Role Description Reporting to the Manager, Database Administration, the Sr Data Platform Engineer - MongoDB will provide expert-level MongoDB database design, development, maintenance, and problem resolution services for internal and external customers. They will manage highly resilient MongoDB infrastructure across on-premises and cloud environments (AWS) utilized by GHX DaaS/SaaS solutions. The Sr MongoDB DBA will work with various operational and development teams to plan, design, implement, and support core MongoDB database functionality that meets company initiatives with respect to performance, scalability, reliability, and adherence to operational policies and principles. Roles and Responsibilities - MongoDB Administration & Architecture: - Design, implement, and maintain MongoDB replica sets, sharded clusters, and standalone instances across production, staging, and development environments. - Architect MongoDB solutions for high availability, disaster recovery, and horizontal scaling using sharding strategies. - Perform capacity planning and performance tuning for MongoDB workloads, including index optimization, query analysis, and WiredTiger cache management. - Monitor MongoDB cluster health using tools like MongoDB Cloud Manager, Ops Manager, or third-party monitoring solutions (Datadog, Elastic). - Design and implement backup and recovery strategies using mongodump, Ops Manager backups, AWS snapshots, or third-party solutions. - Operations & Automation: - Automate MongoDB deployment, configuration, and maintenance tasks using Infrastructure as Code (Terraform, Ansible, CloudFormation). - Implement monitoring and alerting for MongoDB metrics including replication lag, oplog size, connection pools, cache utilization, and slow queries. - Perform MongoDB upgrades (version and patch releases) with minimal downtime using rolling upgrades and blue-green deployment strategies. - Manage MongoDB security including authentication (LDAP, x.509), authorization (RBAC), encryption at rest, and TLS/SSL configuration. - Troubleshoot production incidents including replica set failovers, performance degradation, and replication issues. - Collaboration & Guidance: - Provide guidance and mentorship to junior database engineers on MongoDB best practices, schema design, and operational procedures. - Collaborate with application development teams on MongoDB schema design, query optimization, and data modeling strategies. - Partner with DevOps and Infrastructure teams on MongoDB deployment automation, container orchestration (Kubernetes), and cloud infrastructure. - Participate in change management processes, incident response, and on-call rotation for production MongoDB clusters. - Safeguard the company's data, tools, and information systems by adhering to Operational and Security policies and procedures throughout the lifecycle of service delivery. Qualifications - Bachelor's degree from an accredited college in CS or related discipline or equivalent experience. - 5-8 years' experience in Database Administration with at least 3 years of hands-on MongoDB experience. - Expert-level knowledge of MongoDB architecture including replica sets, sharding, oplog, WiredTiger storage engine, and index structures. - Proven experience managing MongoDB in high-transaction, high-availability production environments (24x7 uptime requirements). - Strong understanding of MongoDB performance tuning, query optimization, and index design patterns. - Experience with MongoDB backup and recovery strategies including point-in-time recovery and disaster recovery planning. - Hands-on experience with AWS cloud services (EC2, EBS, S3, CloudWatch) and MongoDB deployment on AWS. - Experience with Linux/Unix operating systems and shell scripting (bash, Python) for automation. - Familiarity with at least one additional database platform (MySQL, PostgreSQL, MS SQL, Redis, or Elasticsearch). - Experience with configuration management and automation tools (Terraform, Ansible, or similar). Preferred Skills - MongoDB Certified DBA Associate or Professional certification. - Experience with MongoDB Atlas (managed MongoDB service) or MongoDB Cloud Manager/Ops Manager. - Knowledge of NoSQL data modeling patterns and anti-patterns for document databases. - Experience with MongoDB change streams, aggregation pipelines, and time-series collections. - Familiarity with MongoDB security frameworks including LDAP integration, encryption at rest/in-transit, and audit logging. - Experience with containerized MongoDB deployments (Docker, Kubernetes, MongoDB Kubernetes Operator). - Knowledge of MongoDB monitoring tools (PMM, Datadog, Elastic, CloudWatch). - Strong critical thinking, analytical and problem-solving skills. - Interpersonal skills with a strong orientation towards customer service. - Excellent written and oral communications skills with demonstrated commitment to production of high-quality documentation. - Excellent team player with good experience working with departmental and cross functional teams. - Experience with Infrastructure as Code (IaC) and GitOps workflows. Benefits - Health, vision, and dental insurance. - Accident and life insurance. - 401k matching. - Paid-time off. - Education reimbursement. Company Description Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.

