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Be part of an amazing story

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

Job Overview

The Tech Manager, Engineering leads the development and integration of scalable software solutions that support Macy’s omni-channel strategy. This role drives innovation in technology and process, enabling high-performing teams to deliver impactful customer experiences across platforms. By fostering collaboration and technical excellence, the manager ensures alignment with enterprise architecture and strategic goals.

What You Will Do

• Hire, coach, and mentor individuals to build a strong cross-functional organization
• Architect and build scalable software solutions aligned with enterprise standards
• Oversee software delivery, systems integration, and developer support tools
• Collaborate with technical teams to implement architecture guidelines and strategies
• Lead technology evaluations in partnership with cross-functional teams
• Manage geographically distributed engineering scrum teams using agile and DevOps practices
• Introduce innovative ideas to enhance customer outcomes and operational efficiency
• Set measurable quality goals and foster continuous engineering improvement

Skills You Would Need

• Software Architecture: Designs scalable, modern systems using best-in-class architectural patterns
• Cloud Engineering: Implements cloud-native solutions with providers such as GCP
• Infrastructure as Code: Utilizes tools like Terraform to automate infrastructure deployment
• Front-End Development: Applies frameworks such as ReactJS and Angular for user-facing applications
• Back-End Development: Develops robust services using Java and Spring frameworks
• Data Management: Applies principles of data architecture, modeling, and governance
• Agile Leadership: Leads scrum teams with agile methodologies and DevOps practices
• Technical Communication: Translates complex technical concepts for diverse audiences
• Project Ownership: Drives initiatives from concept to delivery with accountability and clarity

Who You Are

• Experienced in leading software engineering teams and mentoring talent
• Skilled in managing multiple projects and setting clear priorities
• Adept at integrating third-party solutions such as MDM, ERP, or WMS
• Comfortable working in a fast-paced, innovation-driven environment
• Holds a Bachelor’s degree; Master’s degree preferred
• Brings 8+ years of relevant technical experience
• Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

Lead Engineer – POS Foundation

Hybrid role in Irving/TX that requires 3 days in the office

We’re seeking a Lead Engineer with deep technical experience in Oracle Xstore (POS & Back Office) and a passion for creating robust, maintainable, scalable retail store foundations. In this role, you will lead the design and modernization of our POS platform - driving Xstore version upgrades, enhancing configuration frameworks, improving observability and operational excellence, ensuring global compliance, and strengthening system resilience.

You’ll serve as a technical leader, partnering with Architecture, Security, Infrastructure, Operations, Field Support, and Vendor teams to deliver high‑impact foundational improvements that reduce downtime, improve performance, and create a long-term, sustainable POS ecosystem. This position is ideal for engineers who thrive in fast‑paced retail environments, enjoy solving complex technical challenges, and can deliver high‑quality solutions that support thousands of store associates and customers.

Responsibilities

Core Platform Engineering & Modernization

• Lead Oracle Xstore development, enhancements, and lifecycle management—focusing on stability, maintainability, and scalability.
• Drive major version upgrades, patching cycles, dependency modernization, and technical debt reduction with structured rollout plans.
• Expand and optimize configuration management: store-specific overrides, tenancy handling, global/local variance, and dynamic configuration models.
• Architect and implement core services, frameworks, and extension points that other teams can build on.

Compliance, Reliability & Global Expansion

• Implement country‑specific compliance requirements—fiscalization, tax rules, receipt specifications, privacy mandates, and transaction standards.
• Work cross-functionally to ensure adherence to local regulations, certification requirements, and retail compliance frameworks.
• Improve platform-level resiliency, startup health, and recovery processes

Observability & Operational Excellence

• Enhance and standardize observability across the entire POS landscape—logs, metrics, traces, health checks, dashboards, and alerting.
• Champion operational efficiency by designing better troubleshooting tools, diagnostics, self-healing mechanisms, and automated monitoring.
• Lead incident response and postmortems, reducing MTTR and improving fleet-wide reliability.

Collaboration & Leadership

• Provide technical leadership and mentorship for engineers across POS teams.
• Drive architectural discussions, propose foundational improvements, and establish engineering best practices.
• Guide cross-team initiatives and represent the POS Foundation in design reviews, rollout planning, and vendor interactions.

Minimum Requirements:

• 7+ years of engineering experience with a strong emphasis on Oracle Xstore (POS and Back Office), including customizations and environment management.
• Proven experience performing Xstore upgrades, patching, platform migrations, and architectural modernization.
• Deep understanding of retail store POS operations, system flows, configuration frameworks, and store-level constraints.
• Strong proficiency in Java (Xstore), RESTful services, integrations, and patterns for large-scale distributed retail systems.
• Experience building or evolving observability: logging pipelines, telemetry standards, dashboards, alerting, and health checks.
• Demonstrated ability to lead large technical initiatives with multiple stakeholders.
• Excellent communication skills and an ability to work cross-functionally with Ops, Security, Infrastructure, and Field teams.

