Aurus.ai is seeking an MSP Practice Lead to own the P&L, delivery quality, and strategic partnership with On Time Edge across our supply chain planning managed services engagements. You will be the senior face of Aurus.ai to our partners and clients, lead quarterly architecture reviews, manage escalations, and ensure the team consistently delivers against contracted SLAs. This is a player-coach role — you carry both practice leadership and engagement management responsibilities.
🎯 Core Responsibilities
- Own P&L accountability for the MSP practice — margin, utilization, and client satisfaction
- Manage the day-to-day partnership with On Time Edge — primary escalation point for all strategic issues
- Lead quarterly architecture reviews with enterprise clients — present findings, approve improvement roadmaps
- Manage and develop the MSP delivery team across technical, compliance, and operations functions
- Ensure all SLAs, change control procedures, and compliance obligations are met across active engagements
- Drive continuous improvement — identify operational efficiencies and platform optimization opportunities
- Support business development by contributing to SOW scoping, pricing, and capability presentations
✅ Required Qualifications
- 8+ years in managed services, consulting, or professional services delivery — must have owned client engagements end-to-end
- Demonstrated P&L ownership in a services business
- Strong supply chain planning domain knowledge — Kinaxis, PlanetTogether, or equivalent APS platforms
- Experience delivering services in regulated industries — healthcare, pharma, or life sciences strongly preferred
- Proven track record managing cross-functional technical teams in a client-facing MSP model
- Executive-level communication skills — comfortable presenting to C-suite stakeholders
🚀 What Success Looks Like — Year One
- All MSP engagements operating at or above contracted SLA performance levels
- Quarterly architecture reviews delivered on schedule with approved improvement roadmaps
- Practice margin at target with clear utilization and billing visibility
- Team operating with defined roles, documented runbooks, and zero critical delivery gaps
Aurus.ai is seeking a Supply Chain Planning Architect to serve as technical authority across Kinaxis RapidResponse and PlanetTogether APS environments in our MSP practice. This is not an implementation role — we are already live. Your mandate is continuous optimization: governing platform architecture, leading quarterly reviews, translating business requirements into platform improvements, and ensuring the planning systems we manage keep delivering measurable ROI for healthcare manufacturing clients.
🎯 Core Responsibilities
- Own and govern end-to-end technical architecture across Kinaxis and PlanetTogether client environments
- Lead quarterly architecture health reviews — assess performance, planning algorithm efficiency, data latency, and recommend optimization roadmaps
- Define and enforce platform configuration standards and change management procedures
- Translate client business requirements into platform architecture changes and improvement initiatives
- Serve as final technical escalation for complex platform issues across the MSP team
- Drive continuous improvement — identify automation, performance, and reliability enhancement opportunities
- Maintain architecture documentation, system topology diagrams, and integration maps per engagement
✅ Required Qualifications
- 6+ years hands-on Kinaxis RapidResponse experience — planning model governance, scenario modeling, workbook configuration
- Strong working knowledge of PlanetTogether APS or equivalent advanced scheduling platform
- Experience operating and optimizing live planning environments — not just implementing them
- Healthcare, pharma, or life sciences manufacturing experience strongly preferred
- Understanding of ERP (SAP/Oracle) integration patterns and supply chain data flows
- GxP and 21 CFR Part 11 awareness — comfortable operating within regulated change control environments
🚀 What Success Looks Like — Year One
- Architecture documentation established and current across all MSP client environments
- Platform performance benchmarks defined, baselined, and trending positively
- Zero critical platform failures attributable to architectural deficiencies
- Quarterly architecture reviews delivered on schedule with documented improvement roadmaps
Aurus.ai is seeking two Kinaxis Platform Leads to own the day-to-day operation, performance, and continuous improvement of Kinaxis RapidResponse environments within our healthcare MSP practice. You are a Kinaxis expert who also owns the integration layer feeding the platform — ERP, MES, and shop floor data connections are part of your domain. This is a hands-on senior role in a live, already-operational environment.
