Github Openclaw Jobs Hiring Now Jobs in Usa

Job Title: GitHub administrator

Location: Beaverton, OR

Duration: 12 Months

Job Description:

• GitHub administration expertise
• Familiarity with CI/CD
• Cursor coding experience
• Golang
• Python
• Support administration of GitHub and Cursor, as well as integrations between other systems

Job Description

LeadStack Inc. is an award winning, one of the nation's fastest growing, certified minority owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.

Data Engineer Level 2

Location: Blue Ash, OH 45241

Duration: 6 months (Contractor)

Pay Rate: $55–$75/hr (W2)

Interview Process: In-person interviews required at Blue Ash, OH location.

Overview

Join our team to build modern data solutions in Azure! We're seeking a skilled Data Engineer with hands-on expertise in Databricks, Spark, Python, and cloud DataOps. You'll design scalable data pipelines, automate infrastructure with Terraform/GitHub Actions, and treat data as an enterprise asset—collaborating on CI/CD, governance, and optimization for reliable, secure analytics.

Key Responsibilities

• Analyze, design, and develop Azure-based data products, pipelines, and architecture using Databricks, Spark, PySpark, Python, and SQL.
• Optimize Spark/PySpark pipelines for performance (e.g., data skew, partitioning, caching, shuffles).
• Build and maintain Delta Lake tables/models for analytical/operational use cases, including Delta Live Tables (DLT) or Databricks SQL.
• Provision cloud/Databricks resources via Terraform (IaC) and manage GitHub-based CI/CD workflows with GitHub Actions.
• Implement Git workflows for notebooks/jobs; troubleshoot clusters, jobs, and pipelines for reliability.
• Collaborate on data governance (e.g., Purview, Unity Catalog), lineage, cataloging, and enterprise standards.
• Deploy Azure fixes/upgrades; mentor on best practices; create diagrams/specs; support stakeholders and data strategy.

Requirements

• 5+ years as Data Engineer.
• Strong hands-on with Azure Databricks, Spark/PySpark, Python, SQL, and databases.
• Experience with Delta Live Tables (DLT), Databricks SQL, Azure Functions, messaging/orchestration tools.
• Proficiency in Terraform (IaC), GitHub/GitHub Actions (CI/CD, version control).
• Azure cloud data services integration; monitoring/optimizing Databricks clusters/workflows.
• Knowledge of distributed computing (partitions, joins, shuffles); data governance tools (Purview, Unity Catalog).
• SDLC familiarity; ability to manage priorities independently.

know more about current opportunities at LeadStack , please visit us on Should you have any questions, feel free to call me on (513) 3184502 or send an email on

• 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.

We are seeking a talented Software Engineer 3 (Power BI Developer) to join a leading global financial institution on a long-term contract in Wilmington, DE. This role is ideal for someone with advanced Power BI skills, including DAX, Power Query/M, and complex data modeling, who has experience building executive dashboards and turning complex data into actionable insights. The position involves designing enterprise-level BI solutions, integrating data from multiple sources, and delivering analytics on toolchain adoption, productivity, and business impact. Candidates should have experience with platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools, and be comfortable mentoring junior team members and collaborating with cross-functional teams. This is an exciting opportunity to influence decision-making and contribute to strategic initiatives at a senior level.

Job Title: Software Engineer 3 (Power BI Developer)

Job Location: Wilmington, Delaware 19803

Job Duration: 12 months (with possible extension)

Only W2 Candidates

Join a leading global financial institution and work with some of the brightest minds in the industry. This long-term contract opportunity offers a competitive benefits package and a chance to contribute to innovative solutions in the financial services space. If you’re passionate about leveraging data to drive business impact and enjoy creating insights that influence key decisions, this role is for you.

