Information Technology Jobs in San Mateo County, CA

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Clinical Systems Analyst – Cardiology Imaging / CVIS

• Position Type: Full-time Employment (FTE) – Direct Hire
• Number of Openings: 1
• Start Date: ASAP
• Salary Range: $123,000 – $163,000
• On-site Requirements: 2-3 days on-site per month – highly prefer candidates local to the Bay Area or within reasonable driving distance

Position Summary:

• Our client is seeking a Senior Clinical Systems Analyst to support cardiovascular imaging systems and workflows within a highly collaborative clinical and technical environment.
• This role will focus on the design, implementation, and optimization of cardiovascular imaging applications and PACS systems, ensuring seamless integration with enterprise systems and clinical workflows. The analyst will work closely with cardiologists, radiologists, clinical staff, and IT teams to support mission-critical systems that directly impact patient care and diagnostic decision-making.
• The ideal candidate will bring strong experience supporting cardiology imaging environments, PACS platforms, and healthcare interoperability standards such as DICOM and HL7, along with the ability to lead complex system enhancements, upgrades, and optimization initiatives.
• Current Cardiology / CVIS imaging systems: Phillips ISCV, iECG, and Xper
• Key Responsibilities:
• Provide Tier 2 application support for cardiovascular imaging and clinical systems, including participation in 24/7 on-call rotation as needed
• Support and optimize cardiology imaging workflows and PACS systems
• Ensure proper integration and interoperability between imaging systems and enterprise applications using standards such as DICOM and HL7
• Collaborate with cardiologists, interventional radiologists, IT teams, and vendors to implement system enhancements and workflow improvements
• Lead or support software upgrades, system implementations, and new functionality deployments
• Troubleshoot and resolve complex application issues and system performance concerns
• Identify opportunities for system optimization, stability improvements, and workflow efficiencies
• Maintain detailed technical documentation, workflow diagrams, and project documentation
• Mentor junior analysts and provide guidance on application support and troubleshooting
• Coordinate with cross-functional teams including Infrastructure, Integration, Reporting, and Help Desk
• Lead or facilitate technical and operational meetings related to system improvements and project initiatives

Position Qualifications:

• 5+ years of healthcare IT systems analyst experience
• Experience supporting clinical applications in a healthcare environment
• Experience with cardiovascular imaging systems or PACS platforms
• Experience supporting system integrations using DICOM and HL7 standards
• Experience supporting complex healthcare workflows and clinical systems
• Bachelor’s Degree is required
• Current Cardiology / CVIS imaging systems: Phillips ISCV, iECG, and Xper – experience with these would be a bonus, but not required
• Experience supporting Epic environments or Epic-integrated systems – preferred, not required
• Experience with major Epic implementations or upgrades – preferred, not required
• Experience working with cardiology or radiology imaging workflows – preferred, not required

On-Target Earnings (OTE) Range

San Francisco: the pay range for this role is $189,000 to $259,500 per year.

About this role

Faire's quality, depth, and breadth of brands is its strongest value to retailers. The Enterprise Account Executive role sits at the center of our enterprise brand acquisition efforts — partnering with larger, more complex brands to bring them onto the Faire platform. You'll own a book of strategic prospects, navigate multi-stakeholder sales cycles, and help shape how we approach enterprise partnerships as a team.This role is for you if you've sold into mid-market or upper mid-market environments where deals involve 5-6 stakeholders, span multiple quarters, and require building business cases that resonate across departments. You're a strong storyteller who understands change management and knows how to frame value for decision-makers who are protective of their existing distribution strategies.

