Business Applications Engineer
Brentwood, TN

Hybrid - 3 days onsite/2 days virtual

About the Role

The Business Applications Engineer is on the Business Systems team and partners with others on the Business Systems, Data & Analytics, IT, and other Business teams (Operations, Patient Access, Billing, Clinical/Pharmacy, etc.) around the organization to develop, test, and deploy automated event/timed based processes that support our core practice management system (hosted in Azure) and our other core business systems. This role is vital to the success of enhancing current business processes to be more effective through technology.

What You'll Do

• Partner with Business Systems to lead active development of our workflow management tech processes in Azure Cloud that will drive workflows in our core practice management system, Unlimited Financials.
• Facilitate & lead unit testing of developed logic within the Business Systems unit to prepare for UAT.
• Partner with Business Systems leaders & analysts on intake requests, requirement gathering, scoping, and iterative UAT sessions to finalize the new build or enhancement.
• Develop a standardized troubleshooting, bug fixes, & optimization process internally for the existing workflow management technical processes.
• Develop processes for workflow & security monitoring to mitigate exposure & downtimes.
• Develop application downtime processes & recovery plans.
• Become the technical subject matter expert on all existing/future workflow tech process in our Azure environment for while mentoring other junior members on the team to develop their skills in the area.
• Document & enforce a strict SDLC process for our workflow management process and any other processes that fall under the role, including development, testing & deployments.
• Become the Azure Cloud Applications subject matter expert of the company beyond our workflow management process to promote other areas of optimization leveraging Azure Cloud Applications & Services.

What We're Looking For

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Cloud Computing, or a related technical field or equivalent years of relevant experience.
• Minimum of 3–5 years of experience designing, developing, or supporting applications and automated workflows within a Microsoft Azure cloud environment.
• Demonstrated experience developing and maintaining Azure-based automation and integration solutions, including services such as Azure Logic Apps, Azure Functions, and related Azure application services.
• Experience working with Microsoft SQL Server or other relational databases, including writing queries and supporting data integrations.
• Experience working with data and integration formats such as JSON and XML and integrating systems using APIs or web services.
• Working knowledge of at least one modern programming language such as Python, C#, JavaScript, F#, or Java.
• Experience participating in software development lifecycle (SDLC) processes including requirements gathering, development, testing, deployment, and troubleshooting.

Preferred Experience:

• Experience with Unlimited Financials (UF) is a plus
• Microsoft Azure Developer Associate certification (preferred or ability to obtain within a defined timeframe).
• Microsoft Azure DevOps Engineer Expert
• Microsoft Azure Solutions Architect Expert

Core Competencies:

• Analytical problem solving and troubleshooting
• Attention to detail and quality assurance in system development
• Clear technical documentation and communication skills
• Ability to collaborate with cross-functional technical and business teams
• Ability to manage multiple technical priorities and support operational needs

Functional & Technical Skills:

• Azure Cloud application development and workflow automation
• Integration of enterprise systems through APIs and automation tools
• SQL database querying and data integration
• System monitoring, troubleshooting, and performance optimization
• Documentation and adherence to structured development and deployment processes

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

What You'll Do:

• Participate fully in the Solutions Engineering Academy bootcamp, mastering core product knowledge, sales methodologies, and demonstration techniques.
• Shadow and support the Commercial sales team throughout the sales cycle, including discovery calls and technical discussions, in preparation for a client-facing role.
• Conduct internal practice demonstrations of the Motive product offering, effectively showcasing our core value proposition, specifically the capabilities driven by Artificial Intelligence and Machine Learning.
• Develop expertise in Motive's integrated platform, spanning IoT hardware (in-vehicle devices, sensors), cloud-based data aggregation, and AI/ML features that automate complex operational workflows.
• Learn to successfully match customer pain points and requirements to proposed solutions, articulating clear business benefits and foundational return on investment (ROI).
• Rapidly become a subject matter expert on Motive’s current product offering and future roadmap.
• Collaborate closely with the Product Team to provide feedback from the field and assist with training on new feature releases.
• Act as a technical liaison during the training phase between the sales team and various internal organizations, including Product, Engineering, and Customer Success, ensuring seamless information flow.
• Prepare and deliver technical presentations and mock proposals that clearly articulate the value and functionality of Motive's solutions.

What We're Looking For:

• Bachelor's Degree required
• 0-1 years of professional experience. Internship experience in a pre-sales, technical support, or customer-facing role is a significant plus.
• A strong desire and ability to quickly learn complex SaaS and hardware solutions, paired with a genuine interest in experimenting with and understanding how AI/ML models and IoT devices operate in real-world environments.
• Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts in an understandable way.
• Proven analytical and problem-solving skills, with the ability to understand customer challenges and propose effective technical solutions.
• The ability to quickly connect technical solution features to tangible business outcomes and value.
• A strong desire to learn, grow, and execute in a dynamic and fast-paced environment.
• Interest in the Transportation & Logistics industry is beneficial.

