Odoo Git Repository Jobs in Usa

Compensation

$170k-$225k

0.17%-1.04%

TLDR

We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.

Our Market

The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.

Over 50% of critical prescriptions are abandoned due to:

• Cost barriers: Patients with high copays are 5x more likely to abandon treatment
• Insurance maze: Complex prior authorizations block access
• Logistical challenges: Coordinating medical visits for treatments

Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.

Why Join?

• Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
• Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
• Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
• Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
• Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.

Required Skills

Technical skills:

• Proficiency with Node, Typescript, and Python.
• Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
• Experience in API design, implementation, and documentation
• Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
• Experience working with CI/CD systems and good DevOps skills a nice to have
• Excellent documentation and testing habits
• Proficiency with version control (Git)

Soft skills:

• 10x mindset - you’ll be among the first engineering hires!
• You are a fun human!
• Good time management and planning skills

Experience

4-7 years of experience (or equivalent) as a software engineer.

We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.

• You are able to work with the rest of the team to:
• 
  
• Define priorities
• Suggest good solutions
• Excel at implementation
• You pick up concepts quickly, pattern match on past problems.
• You are obsessed with speed and quality, and help embed that quality into the rest of the team.
• You are self-directed, and do not need help organizing / prioritizing your time.

Specific project experience

• Nice if you have worked on distributed architectures in the past, but not a strict requirement.
• You must have experience working on projects touching many parts of a large codebase.

Senior Staff Full Stack Engineer – Platform

Location: San Francisco (Hybrid)

Employment Type: Full-time, Permanent

About the Company

Our client is a well-funded, high-growth technology company building AI-powered software used by large enterprise customers in complex, regulated environments. The organisation is focused on improving operational efficiency and decision-making through intelligent automation and advanced data systems.

Backed by leading investors, the company is scaling rapidly and investing heavily in its engineering platform to support continued product expansion and customer growth.

Role Overview

We are seeking an experienced Senior/Staff Full Stack Engineer to join a growing platform engineering team. This role will focus on building and scaling the core systems, internal tooling, and shared services that underpin the company’s product suite.

You will play a key role in architectural decisions, system design, and engineering best practices while working across backend and frontend technologies in a distributed, high-performing team.

Key Responsibilities

• Design, build, and maintain scalable full stack applications and shared platform services
• Develop robust APIs and backend systems using modern frameworks
• Contribute to frontend development using contemporary web technologies
• Partner with product, design, and cross-functional stakeholders to deliver high-impact features
• Improve system performance, reliability, and scalability
• Uphold strong engineering standards across testing, security, and maintainability
• Contribute to architectural discussions and mentor other engineers where appropriate

Requirements

• 8+ years of experience in full stack software engineering
• Strong proficiency in JavaScript/TypeScript and Python (or comparable modern languages)
• Experience designing and building RESTful APIs and distributed systems
• Familiarity with relational and NoSQL databases
• Experience with automated testing (unit and integration)
• Strong understanding of modern software development practices and version control (Git)

Nice to Have:

• Experience working in regulated or enterprise environments
• Exposure to cloud-native architectures and scalable infrastructure
• Background in performance optimisation or systems reliability

This is an opportunity to join a mission-driven organisation at an exciting stage of growth, with meaningful ownership and technical influence from day one.

For more information or to apply, please contact Sam Shinner at Discover International.

Compensation

$170k-$225k

0.17%-1.04%

TLDR

We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.

Our Market

The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.

Over 50% of critical prescriptions are abandoned due to:

• Cost barriers: Patients with high copays are 5x more likely to abandon treatment
• Insurance maze: Complex prior authorizations block access
• Logistical challenges: Coordinating medical visits for treatments

Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.

Why Join?

• Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
• Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
• Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
• Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
• Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.

Required Skills

Technical skills:

• Proficiency with Node, Typescript, and Python.
• Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
• Experience in API design, implementation, and documentation
• Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
• Experience working with CI/CD systems and good DevOps skills a nice to have
• Excellent documentation and testing habits
• Proficiency with version control (Git)

Soft skills:

• 10x mindset - you’ll be among the first engineering hires!
• You are a fun human!
• Good time management and planning skills

Experience

4-7 years of experience (or equivalent) as a software engineer.

We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.

• You are able to work with the rest of the team to:
• 
  
• Define priorities
• Suggest good solutions
• Excel at implementation
• You pick up concepts quickly, pattern match on past problems.
• You are obsessed with speed and quality, and help embed that quality into the rest of the team.
• You are self-directed, and do not need help organizing / prioritizing your time.

Specific project experience

• Nice if you have worked on distributed architectures in the past, but not a strict requirement.
• You must have experience working on projects touching many parts of a large codebase.

Immediate need for a talented USA-Systems Engineer III (IT). This is a 08+ Months Contract opportunity with long-term potential and is located in Waltham, MA (Hybrid). Please review the job description below and contact me ASAP if you are interested.