Required Skills & Experience

• 4+ years of software engineering experience, or equivalent through consulting, training, military service, or education.
• 6+ years of Power BI experience, with at least 3 years focused on advanced development in enterprise environments.
• Proven expertise in designing BI solutions for enterprise software development ecosystems, toolchain adoption, and DevOps maturity.
• Experience connecting Power BI to various toolchain platforms (e.g., Jira, GitHub, Azure DevOps, CI/CD tools) and designing KPIs for adoption, onboarding, and usage.
• Advanced proficiency in DAX, Power Query/M, and complex data modeling for management-level reporting.
• Experience building executive dashboards covering adoption, risk, compliance, automation, productivity, and cost savings.
• Strong data integration skills, including ETL, API extraction, direct query, and on-prem/cloud data source integration.
• Deep understanding of enterprise data governance, security, access controls, and reporting best practices.
• Excellent communication skills with experience collaborating with both technical and business stakeholders.
• Demonstrated leadership in project delivery, solution architecture, and mentoring junior team members.

Desired Skills & Experience

• Expertise in enterprise DevOps, SDLC/ALM toolchains, engineering productivity tooling, or related reporting domains.
• Experience supporting executive or board-level reporting initiatives.
• Microsoft Power BI and/or Power Platform certification.
• Experience in highly regulated or financial services environments.

Key Responsibilities

• Participate in moderately complex software engineering initiatives and contribute to planning and delivery of enterprise solutions.
• Review, analyze, and resolve complex software engineering and BI challenges.
• Collaborate with engineering, operations, and transformation teams to gather requirements, define key metrics, and ensure data accuracy for management reporting.
• Architect, develop, and maintain advanced Power BI dashboards and reports focused on toolchain adoption, process maturity, and business impact.
• Serve as the enterprise subject matter expert in toolchain reporting, with knowledge of common platforms such as Jira, GitHub, Azure DevOps, and CI/CD tools.
• Develop frameworks, data models, and methodologies to assess adoption and maturity metrics (e.g., tool usage, process adherence, automation coverage, delivery impact).
• Integrate data from multiple sources—including APIs, data lakes, internal databases, and vendor platforms—into Power BI using advanced transformations and DAX.
• Deliver meaningful executive and operational insights with robust drill-down capabilities for decision-making.
• Partner with business and IT leadership to present findings, recommend actions, and evolve analytics in alignment with strategic objectives.
• Define, document, and enforce best practices for management reporting, including data governance, security, and lifecycle management.
• Mentor and coach junior engineers and analysts on Power BI and toolchain reporting best practices.
• Maintain, monitor, and continuously enhance reporting solutions as enterprise needs evolve.
• Provide occasional after-hours support for critical reporting or deployment issues.

Project description

The customer is looking for a JavaFS / Spring / C# / CSS

Responsibilities

Collaborates with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal customers, to understand requirements and develop needs according to business requirements

Maintains and enhances existing enterprise services, applications, and platforms using domain driven design and test-driven development

Troubleshoots and debugs complex issues; identifies and implements solutions

Creates detailed project specifications, requirements, and estimates

Researches and implements new technologies to enhance current processes, security, and performance

Supports the development of coding standards and adheres to best practices and security guidelines

Works closely with software architects and technical leads to ensure decisions meet long-term enterprise growth needs"

Skills

Must have

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training

5+ years of experience designing, developing, and implementing large-scale solutions in production environments TOP Skills Required: Java FullStack / focus on Front End

REACT .NET/C# SQL DataFactory UI Skills, Licenses & Certifications

Proficiency in Full Stack Development

Proficiency with the following technologies:

Programming Languages: C# required, PySpark and Python is a plus.

Frameworks: Spring/SpringBoot, FastAPI, .Net Core, .Net Framework

Front End Technologies: CSS, jQuery, AJAX, Hands on experience in Single Page Architectures such as React is required

Source Control: GitHub, Azure DevOps

CICD: GitHub Actions, Azure DevOps

Data management: PostgreSQL, MS SQL

Integration/APIs Technologies: Kafka, REST, GraphQL

Cloud Providers such as Azure

Other Dev Ops Toolchain: Selenium, SonarQube, GitHub, Kibana, New Relic 10. Proficiency in Networking and security concepts: OAuth, VNet Injection, VNet Integration, Private Endpoints, Azure Firewall 1

Proficiency in object-oriented design techniques and principles 1

Proficiency in Development Tools: Visual Studio, Visual Studio Code, SQL Server Management Studio, Azure Data Studio

Ability to concisely convey ideas verbally, in writing, in code, and in diagrams

Ability to work through others by cooperatively sharing responsibilities

Proficiency in Agile methodologies, such as SCRUM

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

We are looking for motivated developers for our intern-to-full-time track. You will be given full-time responsibilities from day one in a high-velocity growth startup environment. 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:

The base position is unpaid; however, highly 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.

