Suno Ai Api Docs Jobs in Usa

6,503 positions found — Page 14

Sr. QA Engineer, tvScientific
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific


tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.



tvScientific is looking for aSenior QA Engineer for its Web Platformwith strong expertise inweb and API testing. This role requires a balance ofmanual testing excellenceandautomation skills, with a focus on validating end-to-end user flows across frontend, backend services, and APIs.


You will partner closely with frontend engineers, backend engineers, product managers, and designers to ensure our web platform and APIs are reliable, secure, and performant.



What you'll do:



  • Own and drivequalityfor web platform features, spanning UI, APIs, and backend services
  • Design and executemanual test casesandexploratory testingfor complex web and API workflows
  • Conduct thorough regression testing when bugs are resolved.
  • Build and maintainautomated test suitesfor:
  • Validatefrontend-backend integration, data consistency, and error handling
  • PerformAPI contract testing, schema validation, and negative/edge-case testing
  • Collaborate with engineers duringdesign, implementation, and code reviewsto improve testability and catch issues early
  • Integrate automated tests intoCI/CD pipelinesto provide fast, reliable feedback
  • Analyze test failures, investigate root causes, and drive issues to resolution
  • Advocate for quality best practices, includingshift-left testing, risk-based testing, and automation strategy
  • Identify, document, and track software defects using bug tracking tools like Jira.


What we're looking for:



  • Experience in QA / Quality Engineering, with a strong focus onweb platforms and APIs
  • Proven hands-on experience withmanual testingof complex, consumer-facing web applications
  • Strong experience building and maintainingAPI testsusing tools such as Postman, REST-assured, Supertest, or similar
  • Hands-on experience withweb automation frameworks(Playwright, Cypress)
  • Solid understanding ofHTTP, REST and API design principles
  • Proficiency in at least one programming or scripting language (JavaScript, TypeScript)
  • Experience working inAgile/Scrumenvironments
  • Strong debugging, analytical, and communication skills
  • Strategic partnership with stakeholders /Cross-functional collaboration that is high-trust and high-velocity
  • Nice-to-Haves:

    • Experience testinglarge-scale, high-traffic web platforms
    • Familiarity withReact or modern frontend frameworks
    • Experience withperformance, load, or reliability testingfor APIs and web applications
    • Exposure to feature flags, experimentation platforms, or observability tools




In-Office Requirement Statement:



  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.

#LI-SM4


#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$109,242—$224,910 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Gemini Enterprise SME
✦ New
Salary not disclosed
Atlanta, GA 1 day ago

Role : Gemini Enterprise SME

Location: Remote

Position Type : Contract


Role Summary

  • Seeking a Gemini Enterprise Experience Engineer to design, build, and operationalize enterprise‑grade Gemini‑powered solutions on Cloud Platform (GCP).
  • This role focuses on Gemini APIs, Vertex AI, and agentic AI frameworks to deliver secure, scalable, and production‑ready AI experiences for enterprise users.


Key Responsibilities

  • Design and implement Gemini Enterprise solutions using Gemini APIs and Vertex AI
  • Build and deploy agentic AI workflows using Agent Builder, ADK, and LangGraph‑style orchestration [Manideep M...prise 3-10 | PDF], [Clo...iew_Jerome | PowerPoint]
  • Integrate Gemini with enterprise data sources, APIs, and business systems
  • Productionize AI experiences on GCP with strong focus on security, governance, and observability
  • Collaborate with engineering and customer teams to translate business needs into scalable AI experiences


Required Skills

  • Hands‑on experience with Gemini Enterprise / Gemini APIs
  • Strong experience with GCP, especially Vertex AI
  • Proficiency in Python and API‑based AI integration
  • Experience building enterprise‑grade GenAI applications


Nice to Have

  • Experience with Agent Builder, Agent Development Kit (ADK), or Agent Engine
  • Familiarity with RAG patterns, structured outputs, and tool‑calling
  • Experience with secure or privacy‑sensitive enterprise data
  • Exposure to CI/CD and cloud‑native deployment on GCP


Experience

  • 5+ years in cloud, AI/ML, or platform engineering
  • Prior experience delivering enterprise AI solutions on Cloud preferred



Best Regards,

Bismillah Arzoo (AB)

Not Specified
Enterprise Agentic Platform Specialist
Salary not disclosed
Santa Clara 4 days ago
Enterprise Agentic Platform Specialist Santa Clara, CA
- Onsite 12 Months Contract Looking only Locals who can do Onsite Interview We are seeking an Enterprise Agentic Platform Specialist to lead the design, development, and delivery of enterprise-scale Data Science and Generative AI (GenAI) solutions.