🎯 Core Responsibilities
- Own the day-to-day operation and performance of Kinaxis RapidResponse across assigned client environments
- Manage planning model configuration, scenario modeling environments, and workbook governance
- Own and monitor integration pipelines feeding Kinaxis from ERP (SAP/Oracle), MES, and shop floor systems
- Perform continuous performance tuning — planning algorithm optimization, data synchronization, alert management
- Respond to and resolve platform incidents within defined SLA timeframes
- Maintain platform documentation including configuration records, integration maps, and change logs
- Contribute to quarterly architecture reviews — prepare platform health metrics and improvement recommendations
✅ Required Qualifications
- 5+ years hands-on Kinaxis RapidResponse experience in a production environment
- Deep workbook, scenario, and planning model configuration expertise — not just end-user familiarity
- Experience maintaining ERP integrations into Kinaxis — SAP or Oracle preferred
- Supply chain planning domain knowledge: demand planning, inventory optimization, production scheduling
- Experience operating in a managed services or ongoing support model
- Healthcare or regulated manufacturing experience strongly preferred; GxP/change control awareness required
🚀 What Success Looks Like — Year One
- Platform uptime and SLA compliance maintained at or above contracted targets
- Planning cycle time metrics trending toward benchmark improvements
- Integration pipelines stable with zero unresolved data quality incidents older than SLA threshold
- Full platform documentation current and audit-ready at all times
Aurus.ai is seeking two PlanetTogether APS Leads to own the operation, scheduling optimization, and continuous improvement of PlanetTogether Advanced Planning & Scheduling environments in our healthcare MSP practice. You are a PlanetTogether expert who also speaks the client's operational language — you analyze KPI trends, surface improvement opportunities, and serve as the bridge between scheduling system performance and business outcomes.
🎯 Core Responsibilities
- Own day-to-day operation and performance of PlanetTogether APS across assigned client environments
- Manage scheduling rule configuration, constraint modeling, and capacity optimization settings
- Continuously tune APS parameters to reduce manual scheduling adjustments and improve schedule adherence
- Analyze planning KPIs — throughput, schedule adherence, manual override rates — and report trends to clients
- Monitor and maintain alignment between PlanetTogether scheduling and upstream planning systems
- Respond to platform incidents within defined SLA timeframes; escalate to Supply Chain Planning Architect as needed
- Contribute to quarterly architecture reviews with prepared performance data and improvement recommendations
✅ Required Qualifications
- 5+ years hands-on PlanetTogether APS experience in a production manufacturing environment
- Deep expertise in scheduling rule design, constraint-based scheduling, and capacity modeling
- Strong analytical capability — comfortable building KPI dashboards and presenting performance insights
- Understanding of production planning data flows: production orders, BOMs, capacity, inventory
- Experience in a managed services or ongoing operational support model
- Healthcare, life sciences, or regulated manufacturing experience strongly preferred
🚀 What Success Looks Like — Year One
- Manual scheduling adjustment rate trending down toward benchmark targets
- Schedule adherence metrics improving quarter over quarter
- KPI reporting delivered consistently on cadence with clear trend narratives
- APS environment stable and audit-ready with full change documentation
Aurus.ai is seeking two Integration Engineers to maintain, monitor, and continuously improve the data pipelines connecting Kinaxis, PlanetTogether, ERP, and MES systems in our healthcare MSP practice. You own both the integration layer and the data quality governance underneath it — master data integrity, audit trails, and data lineage are as important to you as pipeline uptime. In a regulated healthcare environment, bad data is not just an IT problem.