About the team/role

As the Staff Knowledge Base Specialist, you will be a senior contributor to the knowledge systems that enable both Checkr's human and digital workers to resolve issues accurately and efficiently. This is a senior individual contributor role within Shared Services, responsible for leading complex, cross-functional knowledge programs that span department boundaries and directly shape the quality of agent-assisted and AI-driven resolution at scale. You will set strategy, clarify goals, and independently drive programs from initiation to measurable outcomes.

Knowledge at Checkr serves a dual audience: human agents who rely on clear, actionable content to resolve complex cases, and AI agents that retrieve, reason over, and act on that same knowledge base autonomously. This role requires mastery of both dimensions. You will design content that is clear and actionable for human agents while simultaneously being structured for accurate AI retrieval, optimized for fast search, and enriched with metadata that drives correct segmentation and response logic. You will also build, manage, and iterate on AI workforce agents that accelerate knowledge operations, treating them as members of your toolkit the same way you would a contractor or vendor.

Our ideal candidate brings a rare combination of disciplines: the precision of a technical writer, the systems thinking of an information architect, and the LLM fluency of a prompt engineer. You have hands-on experience building knowledge for RAG-based AI systems, a sharp instinct for the content gaps that cause agent escalations and model hallucinations, and the ability to drive alignment across engineering, product, quality, and operations partners. You thrive in ambiguity, mentor peers, and balance department impact with broader company objectives. You are startup-minded: comfortable building from scratch, owning ambiguous problems end to end, and leveraging AI agents as force multipliers to drive outcomes at a scale beyond what manual effort allows.

This role is based in Nashville, TN and requires periodic travel (<25%) to connect with teams across Checkr office locations in San Francisco and Denver.

What you'll do

• Design and drive Checkr's agent-facing knowledge architecture: content structure, chunking strategy, metadata schema, retrieval optimization, and decision logic encoding for both human and AI agent consumption.
• Independently lead complex, cross-functional knowledge programs from initiation to delivery, coordinating with product, engineering, quality, and operations stakeholders to set strategy and achieve program goals within planned timeframes.
• Build, deploy, and manage AI workforce agents that execute knowledge operations tasks, including content audits, metadata enrichment, quality checks, and triage workflows, owning agent performance and iterating on prompts, logic, and guardrails to improve outcomes.
• Define and enforce authoring standards that serve a dual audience: content readable and actionable for frontline BPO agents, and structured for accurate, low-latency AI retrieval.
• Design and manage analytical workflows, including AI assisted triage, to surface knowledge gaps from escalation patterns, quality scores, and conversation failure logs.
• Proactively identify and anticipate risks and gaps in the knowledge ecosystem, including content that misleads agents, creates compliance exposure, or degrades AI performance; propose and execute next steps without waiting to be directed.
• Build and maintain metadata frameworks that ensure knowledge is correctly segmented across agent types, customer tiers, product lines, and support workflows.
• Partner with AI/Product and Engineering teams to surface knowledge-side limitations affecting agent and AI resolution quality, influence prompt design, and advocate for platform enhancements.
• Identify opportunities across agent and AI performance data to drive continuous improvements to content standards, knowledge architecture, and intake processes.
• Serve as a trusted cross-functional partner to Quality, Training, Service Design, and frontline operations teams, translating frontline agent experience needs into knowledge improvements.
• Mentor Knowledge team members on agent-aware and AI-aware authoring practices, providing clear, specific feedback and coaching to build team capability.

What you bring

• 5+ years of experience in knowledge management, information architecture, technical writing, or content operations, with demonstrated progression in scope and complexity.
• 2+ years of hands-on experience building knowledge for AI systems, including chunking strategies, metadata design, retrieval accuracy improvement, and hallucination reduction in a RAG-based environment.
• Experience designing content for a dual audience: human agents who need clear, scannable, actionable content and AI systems that require precision structure for accurate retrieval and reasoning.
• Hands-on experience building and managing AI agents or automated workflows (e.g., prompt chains, decision agents, RPA sequences) to execute operational tasks at scale.
• Proven ability to independently lead complex, cross-functional programs, balancing department priorities with broader company objectives and driving outcomes without direct authority.
• Fluency with leading LLMs (GPT-4, Claude, Gemini) and Gen AI concepts including RAG, agentic AI, chain-of-thought prompting, decision flows, and vector search.
• Strong systems thinking: ability to trace how a knowledge gap, metadata error, or unclear procedure propagates into agent escalations, AI failures, and customer experience degradation.
• Analytical mindset with comfort reading quality scores, latency logs, and accuracy data to diagnose root causes and design targeted solutions.
• Track record of proactively identifying risks, leading retrospectives, and implementing process improvements that prevent recurring issues.
• Demonstrated ability to mentor and coach more junior team members; experience leading external contractors is a plus.
• Exceptional written communication: able to produce clear, actionable content for agent-facing audiences and translate complex AI-system concepts into standards and recommendations for varied stakeholders.
• Preferred: Experience with Zendesk or Salesforce knowledge bases.
• Preferred: Background in support operations or conversation design.
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes

