duties & Responsibilities:

Software Development

• Develop high-quality software features and components that integrate into complex solutions.
• Write code that is well-structured, readable, maintainable, testable, and performant using standard software craftsmanship techniques.
• Participate in sizing decisions and complexity evaluations for initiatives.
• Pair with other engineers and apply clean-code practices to produce high-quality work.

Testing & Quality Assurance

• Create comprehensive testing strategies, including performance, security, regression, and automation testing.
• Develop unit, integration, and automated acceptance tests based on requirements.
• Build automated tests for both positive and negative scenarios.
• Utilize test-driven development (TDD) to guide implementation and coach peers on TDD and testing best practices.

Data Management, Infrastructure & Integrations

• Define data storage and access strategies and make informed design decisions using knowledge of data modeling, storage, and transmission.
• Apply basic ML and data analytics understanding to maximize business value through data transformation.
• Design system integration strategies leveraging cloud and managed services.
• Utilize infrastructure-as-code concepts to design reusable modules, support container orchestration, and assist with data migration.

Operations

• Build highly dependable features and systems using operational best practices such as monitoring, logging, metrics, and system-health visibility.
• Advocate for and contribute to deployment automation and operational excellence.
• Manage build pipelines and write code to collect, monitor, and display key metrics.

Security & Compliance

• Develop software with a security-first mindset using knowledge of security protocols, secure coding techniques, and protection of sensitive information (including PHI).
• Proactively identify and mitigate potential security threats.
• Implement basic security safeguards and leverage threat modeling for system-level security.

Product & User Experience

• Build features with a strong focus on usability and user experience.
• Enhance user-facing applications, create reusable interaction patterns, and support UI/UX best practices.
• Translate design goals into functional, user-facing implementations.
• Address technical and design debt based on priority and impact.

Requirements & Design

• Collaborate with stakeholders to understand business context and communicate technical considerations.
• Write detailed technical stories that translate business needs into clear, actionable specifications.
• Apply architectural guidance to new challenges and make cost-effective feature design decisions.

Required Skills & Experience:

• Minimum of 6 years of professional software engineering experience
• Highly motivated, self-driven, and technically inquisitive, with a strong desire to learn and grow.
• Proficiency in one or more server-side programming languages (Java and Spring Boot preferred).
• Experience with one or more client-side programming languages (JavaScript and React preferred).
• Hands-on experience developing, deploying, and supporting REST services and microservices.
• Familiarity with cloud platforms for storage, compute, and infrastructure as code; experience with Kubernetes and AWS is preferred.
• Knowledge of relational and non-relational databases, along with messaging systems.
• Ability to positively influence team outcomes—mentors peers, contributes to decision-making, and drives innovation.
• Strong collaboration skills with business stakeholders; experience proposing product features to enhance product value is a plus.
• Excellent written and verbal communication skills.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, or a related field; equivalent work experience will also be considered.

Role: Senior Principal Engineer

Location: Plano, Texas (Hybrid)

Duration: Long Term Contract

Description

The Senior Principal Engineer provides technical thought leadership and hands-on execution in securing Connected, Autonomous, Shared, and Electrified (CASE) mobility solutions and digital services. This role focuses on end-to-end (E2E) vehicle ecosystem security, including embedded systems, cloud platforms, and mobile applications, ensuring privacy-by-design and security-by-design principles are embedded throughout.

Essential Functions:

•Product cybersecurity technical thought leadership in the research, design, development, manufacturing, and/or operations of the Connected, Autonomous, Shared, and Electrified mobility solutions and digital services.

•Creation & facilitation of automotive threat analysis and risk assessment (TARA) for the end-to-end (E2E) vehicle ecosystem (embedded, cloud, mobile app).

•Individual contributor executing the roles and responsibilities of an engineering technical lead across multiple projects, processes, and teams. Support activities include:

•Working with stakeholders to understand timeline, input/output, dependencies, etc.

•Technical experience to understand any “impediments” the team may experience

•Work with external stakeholders to remove “impediments” from the team

•Hands-on work to complete TARA, system requirements, system reference architectures for E2E vehicle ecosystem

•Creation & facilitation of technical reference architectures to quickly enable biz divisions to implement solutions that align w/ privacy-by-design & security-by-design.