This role will drive the implementation of AI agents, LLM orchestration frameworks, and enterprise automation pipelines, working cross-functionally with business stakeholders, data engineers, data scientists, DevOps teams, and UI developers.

The ideal candidate will combine hands-on GenAI engineering expertise with strong program delivery capabilities, ensuring solutions deliver measurable business outcomes while meeting enterprise standards for governance, security, and Responsible AI.

Key Responsibilities AI Agent and GenAI Development Lead the end-to-end delivery of enterprise data science and GenAI solutions.

Design, develop, and deploy AI agents using Microsoft Copilot Studio, Claude agent frameworks, and enterprise LLM orchestration patterns.

Implement prompt engineering strategies, grounding techniques, and Retrieval-Augmented Generation (RAG) pipelines.

Architecture and Integration Define architecture standards for agentic systems, including tool calling schemas, prompt frameworks, grounding flows, and RAG pipelines.

Translate complex workflows into modular, automated, event-driven pipelines.

Integrate AI solutions with enterprise systems via REST APIs, Power Platform connectors, and enterprise data services.

Connect Copilot Studio agents to enterprise data sources such as: SharePoint Dataverse SQL SAP Enterprise Platform Integration Oversee system integration across enterprise platforms including: ServiceNow SharePoint Microsoft Teams Power Automate Azure APIs Design MCP-based agent architectures, integration layers, authentication flows (OAuth / Microsoft Entra), and system messaging frameworks.

Governance, Security and Responsible AI Collaborate with AI architects, MLOps teams, and security teams to enforce: Responsible AI standards Data governance policies Security and access control frameworks Model safety guidelines Implement agent observability frameworks including logging, telemetry instrumentation, latency metrics, error tracking, and automated remediation workflows.

Delivery and Program Management Lead cross-functional teams delivering AI solutions across data engineering, data science, DevOps, and UX teams.

Manage delivery using Agile / Scrum or hybrid PM methodologies.

Track dependencies, risks, sprint alignment, and release orchestration.

Metrics and Performance Monitoring Define KPIs and operational dashboards for AI automation, including: Cycle time reduction Accuracy improvements Governance compliance Agent uptime and reliability Required Qualifications Hands-on experience delivering enterprise Data Science and GenAI solutions.

Experience designing and deploying AI agents using Microsoft Copilot Studio or similar agent frameworks.

Strong knowledge of LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).

Experience integrating AI solutions with enterprise platforms and APIs.

Understanding of MLOps, governance frameworks, and Responsible AI standards.

Experience working in Agile delivery environments with cross-functional teams.

Preferred Qualifications Hands-on expertise building agents in Microsoft Copilot Studio.

Familiarity with agent frameworks such as: LangChain AutoGen CrewAI OpenAI Assistants / Functions APIs Experience implementing enterprise AI observability and monitoring frameworks.

Strong understanding of enterprise security, authentication, and governance models.

Thanks Sri Vardhan Chilakamukku Infobahn SoftWorld Inc.
Not Specified
Bellwether Postdoctoral Scholar - School of Information
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Position title:
Bellwether Postdoctoral Scholar

Salary range:
The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table for the current salary scale for this position: . The current minimum salary range for this position is $69,073-$74,281. Salaries above the minimum may be offered when necessary to meet competitive conditions. A reasonable estimate for this position is $10,000 higher than the posted minimum, dependent on experience level at appointment.

Percent time:
100%

Anticipated start:
As soon as July 2026. Exact start date contingent on completion of degree and is also negotiable.

Review timeline:
Review will begin in March and finish in April.

Position duration:
2 years.

Application Window


Open date: February 13, 2026




Next review date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.




Final date: Friday, Mar 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date.



Position description

The School of Information at the University of California, Berkeley invites applications for up to three new full-time Bellwether Postdoctoral Scholars to start as soon as July 2026. The exact start date is negotiable. These positions are available for two years, and are non-renewable. J-1 visa sponsorship is available for this position.



These postdoctoral positions are for academics in the early stages of their career who demonstrate exceptional potential as a scholar and researcher. Applicants should either have completed a doctoral degree, or be able to convincingly demonstrate that they will complete the degree before they intend to start this postdoctoral position (e.g. by documenting a scheduled viva/final defense).