Preferred Requirements:

• Experience supporting international POS deployments involving fiscalization, tax rules, receipt formats, and local compliance frameworks.
• Strong understanding of store networking fundamentals, deployment patterns, and offline/failover strategies.
• Exposure to performance tuning, startup optimization, service orchestration, and large-scale rollout management.
• Experience with automation (PowerShell, Bash, Python) for builds, deployments, and diagnostics.
• Previous work modernizing legacy retail platforms or designing foundational frameworks.

EEO Statement:

Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.

Benefits & Perks:

Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Job Summary

We are seeking a highly skilled Integrations Engineer to design, develop, and maintain integrations across our enterprise systems. This role will be responsible for building and supporting solutions in Azure API, Azure Data Factory, Master Data Management, SSIS, and SSRS, while also analyzing business requirements and ensuring scalable, cost-effective integration strategies. The ideal candidate will help reduce third-party vendor dependency by providing strong in-house technical expertise.

Key Responsibilities

• Lead end-to-end integration projects from design through delivery.
• Architect, develop, test, and implement complex real-time and batch integrations.
• Act as subject matter expert on integration design, architecture, and best practices.
• Analyze business data requirements and produce documentation including process flows, mapping documents, and data flow diagrams.
• Run and monitor software performance tests, troubleshoot issues, and optimize integrations.
• Collaborate with IT application owners, infrastructure teams, and business stakeholders to align solutions with business needs.
• Prepare and maintain detailed technical specifications and requirements.
• Support Agile development processes and contribute to sprint planning and execution.
• Manage multiple priorities and issues in a fast-paced environment.
• Ensure change control best practices are followed for proposed solutions.
• Document bugs, identify root causes, and provide actionable resolutions.
• Provide technical support for new initiatives and integration requirements.
• Escalate recurring issues reported by service partners.
• Perform additional duties assigned by leadership.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.
• 5+ years of experience designing and leading system integrations in a mid-size enterprise environment.
• Proficiency in ETL and real-time integration with at least one ESB platform (Boomi, SSIS, Azure Integration Services).
• Strong experience with Azure API development, Node.js, React.js, CI/CD pipelines, and familiarity with SOAP and REST APIs.
• Hands-on experience with Azure Database for PostgreSQL.
• Strong knowledge of front-end and back-end programming languages (SQL, Java, HTML, .NET, scripting languages).
• Experience in Agile/Scrum environments.

This position will be the subject matter expert on all platforms that fall into category of CarMax’s® assets to ensure the protection, integrity and confidentiality of customer, vendor, employee, and business information in compliance with organization policies and standards utilizing current information security technology disciplines and industry standards. This is a unique opportunity at a Fortune 500 company and national brand to expand and develop skills beyond current endpoint or network focus to a broader skill and toolset in the security program. This opportunity provides the ability to both lead implementation and improvements while also providing the opportunity for hands-on operation across the full suite of security capabilities. The Cybersecurity Engineer performs all network and endpoint security activities necessary to ensure the safety of information systems assets and protects systems from intentional and inadvertent access or destruction under limited direction. This role interfaces with application, infrastructure, and network operations teams and develops the necessary procedures to maintain security and educates the user community. The Cybersecurity Engineer also provides metrics, status reports, and audit results for key stakeholders while driving improvements and program maturity.

Essential Responsibilities:

• Desire to keep current with technology and client industry
• Implement, develop, operate, and improve Cybersecurity solutions
• Provide functional and technical expertise on projects that require Cybersecurity services
• Gather information from the business and IT department to develop security-related processes and procedures to continuously improve the security posture of CarMax
• Assist in driving tasks and projects to successful completion through effective project management, customer interaction, and IT coordination
• Effectively triage support problems and respond with the appropriate level of urgency
• Participate in a 24x7 on-call rotation as scheduled, and the ability to perform after hours support as needed

QUALIFICATIONS:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Technical Qualifications:

• Network security technologies: Firewalls, Proxies, Network Access Controls, Intrusion Detection, Intrusion Prevention, Routing
• Familiarity with identity concepts (Authentication, Authorization, and Governance), Data Loss Prevention, Secure coding and configuration standards
• Functional proficiency with at least one coding or scripting language: PowerShell, Python, Java, JavaScript , etc
• Windows server and Linux Operating Systems
• Cloud technology (SaaS, IaaS, PaaS)
• Excellent analytical, troubleshooting, and problem-solving skills and performs well in high pressure or stressful situations
• Excellent organization and time management skills
• Excellent communication skills to include, but not limited to, verbal and written communication; delivering organized presentations; able to tailor message to the audience; and facilitate group discussions with diplomacy and seek diverse opinions
• Ability to effectively estimate the efforts of others and the impact required to accomplish requested tasks/projects

EDUCATION and/or EXPERIENCE:

• 1-5 years of experience in information security operations
• Bachelor’s Degree in Computer Science, Engineering, Cybersecurity, or a related field or equivalent alternative education, skills, and/or practical experience is required.
• Certifications: CISSP, CISA, Security+, CCNA or CCNP Security preferred

Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center and have a Hybrid work arrangement.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis.