•Execute the roles and responsibilities of an individual contributor across multiple projects and teams independently with very little oversight required.

•Liaise with line of business leaders and general other risk functions to deliver program needs within business units.

Requirements:

•Bachelor's degree in Computer Engineering, Computer Science, Cybersecurity, Electrical Engineering, or a related field is strongly desired.

•8+ years of experience in a security engineering role, with an emphasis on cybersecurity expertise with identifying risks & designing countermeasures for embedded systems, cloud systems, and mobile app.

•4+ years of experience in automotive, manufacturing, internet of things (IOT), and/or software industries

•Systems, hardware, and/or software engineering and cybersecurity subject matter expert with hands-on engineering development and technical leadership experience.

•Strong interpersonal and communication skills with the ability to create and present concepts and recommendations to technical peers and management.

•Strong technical competence in MS tool suite (i.e., Outlook, Word, Excel, PowerPoint, etc.)

•Fluent in English (reading, writing, speaking) for business and technical discussions

Preferred Skills:

•OSCP, SANS/GIAC, CISSP, or other related/equivalent certification

•Experience with compliance regulations/laws, security frameworks and standards (e.g., ISO/SAE 21434, NIST, HIPAA, ISO, COBIT, OWASP, ITIL, etc.)

•Experience with one or more of the following industries: law enforcement, defense, intelligence community, automotive, manufacturing, software.

•Fluent in Japanese (reading, writing, speaking) for business and technical discussions.

About the Company

The company develops and manages AI computing infrastructure that enables the training and deployment of advanced language and multimodal models. Its architecture includes high-density cloud clusters, on-premises data centers, and proprietary chip technology optimized for next-generation AI tasks.

The company’s semiconductor division is creating Language Processing Units (LPUs), custom accelerators designed for ultra-efficient inference, low-latency token generation, and scalable fine-tuning. This innovation sets a new performance standard for large language and reasoning systems used across various industries.

Through direct partnerships with AI developers, research labs, and global enterprises, the company provides access to secure, high-performance compute infrastructure designed for reliability, transparency, and continuous optimization.

The Opportunity: Chief Revenue Officer

The company is seeking a Chief Revenue Officer (CRO) to oversee global commercial operations and expand revenue across enterprise, government, and research clients. The CRO will be responsible for establishing the company’s go-to-market strategy, revenue structure, and customer success systems within both infrastructure and chip divisions.

This position combines strategic revenue design with a deep understanding of AI hardware economics, compute allocation models, and long-horizon enterprise partnerships. The CRO will play a central role in building a global revenue organization capable of sustaining growth through multi-year infrastructure and co-development contracts.

Strategic Priorities

1. Commercial Growth and Revenue Architecture

• Build a global revenue model that aligns recurring compute utilization with long-term client engagements.
• Develop pricing and allocation frameworks for on-demand compute, dedicated clusters, and co-located hardware installations.
• Drive sustained ARR growth through enterprise subscriptions, chip licensing, and infrastructure partnerships.

2. Go-to-Market and Field Organization

• Lead global GTM strategy covering direct sales, partner programs, and vertical integration channels.
• Build regional teams focused on high-value sectors such as research, defense, autonomous systems, and generative AI.
• Establish operational standards for forecast accuracy, margin visibility, and deal lifecycle performance.

3. Partnership and Ecosystem Development

• Structure strategic collaborations with hyperscalers, model labs, and national research initiatives.
• Negotiate co-development and joint go-to-market agreements for LPUs and quantum-adjacent AI architectures.
• Represent the company in global forums related to AI infrastructure, chip innovation, and sustainable compute design.

4. Organizational Leadership

• Build a performance-driven revenue organization integrating sales, marketing, and customer operations.
• Define success metrics that link customer adoption, infrastructure utilization, and operational efficiency.
• Ensure commercial decisions align with engineering velocity and product reliability.

Candidate Profile

• Fifteen or more years in executive commercial leadership across AI infrastructure, semiconductors, or high-performance cloud systems.
• Proven record of scaling ARR above $500 million through multi-channel enterprise and strategic partner ecosystems.
• Strong understanding of compute infrastructure economics, chip manufacturing cycles, and large-model deployment frameworks.
• Experience leading revenue operations in hybrid environments combining cloud delivery and hardware distribution.
• Strategic capability in long-term contract negotiation, cost modeling, and go-to-market orchestration.
• Demonstrated success building high-caliber revenue organizations in technically complex markets.