🎯 Core Responsibilities
- Monitor, maintain, and optimize data integration pipelines across planning platforms, ERP, and MES systems
- Own incident response for integration failures — triage, root cause analysis, resolution, and post-mortem documentation
- Manage master data integrity — validate data quality, identify anomalies, and resolve synchronization issues
- Maintain data lineage and audit trail documentation in compliance with GxP and 21 CFR Part 11 requirements
- Build and maintain reusable integration components and data transformation scripts
- Coordinate with Kinaxis and PlanetTogether platform leads on integration-related platform changes
- Contribute to architecture reviews with integration health metrics and optimization recommendations
✅ Required Qualifications
- 5+ years integration engineering experience in enterprise manufacturing or supply chain environments
- Hands-on experience with SAP or Oracle ERP integration patterns — IDocs, BAPIs, APIs, flat file exchange
- Strong data engineering fundamentals — data modeling, transformation, validation, and quality monitoring
- Experience with integration middleware platforms and ETL tooling
- Familiarity with Kinaxis or PlanetTogether integration interfaces strongly preferred
- GxP and 21 CFR Part 11 awareness — understands what regulated data handling means in practice
🚀 What Success Looks Like — Year One
- Zero unresolved data quality incidents beyond SLA thresholds
- Integration pipeline uptime at or above contracted targets
- Audit trail documentation complete and current across all client environments
- MTTR for integration incidents trending down quarter over quarter
Aurus.ai is seeking a GxP / CSV Validation Specialist who will serve as the regulatory conscience of our MSP delivery team. Every platform change, configuration update, and integration modification in our healthcare client environments must pass through proper computer system validation and change control. This role owns that process end-to-end — and also carries quality and compliance monitoring responsibilities across all active engagements. In pharma, a config change without proper documentation is not just a mistake, it is a compliance event.
🎯 Core Responsibilities
- Own computer system validation (CSV) processes across all Kinaxis and PlanetTogether MSP client environments
- Develop and maintain validation documentation — IQ, OQ, PQ protocols, validation plans, and summary reports
- Manage change control procedures — every platform change must be reviewed, documented, and approved before deployment
- Ensure all operational processes comply with 21 CFR Part 11, GMP, and applicable GxP requirements
- Conduct periodic compliance reviews across active client environments; prepare audit-ready documentation packages
- Train and guide the delivery team on GxP obligations — ensure compliance is embedded in day-to-day operations, not bolted on
- Support client audit preparation and participate in regulatory inspections as the MSP compliance representative
✅ Required Qualifications
- 5+ years GxP computer system validation experience in pharmaceutical, biotech, or medical device environments
- Deep knowledge of 21 CFR Part 11, EU Annex 11, and GAMP 5 methodology
- Hands-on experience authoring IQ/OQ/PQ protocols, validation plans, and traceability matrices
- Strong change control process ownership — must have run formal change control in a regulated IT environment
- Experience validating planning, ERP, or manufacturing execution systems preferred
- Audit participation experience — FDA, EMA, or internal quality audits
🚀 What Success Looks Like — Year One
- Zero compliance findings attributable to undocumented changes or validation gaps
- Change control process operating consistently across all client environments with zero bypasses
- All client environments audit-ready at all times — no scramble when an inspection is announced
- Delivery team demonstrably operating with GxP awareness embedded in standard workflows
Aurus.ai is seeking two Engagement Managers who will own the day-to-day client operations experience and serve as the planning analytics voice of the MSP team. You manage the rhythm of each engagement — status reporting, escalation coordination, change request management — while also functioning as the business analyst who understands supply chain planning KPIs, speaks the client's operational language, and translates business pain into actionable platform improvement tickets.
