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Azure Developer Contract Jobs in Maple Shade, NJ

Slalom Consulting

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Project Based Contract Through End of Year with Likely Extension About Us Slalom is a purpose-led ... The ideal candidate is a hands-on engineer with deep expertise in MLOps, model deployment, Azure ...

Arctiq

HashiCorp Technical Consultant

Blue Bell, PA · Remote

This is a (1) year contract opportunity with one of Arctiq's client. Candidates can work remotely ... Partner with cloud engineering teams to automate provisioning across AWS, Azure, or Google Cloud ...

Mondo

Product Manager

Middle City West, PA · Remote

$55 - $66/hr

Contract, 6 months (potential Contract-to-Hire) Compensation Range: $55-66/hr on W2 ONLY (no c2c ... as Jira, Azure DevOps, Confluence, or similar platforms Experience delivering customer-facing ...

Monitise

Sr Quality Engineer

King Of Prussia, PA

$88K - $119K/yr

... Azure DevOps, Jenkins, GitLab CI) using Git-based workflows. * Deep theoretical and practical ... Experience with contract testing, service virtualization, or integration test strategies for ...

Fiserv, Inc.

Sr Quality Engineer

King Of Prussia, PA · On-site

$88K - $119K/yr

... Azure DevOps, Jenkins, GitLab CI) using Git-based workflows. * Deep theoretical and practical ... Experience with contract testing, service virtualization, or integration test strategies for ...

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All JobsAzure Developer Contract JobsAzure Developer Contract Jobs in Maple Shade, NJ

Azure Developer Contract information

See Maple Shade, NJ salary details

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How much do azure developer contract jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for azure developer contract in Maple Shade, NJ is $58.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $65.34 per hour, depending on experience, location, and employer.

What is an Azure developer contract?

Azure Developer Contracts are temporary or project-based roles where developers are hired to design, implement, and maintain solutions using Microsoft Azure cloud services. Contractors typically work on specific cloud projects, migrations, or integrations and may be engaged by companies seeking specialized expertise without a long-term commitment. These roles often require strong knowledge of Azure services, programming languages such as C# or Python, and experience with cloud architecture and DevOps practices.

What are the key skills and qualifications needed to thrive as an Azure developer on a contract basis?

To excel as an Azure Developer contractor, you need strong proficiency in cloud computing concepts, Azure services, programming languages like C# or Python, and a relevant degree or certifications such as Microsoft Certified: Azure Developer Associate. Familiarity with Azure DevOps, ARM templates, CI/CD pipelines, and cloud security best practices is typically required. Excellent problem-solving, communication, and adaptability are crucial soft skills for collaborating with clients and teams while managing dynamic project demands. These competencies ensure robust, scalable solutions and effective delivery of cloud-based applications in fast-paced contract environments.

What are some common challenges Azure developers face when working on contract projects, and how can they be addressed?

Azure Developers on contract often encounter challenges such as quickly adapting to a client's existing cloud infrastructure, integrating with legacy systems, and managing security requirements. To address these, it's important to familiarize yourself with the client's architecture early on, maintain clear communication with in-house teams, and stay updated on Azure's best practices and compliance standards. Proactively asking questions and leveraging Microsoft's extensive documentation can also help ensure a smooth onboarding and project execution.

What is the difference between Azure Developer Contract vs Azure Software Engineer?

AspectAzure Developer ContractAzure Software Engineer
CredentialsAzure certifications, development experienceAzure certifications, software development background
Work EnvironmentContract-based projects, client sites, or remoteFull-time employment, in-house or remote
Industry UsageFreelance/contract roles across industriesPermanent roles in tech companies or enterprises
Search & Comparison IntentProject-based, short-term rolesLong-term, career-oriented positions

Azure Developer Contract roles focus on short-term, project-specific work requiring Azure development skills, often on a freelance or contract basis. Azure Software Engineers typically hold permanent positions within organizations, working on ongoing projects and product development. Both roles require similar certifications and technical expertise, but differ mainly in employment type and job stability.

What cities near Maple Shade, NJ are hiring for Azure Developer Contract jobs?