We are seeking applicants with active research plans in any of the following areas:



BPS 1) We seek applicants pursuing a research agenda at the intersection of computer science and applied economics, with interdisciplinary training and interests in both topics. The successful applicant will work on projects that address pressing policy issues, using a mix of quantitative and computational methods (e.g., econometrics, data science, AI/ML). Examples of active projects include, but are not limited to, developing theory and methods for robust and equitable decision making in social settings; the use of machine learning and digital data to guide resource allocation and related policies in low-income countries; and creating and validating new techniques for monitoring living standards and well-being in high-stakes policy environments. This position will be supervised by Joshua Blumenstock.



BPS 2) We seek applicants with interdisciplinary training and interests pursuing a research agenda at the intersection of information science, computational social science, and public-interest research. The successful applicant will work on projects that examine how sociotechnical information systems shape high-stakes decision-making across digital and institutional contexts to address pressing issues in information access, trustworthiness, and credibility, using a mix of computational, quantitative, and qualitative methods (e.g., natural language processing, digital trace data, surveys, and interviews). Examples of active projects include, but are not limited to, studying online communities as informal information infrastructures; analyzing how search engines and digital platforms structure the visibility and credibility of information; developing methods to monitor and contextualize misinformation and uncertainty in sensitive or politicized domains; and advancing conceptual frameworks for understanding information ecosystems as structural determinants of equity, autonomy, and well-being, including but not limited to health-related contexts. This position will be supervised by Coye Cheshire.



BPS 3) We seek applicants with active research plans in climate and sustainability informatics, leveraging information and/or information tools to empower individuals, communities, and organizations in tackling the challenges of climate change and biodiversity conservation. We welcome applicants with strong backgrounds in one or more of the following areas: remote sensing, ML, NLP, HCI, participatory design, design research, biosensory computing. The successful applicant will become a core member of the IceBerk Lab ( ), and be supervised by John Chuang, with possible co-supervision by another IceBerk faculty member where appropriate.



BPS 4) The Cultural Analytics group seeks postdoc applicants to conduct data-driven research across archival heritage and born-digital media. Current projects include, but are not limited to: (i) the study of narrative, belief and resonance, where the goal is to understand how narrative is mutually constitutive of beliefs, and how narrative resonates in and across communities of belief; (ii) extracting narrative elements from literary works, with a strong focus on complex corpora such as the Icelandic sagas to understand composition and social modeling in late medieval fiction; (iii) further developing the approach of archetyptonics along with the SOCKS project at University of Vermont's Complex Systems Center; and (iv) refining a search engine for popular dance, where the search term is the dancer's sequence of poses, here focusing on Kpop dance. Ideal candidates bridge Computational Humanities/Social Science Computing (ML, Networks, and/or Computer Vision) with a qualitative theoretical background. You will be supervised by Tim Tangherlini (with potential I-School co-supervision), and be associated with the Berkeley Institute for Data Science (BIDS) and the AI Futures Lab. We welcome applicants with active research plans ready to contribute to a vibrant, interdisciplinary environment.



BPS 5) The goal of this postdoctoral position is to contribute to the development of an empirically-backed theoretical understanding of how people understand and make sense of the combination of graphic and textual information. We seek a scholar with expertise in some combination of information visualization, the psychology of reading and/or diagram interpretation, and cognitive science or neuroscience more generally to investigate human conception at the intersection of language and information visualization. Expertise in conducting and analyzing eye gaze is a requirement of the position. Expertise or interest in multimodal information, both cognitively and in large vision and language models is a plus. The mentor for this position is Professor Marti Hearst.



BPS 6) Seeking postdoc applicants with a passion for and commitment to equity-driven co-design with local marginalized Indigenous communities. A successful applicant will work on projects that weave together Indigenous knowledge, experiences, and values that address public-facing outcomes, such as informal science education programs and exhibits at local museums and cultural centers. The applicant will help develop theory and methods for world-building equity that integrate marginalized communities' cultural and social struggles. We are seeking applicants with the following attributes: strong background in co-design with marginalized communities, design research, qualitative methods, and experience building mixed reality systems. Knowledge of Indigenous research methods is a plus. This position will be supervised by Kimiko Ryokai.



The Bellwether Postdoctoral Scholar program is designed to allow exceptionally promising young researchers the time to develop their own research while collaborating with leading established faculty. It is designed to accelerate careers, and to maximize the ability of Bellwether Postdoctoral Scholars to build independent research trajectories. To accomplish this, a portion (30-40%) of each post-doc's time will be reserved for their own independent research and publication efforts, including publishing results from their dissertation.