🎯 Core Responsibilities
- Own the day-to-day client relationship for assigned MSP engagements — primary point of contact for operational matters
- Prepare and deliver monthly operational status reports per client — coordinate with MSP Practice Lead before distribution
- Manage change request intake, prioritization, and tracking across assigned client environments
- Facilitate escalation routing — connect client issues to the right technical resource quickly
- Analyze supply chain planning KPIs — planning cycle times, inventory exposure, schedule adherence, throughput
- Translate operational business requirements into platform improvement tickets for the technical team
- Support quarterly architecture review preparation — compile KPI trend data and business context for the Architect
✅ Required Qualifications
- 5+ years in client-facing delivery management, business analysis, or consulting in supply chain or manufacturing
- Strong supply chain planning domain knowledge — must understand demand planning, inventory buffers, production scheduling concepts
- Familiarity with Kinaxis, PlanetTogether, or equivalent APS/planning platforms from a business user or analyst perspective
- Proven ability to manage multiple client relationships simultaneously in a managed services model
- Strong analytical and reporting skills — comfortable building and presenting KPI dashboards
- Healthcare or regulated manufacturing experience a plus
🚀 What Success Looks Like — Year One
- Monthly status reports delivered on time, accurate, and signed off without revision cycles
- Client satisfaction scores consistently positive across assigned engagements
- Change request backlog managed with clear prioritization and no stale items
- KPI dashboards in place and informing improvement decisions on a regular cadence
Aurus.ai is seeking two DevOps / Support Engineers to keep our MSP environments stable, deployments safe, and the support queue moving. You own release and deployment management for Kinaxis and PlanetTogether environments — coordinating with vendors, managing environment promotions through proper change control, and maintaining CI/CD pipelines. You also handle escalated L2 support tickets and platform health monitoring, making this a dual-function role that keeps the operational backbone of the practice running.
🎯 Core Responsibilities
- Manage release and deployment pipelines for Kinaxis and PlanetTogether environments across all MSP clients
- Coordinate vendor release cycles — test, validate, and promote updates through Dev, QA, and Production environments
- Maintain environment health monitoring dashboards — proactively identify and resolve platform stability issues
- Handle L2 support escalations — triage, investigate, resolve, and document platform incidents beyond L1 scope
- Manage environment provisioning, access controls, and configuration management across client instances
- Maintain deployment runbooks, release notes, and operational documentation per client environment
- Support GxP change control process — every deployment goes through proper documentation and approval workflow
✅ Required Qualifications
- 4+ years DevOps or platform support engineering experience in enterprise SaaS or manufacturing technology environments
- Experience managing release pipelines and environment promotions in a multi-client or multi-environment setup
- Strong incident management skills — structured triage, clear documentation, escalation judgment
- Familiarity with cloud infrastructure, monitoring tools, and alerting platforms
- Experience with Kinaxis or PlanetTogether environment management preferred but not required
- GxP change control awareness — comfortable operating in environments where every deployment requires a paper trail
🚀 What Success Looks Like — Year One
- Zero failed deployments due to inadequate testing or change control gaps
- L2 incident MTTR at or below SLA targets across all client environments
- All deployment runbooks documented and current — another engineer can execute any deployment from documentation alone
- Environment health monitoring proactive — issues caught before clients report them
Aurus.ai is seeking a highly experienced MuleSoft Integration Architect to serve as the technical authority for our Integration Practice. This is a senior leadership role at the top of the integration stack — you will own enterprise API architecture, govern the Anypoint Platform, lead integration design reviews, and be the final technical escalation point for all MuleSoft integration issues across client engagements in regulated healthcare and life sciences environments.
