Mindlance

About the Company

Founded in 1999, Mindlance is one of the largest diversity-owned staffing firms in the US and has been on SIA's list of Fastest Growing US Staffing Firms for 10 years. Mindlance has also been recognized as one of the consistently best performing partners to industry-leading MSP programs including Allegis, Kelly, TAPFIN, PROUnlimited, Pontoon, GRI, WorkforceLogiq and Agile-1. What started with contingent staffing has developed to a comprehensive portfolio of workforce solutions. Along with industry specific, talent-centric staffing across a range of specializations- Technology, Engineering, Scientific, Clinical Research, Digital, Creative, Marketing, Profession, Mindlance provides Managed Recruitment services- RPO and Direct + Diverse Sourcing, and Pay+ Services- EoR/Payroll, IC Compliance and AoR. Mindlance is also generating alternative talent pipelines that prioritize diversity through three Diverse Talent Acceleration offerings: (1) RebootTalent, a diverse returning talent acceleration service (2) Mindlance Diversphere, a private diverse talent pool aggregated from a network of diversity partnerships and (3) Quintrix Solutions, an upskilling recruit-train-deploy service. With a year-over-year growth rate of 20% and an annual revenue of over $400 million and growing, the Mindlance story is one of calculable achievement, made meaningful by the commitment to grow a mindful way that creates balance in the work and societal ecosystem. Visit www.mindlance.com to learn more about us and our latest job openings. STAFFING INDUSTRY ANALYSTS RECOGNITIONS: Fastest Growing U.S. Staffing Firms (2022, 2021, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011) Largest U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015) Largest Diversity-Owned U.S. Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015) Largest IT Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017) Largest Clinical & Scientific Staffing Firms (2022, 2021, 2020, 2019, 2018, 2017)

Listed Jobs

Company Name

Mindlance

Job Title

Java Software Engineer

Job Description

Job title: Java Software Engineer Role Summary: Develop and maintain high‑performance, scalable Java/J2EE applications for enterprise web services. Focus on core business logic, API development, and framework support while ensuring code quality and delivery in an Agile environment. Expectations: - Produce clean, maintainable code following TDD principles. - Tune performance, manage concurrency, and optimize Java garbage collection. - Communicate effectively with cross‑functional teams and document decisions. Key Responsibilities: 1. Design, implement, and refactor Java client and server components. 2. Build and maintain APIs and custom frameworks. 3. Optimize application performance: garbage collection tuning, scaling, and concurrency management. 4. Write automated tests (JUnit, TestNG), perform code reviews, and maintain high code coverage. 5. Manage build, deploy and test automation using Maven/Gradle, Ant, Jenkins or TeamCity. 6. Work with relational databases, messaging systems, and Unix/Linux environments. 7. Participate in Agile ceremonies (sprints, stand‑ups, retrospectives) and collaborate with business stakeholders. Required Skills: - 5+ years Java/J2EE and web/Internet programming experience. - 5+ years OOA/OOD, distributed systems, real‑time processing, relational DBs, and messaging. - Expertise in concurrency & multi‑threading. - Advanced knowledge of Java garbage collection and performance tuning. - Strong grasp of data structures, algorithms, and GoF design patterns. - Experience with Agile, TDD, Unix/Linux. - Proficiency with build/CI tools: Ant, Gradle, Maven, Jenkins, TeamCity, JUnit, TestNG, JaCoCo. - Demonstrated ability in core business logic development, API design, and framework creation. - Excellent written and verbal communication. Preferred Skills: - Application development frameworks: Spring, Hibernate, JSF or similar. - Experience with compilers or domain‑specific languages (DSLs). Required Education & Certifications: Not specified.