Additionally, all Bellwether Postdoctoral Scholars will work with a mentor or mentors on research projects in the areas listed above (60-70%), all of which are either already active or will be at the time of the start of the post-doc. All have significant publication opportunities planned.



These postdoctoral positions are research-focused and do not include teaching. However, all post-docs will be given opportunities for guest lecturing and will be expected to give public talks about their research. Post-docs will also contribute to planning and hosting public talks for others, and will be expected to be active participants in I School academic events such as research talks.



Each postdoctoral scholar will have access to up to $5,000 annually for research expenses and travel to professional conferences and research opportunities. A laptop computer will also be provided for the duration of the post-doc.



For all of the above positions, we only seek candidates with excellent research and leadership abilities and a commitment to contributing to the UC Berkeley I School and the field of information more broadly while accelerating their career.



The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. Faculty comprise a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.



The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The MIDS program trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. The MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement; and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.



UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.



School:

School: about/community



Qualifications

Basic qualifications (required at time of application)

PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.



Additional qualifications (required at time of start)

PhD (or equivalent international degree) required by start date.



No more than three years of postdoctoral research experience.



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter - 1-2 pages. Required elements of your cover letter include:



    which position(s) you are applying for (e.g. BPS1 or BPS5);

    when you would be available to start your postdoctoral work;

    a clear articulation of your fit with the UC Berkeley I School, addressing how your expertise overlaps with, enhances, or expands upon the research area indicated for your position(s) of interest. Please include names of any mentors that you would like to work with beyond the project supervisor.


  • Statement of Research - 2-3 pages. Includes a description of the focus of your planned independent research and publications during the post-doc, what resources would you need to do that work, and an explanation of how the research builds on and goes beyond work you have already done.


  • Writing Sample - Preferably a pre- or post-print of a first-authored publication.




Reference requirements
  • 3-5 required (contact information only)

We may contact your references at any stage in the hiring process unless you request otherwise. Please only provide contact information and do not request letters be sent at the time of application. Letters will be solicited for all finalists.



Apply link:
JPF05222

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Back End Engineer
✦ New
Salary not disclosed
Clearwater, FL 1 day ago

About the Role


We are seeking a Backend Engineer to help build and maintain the backend services and API’s that power our proprietary AI SaaS CRM and LMS platforms.

You will work directly with our CTO, collaborate with the engineering team, and partner closely with our Product Manager to design, implement, and maintain scalable backend systems.


Our backend services are built primarily with:

  • NestJS (TypeScript)
  • Python
  • Deployed across multiple AWS environments


This is a hands-on backend engineering role focused on API development, cloud deployment, distributed systems, and production-grade reliability.The role has meaningful ownership - not just ticket execution.


What You’ll Do

  • Work directly with the CTO on backend design and implementation decisions
  • Partner closely with a Product Manager on sprint planning, backlog grooming, translating product requirements into technical solutions, and prioritizing customer-impacting improvements
  • Design, build, and maintain backend API services using NestJS (TypeScript)
  • Build and support backend services in Python
  • Develop and maintain production-grade RESTful APIs
  • Contribute to multi-environment deployments across AWS
  • Use Terraform to manage our IAC
  • Work with CI/CD workflows and structured deployment procedures
  • Follow and contribute to engineering documentation including development guidelines, environment configuration standards, security practices, and versioning and changelog management
  • Implement and support asynchronous and event-driven systems
  • Write clean, maintainable, well-tested code
  • Participate in code reviews and maintain high engineering standards
  • Debug and resolve production issues across distributed cloud environments


What We’re Looking For (Required)

  • 5+ years of backend engineering experience
  • Strong proficiency in TypeScript and experience with NestJS
  • Strong proficiency in Python
  • Experience designing and implementing RESTful APIs
  • Experience deploying and maintaining applications in AWS
  • Familiarity with multi-environment deployments (dev, staging,UAT, production)
  • Experience working with CI/CD pipelines
  • Experience with relational databases (PostgreSQL)
  • Familiarity with Docker or containerized workflows
  • Experience working in GitHub-based workflows in a collaborative environment (pull requests, code reviews, branching strategies, and issue tracking)
  • Comfortable working in an agile environment with JIRA and Monday
  • Strong communication and problem-solving skills
  • Experience building SaaS or multi-tenant platforms