What you’ll do

• Own and execute against a quarterly quota of GMV and brand activations, managing a pipeline of strategic enterprise prospects
• Navigate complex, multi-stakeholder sales cycles (typically 6-9 months) by building relationships across departments and handling objections at each level
• Develop tailored proposals and business cases that align Faire's value with each prospect's specific goals and constraints
• Partner with cross-functional teams - including Product, Strategy & Analytics, and Revenue Operations - to refine our enterprise sales motion and share market
• insights
• Contribute to the evolution of our sales playbook, value props, and outreach strategies based on what you learn in the field
• Meet prospects in person when needed to build trust and accelerate deal velocity

Qualifications

• 5+ years of closing experience in B2B technology sales, ideally in mid-market or upper mid-market environments
• Track record of managing complex sales cycles with multiple stakeholders and long timelines
• Experience selling products or services that require change management or business model evolution on the buyer's side
• Strong storytelling ability - you can articulate value clearly and build narrative around why a prospect should act
• Comfort with ambiguity and a bias toward action; you figure things out and move forward
• Retail, e-commerce, or marketplace experience is a strong plus
• Based in or willing to relocate to San Francisco

On-Target Earnings (OTE) Range

San Francisco: the pay range for this role is $189,000 to $259,500 per year.

This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

• We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
• We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
• We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
• We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ( )

We are seeking an experienced operational leader to manage the organizational infrastructure for a deep-tech research institute.

This person will architect and build a scaleable internal operations infrastructure that will serve as a shared resource for Division Teams composed of scientists, engineers, entrepreneurs, policy experts, and others who speed development of innovative solutions to complex challenges.

Experience quickly and successfully scaling organizations from inception is critical. Individuals with high intelligence, curiosity, and EQ will thrive in this fast paced environment.

Responsibilities include:

Financial Leadership & Controls

• Lead budgeting, forecasting, financial modeling, and organization-wide financial planning.
• Oversee accounting, treasury, cash management, and financial systems as the organization scales.
• Manage tax filings, audits, compliance, and all financial relationships with vendors and partners.
• Partner with Founders and Strategic Investments to deploy capital efficiently using creative instruments (recoverable grants, structured incentives, equity-like positions, etc.).
• Provide timely, accurate financial insights to Founders and Division Leads.

People & HR Operations

• Develop and maintain People Plan aligned with Founder and Division Lead needs.
• Oversee full HR lifecycle: recruiting, onboarding, performance management, and off-boarding.
• Manage HR systems (HRIS, payroll, ATS), benefits programs, compensation structures, and employee documentation.
• Deliver training, organizational development, and compliance with labor laws.

Facilities & Infrastructure

• Lead planning, leasing, purchasing, and buildout of office, lab, event, and vivarium spaces.
• Ensure facilities meet safety, compliance, and future scalability requirements.
• Oversee physical security, environmental standards, renovations, and expansion.

Information Technology

• Implement secure, scalable internal and external IT systems that meet diverse user needs.
• Manage IT vendors, contracts, cybersecurity practices, and intellectual property protections.

Legal, Tax & Compliance Oversight

• Coordinate with external counsel to manage organizational legal, tax, and regulatory matters.
• Ensure operational and investment activities comply with relevant laws, nonprofit rules, and reporting requirements.

Marketing, Communications & Community Engagement

• Shape brand, messaging, digital presence, and external communications.
• Produce events, convenings, webinars, and ecosystem-building engagements that extend our impact.
• Support community and partner relations, ensuring visibility and adoption of our concepts.

Qualifications:

• Proven experience overseeing multi-functional operations, including finance, HR, legal, IT, and facilities.
• Strong financial acumen with experience in budgeting, modeling, accounting systems, audits, and compliance.
• Ability to deploy capital creatively (grants, loans, equity-like structures) in mission-driven environments.
• Experience leading recruiting, onboarding, performance management, and culture-building in fast-growing start-up organizations.
• Skilled in building HR systems, compensation frameworks, benefits programs, and training infrastructure.
• Demonstrated experience planning and executing facility buildouts (office, lab, or technical environments).
• Comfortable designing scalable operational systems for rapidly growing teams with diverse functional needs.
• Familiarity with implementing secure, scalable IT systems and managing external vendors.
• Ability to balance usability, cost-efficiency, and security across internal and public-facing systems.
• Experience managing nonprofit, corporate, or research organization compliance and navigating complex regulatory landscapes.
• Comfortable partnering with legal counsel on contracts, tax matters, and organizational governance.
• Skilled at shaping organizational messaging, brand identity, and external communications.
• Experience producing events and community engagement initiatives that build visibility and influence.
• High-EQ, collaborative leader able to work across scientific, entrepreneurial, and policy environments.
• Thrives in ambiguity with a bias toward action, transparency, and rapid iteration.
• Strong service orientation toward internal teams; comfortable balancing strategic and hands-on execution.