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

Job Description

What you will do – Essential Responsibilities

• Given long term strategic goals, can lay out a path across many versions.
• Participates in and supports initiatives outside of main area of responsibility.
• High degree of influence of data product direction and has ownership over large components.
• Thinks both strategically and tactically, keeping in mind both technical goals and company goals.
• Provides technical leadership for projects including 3–4 senior level individuals.
• The data engineer will be considered a blend of data and analytics “guru.” This role will promote the available data and analytics capabilities and expertise to business unit leaders and educate them in leveraging these capabilities in achieving their business goals.
• Work with data governance team members and information stewards and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
• May be required to present at conferences to demonstrate company’s technical prowess.

Purpose of the role

Senior Principal Engineers partner with Engineers and Solution Architects to develop solutions and implement standards that ensure an unrivaled data experience. You are an expert in your craft and seen as a platform and implementation owner. You are an active contributor in the industry and have a passion for continuous learning.

Senior Principal Engineers practice hands-on development, have oversight of the technical tasks of others, and are the owners of the standards and best practices. Our Senior Principal Engineers act as a technical mentor to others and is an expert in supporting multiple areas of the business.

Qualifications and Requirements

Basic Qualifications

• Bachelor’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 8+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred or
• Master’s Degree in Computer Science, Decision Science, Engineering, Statistics, or a related field, or equivalent alternative education, skills, and/or practical experience is required and 6+ years of work experience required in data management disciplines including [data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks; multiple certifications preferred.

Preferred Qualifications

• Expert experience working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include [ETL/ELT, data replication/CDC, message-oriented data movement]
• Strong/expert experience with multiple advanced analytics tools languages such as [R, Python, Java, C++, Scala, others].
• Strong/expert experience with popular database programming languages including [SQL, PL/SQL, others] on both relational and non-relational databases.
• Strong experience with cloud data platforms such as Databricks, Snowflake
• Expert experience with data discovery, analytics, and data quality controls
• Expert experience in data modeling and ontologies
• Strong experience with microservices to Serve Data
• Strong experience in cloud platforms such as Azure, AWS, GCP

Work Location and Arrangement: This role will be based out of the CarMax Midtown office, Richmond VA or CarMax Technology Hub, Plano TX and have a Hybrid work arrangement.

• Associates based in Richmond work onsite 5 days per week.
• Associates based in Plano work onsite 2 days per week.

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 250 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

Essential Responsibilities:

• Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships
• Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations
• Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams’ achievements
• Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization
• Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles
• Develop people through effective communication and ongoing feedback
• Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis
• Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience
• Work through others to deliver resilient and scalable technology solutions that solve for complex business problems
• Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology
• Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be
• Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc.
• This role will have on-call expectations to be available for major incidents and issues that affect your team’s applications.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Optional for sponsorship needs: Master’s Degree in Computer Science, Computer Engineering, or relevant technical field
• 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering
• 5+ years’ experience managing direct reports
• 5+ years’ experience with microservices software architecture
• 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support
• 5+ years’ experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future
• Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence
• Proficient in developing in Python
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with container orchestration (Kubernetes, Docker)
• Experience communicating and working across functions to drive organization-wide solutions

Preferred Qualifications:

• Previous experience deploying large-scale applications on Azure
• Familiarity with MLOps and industry-standard machine-learning Python libraries
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Advanced AI/ML specializations (reinforcement learning, deep learning, NLP)
• Proficient in an object-oriented programming language (i.e. C#, Java)
• Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations

Software Specific Qualifications:

• Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
• Proficiency developing and debugging in Python
• Experience with Model Development and Deployment (MLFlow, Azure ML)
• Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services)
• Experience with scripting languages such as shell scripts
• Experience in DevOps practices, testing frameworks, and CI/CD
• Proficiency in version control systems (Git) for AI/ML model versioning
• Experience with container orchestration (Kubernetes, Docker)

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

About You

We are seeking a skilled and motivated COBOL Programmer to join our technology team supporting the Merchandising and Finance departments. This role is ideal for someone with strong mainframe development experience who thrives in a collaborative environment and is passionate about delivering reliable, scalable solutions.