Nice to Have / Strong Plus

  • Familiarity with C# & C++
  • Experience with Dentrix, OpenDental, or other dental integration PMS’s
  • Experience building a greenfield SaaS or B2B software
  • Experience with building on a Healthcare platform
  • Familiarity with AI-enabled products or LLM integrations
  • Experience with Redis or caching strategies
  • Experience integrating third-party APIs


Why This Role Is Different

  • Direct collaboration with the CTO on backend system design
  • Close partnership with Product Management
  • Opportunity to help shape a modern, AI SaaS platform for the healthcare industry
Not Specified
QE Solution Architect
🏢 Coforge
Salary not disclosed
Houston, TX 2 days ago
  • Role: QE Solution Architect
  • Skills: GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation
  • Experience: 14 + Years.
  • Location: Houston TX.


Role Summary

We are seeking an AI-Driven Quality Engineering (QE) Solution Architect to lead the design and rollout of next‑generation, AI-enabled QE solutions powered by platforms such as GitHub Copilot (GHCP), Azure OpenAI, and intelligent automation toolchains. This role will drive RFP/proposal solutioning, lead strategic AI pilots, and deliver tangible quality, velocity, and cost benefits that accelerate client adoption of AI across the account. The architect will work closely with Sales, Delivery, DevOps, and Enterprise Architecture to position differentiated, automation-first QE solutions and enable account mining.


Key Responsibilities:

1. AI-Enabled QE Solutioning (Primary Charter)

  • Architect AI-first QE solutions leveraging GHCP, Generative AI, ML-based defect prediction, autonomous test generation, and intelligent test data creation.
  • Define AI use cases across the entire QE lifecycle—test design automation, risk-based optimization, impact analytics, and continuous validation.
  • Build reusable AI accelerators, prompts, copilots, templates, and solution kits to differentiate QE offerings.
  • Evaluate and recommend best-fit AI/QE platforms for client ecosystems including GHCP, Azure OpenAI, Selenium, Playwright, Tricentis, Katalon, and cloud-native DevOps stacks.
  • Establish governance for responsible AI usage in QE.


2. Strategic Projects, Pilots & Account Mining

  • Lead AI pilots and proof-of-value (PoV) initiatives to demonstrate measurable impact—cycle time reduction, automation uplift, defect leakage reduction, and cost efficiency.
  • Drive cross-account AI adoption by identifying areas for modernization, automation, and AI-led productivity improvements.
  • Shape new opportunities within accounts through strategic programs, capability showcases, and client workshops.
  • Develop account-specific AI roadmaps, maturity models, and transformation charters.


3. Solutioning & Pre-Sales Leadership

  • Own QE solutioning for RFPs, RFIs, and proposals, including estimation, delivery models, staffing, and differentiators.
  • Create compelling value narratives highlighting AI-enabled acceleration, automation efficiency, and quality cost reduction.
  • Represent QE in orals, client demos, and AI capability walk-throughs.
  • Build scalable solution blueprints that integrate functional, automation, performance, security, data, and AI-driven validation.


4. Quality Engineering Leadership

  • Provide architectural direction across Functional QA, UI/API automation, Performance, Security, and AI-led QE.
  • Recommend enterprise-grade QE toolchains optimized for ERP, CRM, API-led, and cloud-native digital ecosystems.
  • Drive QE modernization by introducing self-healing automation, autonomous test generation, shift-left testing, and DevOps‑integrated quality gates.


5. Collaboration, Governance & Delivery Alignment

  • Work with Delivery, DevOps, Engineering, and Enterprise Architecture to ensure solution feasibility and adoption.
  • Ensure seamless transition from solution to delivery including guardrails, scope clarity, and quality governance.
  • Align solutions with organizational cost models, margin expectations, and client value realization frameworks.


Required Skills & Experience

  • 12–15 years in QE; 3+ years in QE Architecture, AI-led QE, Solutioning, or Pre-Sales.
  • Strong expertise with GHCP (GitHub Copilot), Azure OpenAI, AI-based test generation, and enterprise automation frameworks.
  • Demonstrated experience leading client-facing AI pilots/PoVs.
  • Ability to create high-quality proposal content—estimates, assumptions, solution writeups, value metrics.
  • Excellent communication, storytelling, and stakeholder influence skills.
  • Experience working with bid teams and large transformation programs.


