<p><strong>Location:</strong> Burbank, CA (Hybrid - 4 Days Onsite)</p><p><strong>Employment Type:</strong> Contract, potential FTE conversion</p><p><strong>Experience:</strong> 8+ Years</p><p><strong>Education:</strong> Bachelor's Degree Required</p><p><br></p><p>About the Opportunity</p><p>We are seeking a <strong>Staff Lead Software Engineer</strong> to help build the next generation of intelligent infrastructure supporting a modern Digital Supply Chain environment. This role is ideal for an experienced engineer who thrives at the intersection of backend engineering, distributed systems, workflow automation, and Generative AI.</p><p>You will play a critical role in designing and delivering agentic platforms that power complex business workflows including content mastering, localization, delivery, and media operations. Working closely with product, platform, and AI teams, you will transform emerging AI capabilities into scalable, production-ready solutions that create measurable business impact.</p><p>This is a hands-on leadership position where you will influence architecture, mentor engineers, and contribute directly to software development.</p><p><br></p><p>What You'll Do</p><p>Build Production-Grade AI Platforms</p><ul><li>Transform AI prototypes into scalable, enterprise-ready services.</li><li>Design and develop backend microservices using Java, Kotlin, Python, or TypeScript.</li><li>Deploy and manage services within Kubernetes environments using modern CI/CD practices.</li><li>Build resilient, event-driven architectures leveraging Kafka, SNS/SQS, EventBridge, or similar technologies.</li><li>Develop highly reliable APIs focused on performance, observability, and maintainability.</li></ul><p>Design Agentic Systems & AI Middleware</p><ul><li>Build middleware, API gateways, and service layers that securely expose enterprise applications and data to AI agents.</li><li>Create standardized interfaces enabling AI agents to interact with internal systems across the digital supply chain.</li><li>Implement Model Context Protocol (MCP) and related frameworks to manage secure access to tools, metadata, and content repositories.</li><li>Design intelligent orchestration layers that enable autonomous and semi-autonomous workflows.</li></ul><p>Lead AI Workflow Innovation</p><ul><li>Develop agentic workflows using technologies such as LangGraph, LangChain, and modern orchestration frameworks.</li><li>Implement routing, tool execution, context management, and decision-making capabilities for AI-powered solutions.</li><li>Establish governance controls, audit logging, approval workflows, and fallback mechanisms to support enterprise-grade AI implementations.</li><li>Integrate AI orchestration into business-critical workflows, including mastering, localization, and content delivery operations.</li></ul><p>Provide Technical Leadership</p><ul><li>Lead architecture discussions, technical planning sessions, and design reviews.</li><li>Partner with product managers, machine learning engineers, architects, and platform teams to deliver innovative solutions.</li><li>Mentor engineers and contribute to engineering excellence across the organization.</li><li>Evaluate and adopt emerging technologies in AI, distributed systems, cloud infrastructure, and software engineering.</li></ul>
About the Opportunity We’re hiring a hands-on Senior Salesforce Developer to take technical ownership of a heavily customized, integration-rich Salesforce environment. You’ll be the go-to developer for a key business area. You’ll own existing applications and active projects end to end, guide an offshore development team, and help shape how releases go to production. The team is putting real effort into AI-assisted and agentic development, so this is a good fit if you like to build quickly with modern tools. <br> What You’ll Do Own existing Salesforce applications and active project workstreams as the main hands-on developer and technical lead for your area Design and build custom solutions in Apex and Lightning Web Components (most of the work is custom code, not clicks) Build, maintain and troubleshoot integrations between Salesforce and external systems using REST/SOAP APIs and middleware Diagnose data flow and integration issues across systems, looking past Salesforce to the full end-to-end picture Guide and support offshore developers, including code reviews and enforcing development best practices Help coordinate and run bi-weekly production releases, which happen after hours every other Thursday Split your time roughly 80% new development and 20% production support, and respond to urgent issues as needed (there’s no formal on-call rotation) Take part in Agile delivery: daily standups, sprint planning and other sprint ceremonies Work with non-technical business partners to turn their needs into scalable technical solutions Write and maintain clear technical documentation for the solutions you build
<p><strong>Senior Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading firm based in Los Angeles, California is seeking a Senior Software Engineer to join its technology organization. The firm manages a significant portfolio of institutional assets across credit, private investments, and other alternative strategies. Technology and AI are central to its ongoing innovation strategy, with continued investment in intelligent applications, automation, and data-driven solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Software Engineer will be a hands-on full-stack developer responsible for building and supporting internal applications, AI-enabled solutions, enterprise integrations, and the Salesforce platform. This role will work closely with investment, operations, compliance, investor relations, accounting, and data teams to turn complex business processes into scalable technology solutions. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop applications that automate workflows across investment management, compliance, operations, accounting, and investor relations.</li><li>Build full-stack solutions using C#, .NET, SQL, Python, JavaScript/TypeScript, APIs, and modern development frameworks.</li><li>Develop and support AI-enabled applications, agent workflows, document processing, and intelligent automation solutions.</li><li>Configure and enhance Salesforce, including objects, fields, flows, validation rules, security, integrations, and light custom development.</li><li>Build integrations between Salesforce, internal applications, data platforms, and third-party systems using APIs, ETL, messaging, and automation.</li><li>Develop data and document processing workflows that extract, validate, transform, and load information into enterprise systems.</li><li>Partner directly with investment and business teams to translate domain expertise into repeatable, automated workflows.</li><li>Support reporting and analytics initiatives while maintaining data quality and consistency across connected systems.</li><li>Troubleshoot production applications and integrations, perform root-cause analysis, and implement long-term solutions.</li><li>Apply AI-assisted engineering practices to accelerate development, testing, documentation, and process automation.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid, three days onsite per week</li><li>Quarterly travel may be required</li><li>Opportunity to join an organization with an established investment in AI and help build the next generation of internal AI capabilities</li><li>Direct collaboration with senior technology leadership and investment professionals</li></ul>
<p>We are looking for a Data Engineer to join the client’s User Platforms organization. This role will be responsible for building and scaling the data foundation that powers experimentation, causal analysis, product optimization, and decision-making across Disney+, Hulu, ESPN+, and other streaming products.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design, develop, and maintain scalable experimentation data platforms supporting A/B testing, geo experiments, feature launches, and product analytics.</p><p>· Build and optimize batch and streaming data pipelines that ingest, transform, validate, and serve large-scale user behavior, product, and engagement datasets.</p><p>· Create reusable experimentation frameworks, datasets, and tooling that enable teams to efficiently define experiments, measure outcomes, and analyze results.</p><p>· Design dimensional models, analytical data products, and feature-ready datasets optimized for analytics, experimentation, and machine learning use cases.</p><p>· Implement automated data quality validation, monitoring, lineage tracking, testing, and governance controls to ensure reliable and trustworthy experiment results.</p><p>· Develop production-ready deployment workflows, CI/CD pipelines, observability solutions, and operational processes for data products and services.</p><p>· Collaborate with Product Managers, Software Engineers, Data Scientists, and Analytics teams to translate business requirements into scalable technical solutions.</p><p>· Drive best practices for data architecture, engineering standards, experimentation methodologies, and platform reliability.</p><p>· Mentor engineers and promote a culture of technical excellence, innovation, experimentation, and continuous improvement.</p>