About the Role

We are hiring a Backend Engineer who can design, implement, and maintain the robust, scalable server-side systems that power our platform. You will be responsible for a variety of tasks focused on data integrity, API performance, and system reliability, working on features from the database all the way through to serving the application's core logic.

Key Responsibilities

• Backend Development: Design and develop robust Node.js (TypeScript) server-side applications, build and maintain RESTful APIs, and ensure data integrity and security within MongoDB.
• Database & Data Modeling: Own the database schema design, optimization, querying, and indexing within MongoDB Atlas to ensure high performance and scalability.
• API Architecture: Define and evolve the structure of our internal and external RESTful APIs, focusing on performance, security, and maintainability.
• System Scalability: Implement caching, message queues, and distributed system concepts to ensure the platform remains performant and scalable under high load.
• Security & Compliance: Implement secure authentication systems, ensure HIPAA compliance, and maintain high security standards across the platform, especially for data at rest and in transit.
• DevOps & Quality: Develop and maintain automated backend testing, version control using Git/GitHub, and contribute to CI/CD pipelines and cloud deployment strategies.
• Cloud Infrastructure: Utilize and manage backend services within AWS (ECS, S3, Lambda) to support highly available and resilient application services.

Technical Stack

• Back-End: Node.js (TypeScript), MongoDB Atlas, AWS (ECS, S3, Lambda), RESTful APIs
• DevOps/Tools: Git/GitHub, Automated Testing Frameworks

Required Qualifications

Successful candidates must have a specific deep specialization and a foundational understanding of the others to contribute across the backend stack:

• Backend Foundation:
• 2+ years of experience with Node.js (TypeScript, API development).
• Strong understanding of modern web security, data protection, and collaborative development workflows using Git/GitHub.
• Backend Depth: Strong expertise with MongoDB (design, optimization, complex querying, aggregation pipelines) and implementing robust RESTful APIs with authentication, authorization, and error handling.
• System Design & Architecture: Proven ability to design and architect highly available, scalable, and resilient server-side applications.
• Problem Solving: Ability to debug and troubleshoot complex production issues and performance bottlenecks in the backend and database layers.

Preferred Qualifications (Nice to Have)

• Previous experience in a high-velocity team environment with separated responsibilities.
• Understanding of HIPAA compliance and working within the healthcare or other regulated industries.
• Experience with AWS services (ECS, S3, Lambda) or DevOps practices (Docker, CI/CD).
• Experience with server-side caching (e.g., Redis) or message queuing systems (e.g., SQS).

Our Hiring Process

We believe in a transparent and thorough selection process that respects your time:

• Initial Screening Call: Discussion of your background, experience, and career goals.
• Technical Challenge: A real-world technical challenge to complete at your own pace.
• Technical Interview: An in-depth discussion where you will walk through, debug, and defend your solution, demonstrating complete ownership and understanding of the entire codebase and architectural decisions—regardless of whether code was generated manually or with AI assistance.

We're looking for engineers who can think critically, adapt their approach, and truly understand the systems they build.

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  Design, implement, and manage cloud infrastructure on Azure using Terraform and Terragrunt.
  
  
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  Maintain and optimize Kubernetes clusters on Azure Kubernetes Service (AKS).
  
  
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  Build and manage CI/CD pipelines using GitHub Actions/Workflows and ArgoCD for GitOps deployments.
  
  
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  Enhance system reliability by implementing monitoring, alerting, and observability solutions with Grafana.
  