Role – Senior AWS PySpark Developer

Location – Hybrid – South San Francisco, CA

We are seeking an experienced Sr. AWS PySpark Developer with 8 -10 years of experience to design, build, and optimize our data pipelines and analytics architecture. The ideal candidate will have a strong background in data wrangling and analysis, with a deep understanding of AWS data services.

Key Responsibilities:

• Design, build, and optimize robust data pipelines and data architecture on the AWS cloud platform.
• Wrangle, explore, and analyze large datasets to identify trends, answer business questions, and pinpoint areas for improvement.
• Develop and maintain a next-generation analytics environment, providing a self-service, centralized platform for all data-centric activities.
• Formulate and implement distributed algorithms for effective data processing and trend identification.
• Configure and manage Identity and Access Management (IAM) on the AWS platform.
• Collaborate with stakeholders to understand data requirements and deliver effective solutions.

Required Skills & Experience:

• 8-10 years of experience as a Data Engineer or Developer.
• Proven experience building and optimizing data pipelines on AWS.
• Proficiency in scripting with Python.
• Strong working knowledge of:
• Big Data Tools: AWS Athena.
• Relational & NoSQL Databases: AWS Redshift and PostgreSQL.
• Data Pipeline Tools: AWS Glue, AWS Data Pipeline, or AWS Lake Formation.
• Container Orchestration: Kubernetes, Docker, Amazon ECR/ECS/EKS.
• Experience with wrangling, exploring, and analyzing data.
• Strong organizational and problem-solving skills.

Preferred Skills:

• Experience with machine learning tools (SageMaker, TensorFlow).
• Working knowledge of stream processing (Kinesis, Spark-Streaming).
• Experience with analytics and visualization tools (Tableau, Power BI).
• Knowledge of optimizing AWS Redshift performance.

Education

• Bachelor’s or Master’s Degree in Information Technology, Computer Science or relevant field.

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.

Physical Demands

This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO

Saama provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

Role Overview

We are seeking a senior Life Sciences consulting leader who combines deep domain expertise, hands‑on delivery leadership, and strong executive presence. This role operates as a high‑impact individual contributor, leading from the front—shaping solutions, advising clients, and influencing outcomes across complex Healthcare & Life Sciences (HLS) programs.

The ideal candidate will act as a trusted advisor to client leaders while remaining deeply engaged in solution design, delivery decisions, and stakeholder engagement.

Position: Principal Consultant – Life Sciences Commercial Systems

Location: Redwood City, CA (Hybrid – 4 days onsite)

Industry: Healthcare & Life Sciences

Employment Type: Full-time

Key Responsibilities:

Strategic Leadership & Advisory:

• Serve as a subject matter expert and thought partner for HLS clients across Commercial, Medical, and enabling functions.
• Partner with senior client stakeholders (Sales, Commercial IT, Medical Affairs, Compliance) to define technology strategies, roadmaps, and governance models.
• Lead business process transformation initiatives aligned with Life Sciences regulatory and compliance requirements.
• Provide guidance on operating models, data integrity, and system validation considerations.

Life Sciences Systems & Delivery Leadership

• Lead end‑to‑end implementations, enhancements, and optimization initiatives across:
• Veeva CRM
• Adjacent Commercial / Medical systems within the Salesforce ecosystem
• Own solution design, functional governance, and delivery oversight for complex HLS programs.
• Guide clients through commercial compliance, regulatory, and validated system requirements.
• Act as a quality gate for solution architecture, functional design, and release strategy.

Hands-on Individual Contributor (IC)

• Operate as a hands‑on leader, deeply involved in:
• Solution design and functional architecture
• Key client workshops and decision points
• Design reviews and delivery checkpoints
• Review and guide functional specifications, solution designs, and deployment approaches.
• Support pre‑sales activities, including solution storytelling, demos, and client presentations.
• Present confidently to senior leadership and executive stakeholders.
• Translate complex business challenges into practical, scalable, and compliant technology solutions.
• Serve as a visible leader within the Life Sciences practice, mentoring others through influence rather than direct authority.