Compensation and Structure

• Performance Incentive: Up to 150 percent of base salary tied to ARR, profitability, and infrastructure utilization
• Equity Participation: 2 to 4 percent fully diluted, aligned with multi-year enterprise growth
• Comprehensive global benefits, travel and relocation support, and executive performance programs

This role defines the commercial architecture of one of the most advanced companies in the field of artificial intelligence. The CRO will shape how AI computing becomes accessible, efficient, and sustainable across the global economy.

Role: Snowflake Architect

Location: Oakland, CA (San Francisco Bay Area)

Employment Type – Contract to Hire

Job Overview

The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering, with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders, data analysts, and data scientists to ensure the efficient development and management of our data infrastructure.

You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E’s sustainability goals.

Key Responsibilities

• Develop and optimize cloud-based data storage and processing solutions using Snowflake.
• Design, implement, and maintain robust data pipelines and ETL processes
• Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions.
• Ensure data integrity and security across all data workflows and storage solutions.
• Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.
• Develop reusable and modular stored procedures and scripts for data processing.
• Contribute to the development and implementation of data governance and best practices.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Implement best practices for data governance, data quality, and metadata management.

Minimum Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proven experience with Snowflake is required.
• Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
• Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks).
• Strong proficiency in SQL and database management.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with version control (Git) and CI/CD for data pipelines.
• Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Job Title: Software Product Manager

Reports to: Chief Product Officer

Location: Westminster, CO (Hybrid — 3-4 days on site)

Compensation: Salary range $135k-$165k

About Inovonics

Inovonics builds enterprise grade wireless sensor networks and software for life safety and security systems in demanding environments. For over 40 years, our 900 MHz wireless technology has helped protect people, property, and critical operations across senior living communities, healthcare campuses, schools, retail sites, and other commercial facilities. We have shipped more than 25 million devices worldwide.

We are in the middle of a deliberate transformation: moving from a hardware component provider to a complete solutions company. That means building a software platform, cloud integrations, and AI-driven capabilities alongside our wireless hardware. This role sits at the center of that shift. Inovonics is a wholly owned subsidiary of Roper Technologies (NYSE: ROP).

The Role

We are looking for a Software Product Manager who can guide our software engineering team with clarity and technical credibility. This is not a role for someone who will hand requirements over the wall and hope for the best. You will be embedded in the day-to-day work of the team: running sprint ceremonies, owning the backlog, writing requirements that engineers can act on, and making product decisions that hold up under scrutiny.

The right candidate has a software engineering or technical background and has moved into product management because they want to shape what gets built, not just how it gets built. You understand system architecture well enough to know when a proposal does not fit, and you are willing to say so. You write requirements you have thoroughly reviewed and own the outcomes that follow.

What You Will Own

Day to day software team leadership

• Own the product backlog and sprint planning for the software engineering team
• Write and maintain requirements that are accurate, scoped, and actionable
• Run Agile ceremonies and serve as the primary product voice to engineering
• Manage trade-off decisions between scope, quality, and timeline in real time
• Report sprint progress to executive leadership
• Work with customer-facing teams and market focused Product Managers to triage requests and manage communication related to software releases

Software roadmap and platform strategy

• Define the “What”, “Why”, and “When” of what the software team builds.
• Own the software and cloud platform roadmap, including API integrations and third-party partnerships
• Ensure roadmap initiatives have well defined software requirements before engineering picks them up
• Partner with hardware and market focused product managers to identify what software can realistically deliver, surface revenue opportunities, and align software commitments to system level plans.
• Maintain visibility into technical dependencies and surface risks early

AI product direction

• Provide product leadership for Inovonics' AI capabilities, including our dealer facing AI assistant and AI driven monitoring features
• Translate the engineering team's AI and ML capabilities into a committed, realistic roadmap
• Identify where AI creates genuine product value versus where it adds complexity without payoff
• Work with commercial and customer facing teams to validate AI use cases before committing engineering resources