Ann arbor, United states

On site

Mid level

01-12-2025

Company Name

Mindlance

Job Title

Data Entry Specialist

Job Description

Job Title: Data Entry Specialist – Payroll Role Summary: A detail‑oriented specialist responsible for accurate and timely biweekly/semimonthly payroll processing, record maintenance, and employee payroll support within a payroll team. Expectations: * Process payroll for all employees on a biweekly/semimonthly schedule. * Perform daily and weekly audits, reconcile payroll, and support month‑end and year‑end reporting. * Maintain accurate payroll files, including hires, terminations, deductions, and benefits. * Prepare and distribute pay statements, W‑2s, and payroll reports. * Respond to employee inquiries regarding pay, deductions, and payroll policies. * Collaborate with HR and partner groups to ensure alignment across systems and processes. * Support audits and compliance reviews as required. Key Responsibilities: - Execute payroll calculations and ensure compliance with payroll policies and regulations. - Conduct daily and weekly accuracy audits and resolve discrepancies. - Update and maintain payroll records in Workday and other systems. - Generate and disseminate pay statements, W‑2s, and other required documentation. - Provide clear, professional communication to employees on payroll matters. - Coordinate with HR, finance, and other departments for data integrity and process improvements. - Assist with payroll-related audits and regulatory compliance reviews. Required Skills: - Minimum of 1 year of payroll experience or HR/accounting background with payroll responsibilities. - Strong attention to detail, accuracy, and confidentiality. - Proficiency with Google Workspace and Microsoft Office Suite; basic data‑analysis capability. - Excellent communication, customer‑service orientation, and problem‑solving skills. - Experience with Workday payroll system. Required Education & Certifications: - High school diploma or equivalent; bachelor’s degree in Accounting, Finance, or related field preferred. - Certified Payroll Professional (CPP) or Fundamental Payroll Certification (FPC) preferred (but not required).

Richmond, United states

Hybrid

Junior

05-12-2025

Company Name

Mindlance

Job Title

Identity Management Consultant

Job Description

Job Title: Identity Management Consultant Role Summary: Consultant responsible for analyzing, designing, and supporting identity and access management (IAM) solutions, primarily leveraging ServiceNow, for enterprise clients. The role involves technical documentation, stakeholder engagement, and gap analysis within a high‑pressure, client‑facing environment. Expectations: • 6‑month contract, 4 days per week onsite. • Deliverables include detailed IAM documentation, stakeholder communications, and ServiceNow configuration recommendations. • Demonstrate agility in task prioritization and responsiveness to urgent client needs. Key Responsibilities: - Perform IAM gap analysis and recommend controls and policy improvements. - Draft clear, technical documentation and user guides. - Engage with clients and stakeholders to gather requirements, provide status updates, and negotiate solutions. - Configure, test, and validate ServiceNow IAM modules. - Troubleshoot IAM and ServiceNow issues, escalating as necessary. - Coordinate cross‑functional teams to implement IAM solutions within project timelines. Required Skills: - Advanced technical writing and strong verbal communication. - Excellent stakeholder management and client‑service orientation. - In‑depth knowledge of IAM controls, policies, and threat models. - Proficient with ServiceNow IAM functionality. - Strong analytical, troubleshooting, and gap‑analysis abilities. Required Education & Certifications: - Not specified in the posting. ---

Toronto, Canada

Hybrid

08-12-2025

Company Name

Mindlance

Job Title

AI/ML Engineer

Job Description

Job Title: AI/ML Platform Engineer Role Summary: Design, build, and maintain scalable, secure AI/ML cloud platforms that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently. Expectations: Deliver robust, cost‑efficient AI/ML infrastructure; ensure reliability, performance, and security; collaborate with cross‑functional teams; continually optimize the platform. Key Responsibilities - Build and maintain AI/ML platforms on cloud with high scalability and reliability. - Develop automated pipelines for model training, validation, deployment, and monitoring. - Collaborate with data scientists, ML engineers, and stakeholders to translate needs into technical solutions. - Optimize platform cost, performance, and security. - Implement monitoring and alerting for AI/ML system health; troubleshoot incidents. - Document architecture, workflows, and best practices comprehensively. Required Skills - AI/ML platform engineering with emphasis on cloud (Azure). - Proficiency in ML frameworks: TensorFlow, PyTorch, Scikit‑learn. - Experience with Kubernetes, Docker, Helm, and Terraform. - CI/CD pipeline design and implementation. - Strong understanding of large language models (LLMs), embedding and classification models. - Knowledge of vector database chunking strategies, data storage, processing, and ETL workflows. - Familiarity with Agile methodologies and project management tools. - Excellent communication and documentation skills. Required Education & Certifications - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). - Preferred certifications: Microsoft Azure AI Engineer Associate, Azure Solutions Architect, or similar cloud/ML credentials.

Concord, United states

Hybrid

09-12-2025