Job ID:26-06360

Pay Range: $60 - $85/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Design, develop, deploy, and operate production‑grade AI/ML systems and data pipelines in an agile environment.
• Build, maintain, and optimize CI/CD pipelines using GitHub Actions to enable automated testing and deployment.
• Deploy and operate applications on Kubernetes using GitOps practices (e.g., ArgoCD).
• Develop user‑facing applications through APIs and/or graphical interfaces.
• Deploy predictive models into production environments with a strong focus on reliability, scalability, and observability.
• Build and optimize compute pipelines supporting data processing and model training.
• Collaborate closely with data scientists, computational biologists, and vaccine researchers to translate scientific needs into robust digital solutions.
• Actively participate in agile ceremonies and contribute to continuous improvement of team practices.
• Ensure high standards for code quality, documentation, and knowledge transfer.
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.

Key Requirements and Technology Experience:

• Skills-Experience in agile environments, with proven experience deploying and operating applications in production, and Python programming skills
• Experience with GitHub Actions and CI/CD pipeline implementation, Kubernetes-based container orchestration, and GitOps practices (ArgoCD or equivalent). DevOps, automation
• Experience in Production deployment of machine‑learning models and MLOps practices, API and/or web application development, and familiarity with major cloud platforms (AWS, Azure, or GCP)
• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related field. Advanced degrees are valued but not required.
• Minimum of 5 years of professional software engineering experience.
• Demonstrated delivery of production‑level systems with measurable impact.
• Strong experience working in agile environments with a customer‑oriented mindset.
• Proven experience deploying and operating applications in production.
• Technical Skills:
• GitHub Actions and CI/CD pipeline implementation.
• Kubernetes‑based container orchestration.
• Git Ops practices (Argo CD or equivalent).
• Strong Python programming skills.
• API and/or web application development.
• Production deployment of machine‑learning models and ML Ops practices.
• Familiarity with major cloud platforms (AWS, Azure, or GCP).
• English: fluent (mandatory). French: nice to have.
• Experience in pharmaceutical, biotechnology, or life‑sciences environments.
• Awareness of drug discovery, vaccine development, or experimental sciences.
• Experience with workflow orchestration tools such as Meta flow.
• Experience in mentoring or technical training.
• Contributions to open‑source or technical communities.
• Experience designing scalable data engineering solutions.
• Manager's Note:-Hybrid working model with a minimum of three days per week on site in Waltham, MA.
• Agile and fast-paced team environment focused on rapid iteration and delivery.
• Strong cross‑functional collaboration across Vaccines R&D, Digital, and CMC.
• Open to candidates willing to relocate at their own expense
• Free parking site
• Possibility of extension, with a gap in work at the end of year (Nov/ Dec) and restart work in January
• English: fluent (mandatory)
• Primary Manager sits in France, local team will be present in EU and US
• Team is building a system of predictive models
• Software Engineer, previous experience moving models in to prediction

Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. 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.

By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

If interested in position, please fill out this form: description

Join the Future of Healthcare at MedWatchers

MedWatchers is a technology-forward leader delivering integrated care solutions that improve lives across Medicare, Medicaid, and Commercial markets. With a growing portfolio of 30+ clinical service lines and a flexible delivery model—ranging from full SaaS, hybrid solutions, to fully delegated services—we help payers close gaps, enhance outcomes, exceed quality benchmarks and demonstrate clear return on investment (ROI) through data-backed interventions.

Our comprehensive suite includes:

• CMAPP, our cloud-based care management platform
• Advanced analytics and risk-based targeting to derive ROI
• Omnichannel member and provider engagement
• Clinical services delivered by a team of 180+ licensed pharmacists, fluent in 30+ languages and dialects

We’re trusted by over 60 national and regional health plans—including the six largest payers in the U.S.

As we scale, we’re expanding our San Diego-based Technology Team across multiple positions. We’re hiring engineers and scientists to build impactful products and develop the next generation of intelligent healthcare technology in San Diego.

Software Engineer (various levels)

Roles: Software Engineer, Product Technologist, Full Stack Developer (Title and level will be commensurate with your education and experience)

Location: Onsite – San Diego, CA (No remote)

Salary Range: $160,000– $200,000 (based on experience and skills) + Annual Bonus

PHD required in Computer Science, Data Science, Engineering, or a related field

Overview

Join our San Diego-based engineering team to design and build robust, scalable technology platforms that support clinical workflows, member engagement, and real-time healthcare analytics. You’ll work across the stack, collaborating with product, data, and clinical teams to deliver impactful features in a fast-moving, mission-driven environment.