Required Qualifications:

Experience & Domain Expertise:

• 10–15+ years of experience in Healthcare & Life Sciences IT and/or digital transformation.
• Experience with Veeva Vault platforms (e.g., PromoMats, MedComms, Quality, or Clinical) is a strong plus, but not required.
• Strong experience delivering Life Sciences Commercial and/or Medical systems, with demonstrated ownership of solution design and client outcomes.
• Proven experience supporting Commercial, Medical, or Customer Engagement functions within Life Sciences.
• Deep understanding of HLS compliance, validation, and regulatory requirements.
• Demonstrated success operating as a senior IC and client advisor, not solely as a delivery team member.
• Exceptional communication, presentation, and stakeholder management skills.
• Comfortable engaging with executives, business leaders, and cross‑functional teams.

Preferred Qualifications:

• Experience with Salesforce ecosystem integrations (Sales Cloud, Service Cloud, MuleSoft, etc.).
• Exposure to global or enterprise‑scale Life Sciences implementations.
• Background in consulting environments supporting Life Sciences clients.
• PMP or similar project/program management certification.

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

Duration: 6 months

Job Description:

• We are seeking a Digital Accessibility Product Design Specialist with deep expertise in digital accessibility to support product design teams in creating inclusive digital experiences.
• This role focuses on embedding accessibility into the design phase of product development, ensuring accessibility considerations are integrated early in the UX lifecycle. The specialist will partner closely with UX designers to review designs, guide accessible interaction patterns, and help prevent accessibility issues before development begins.
• The ideal candidate will have a strong background in Product or UX Design and later specialized in accessibility, with hands-on experience applying accessibility standards, assistive technologies, and inclusive design practices across modern digital products.
• This is a design-focused accessibility role that emphasizes guiding accessible UX patterns during the design process rather than accessibility testing or engineering remediation.

Responsibilities:

Accessibility Design Integration

• Partner with UX and product design teams to incorporate accessibility best practices during the design and concept stages of product development.
• Review UX designs, wireframes, and interaction patterns to ensure accessibility considerations are addressed early.
• Guide designers on accessible interaction patterns, UI components, and inclusive user flows.
• Identify potential accessibility barriers during design reviews and recommend improvements.

Accessible UX Guidance

• Provide expertise on inclusive design principles and accessible UX patterns.
• Ensure proper color contrast, typography, spacing, focus states, and keyboard accessibility in digital interfaces.
• Support designers in building accessible components and patterns within design systems.
• Evaluate design prototypes and user flows for accessibility risks before development.
• Use assistive technologies and accessibility tools to validate design decisions.
• Provide guidance on designing for users relying on screen readers, keyboard navigation, and other assistive technologies.

Experience:

• 5+ years of experience in Product Design, Interaction Design, or UX Design.
• Minimum 4+ years of dedicated experience working in digital accessibility.
• Strong knowledge of accessibility standards including Web Content Accessibility Guidelines 2.1 / 2.2.
• Hands-on familiarity with assistive technologies including:
• JAWS
• NVDA
• VoiceOver
• TalkBack
• Experience guiding designers on accessible UX patterns and inclusive interaction design.
• Hands-on experience using assistive technologies to validate accessibility considerations.
• Experience identifying accessibility issues during the design phase of product development.
• Proficiency with design and collaboration tools including:
• Figma
• Jira or Atlassian
• Experience testing accessibility elements such as:
• Screen reader compatibility
• Keyboard navigation and focus management
• Color contrast and visual accessibility
• Assistive technology usability

Skills:

• Visual accessibility
• WCAG 2.1/2.2 AAA
• UX Patterns

Education:

• Bachelor’s degree or equivalent experience.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Deepak

Email:

Internal Id: 26-04491

Key Responsibilities

Business & Revenue Growth

• Own P&L and revenue targets for the Hi-Tech vertical.
• Drive new business (hunting) with global technology, semiconductor, product engineering, and platform companies.
• Expand existing accounts through farming and cross-selling the companies capabilities.
• Identify and build pipeline for large transformation and ER&D deals.