🎯
Core Responsibilities
- Own and govern the end-to-end MuleSoft integration architecture across all MSP client environments
- Design API-led connectivity frameworks (Experience, Process, System API layers) for enterprise healthcare and life sciences system integrations
- Define and enforce integration standards, design patterns, error handling frameworks, and DataWeave coding conventions across the delivery team
- Lead quarterly architecture health reviews — assess system performance, integration latency, data quality, and recommend optimization roadmaps
- Partner with On Time Edge and client stakeholders to translate evolving business requirements into integration architecture changes
- Review and approve all major integration designs, schema changes, and platform configuration updates before deployment
- Drive continuous improvement initiatives — identify automation, performance, and reliability improvement opportunities across the integration layer
- Establish and maintain architecture documentation, integration maps, and system topology diagrams per client
- Ensure all integration architectures comply with GxP, 21 CFR Part 11, HIPAA, and applicable healthcare data governance requirements
- Mentor and technically lead MuleSoft Integration Leads and Developers on the MSP team
- Collaborate with Aurus.ai’s DoKrunch platform team to integrate unstructured document data into planning system feeds
✅
MuleSoft & Technical Requirements
- 6+ years hands-on MuleSoft Anypoint Platform experience — must have designed and governed production integration environments at enterprise scale
- Deep expertise in API-led connectivity design — Experience, Process, and System API layer architecture
- Advanced DataWeave 2.0 proficiency — complex transformations, custom functions, streaming data handling
- Anypoint Platform governance: API Manager, Exchange, Runtime Manager, Visualizer, Anypoint MQ
- CloudHub and on-premise/hybrid Mule Runtime deployment and management
- Integration patterns: event-driven architecture, pub/sub, batch processing, idempotency, dead-letter queuing
- Strong working knowledge of SAP and/or Oracle ERP integration patterns via MuleSoft
- Experience integrating with MES platforms and manufacturing execution systems
- CI/CD pipeline design for MuleSoft — Maven, Jenkins, GitHub Actions, or equivalent
- MuleSoft Certified Integration Architect credential required; Platform Architect preferred
🏥
Healthcare & Regulated Industry Domain
- Direct experience delivering integrations in pharmaceutical, biotech, or medical device environments
- Working knowledge of 21 CFR Part 11, GxP, and HIPAA requirements for regulated system integrations
- Experience integrating with ERP platforms (SAP, Oracle) and enterprise data systems in healthcare settings
- HL7 / FHIR familiarity for healthcare data interchange — a strong differentiator
- Understanding of healthcare operational data: patient records, clinical workflows, financial transactions, compliance reporting
⭐
Leadership & Collaboration
- Proven ability to lead technical teams in a managed services or consulting delivery environment
- Comfortable presenting architecture recommendations to senior client stakeholders and executive sponsors
- Experience operating in a client-facing MSP or professional services model — not just internal IT
- Strong written and verbal communication — able to translate complex technical architecture into business language
🚀
What Success Looks Like — Year One
- Architecture documentation established and current for all MSP client environments
- Integration performance benchmarks defined, baselined, and trending in the right direction
- Zero critical integration failures attributable to architectural deficiencies
- Quarterly architecture reviews delivered on schedule with documented improvement roadmaps
- MSP delivery team operating to consistent architecture standards with measurable improvement in code quality
Aurus.ai is seeking a MuleSoft Integration Lead / Senior Developer to bridge architecture and execution within our MSP delivery team. This is a hands-on technical leadership role — you will translate the Integration Architect’s design decisions into working integration solutions, own sprint delivery, lead code reviews, and serve as the senior technical voice on the development floor. You are an experienced MuleSoft developer who has grown into owning delivery. You know how to build production-grade APIs and flows, you understand what good looks like, and you can bring junior developers up to that standard. You are equally comfortable in a design session with the architect and in a debugging session with a developer — and you make both better.