Cities near Maple Shade, NJ with the most Azure Developer Contract job openings:

Azure Developer Contract jobs near you
Infographic showing various Azure Developer Contract job openings in Maple Shade, NJ as of June 2026, with employment types broken down into 2% As Needed, 41% Full Time, 51% Part Time, 2% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $120,904 per year, or $58.1 per hour.

General Information

Slalom Consulting

Philadelphia, PA • On-site

$60.50 - $78.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago

Job description

Description and Requirements
Job Description
AI/ML Ops Engineer
Location: Remote / Hybrid (Client-Facing Consulting Engagement)
Employment Type: Full-Time Consultant
Duration: Project Based Contract Through End of Year with Likely Extension
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at Slalom.com.
About the Role
We are seeking an experienced AI/ML Engineer to design, deploy, and operate production-grade machine learning and Generative AI solutions in a highly regulated enterprise environment. This role is focused on transforming validated machine learning models into scalable, governed, and monitored production systems that drive critical business outcomes.
The ideal candidate is a hands-on engineer with deep expertise in MLOps, model deployment, Azure Databricks, and cloud-native machine learning platforms. You will work within agile, cross-functional teams alongside data scientists, data engineers, and business stakeholders to deliver reliable and scalable AI solutions.
This is an opportunity to work on complex analytics challenges involving forecasting, optimization, decision support, and advanced AI applications at enterprise scale.
What You'll Do
  • Design, build, and deploy production-grade machine learning and Generative AI solutions that solve complex business challenges.
  • Own the end-to-end machine learning production lifecycle, including data ingestion, feature engineering, model deployment, monitoring, and lifecycle management.
  • Develop, maintain, and optimize MLOps pipelines using Azure Databricks, MLflow, Unity Catalog, and automated CI/CD processes.
  • Implement scalable model-serving architectures, including real-time APIs, batch inference pipelines, and feature stores.
  • Convert data science prototypes and experimental notebooks into maintainable, production-ready software solutions.
  • Collaborate with data engineering teams to ensure data pipelines, streaming architectures, and feature management platforms meet performance and quality requirements.
  • Establish and maintain best practices for model versioning, reproducibility, deployment automation, monitoring, drift detection, A/B testing, and automated retraining.
  • Build and manage online and batch model-serving endpoints, compute infrastructure, monitoring frameworks, and performance dashboards.
  • Ensure compliance with data governance, privacy, security, and responsible AI standards.
  • Communicate technical decisions, architecture patterns, and trade-offs effectively to both technical and non-technical stakeholders.

What You'll Bring
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, Data Science, or a related quantitative discipline.
  • 5+ years of hands-on experience in Machine Learning Engineering, MLOps, or related software engineering roles supporting production AI systems.
  • Demonstrated experience deploying and operating machine learning solutions in enterprise environments.
  • Strong Python development skills and proficiency with machine learning frameworks such as: Scikit-learn, PyTorch, and TensorFlow
  • Experience developing and deploying APIs and microservices using frameworks such as: FastAPI, Flask, MLflow Model Serving
  • Experience deploying and supporting both front-end and back-end applications in Azure environments.
  • Deep expertise with Azure Databricks, including Apache Spark, Delta Lake, Databricks, Unity Catalog, Feature Store, Cluster management and optimization
  • Strong hands-on experience with MLflow for Experiment tracking, Model registry, Model packaging, and Automated deployment
  • Experience implementing CI/CD pipelines using Azure DevOps and/or GitHub Actions.
  • Strong knowledge of Git-based development workflows, branching strategies, and pull request processes.
  • Experience building, packaging, and deploying containerized applications using Docker.
    • Working knowledge of Azure cloud services, including Azure Data Lake Storage Gen2 (ADLS), Azure Key Vault, Azure Monitor, Cloud cost optimization practices
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to operate independently and lead technical delivery efforts within agile, cross-functional teams.

Preferred Qualifications
  • Experience delivering Generative AI or Large Language Model (LLM) solutions in production environments.
  • Experience developing Retrieval Augmented Generation (RAG) applications and AI-powered decision-support tools.
  • Experience integrating machine learning services with user-facing applications and analytics platforms.
  • Knowledge of model governance, responsible AI practices, and regulated software development environments.
  • Experience supporting production workloads requiring high availability, scalability, and observability.

Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.
Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 80-100/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.
Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the
selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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