Key Responsibilities

• Develop, maintain, and support mainframe applications using COBOL, CICS, JCL, SQL, and DB2.
• Collaborate with business analysts and stakeholders to gather and analyze requirements.
• Design and implement efficient database structures and queries to support business processes.
• Provide production support, troubleshoot issues, and implement timely fixes and enhancements.
• Participate in code reviews and contribute to continuous improvement initiatives.
• Document technical specifications and maintain system documentation.
• Work closely with cross-functional teams to ensure seamless integration of systems and data.

Required Qualifications

To be considered for this role, candidates must meet the following minimum requirements:

• Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent professional experience.
• Proven experience in software development, including:
• Requirements analysis
• Relational database design
• Production support and troubleshooting
• 5+ years of hands-on experience with mainframe technologies:
• COBOL
• CICS
• JCL
• SQL & DB2
• Strong problem-solving skills and the ability to recommend effective solutions.
• Excellent verbal and written communication skills.
• Demonstrated ability to write clean, readable, and maintainable code.
• Self-motivated with a strong desire to learn and grow professionally.

Preferred Qualifications

• Experience with Java or other modern programming languages is a plus.
• Familiarity with Agile methodologies and DevOps practices is advantageous.

Working Conditions

Location: Edison, NJ Tech Office

Onsite: 4 days per week

Remote: 1 day per week

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

A Full Stack Developer is responsible for designing, developing, and maintaining both front-end and back-end components of web applications. This role requires proficiency in a wide range of programming languages, frameworks, and tools, enabling the developer to deliver seamless and efficient user experiences while ensuring robust server-side functionality.

Key Roles

• Front-End Development: Build and maintain user interfaces using modern frameworks such as React, Angular, or Vue.js and Static Web Apps.
• Back-End Development: Design and implement server-side logic, APIs, and databases using languages such as Node.js, Python, Java, or .NET.
• Collaboration: Work closely with UX/UI designers, product managers, and other developers to translate requirements into technical solutions.
• Cloud Development: Use Azure cloud to develop end to end applications to support data sceince projects.
• Testing and Debugging: Write and execute unit, integration, and end-to-end tests; identify and resolve bugs in both front-end and back-end code.
• Deployment: Manage application deployment, monitoring, and scaling using cloud services or on-premises infrastructure.
• Continuous Improvement: Stay up to date with industry trends, best practices, and emerging technologies to continuously improve application performance and development processes.

Responsibilities

• Develop, test, and maintain scalable web applications from concept through deployment.
• Design and manage databases, ensuring data integrity and security.
• Integrate third-party APIs and services as required by project needs.
• Familiarity working with data science teams to develop dashboards and applications.
• Write clean, maintainable, and well-documented code adhering to team standards.
• Participate in code reviews and provide constructive feedback to peers.
• Troubleshoot, debug, and upgrade existing applications.
• Optimize applications for maximum speed and scalability.
• Ensure cross-platform compatibility and responsiveness of applications.
• Collaborate in agile development teams, participating in sprint planning, stand-ups, and retrospectives.
• Contribute to the design and implementation of DevOps practices, including CI/CD pipelines.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks.
• Strong background in Azure full stack development.
• Strong experience with back-end programming languages and frameworks.
• Knowledge of database management systems (SQL and NoSQL).
• Familiarity with version control systems, preferably Git.
• Experience with RESTful API design and integration.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a collaborative team.
• 2+ years of experience.

Preferred Skills

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of security best practices in web development.
• Familiarity with Agile methodologies.

Job Title: Sailpoint Engineer/Developer

Location: Remote/Chicago, IL or Dallas, TX

Duration: 06 months+

Contract Description:

• Design and implement identity governance and administration (IGA) solutions using SailPoint, including Identity Security Cloud (ISC).
• Customize workflows, rules, certifications, and lifecycle processes to meet business and security requirements.
• Integrate SailPoint (ISC, IdentityIQ, and/or IdentityNow) with enterprise applications, directories, and target systems.
• Ensure compliance with security, audit, and regulatory standards related to identity and access management.
• Enhance overall security posture and user experience through optimized identity lifecycle and access governance.

Qualifications:

• Proven experience as a SailPoint Developer in an enterprise IAM/IGA environment.
• Strong hands-on experience with SailPoint Identity Security Cloud (ISC) and IdentityIQ and/or IdentityNow.
• Experience customizing workflows, connectors, and integrations using Java, Beanshell, and REST APIs.
• Solid understanding of identity governance, access controls, and compliance frameworks.
• Must be able to work onsite the first week in either Dallas, TX or Chicago, IL.