Location(s): US (remote), Boston (hybrid), or New York (hybrid) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a Software Engineer II to join the Voice AI Team. On the Voice AI Team, our mission is to build and operate the voice platform that powers Toast and to ship novel applications on top of it that create real value across Toast's customer base. This is a greenfield space where the platform and its use cases are being defined together, and the work you do here will be foundational to how Toast uses voice AI for years to come. About this roll* (Responsibilities) As a Software Engineer II on this team, you'll help design and build the backend services, integrations, and tooling that make the platform reliable, scalable, and useful, working closely with engineers, product managers, and stakeholders across Toast to bring new capabilities to life. Here’s what you’ll be doing: - Design, build, deploy, and maintain highly resilient and scalable backend services supporting Toast's Voice AI platform - Join a collaborative team to develop robust, production-quality software using modern engineering practices - Contribute to complex projects that improve functionality and reliability for our customers - Participate in code reviews and design processes to ensure implementations meet requirements - Participate in architectural discussions and influence the technical roadmap - Advocate for best coding practices to raise the bar for you, your team, and the company - Mentor and provide technical guidance to other team members Do you have the right ingredients*? (Requirements) - 2+ years of experience with object-oriented languages such as Java or Kotlin - Basic familiarity with frontend development on small scale projects - Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or related field. - Experience delivering high-quality, reliable services or libraries to production - Understanding of automated testing, quality, and SDLC best practices for backend systems - Proficient with relational databases and alternative data stores - Experience with distributed systems, enterprise messaging systems, and/or microservices - Excellent communication skills on complex technical topics - Comfortable working with AI-powered systems, including an understanding of how nondeterminism, observability, and cost management differ from traditional software - Actively uses AI coding tools (e.g., Claude Code, Cursor) in day-to-day development - Passionate about technology and learning new things Our Tech Stack Our backend services follow a microservice architecture written in Kotlin and Java using DropWizard, running on AWS (DynamoDB, RDS, Lambda). We store data in sharded Postgres databases and have our own platform for user management, canary deployments, and load balancing. Our web front-end is built with React and ES6. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $159,000—$254,000 USD Zone B $138,000—$221,000 USD Zone C $125,000—$200,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

• Own and evolve platform systems in proprietary engines across PC and consoles, with an emphasis on performance and reliability. • Implement and optimize memory systems (allocators, pools, paging/streaming heaps, fragmentation mitigation, lifetime tracking, OOM safety). • Build and tune I/O and streaming foundations (async file I/O, decompression pipelines, asset streaming, prioritization, bandwidth/latency hiding, patch-friendly layouts). • Improve CPU performance and scalability (job systems, thread scheduling, contention reduction, cache/memory locality, frame-time stability, hitch reduction). • Integrate and maintain platform SDK-facing code and abstraction layers, ensuring clean boundaries between platform-specific and cross-platform systems. • Profile and optimize using platform and internal tooling (CPU sampling, memory trackers, I/O traces, performance capture tools) to identify bottlenecks and regressions. • Partner with gameplay, rendering, audio, and content teams to define budgets, best practices, and guardrails that keep builds performant and stable. • Contribute to tooling and workflows that improve developer velocity (profiling hooks, telemetry, regression tests, automated reporting, validation checks). • Communicate clearly to production and stakeholders on constraints, trade-offs, risk, and roadmap for performance and platform readiness.

• Create paved paths from local dev to prod. • Make builds faster, safer, and more observable. • Partner deeply with product engineering teams. • Raise the bar on engineering standards and release quality. • Shape the roadmap for developer productivity.