Preferred Skills / Certifications

  • Experience with AI/QE in ERP (SAP/Oracle/NetSuite), CRM, MuleSoft/API-led integrations, and cloud modernization programs.
  • exposure to performance engineering, application security, and DevOps pipelines.
  • Certifications: ISTQB, Agile, AWS/Azure, DevOps, GitHub, or AI certifications.
Not Specified
Boomi Integration Architect
Salary not disclosed
Alameda, CA 2 days ago

Job Title: Integration Strategy Architect Experience: 10+ years in enterprise application integration and strong expertise in Boomi Integration platform

Job Summary We are seeking an experienced Integration Strategy Architect with deep expertise in designing, assessing, and modernizing enterprise integration landscapes.

The ideal candidate will have 10+ years of hands-on experience integrating complex business applications using middleware platforms such as Boomi and other leading integration technologies.

This role requires strong architectural thinking, the ability to evaluate existing integrations, and the capability to recommend best practices, target-state architecture, and integration strategies aligned with business and IT goals.

Key Responsibilities • Define and own the enterprise integration strategy, architecture standards, and best practices • Develop and execute the Integration strategy in alignment with business objectives and IT strategy.

• Design and govern API-led, event driven, canonical data integration patterns and resilient integration solutions across ERP and surrounding enterprise systems.

• Lead integration architecture for ERP platform SAP S/4HANA and other applications like AD, UKG, Salesforce, ServiceNow, MES Systems like Camstar/OpCenter and other business applications.

• Leverage Boomi AI for intelligent mapping, transformation and integration acceleration and Identify opportunities for AI-driven design, documentation, monitoring insights and optimization.

• Analyze existing integration landscapes to: o Identify gaps, risks, redundancies, and performance issues o Recommend modernization, optimization, and rationalization strategies • Provide architectural guidance on: o Hybrid integration patterns and solutions during cloud migration phases.

o Design Boomi cloud deployment strategies, ensure high availability and disaster recovery • Establish integration governance including: o Design principles o Naming conventions o Error handling, logging, monitoring, and security standards • Collaborate with business stakeholders, enterprise architects, application teams, infrastructure teams and vendors to align integration solutions with business requirements • Mentor integration developers and technical teams on architecture standards and best practices • Support integration roadmap planning, estimation, and technical decision-making • Ensure integrations comply with security, compliance, and data privacy requirements Required Skills & Experience • 10+ years of experience in enterprise application integration • Strong hands-on and architectural experience with Boomi and at least one other major middleware platform • Proven experience integrating SAP S/4HANA with Salesforce, Web Services, API’s, UKG, MES, and other third-party applications • Strong Expertise in Boomi Atomsphere, Boomi Flows, API Management, Hybrid integration architectures (On Prem, Cloud).

• Expertise in Boomi integrations design, Error handling, Exception Frameworks and logging.

• Strong Knowledge of Atoms, Molecules, Atom clouds and deployment topologies and Proven ability to manage Environment Strategy and reuse the licenses.

• Deep understanding of: o Integration patterns (point-to-point, hub-and-spoke, ESB, API-led, eventdriven) o REST/SOAP APIs, messaging, file-based integrations, and EDI o API Security Patterns (OAUTH2, API Keys, JWT) • Experience assessing legacy integration environments and defining future-state architectures.

• Knowledge of regulatory and audit requirements (SOX, SOC- as applicable).

• Ability to translate business requirements into technical integration designs.

• Excellent documentation, communication, and stakeholder management skills.

• Experience working in large-scale, global enterprise environments.

Not Specified
Summer 2026 - QA Engineering Internship
✦ New
Salary not disclosed
Clearwater, FL 11 hours ago

About Us

We're continuing to build a transformative healthcare accreditation platform that is revolutionizing how our clients and new hospitals manage compliance, quality improvement, and regulatory processes. Our platform combines cutting-edge technology with deep healthcare domain expertise to solve real problems for healthcare organizations nationwide.


The Opportunity

The goal is to have interns turn into full time employees; Therefore, you will be given full time responsibilities day one. To add onto that, you will be working in a high velocity growth startup and will be required to move fast. You'll work directly with our engineering team on a production healthcare platform, gaining hands-on experience with enterprise-grade systems while making real contributions that impact our product and customers.


Compensation Structure: Base position is unpaid, however qualified candidates may receive upfront equity compensation based on their experience level and demonstrated capabilities. We evaluate each applicant individually and offer equity packages commensurate with their potential contribution.