What Success Looks Like in Year One

• The engineering team trusts your requirements and does not spend cycles reworking stories because of gaps or inaccuracies
• The software backlog is clean, prioritized, and current
• Roadmap projects have software requirements captured and ready before they enter sprint planning
• A clear, defensible AI roadmap exists with prioritized use cases tied to business outcomes
• You are operating independently and are the recognized product leader for the software team

What We Are Looking For

Required

• Background in software engineering, computer science, or a related technical discipline
• Hands on experience running Agile development: sprint planning, backlog management, story writing, and retrospectives
• Demonstrated ability to write detailed, accurate product requirements that engineering teams can execute without constant clarification
• Ability to engage in architectural conversations and recognize when a proposal does not fit the existing system
• Experience owning a SaaS or cloud platform product end-to-end
• Comfort with ambiguity and the ability to make and defend product decisions with incomplete information

Strongly preferred

• 5+ years of product management experience with a software or engineering foundation
• Experience with IoT, connected hardware, or embedded systems products
• Familiarity with physical security, life safety, or building automation markets
• Experience shipping AI or ML powered product features; practical understanding of what AI systems can and cannot do
• Experience with API platform products and third-party integration ecosystems

Personal qualities that matter for this role

• You own your outputs. If you put a requirement in front of engineering, you have read it, pressure tested it, and stand behind it
• You know what you do not know and say so
• You earn credibility through rigor, not title
• You can move between strategic and operational work in the same day without losing focus

Location and Work Model

This position is based in Westminster, Colorado. We work in a hybrid model with 3-4 days per week on site. Westminster sits within the Denver/Boulder tech corridor, approximately 15 miles northwest of Denver.

Inovonics values diversity of thought and background and provides equal employment opportunity to all qualified applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, veteran status, or disability.

About Convene Inc.

Convene, Inc. is a Tampa based, award-winning technology services organization with offices and resources throughout the US, Mexico, and India. We have successful, referenceable customers, competitive benefits, and high-growth opportunities.

The Role

This is not a demo-only role.

You'll sit at the intersection of sales, delivery, and strategy—owning how Salesforce solutions are shaped, positioned, and scoped during the sales cycle.

You'll partner closely with sales and delivery teams to lead discovery, design solutions, and build trust with clients—ensuring we win work that we can deliver successfully.

What You'll Do

• Lead discovery sessions to understand client needs, challenges, and goals
• Design scalable Salesforce solutions across Sales, Service, and/or Experience Cloud
• Translate business requirements into clear solution approaches and architectures
• Support deal strategy, scoping, and solution positioning alongside sales
• Deliver tailored demos, workshops, and solution walkthroughs
• Ensure alignment between presales commitments and delivery capabilities
• Contribute to reusable assets, playbooks, and solution frameworks

What We're Looking For

• 5+ years of Salesforce experience in consulting, solutioning, or presales
• Strong knowledge of Salesforce platform capabilities and architecture
• Experience designing end-to-end solutions (not just features)
• Ability to lead discovery and communicate effectively with both business and technical stakeholders
• Strong storytelling and presentation skills
• Experience working in a Salesforce partner or consulting environment
• Salesforce certifications (Admin, Platform App Builder, Sales/Service Cloud Consultant, etc.)
• Multi-cloud implementation experience
• Familiarity with integrations and enterprise architecture
• Experience working with nearshore or distributed delivery teams

Why Convene

• High-impact role shaping a growing Salesforce practice
• Direct collaboration with leadership—no siloed presales structure
• Focus on quality deals and real outcomes, not volume selling
• Flexible, fast-moving environment with room to build and influence

What Success Looks Like

• Clear, realistic scopes aligned with delivery
• Increased client trust early in the sales cycle
• Scalable, repeatable solution patterns
• Proposal win rate
• Salesforce consulting revenue growth
• Client confidence in pre-sales phase
• Contribution to pipeline expansion

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location: Chicago, IL

It is a Hybrid role in Chicago, IL

Job Description

Role Overview

The Guidewire Senior Business Analyst / Functional Lead is responsible for leading requirements, functional design, and end‑to‑end solutioning across Guidewire applications (PolicyCenter, BillingCenter, ClaimCenter). This role works closely with business stakeholders, architects, technical teams, and QA to ensure successful delivery of Guidewire implementations and enhancements.

