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Develop and maintain production Salesforce solutions using Apex, Lightning Web Components, Flow, JavaScript, and REST/SOAP integrations. Build custom business logic, enterprise interfaces, automation, and data integrations while managing platform limits, sharing, and maintainability. Troubleshoot complex issues and use Salesforce DX and source-driven development practices. Platform Developer I certification and extensive hands-on Salesforce experience are required; Platform Developer II, Industry Clouds, MuleSoft, Einstein AI, Agentforce, and Experience Cloud experience are preferred.

Develop low-latency trading, pricing, risk management, and market data systems for fintech applications. Build backtesting frameworks and analytics tools, optimize performance and throughput, and collaborate with quantitative, trading, and engineering teams. Responsibilities also include managing P&L and risk solutions, troubleshooting production issues, and maintaining reliable, scalable trading platforms.

Design, develop, and operate enterprise integration solutions using the MuleSoft Anypoint Platform. Architect API-led connectivity with System, Process, and Experience APIs; build secure REST, SOAP, GraphQL, and event-driven integrations; deploy across CloudHub, Runtime Fabric, hybrid, and on-premises environments; optimize performance and reliability; establish CI/CD, testing, governance, monitoring, and security practices; lead architecture and code reviews; and mentor integration engineers.

Designs and governs Salesforce integrations across enterprise systems, including ERP, data, marketing, and operational platforms. Develops API strategies, selects middleware, and implements event-driven integration patterns. Leads data synchronization, identity, OAuth, and integration security efforts while translating business requirements into production-ready solutions. The role includes design and code reviews, stakeholder collaboration, technical leadership, and mentorship of junior engineers.

Designs, builds, and operates platform infrastructure for large-scale AI training and inference. Responsibilities include managing GPU clusters, distributed training frameworks, scheduling, storage performance, developer experience, reliability, efficiency, and cost control. The role requires production AI infrastructure expertise, strong software engineering practices, and knowledge of hardware, kernels, schedulers, networking, and ML frameworks.

The AppSec Engineer embeds security throughout the software development lifecycle, performs code reviews and vulnerability assessments, integrates SAST, DAST, SCA, and CI/CD security tooling, and partners with engineering teams on secure architecture, cloud security, authentication, authorization, and cryptography. The role also supports security automation, risk reduction, offensive security activities, and communication with technical and non-technical stakeholders.

Build and operate large-scale data systems supporting AI training and evaluation pipelines. Responsibilities include data ingestion, transformation, quality assurance, lineage, dataset versioning, reproducibility, and high-throughput delivery for accelerator-based training. The role requires operating petabyte-scale storage and pipeline systems, applying distributed systems and data modeling expertise, and following strong software engineering practices including testing, CI/CD, and code review. Collaboration with cross-functional teams is also required.

Designs and governs enterprise Salesforce implementations across multiple clouds and orgs. Establishes technical strategy and standards for security, integrations, customization, data models, and scalable architecture. Partners with stakeholders and engineering teams, leads large Salesforce programs end-to-end, and makes declarative versus programmatic design decisions. The role requires deep Apex, Lightning Web Components, Flow, integration, DevOps, and enterprise security expertise, along with Salesforce architecture certifications.

Operate and improve the reliability, availability, and performance of large-scale distributed systems. Build automation and tooling, manage Linux and Kubernetes environments, design CI/CD pipelines, implement observability, lead incident response, conduct post-incident reviews, and apply SLOs, error budgets, capacity planning, chaos engineering, and cloud platform practices.

Designs, develops, and manages enterprise integration solutions using Dell Boomi AtomSphere. Responsibilities include building APIs, event-driven integrations, reusable components, runtime environments, security controls, CI/CD pipelines, monitoring, and integrations with major enterprise platforms. The role troubleshoots production issues, drives architecture and governance standards, conducts reviews, collaborates with technical and business stakeholders, and mentors junior engineers.