What You'll Do

*During the internship you may choose the area to focus on...

Application Testing & Quality Assurance

  • Design and execute comprehensive test plans for our healthcare portal
  • Perform manual testing across web applications, APIs, and integrations
  • Identify and document bugs, usability issues, and edge cases
  • Test healthcare compliance features (HIPAA, document security, audit trails)

Test Automation Development

  • Build automated test suites using modern testing frameworks
  • Develop API testing scripts for healthcare data integrations
  • Create performance testing scenarios for document upload/processing
  • Implement continuous testing pipelines with CI/CD integration

AI/ML Quality Support

  • Collaborate with our AI team on document processing accuracy testing
  • Help validate machine learning models for healthcare document extraction
  • Design test datasets for training and validation of AI systems
  • Analyze and report on AI/ML model performance and data quality

Data Engineering Quality Assurance

  • Develop data quality monitoring and validation processes
  • Create automated checks for data integrity across MongoDB systems
  • Build dashboards and alerts for data quality metrics
  • Support ETL pipeline testing and validation

Process Improvement & Strategy

  • Analyze current QA processes and identify optimization opportunities
  • Research and recommend new testing tools and methodologies
  • Participate in technical decision-making and sprint planning
  • Document QA best practices and create team knowledge base


What We're Looking For

Required Qualifications:

  • Currently pursuing or recently completed degree in Computer Science, Engineering, or related field
  • Strong understanding of software testing principles and methodologies
  • Experience with at least one programming language (Python, JavaScript, Java, etc.)
  • Basic knowledge of databases (SQL/NoSQL) and API testing
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to work in a collaborative environment

Preferred Qualifications:

  • Experience with test automation frameworks (Selenium, Pytest, Jest, etc.)
  • Knowledge of healthcare IT, compliance requirements, or regulated industries
  • Familiarity with cloud platforms (AWS) and DevOps practices
  • Experience with data analysis, ETL processes, or machine learning
  • Previous internship or project experience in QA/testing roles

Technical Skills We'd Love to See:

  • Testing Tools: Selenium, Postman, Jest, Pytest, Cypress
  • Programming: Python, JavaScript, SQL
  • Databases: MongoDB, SQL databases
  • Cloud/DevOps: AWS, Docker, CI/CD pipelines
  • Data Tools: Pandas, data validation frameworks
  • Version Control: Git, GitHub


What You'll Gain

Professional Development:

  • Real Impact: Your work directly affects a production healthcare platform used by hospitals
  • Mentorship: Work closely with senior engineers and receive structured feedback
  • Healthcare Domain Knowledge: Learn about healthcare compliance, accreditation, and regulatory requirements
  • Enterprise Technology: Gain experience with production-grade systems, security, and scalability

Technical Skills:

  • Advanced testing methodologies and automation frameworks
  • Healthcare data processing and compliance requirements
  • AI/ML model testing and validation techniques
  • Data engineering and quality assurance practices
  • Modern DevOps and CI/CD practices

Career Opportunities:

  • Immediate Value: Potential upfront equity compensation based on qualifications
  • Strong potential for full-time conversion based on performance
  • Network with healthcare technology professionals
  • Portfolio of real-world healthcare technology projects
  • Experience that's highly valued in the growing healthtech sector


Our Tech Stack

  • Frontend: React, Modern CSS
  • Backend: Node.js, TypeScript, Python, RESTful APIs
  • Database: MongoDB, with future SQL integrations
  • Cloud: AWS (EC2, S3, Lambda, RDS)
  • AI/ML: Document processing, natural language processing
  • Security: HIPAA compliance, encryption, audit logging
  • DevOps: Docker, GitHub Actions, automated testing


Compensation & Equity

  • Base Position: Unpaid educational internship
  • Equity/Stock Compensation: Available upfront based on applicant qualifications and experience level


Our Hiring Process

We believe in a transparent and thorough selection process that respects your time while ensuring mutual fit:

  1. Initial Screening Call We'll discuss your background, experience, and career goals, while providing an overview of the role and our team culture.
  2. Technical Interview We'll have an in-depth discussion about your experience and explore related technical concepts. You should be prepared to walk through every aspect of quality assurance as it pertains to your resume.


Ready to apply? We look forward to hearing from you!