  
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  Automate operational tasks to reduce toil and improve team efficiency.
  
  
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  Participate in on-call rotations, incident response, and post-mortem analysis.
  
  
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  Collaborate with development teams to improve application performance, scalability, and resilience.
  
  
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  Implement and advocate for SRE best practices, including SLIs, SLOs, and error budgets.
  
  
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  Continuously improve system performance, cost efficiency, and security.
  
  

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  3+ years of experience in an SRE, DevOps, or cloud infrastructure role.
  
  
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  Strong experience with Azure cloud services and infrastructure.
  
  
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  Hands-on experience with java and Terraform and Terragrunt for infrastructure-as-code.
  
  
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  Proficiency with Kubernetes (preferably AKS and container orchestration.
  
  
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  Experience with CI/CD tools, especially GitHub Workflows/Actions and ArgoCD.
  
  
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  Solid understanding of observability tools like Grafana (Prometheus, Loki, Tempo experience is a plus).
  
  Education Requirements Bachelor's degree required, (Masters preferred)
  
  

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• Design and build internal tools and automation-including API linting frameworks, OpenAPI specification validators, code?generation utilities, and workflow automation-to improve consistency, quality, and efficiency across the API lifecycle.
  
• Ensure developer experience is at the center of all software created, building intuitive, reliable, and friction?reducing tools that empower API producers and consumers and simplify their workflows.
  
• Collaborate, coordinate, and align with technical stakeholders such as architecture, platform engineering, security, and API governance teams to ensure tooling meets enterprise needs and integrates seamlessly with broader technical ecosystems.
  
• Apply industry best practices to deliver secure, scalable, and maintainable solutions that align with clients engineering, security, and compliance standards.
  
• Drive development activities from design through delivery, ensuring tools and services are released on time and effectively support both API producers and consumers.
  
• Champion code quality, implementing comprehensive unit testing, functional testing, and automated validation to ensure highly reliable solutions and fast feedback loops.
  
• Demonstrate engineering excellence, consistently applying high?quality engineering practices-including clean code principles, strong testing strategies (unit, integration, functional), CI/CD pipeline integration, versioning discipline, and reliable automated deployment strategies-to ensure tooling is robust, maintainable, and production?ready.
  
• Ensure all software created adheres to strong security principles, including secure coding practices, automated security scanning, vulnerability mitigation, and alignment with enterprise security standards-ensuring tooling is safe by design, safe by default, and safe in production.
  
• Support the tech lead in evaluating and shaping technical decisions, contributing insights and execution capabilities related to tooling, automation, and developer?experience improvements.
  

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• Programming & Scripting: Java | Python | JavaScript | TypeScript, Bash / Shell Scripting
  
• API Design & Management: RESTful APIs, OpenAPI / Swagger (Specification, Validation), API Linting Frameworks, API Governance & Standards Enforcement, API Versioning Strategies
  
• Automation & Tooling: Code Generation Utilities, Workflow Automation Tools, Internal Developer Tooling, CLI Tools
  
• Testing & Quality Engineering: Unit Testing | Integration Testing | Functional Testing, Automated Validation Frameworks, Test Automation Tools, Code Quality & Static Analysis Tools
  
• CI/CD & DevOps: CI/CD Pipelines (GitHub Actions, GitLab CI, Jenkins), Automated Build & Deployment Pipelines, Artifact Repositories, Infrastructure Automation
  
• Cloud & Platforms: Cloud Platforms (AWS / Azure / GCP), Containerization (Docker), Kubernetes (optional / platform-dependent)
  
• Security & Compliance: Secure Coding Practices, Automated Security Scanning (SAST / DAST), Vulnerability Management Tools, Dependency Scanning, Compliance & Enterprise Security Standards
  
• Developer Experience (DX): Developer Tooling & Enablement Platforms, Documentation Automation, API Consumer & Producer Enablement Tools
  
• Collaboration & Version Control: Git | GitHub | GitLab, Agile / Scrum Methodologies, Issue & Work Tracking Tools (Jira, similar)