Key Responsibilities

• Develop and maintain full-stack web applications with clean, testable code
• Design and implement RESTful APIs and backend services
• Build responsive, component-based user interfaces using modern JavaScript frameworks
• Work with cloud-native tools and infrastructure for scalable deployment
• Participate in code reviews, technical design discussions, and agile ceremonies
• Collaborate cross-functionally with product managers, clinicians, and data teams
• Ensure performance, reliability, and security of deployed applications
• Contribute to platform architecture decisions as the product scales

Representative Technologies (familiarity with similar tools is welcome)

• Frontend: JavaScript (React, Angular, Vue)
• Backend: Node.js, Express, Python (Flask, FastAPI), Go, Rust
• Databases: PostgreSQL, MongoDB, Redis
• Cloud Platforms: AWS, Azure, GCP
• DevOps & Tooling: Git, CI/CD pipelines, Docker, Kubernetes

Ideal Experience

• Strong programming fundamentals and debugging skills
• Proven experience in full-stack application development
• Familiarity with modern deployment workflows and cloud services
• Agile team collaboration and iterative product delivery
• Bonus: Exposure to healthcare data, APIs, or workflows

We offer a comprehensive benefits package, including:

• 401(k) with company matching
• Health, dental, and vision insurance
• Paid time off (PTO)
• Tuition reimbursement
• Employee discounts

Job Title – Tech Lead, SFDC

Location – SFO- Bay Area, CA - Hybrid

Duration – Long Term Contract (C2C, W2)

We are looking for a Salesforce Technical Lead with strong Healthcare Cloud experience who is highly hands-on and comfortable with Apex coding, complex SOQL queries, and custom development.

Key Responsibilities:

- Lead end-to-end Salesforce implementations with a focus on Salesforce Health Cloud

- Design and develop custom Apex classes, triggers, batch/queueable jobs, and complex SOQL/SOSL queries

- Build and optimize Lightning Web Components (LWC) and Aura components

- Perform hands-on development while mentoring junior developers and reviewing code

- Design and implement integrations using REST/SOAP APIs, Platform Events, and middleware

- Ensure data security, compliance, and HIPAA standards in healthcare solutions

- Own technical architecture, troubleshooting, and performance optimization

- Collaborate closely with business stakeholders, product owners, and cross-functional teams

Required Skills & Experience:

- 13+ years of Salesforce experience with 5+ years as a Technical Lead

- Strong expertise in Salesforce Health Cloud

- Expert-level Apex development, including triggers, async Apex, and governor limit optimization

- Advanced experience writing SOQL queries and handling large data volumes

- Hands-on experience with LWC, Visualforce (as needed), and Salesforce flows

- Experience integrating healthcare systems (FHIR, HL7, EHR/EMR preferred)

- Solid understanding of Salesforce security model, data sharing, and compliance (HIPAA)

- Experience with CI/CD, DevOps tools, and source control (Git)

Role:

Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.

Location: New Haven, Connecticut

Responsibilities:

• Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
• Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
• Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
• Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
• Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
• Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
• Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
• Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.

Qualifications:

• 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
• Bachelor’s in CS, Engineering, Physics, or a related field; Master’s preferred.
• Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
• Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
• Strong facilitation and communication skills.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
• DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
• Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
• Willing and able to travel and work on active jobsites.

Job Title: Sr. Automation Engineer

Location: Hillsboro, OR

Duration: Long Term

Job Summary

Panasonic Avionics Corporation is seeking Senior Automation Engineers to lead and enhance advanced automation solutions for embedded and UI-driven systems. The ideal candidates will bring deep expertise in Python-based automation, Robot Framework, and QNX environments, with a strong focus on scalable test architecture, framework migration, and high-volume regression execution. This role requires hands-on technical leadership, cross-layer debugging skills, and collaboration within complex embedded and aviation-grade systems.

Mandatory Technical Skills

(Minimum 5+ years of hands-on experience in each)

• Python automation using Pytest or Robot Framework
• QNX OS (POSIX-compliant systems)
• UX/UI Automation & Testing

Key Responsibilities

• Design, architect, and enhance scalable automation frameworks using Python and Pytest.
• Perform migration of automation assets from Robot Framework to Python/Pytest, ensuring feature parity and long-term maintainability.
• Analyze and interpret large Robot Framework keyword libraries and enable reuse within Python-based executions.
• Optimize hybrid execution models involving both Pytest and Robot Framework assets.
• Develop wrapper layers, fixtures, utilities, and reusable automation components.
• Independently debug complex cross-layer automation issues spanning Python, Robot Framework, QNX OS, and device-level tools.
• Integrate automation frameworks with CI/CD pipelines using tools such as Jenkins, GitLab CI, or Azure DevOps.
• Execute and maintain UI and device automation using Appium, Selenium, or equivalent tools.
• Enforce modular test design principles, including page-object and page-keyword patterns, to ensure long-term automation maintainability.
• Mentor junior engineers and uphold automation design, coding standards, and best practices.

Required Qualifications

• 5+ years of hands-on experience with Python automation and Pytest.
• Strong practical experience with Robot Framework, including keywords, resources, variables, and test structuring.
• Proven experience managing and maintaining large keyword repositories (1000+ keywords).
• Experience working with QNX OS, POSIX systems, Hypervisor-based virtualization, and Cloud environments (AWS).
• Solid understanding of Git version control, branching strategies, and CI/CD workflows.
• Experience with UI and device automation tools such as Appium and Selenium.
• Strong analytical, debugging, and problem-solving skills with the ability to work independently.
• Excellent communication skills and experience working in cross-functional teams.

Preferred Qualifications

• Experience in mobility, embedded systems, aviation, or high-volume regression environments.
• Exposure to automation framework migration, cross-framework interoperability, or keyword reuse models.
• Bachelor’s degree in Computer Science, Electronics, Engineering, or a related field.