MedLaunch is an equal opportunity employer committed to diversity and inclusion.

internship
Data Analyst
Salary not disclosed
Raleigh, NC 2 days ago
Job Title: Data Analyst

Length of Contract: 6 months

Location: Remote (Eastern time zone)

What are the top 3-5 skills, experience or education required for this position:

a. Proficiency in databases (SQL) and coding in R/Python

b. Experience with API development

c. Familiarity with AI techniques and strong curiosity for new technologies

d. Experience managing and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR)

e. Code management, documentation, and version control (e.g., GitHub)

Job Overview: As a Data Analyst, you'll drive data quality and consistency in our central hub for storing OMICS data, address impactful data loading and curation projects and help improve and automate processes using agentic AI. Working closely with researchers, you'll ensure their data needs are met and help accelerate scientific discovery.

Key Responsibilities:

- Contribute to important data loading and curation projects for the departments Omics data server

- Address data quality and consistency issues in the CRISPR database.

- Apply agentic AI approaches for data loading and querying OMICS data

- Database Interaction: Use PostgreSQL to build, manage, and query large genomic datasets.

- API Development: Design and implement APIs for improved data accessibility and integration across platforms.

- Automation: Use Python and R to automate and optimize data workflows, prioritizing data quality and integrity.

- ETL Process Management: Develop and execute ETL processes to integrate high-value datasets in line with organizational standards.

- Collaboration: Work with cross-functional teams and research scientists to gather requirements, align to common data model standards, and facilitate effective data management.

- Documentation: Maintain comprehensive documentation and version control for reproducibility and teamwork.

Required qualifications:

- Master's degree in computer science, bioinformatics, or a related field, with 3+ years of relevant experience.

- Proven experience working with databases (PostgreSQL proficiency).

- Advanced skills in Python and R for automation and data manipulation.

- Experience handling and curating bioinformatics datasets (BulkRNAseq, Proteomics, scRNAseq, CRISPR).

- Code management, documentation, and usage of Github.

- Curiosity and basic knowledge of AI techniques applicable to data loading and querying.

- Excellent communication skills and a collaborative mindset.

- Demonstrated experience with AWS resources.

- Experience in API
Not Specified
Sr Software Engineer (C#, Python, React, Azure, DevOps, Security)
✦ New
Salary not disclosed
Morristown, NJ 1 day ago

Job Title: Senior Software Engineer


Reports To: Manager of Application Development



About the Role:

The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.



Responsibilities:


  • Design, implement, test, and maintain scalable, secure, and reliable applications and services.
  • Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.
  • Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.
  • Participate in architectural discussions and support incremental evolution of systems with team leads.
  • Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.
  • Translate requirements from product owners, business analysts, and stakeholders into technical solutions.
  • Identify and mitigate technical risks in assigned systems and projects.
  • Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.
  • Collaborate effectively with onshore and offshore teams to ensure successful project execution.
  • Keep abreast of industry trends and new technologies to encourage innovation.
  • Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.
  • Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.
  • Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.
  • Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.
  • Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.


Qualifications:


  • Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree preferred.
  • A minimum of 5 years in a Senior Software Engineer, Lead Developer, or similar role, with proven success delivering production systems.


Required Skills:


  • Strong understanding of software development methodologies (e.g., Agile, DevOps) and architectural frameworks.
  • Proficient in programming languages such as C#, Python; excellent problem-solving and critical thinking skills.
  • Web Development: Experience with modern front-end frameworks (e.g., React, Vue.js).
  • Mobile Development: Knowledge of mobile app development tools (e.g., Cordova, Ionic).
  • Cloud Development: Experience managing cloud-hosted applications, including Azure Functions and Event Hubs.
  • Database Management: Ability to develop and debug stored procedures, views, and tables in SQL Server and MySQL; basic database administration for data integrity and security.
  • API Development: Skilled at designing, building, and debugging APIs; experience with RESTful APIs and tools like POSTMAN and SOAPUI.
  • DevOps: Designing branching strategies; implementing and maintaining CI/CD pipelines for test automation and deployment.
  • Containerization: Experience with Docker and Kubernetes for application development and deployment.
  • Security: Understanding of secure coding and application security best practices.


Preferred Skills:


  • Ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Effective teamwork, working with cross-functional groups including developers, project managers, and analysts.
  • Strong problem-solving abilities and the capacity to make effective decisions under constraints.
  • Leadership through mentoring and influencing technical direction.
  • Adaptability to new technologies and changing environments.
  • Critical thinking in evaluating options and making informed decisions.
  • Effective time management across multiple projects.
  • Empathy for team and stakeholder perspectives to foster collaboration.
Not Specified
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