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27 results for Software Engineer in Pasadena, CA

Technical Project Manager

Irvine, CA
onsite
Temporary / Contract
31.6635 - 36.663 USD / Hourly
We are looking for an experienced Technical Project Manager to lead complex IT initiatives and keep cross-functional teams aligned on delivery goals in Irvine, California. This Long-term Contract position is ideal for someone who can guide Agile execution, manage project plans, and maintain clear communication with stakeholders across the organization. The role requires a strong blend of technical project leadership, structured governance, and hands-on coordination using modern project tracking tools. Responsibilities: • Lead end-to-end planning and execution of IT projects, ensuring scope, timelines, budget, and deliverables remain on track. • Facilitate Agile Scrum ceremonies, support team accountability, and help remove barriers that affect delivery progress. • Partner with business and technical stakeholders to define priorities, align expectations, and communicate project status clearly. • Build and maintain detailed project roadmaps, schedules, risk logs, and action plans to support successful outcomes. • Use Atlassian Jira to organize work, monitor sprint progress, and provide visibility into milestones and team performance. • Identify project risks, dependencies, and issues early, then drive mitigation strategies to reduce delivery impact. • Coordinate across multiple teams and consultants to ensure technical efforts are integrated effectively and completed with quality. • Support project governance by preparing updates, documentation, and reporting for leadership review and decision-making.
2026-06-15T00:00:00Z

Data & ML Platform Engineer Manager

Inglewood, CA
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
Job TitleManager, Data & Machine Learning Platform Engineer Company OverviewA leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans. Role SummaryThis Los Angeles-based role is a hands-on opportunity for a Manager, Data & Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions. Key Responsibilities<ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul>Compensation & Benefits<ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul>Additional Details<ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
2026-06-12T00:00:00Z