What you'll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Job Summary

• Develops, creates, maintains, and writes/codes new (or modifies existing) computer applications and software solutions supporting enterprise and government systems. Designs and implements scalable web-based applications using C#/.NET technologies, including ASP.NET Core and RESTful APIs. Develops and integrates APIs to support system interoperability across multiple platforms and services. Supports full software development lifecycle activities including requirements gathering, system design, development, testing, and deployment in Agile environments. Contributes to application modernization efforts and cloud-based solutions, ensuring performance, scalability, and security. Supports development of user-facing applications and backend services, as well as documentation and system deliverables.

Key Skills & Experience 

• Five (5+) years of experience as a Software Engineer in programs and contracts of similar scope, type, and complexity is required.
• Strong experience with C#, .NET, ASP.NET Core, and Web API development.
• Experience developing web-based applications using HTML5, CSS, JavaScript, and frameworks such as Angular or React.
• Experience designing and integrating RESTful APIs and working with microservices architectures.
• Experience working within Agile development environments and participating in full SDLC activities.
• Experience with database design and development using SQL Server or similar relational databases.
• Experience deploying and supporting applications in cloud environments such as Azure or AWS.
• Familiarity with DevOps practices including CI/CD pipelines, Docker, Kubernetes, and infrastructure as code tools such as Terraform.
• Experience working in secure environments and implementing security best practices within applications.

Education, Certifications, & Credentials

• Bachelor of Science (BS) Degree in Computer Science, Information Technology (IT),
  Cybersecurity, or Engineering related field.
• Active Q clearance required. 
• Candidates with TS/SCI clearance can be switched over to Q clearance easily

*All duties and responsibilities are not captured in this job description. To find out more, please
reach out to the recruiter for this role*

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

WORKING AT THE MLC

The MLC is committed to excellence, service, transparency, and diversity. Our culture is collaborative, our people are adaptable. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.

WHO WE ARE

The Mechanical Licensing Collective (The MLC) is a nonprofit organization designated by the U.S. Copyright Office to administer blanket mechanical licenses for digital music services in the United States. Our mission is to ensure songwriters, composers, and music publishers are accurately compensated for the use of their music.

Operating at the intersection of music, data, and technology, we process billions of usage records, match them to the correct musical works, and distribute royalties with accuracy and transparency. As we continue to grow, we are building scalable data platforms and workflows that power the future of digital music licensing.

THE ROLE

As a SQL Engineer / Data Analyst, you will play a critical role in designing, building, and maintaining scalable data solutions that power usage and royalty processing, reporting, and internal analytics. You’ll work closely with Data Platform, Engineering, Finance, and Member Experience teams to ensure data integrity, accessibility, and performance across systems.

This role is ideal for someone who enjoys working with complex datasets, optimizing queries for performance, and building reliable data pipelines that directly support business-critical operations.

Preference to individuals in Eastern and Central Time Zone to accommodate for UK team member collaboration.

QUALIFICATIONS

Required

· 3+ years of experience writing complex SQL queries in a production environment

· Strong experience with relational databases (e.g., PostgreSQL, Oracle)

· Proven ability to optimize queries and improve database performance

· Experience working with large, complex datasets

· Strong problem-solving skills and attention to detail

· Ability to communicate technical concepts to non-technical stakeholders

Preferred

· Experience with cloud data platforms (AWS Athena, Metabase, or similar)

· Familiarity with ETL/ELT processes and data pipeline concepts

· Experience supporting financial, royalty, or transactional data systems

· Understanding of data modeling concepts (star schema, normalization, etc.)

ESSENTIAL RESPONSIBILITIES

AS A MEMBER OF THE TECH TEAM, YOU WILL:

· Design, develop, and maintain complex SQL queries, stored procedures, and views to support business operations and reporting

· Optimize database performance through query tuning, indexing strategies, and execution plan analysis

· Partner with Data Engineers and Analytics teams to support data pipelines and transformations across platforms (e.g., AWS Athena, Metabase, or similar)

· Support royalty processing workflows by ensuring accuracy, consistency, and timeliness of data outputs

· Collaborate with cross-functional stakeholders (Finance, Rights Management, Member Experience) to translate business requirements into scalable data solutions

· Troubleshoot data discrepancies and implement long-term fixes to improve data quality

· Contribute to data governance, documentation, and best practices across the data ecosystem

· Assist in building and maintaining reporting datasets for internal and external stakeholders

· Data quality and validation frameworks to ensure accuracy