The Senior BA/Functional Lead provides domain expertise, drives requirement clarity, ensures alignment across teams, and often leads small functional pods within Guidewire programs.

Key Responsibilities

Business Requirements & Functional Analysis

Lead requirement‑gathering sessions with business users, SMEs, product owners, and underwriting/claims/billing teams.

Translate business needs into clear functional requirements, user stories, acceptance criteria, and workflows.

Analyze current‑state and future‑state processes; identify gaps and recommend optimal solutions.

Create functional specifications, process maps, BRDs/FRDs, and configuration requirements for Guidewire modules.

Guidewire Functional Leadership

Serve as the functional expert for PolicyCenter, BillingCenter, or ClaimCenter based on project needs.

Guide configuration teams on field changes, business rules, rating logic, questionnaires, underwriting rules, billing plans, claims transactions, and workflows.

Validate that designs align with Guidewire out‑of‑the‑box capabilities and recommend appropriate extensions when needed.

Support design discussions with technical architects, integration teams, and data teams.

Required Skills & Experience

12+ years of experience as a Business Analyst, with at least 3-5 years in Guidewire implementations.

Strong functional expertise in one or more Guidewire products:

PolicyCenter (UW, Rating, Product Model, Policy Transactions)

BillingCenter (Billing Plans, Payments, Invoicing, Delinquency)

ClaimCenter (FNOL, coverage validation, reserves, payments, recovery)

Strong understanding of P&C insurance domain (underwriting, policy, billing, claims).

Experience writing user stories, functional specs, and acceptance criteria in Agile environments.

Ability to lead functional teams and collaborate closely with architects, developers, and QA.

Strong proficiency in tools like Jira, Confluence, Visio, Excel, and Agile management tools.

Preferred Qualifications

Guidewire Business Analyst or Specialist certifications.

Experience with Guidewire Cloud or cloud transformation programs.

Knowledge of SQL, data analysis, and API/integration patterns.

Experience with rating engines, product configuration, or third‑party integrations."

The base compensation range for this role in the posted location is: 140,000 to 150,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insurance

Employee assistance programs

Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

Job Title: eCommerce Project Manager (Adobe Commerce)

Position Type: Permanent or Contract-to-Hire (preferred)

Location: Hybrid - 4 Days on site per week in Milwaukee, Wisconsin

Salary/Contact Rate: $100,000 - $130,000 DOE

*US Citizens or Green Card holders only*

Our client, a Machinery Manufacturing company, is seeking a skilled eCommerce Project Manager to lead the delivery of complex, high conversion web projects. You will be the bridge between their stakeholders' visions and engineering team's execution.

Job Description:

• You will lead the Agile and Scrum process, facilitating daily stand-ups, sprint planning, retrospectives and demos.
• Adobe Commerce Expert: Guide the team through Adobe Commerce-specific workflows, including third-party integrations, module customisations and version upgrades.
• Stakeholder Management: Translate business language into technical requirements (User Stories) and manage expectations regarding scope and timelines.
• Backlog Refinement: Keep the product backlog healthy, prioritised and clearly defined so the dev team never hits a roadblock.

Qualifications:

• 3+ years of Project Management experience specifically within the eCommerce sector.
• Deep, hands-on experience managing projects on Magento 2/ Adobe Commerce (Cloud or On-Prem). Alternative enterprise eCommerce products will be considered (Shopify or Salesforce Commerce Cloud).
• Certified Scrum Master (CSM) or equivalent experience running Agile/Kanban teams in a fast-paced environment.
• You don't need to code, but you should understand the MVC architecture, APIs, and the difference between a core hack and a clean extension.
• Proficiency with Jira, Confluence, and roadmap software (like Roadmunk or Asana).

Beneficial to have:

• Adobe Certified Professional - Adobe Commerce Business Practitioner
• PMP Certified

About Hirobe Limited:

Expert recruitment, powered by a deep understanding of the Adobe Experience Cloud. Since 2018, we've been connecting the best Adobe professionals with leading organizations, giving us a unique insight into both the technology and the talent. What truly sets us apart is our specialized market knowledge, tailored service, and unwavering commitment to finding the ideal fit for everyone involved.