🎯
Core Responsibilities
- Translate integration architecture designs into detailed technical specifications and sprint-ready user stories
- Lead development sprints — own delivery commitments, remove blockers, and ensure quality gates are met before deployment
- Conduct thorough code reviews across all integration deliverables — enforce DataWeave standards, error handling patterns, and API design conventions
- Own CI/CD pipeline execution for MuleSoft deployments across CloudHub and on-premise Mule runtimes
- Develop and maintain complex MuleSoft integration flows connecting ERP, MES, clinical, and enterprise systems in healthcare environments
- Build and maintain reusable integration components, connector configurations, and DataWeave libraries for the MSP platform
- Lead incident response for P1/P2 integration failures — triage, root cause analysis, fix, and post-mortem documentation
- Maintain integration documentation: flow diagrams, API specifications, data mapping documents, and runbooks
- Collaborate with the Integration Architect on architecture evolution and performance optimization initiatives
- Mentor and upskill MuleSoft Integration Developers — pair programming, technical coaching, knowledge transfer
- Ensure all development practices comply with GxP change control, validation protocols, and audit trail requirements
✅
MuleSoft & Technical Requirements
- 5+ years hands-on MuleSoft development experience — must include production delivery in enterprise environments
- Advanced DataWeave 2.0 — must be able to write complex transformations, custom modules, and streaming processors from scratch
- API design and governance: RAML / OAS specification, API Manager policies, SLA tiers, client management
- Anypoint Platform: Runtime Manager, Exchange publishing, MQ configuration, Visualizer
- CloudHub deployment, worker sizing, alert configuration, and log management
- On-premise/hybrid Mule Runtime installation, clustering, and performance tuning
- Integration patterns: request-reply, async messaging, batch processing, scatter-gather, saga pattern
- CI/CD tools: Maven, Jenkins, GitHub Actions, or Anypoint CLI — must have built and owned a deployment pipeline
- Error handling strategy design: dead letter queues, retry policies, circuit breakers, alert routing
- MuleSoft Certified Developer — Level 2 required; Integration Architect certification a strong plus
🏥
Healthcare & Supply Chain Domain
- Experience delivering integrations in a regulated industry — healthcare, pharma, or medical device strongly preferred
- Working knowledge of 21 CFR Part 11 requirements for electronic records and signatures in integrated systems
- Familiarity with GxP change control — understands that a config change in a pharma environment is not the same as a config change anywhere else
- Experience integrating with SAP or Oracle ERP systems via MuleSoft — required
- Familiarity with healthcare data standards (HL7, FHIR) and operational data flows — preferred
- Experience integrating clinical, financial, or operational healthcare systems — a significant differentiator
⭐
Leadership & Collaboration
- Proven track record leading sprint delivery in an Agile/Scrum environment
- Experience in a managed services, professional services, or consulting delivery model
- Able to communicate technical status, risks, and blockers clearly to both technical and non-technical stakeholders
- Strong mentorship instinct — you actively make the developers around you better
🚀
What Success Looks Like — Year One
- Sprint velocity stable and delivery commitments consistently met across MSP client portfolio
- Zero rework from architecture non-compliance in code reviews
- Integration Developer team operating to documented standards with measurable improvement in first-time-right deployments
- P1/P2 incident mean time to resolution (MTTR) at or below SLA targets
- Full CI/CD pipeline operational for all client environments with documented deployment runbooks
Aurus.ai is seeking a focused, experienced MuleSoft Integration Developer to join our Integration Practice. This is a core execution role — you will build, test, and deploy MuleSoft integration flows connecting ERP, clinical, financial, and enterprise systems in regulated healthcare and life sciences environments. You are not a generalist who has used MuleSoft on a couple of projects. You are someone who has spent 4–5 years doing this — you know DataWeave inside out, you understand API-led connectivity, and you have delivered production integrations that actually run. You work well within a structured delivery team, you take direction from the Integration Lead, and you bring craft and precision to everything you build.
