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Designs, compresses, quantizes, and deploys machine learning models for mobile and embedded edge devices. Optimizes inference for latency, memory, energy, and hardware accelerators using TensorFlow Lite, ONNX Runtime, and Core ML. Builds hybrid edge-cloud architectures, model update and rollback workflows, privacy-conscious telemetry, secure execution paths, and benchmarking systems. Collaborates with hardware, firmware, and product teams while documenting systems and evaluating responsible AI considerations.

Design, develop, deploy, secure, monitor, and optimize enterprise integrations using the MuleSoft Anypoint Platform. Responsibilities include API-led connectivity, DataWeave transformations, event-driven integrations, runtime management, CI/CD pipelines, legacy middleware migrations, observability, technical documentation, and performance optimization. The role collaborates with architecture, security, application, and business teams, translates requirements into reliable integration solutions, establishes engineering standards, and mentors junior developers.

Lead the end-to-end quality engineering lifecycle, including test strategy, planning, execution, automation, defect management, metrics, and release decisions. Develop and maintain automation frameworks, integrate continuous testing into CI/CD pipelines, coordinate SIT and UAT, and manage risks before production. Lead a globally distributed QE team across time zones while serving as a hands-on tester during deployment windows and communicating quality status, blockers, and trends to stakeholders.

Develop and maintain advanced PTC Windchill customizations using Java, APIs, services, listeners, workflows, JSP, and data-model extensions. Optimize performance, support upgrades and migrations, build asynchronous processes, troubleshoot production issues, and maintain technical documentation. Collaborate with consultants and stakeholders, conduct code and design reviews, provide post-go-live support, and mentor junior engineers while ensuring upgrade-friendly, well-engineered solutions.

Build low-latency trading, pricing, risk, market-data, backtesting, and analytics systems for fintech applications. Translate quantitative models into production software, optimize performance, implement compliance reporting and observability, lead incident response, document architectures and procedures, and mentor junior engineers. Collaborate with quants, traders, risk officers, and cross-functional stakeholders to deliver reliable, auditable financial technology.

Designs, develops, deploys, monitors, and supports enterprise integrations using Dell Boomi AtomSphere. Partners with application teams, architects, integration partners, and business stakeholders to translate requirements into production-ready solutions. Responsibilities include working with Boomi processes, connectors, runtimes, APIs, security standards, event-driven patterns, SaaS platforms, and CI/CD tooling. The role also involves troubleshooting, documentation, code and design reviews, and mentoring junior engineers.

Design and maintain scalable automation frameworks for web, API, mobile, and microservice testing. Write production-quality test code, implement contract, performance, and security testing, and integrate tests into CI/CD pipelines. Lead test strategy, risk analysis, debugging, incident root-cause analysis, and regression coverage improvements. Collaborate with cross-functional teams, document results, contribute to reusable tools, and mentor junior QA engineers.

Operate and engineer enterprise PLM platforms using PTC Windchill or Siemens Teamcenter. Responsibilities include installation, configuration, upgrades, migrations, performance tuning, database and application server administration, HA/DR, integrations, security, monitoring, automation, documentation, incident support, and mentoring engineers. The role also drives continuous improvement and reliable delivery across development, test, and production environments.

Design, build, and operate large-scale distributed backend systems and services. Responsibilities include architecture, data partitioning, replication, APIs, event-driven systems, performance optimization, observability, failure handling, incident response, documentation, technical roadmaps, and mentoring. Partner with SRE and platform teams to improve reliability and reduce operational toil.

Design and build high-performance Go backend services, APIs, cloud-native applications, CLI tools, Kubernetes controllers, and operators. Optimize concurrency, memory, garbage collection, and latency while integrating messaging systems and data stores. Implement testing, observability, security, documentation, and operational tooling. Lead code and design reviews, mentor engineers, contribute to shared Go libraries, and support distributed systems across multiple teams.