Client & Stakeholder Management

• Act as senior client partner for strategic Hi-Tech accounts.
• Build CXO-level relationships across engineering, product, and digital leadership.
• Position the company as a strategic engineering and technology transformation partner.

Strategic Leadership

• Define go-to-market strategy for the Hi-Tech segment.
• Work closely with delivery, solutioning, and practice teams to create differentiated offerings.
• Drive market expansion in areas like Product Engineering, Digital Engineering, Cloud, AI, Embedded, and Platforms.

Deal & Governance

• Lead large deal pursuits, RFP responses, and commercial negotiations.
• Ensure governance, margin management, and account profitability.
• Track market trends, competitor landscape, and emerging technology opportunities.

Desired Candidate Profile

• 15+ years of experience in Hi-Tech / Product Engineering / Engineering Services.
• Proven track record of hunting + farming with global technology or semiconductor clients.
• Experience managing large strategic accounts and multi-million-dollar portfolios.
• Strong exposure to ER&D, Digital Engineering, Software Platforms, Embedded, Cloud, or AI.
• Demonstrated CXO engagement and large deal closure capability.

This is a multi-year contract with our direct client.

No third parties!

The Early Clinical Development (ECD) department with our South San Francisco, CA client is seeking a talented and motivated Senior AI Full Stack Engineer reporting to the Director of software engineering at The Clinical Data Insights & Automation team (CDI&A). The CDI&A team collaborates with a broad range of stakeholders involved in the clinical development process (e.g., Clinical Science, Clinical Operations, Medical Writing, Quality, Regulatory). It develops industry-leading solutions for highly complex business problems. To manage the design and pilot of these software products, they apply a high degree of ingenuity and creativity while maintaining a finger on the pulses of the rapidly changing tech and healthcare landscapes.

The Software Engineer will primarily be responsible for designing, developing, and deploying software which interacts with cutting-edge generative AI models and applications in collaboration with AI scientists, full stack developers, and others. Their work will directly impact our ability to create and deliver innovative solutions that leverage AI to solve complex problems and enhance user experiences.

The Opportunity:

• Innovate and develop software applications to support clinical development
• Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows.
• Design intuitive, user-centric interfaces.
• Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development.
• Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services.
• Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.

Who You Are:

• An experienced full stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor.
• Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice.

Minimum Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 5+ years of full stack development experience
• Strong proficiency in either a front-end framework (js, React, or similar) and a backend web frameworks in Python and/or JavaScript (Django, FastAPI, Flask, Next.js, or similar)
• 4+ years experience with front-end frameworks (preferably js)
• 2+ years of developing and deploying AI/ML solutions or applications
• Experience designing and developing RESTful APIs (with e.g. Python FastAPI).
• Familiarity with prompt engineering
• Proficiency with containerized workflows and architectures (Podman, Docker, Kubernetes)
• Strong automated software testing skills (Python unittest, jest, Playwright)
• Familiar with Agile methodologies
• Excellent analytical and problem-solving skills with a track record of tackling complex technical challenges.
• Leading system design and implementing scalable, fault-tolerant solutions for complex, distributed computing challenges.
• Strong interpersonal and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Experience with cloud platforms (e.g. AWS) and modern data platforms (e.g., Snowflake).
• Experience implementing chatbots, retrieval-augmented generation (RAG) systems, and integrating LLMs into applications (AI-assisted automation)

Preferred Qualifications:

• Experience building AI agents, fine-tuning LLM models, and evaluating bias and fairness with LLM systems
• Experience in developing Microsoft Word add-ins using js.
• Experience with web technologies like JWT, WebSockets, etc.
• Experience with Huggingface, Langchain, TensorFlow, PyTorch, or similar.
• Familiarity with DevOps, infrastructure, and continuous integration concepts.
• Familiarity with CRDT technologies like Yjs.
• Experience with using NLP/LLMs on clinical text.
• Basic knowledge of clinical drug development