🎯
Core Responsibilities
- Develop MuleSoft integration flows, APIs, and connectors as specified in architecture and technical design documents
- Write clean, well-structured DataWeave 2.0 transformations for complex data mapping between ERP, clinical, financial, and enterprise healthcare systems
- Build and maintain System API, Process API, and Experience API layers per API-led connectivity standards
- Implement error handling, retry logic, logging, and alerting per established MSP patterns and runbooks
- Execute unit testing and integration testing for all delivered flows — document test cases and results
- Deploy integrations through the CI/CD pipeline to CloudHub and on-premise Mule runtimes
- Monitor integration health dashboards — respond to alerts, triage incidents, and escalate per severity protocols
- Maintain technical documentation: data mapping specifications, flow diagrams, API contracts, and deployment notes
- Participate in code reviews — apply feedback and contribute review comments on peer deliverables
- Adhere strictly to GxP change control procedures — all changes documented, reviewed, and approved before deployment in regulated client environments
- Support the Integration Lead during P1/P2 incident response — own assigned resolution tasks
✅
MuleSoft & Technical Requirements
- 4–5 years hands-on MuleSoft Anypoint Platform development — this is a hard floor, not a preference
- DataWeave 2.0 proficiency — must be able to write complex transformations independently without relying on auto-generated code (array manipulation, object restructuring, conditional logic, custom functions)
- Handling large payloads, streaming, and batch-friendly data transformation patterns
- API design fundamentals: RAML or OAS specification writing, request/response modeling, status code handling
- Anypoint Platform: Runtime Manager, Exchange, API Manager basics, Anypoint MQ
- CloudHub deployment: application deployment, worker configuration, alert setup, log retrieval
- Connector usage and configuration: HTTP, Database, SFTP, SAP, Salesforce, JMS, Kafka
- Error handling implementation: try-catch scopes, on-error propagate vs continue, dead letter queue patterns
- CI/CD pipeline participation: Maven builds, deployment scripts, environment variable management
- Source control discipline: Git branching, pull requests, commit standards
- MuleSoft Certified Developer — Level 1 required; Level 2 strongly preferred
🏥
Healthcare & Supply Chain Domain
- Experience working in a regulated industry environment — healthcare, pharma, or life sciences preferred
- Understanding of what 21 CFR Part 11 and GxP mean for how you write code, manage changes, and document your work
- Familiarity with ERP integration patterns — SAP IDocs, BAPIs, or Oracle APIs via MuleSoft
- Exposure to supply chain data concepts: production orders, BOMs, inventory records, demand planning data — preferred
- Experience with healthcare data standards (HL7, FHIR, EDI) — a differentiator but not required
⭐
Working Style & Team Fit
- Structured and disciplined — you follow standards and patterns, and you understand why they exist in a regulated environment
- Detail-oriented — in healthcare supply chain integrations, a wrong data mapping is not just a bug, it can be a compliance event
- Collaborative — you communicate blockers early, participate actively in standups, and don’t go dark when you’re stuck
- Growth-oriented — you are actively working toward Level 2 certification or architect-level capability if you don’t already have it
🚀
What Success Looks Like — Year One
- Delivering assigned integration stories on time and to spec with minimal rework
- Zero compliance incidents attributable to undocumented changes or deviation from change control procedures
- DataWeave and flow quality consistently passing code review without major revision cycles
- Independently handling L1/L2 monitoring and incident triage with appropriate escalation judgment
- Progressing toward MuleSoft Certified Developer Level 2 if not already certified
Aurus.ai is seeking an exceptional Chief Technology Officer to lead our technical vision, architecture, and engineering execution. As CTO, you'll drive innovation in AI/ML systems, scale our platform to serve thousands of enterprise customers, and build a world-class engineering organization. This is a founding-level role reporting directly to the CEO with significant equity and strategic influence.
🎯
What You'll Do
- Define and execute technical strategy and product roadmap aligned with business objectives and market needs
- Lead architecture design for scalable, secure, enterprise-grade AI/ML systems processing millions of documents and transactions
- Build, mentor, and manage high-performing engineering team (currently 10+ engineers, scaling to 30+)
- Drive innovation in document intelligence, reconciliation engines, NLP, and computer vision technologies
- Establish engineering best practices, DevOps culture, CI/CD pipelines, and quality assurance processes
- Partner with CEO and product leadership on strategic planning, fundraising, and customer technical engagements
- Ensure security, compliance (SOC 2, GDPR, HIPAA), and reliability standards for enterprise customers
- Make build vs buy decisions, evaluate technology partnerships, and manage technical vendor relationships
- Represent Aurus.ai technically at conferences, customer meetings, and in thought leadership content
✅
Required Qualifications
- 15+ years software engineering experience with 8+ years in technical leadership roles (VP Engineering, CTO, or equivalent)
- 5+ years hands-on experience with AI/ML systems, particularly NLP, computer vision, or document intelligence
- Proven track record scaling engineering teams from 10-50+ engineers in high-growth startup environment
- Deep expertise in cloud infrastructure (AWS/Azure/GCP), microservices architecture, and distributed systems
- Experience architecting and deploying enterprise SaaS products serving Fortune 500 customers
- Strong understanding of security, compliance (SOC 2, GDPR), and enterprise requirements
- Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
- Track record of successful product launches and driving technical innovation
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
⭐
Nice to Have
- PhD in Computer Science, AI/ML, or related field from top-tier research institution
- Experience as CTO at successful venture-backed startup (Series A-C or beyond)
- Published research in AI/ML conferences (NeurIPS, ICML, CVPR) or peer-reviewed journals
- Domain expertise in FinTech, financial services, or supply chain/logistics systems
- Previous experience with document processing, OCR, or reconciliation systems
- Network in AI/ML community and ability to attract top engineering talent
- Experience with fundraising, technical due diligence, and board-level communication
🚀
What Success Looks Like (First 12 Months)
- Ship 3+ major product releases with measurable customer impact and satisfaction scores >4.5/5
- Scale platform to handle 10M+ documents/month with 99.9% uptime SLA
- Grow engineering team from 10 to 25+ world-class engineers across ML, backend, and DevOps
- Achieve SOC 2 Type II certification and complete 5+ enterprise security audits
- Establish technical advisory board and speaking presence at 3+ industry conferences
- Reduce technical debt by 40% while increasing development velocity by 30%
We are looking for a hands-on Technical Architect who can design and build a workflow-driven SaaS platform from the ground up. This is a builder role requiring deep involvement in architecture, coding, and system design. You will translate complex business workflows into deterministic, auditable systems that power enterprise document intelligence at scale.
🎯 What You'll Do
- Design end-to-end workflow orchestration and approval chains across the DoKrunch platform
- Model workflows using BPMN tools such as Camunda
- Define system architecture across ingestion, AI processing, validation, and ERP integration layers
- Design event-driven and asynchronous systems using queues and worker frameworks
- Develop data models for documents, workflows, approvals, and audit logs
- Write production-grade backend code and actively review engineering outputs
- Build reusable workflow, rule engine, and approval system components
✅ Required Qualifications
- Strong backend engineering experience in Python with Django or FastAPI
- Hands-on experience with workflow engines — Camunda preferred
- Solid knowledge of async processing frameworks such as Celery and message queues
- Proven experience building REST APIs, relational databases, and cloud-deployed systems
- Demonstrated ability to architect distributed, scalable SaaS systems
🧠 Mindset & Culture Fit
- Builder-first, execution-focused — you ship, not just design
- Comfortable moving from concept to deployment with minimal process overhead
- Thrives in ambiguity and takes ownership of outcomes end-to-end
We are looking for a strong backend developer to build and extend a workflow-driven SaaS system at Aurus.ai. You will implement workflow logic, APIs, and processing pipelines while taking ownership of the full feature lifecycle — from design through deployment, monitoring, and iteration.
🎯 What You'll Do
- Implement workflow execution logic and approval flows across the DoKrunch platform
- Develop APIs for document ingestion, workflow triggering, and real-time status tracking
- Build validation, reconciliation, and exception handling services
- Implement async processing pipelines using Celery or equivalent frameworks
- Integrate with external systems, ERP platforms, and AI services
✅ Required Qualifications
- Strong Python development skills using Django or FastAPI
- Solid experience designing and consuming REST APIs with relational databases
- Working knowledge of async processing patterns and system-level workflows
- Comfort with cloud deployment, CI/CD pipelines, and containerised environments
⭐ Engineering Expectations
- Write clean, well-documented, and maintainable code
- Implement logging, monitoring, and automated testing as first-class concerns
- Take end-to-end ownership of features from design to production