The Product & Data Engineering team is responsible for end-to-end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News.

The ABC Core Content Technologies engineering team is looking for a Principal Product Software Engineer who is passionate about setting technical direction for high-scale content platforms and multiplying the impact of engineers across the organization.

Responsibilities

• Lead the design, implementation, and delivery of software in highly ambiguous and significantly complex problem spaces that have long-term impact on our products, technology, and architecture.
• Deconstruct large architectures into components that can be developed independently by multiple teams, then align those teams toward simple, coherent designs that come together into an integrated whole.
• Acquire a deep understanding of our business processes, dependent systems, and teams, and develop professional relationships with key stakeholders , including business users, product managers, designers, and other Principal Engineers both inside and outside of our organization , to inform technical strategy and drive alignment.
• Set the standard for engineering excellence across the organization – producing designs, algorithms, and implementations that are exemplary in terms of robustness, scalability, cost-effectiveness, and simplicity – and drive best practices across the organization.
• Amplify your impact as a force multiplier: lead design reviews for complex projects, probe assumptions, illuminate pitfalls, foster shared understanding, handle escalations, and mitigate complexity risks.
• Actively develop and mentor engineers across and beyond your organization, keep the engineering community current on trends and technologies, participate in hiring, and perform promotion assessments to support the career growth of others.

Additional Expectations

• Promote and reinforce engineering best practices , design patterns, code review, and automated testing , and drive their adoption across the organization.
• Mentor engineers within and beyond your squad, and educate the broader engineering community on advanced technical issues, technologies, and trends.
• Lead and reinforce a high level of operational excellence for the systems underpinning applications used by millions of fans every day.
• Solicit differing views, build consensus, and be willing to change your mind as you learn more.
• Participate in hiring and interviewing, and perform promotion assessments to support the career growth of others.
• Champion the adoption of AI-assisted development tools, models, and workflows, demonstrating a personal commitment to them and helping the broader team realize measurable productivity and quality gains.

Minimum Qualifications

• 10+ years of experience building large-scale, highly available distributed services.
• Expert-level programming skills in Java or a similar object-oriented language, with strong computer science fundamentals (data structures, algorithms, databases, etc.).
• Proven track record designing backend architectures that span multiple teams and driving consensus on them.
• Experience building and operating message-based, distributed systems, including caching strategies.
• Experience mentoring engineers and setting technical direction beyond a single team.

Preferred Qualifications

• Experience working on highly scalable, real-time content or data platforms serving millions of consumers.
• Extensive experience with Amazon Web Services (AWS) or a similar cloud service, including Terraform and infrastructure as code (IaC) practices.
• Experience with event-driven messaging architectures (e.g., SQS, SNS) and both relational and non-relational database technologies (e.g., DynamoDB, OpenSearch).
• Contributions to intellectual property (e.g., patents), industry conferences, or a broader technical community.

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The ideal candidate is a pragmatic engineering leader who creates clarity in ambiguous environments, communicates effectively with technical and non-technical partners, and builds a culture grounded in accountability, inclusion, operational discipline, and continuous learning.

Responsibilities:

• Lead and grow the JavaScript Disney Media Player engineering team through hiring, coaching, performance management, and career development.
• Own execution of the team roadmap, balancing feature delivery, technical investment, platform reliability, and operational excellence.
• Provide technical leadership for the player stack, architecture decisions, and engineering best practices in partnership with senior engineers.
• Partner closely with Product, Design, TPM, and platform teams to align priorities, manage dependencies, and deliver high-quality customer experiences.
• Foster a culture of accountability, inclusion, continuous learning, and data-driven decision making to improve playback quality, performance, and reliability across devices.

Minimum Qualifications:

• Bachelor’s degree or higher in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of relevant software engineering experience, including significant experience leading and managing engineering teams.
• 5+ years of hands-on, production experience with high-quality JavaScript and modern web application development.
• Experience building or supporting media playback technologies in web-based or connected-device environments.
• Experience leading teams through the full software delivery lifecycle, including development, release, and operational support of consumer-facing applications.
• Experience owning application availability, reliability, and performance in production environments.
• Strong communication and leadership skills with a demonstrated ability to grow, mentor, and develop engineers.
• Proven ability to collaborate effectively across technical and non-technical teams, influence stakeholders, and manage cross-functional dependencies.
• Demonstrated success building inclusive, high-performing engineering teams.

Preferred Qualifications:

• Familiarity with streaming media concepts and technologies (MSE/EME, HLS, MPEG-DASH, Transport Stream, CMAF).
• Experience delivering playback or streaming video experiences at scale.
• Experience with connected TV, OTT, or streaming device platforms.
• Background partnering closely with Product, Design, and Platform teams on complex, highly visible products.
• Demonstrated success managing and supporting teams distributed across multiple time zones.
• Experience using data, metrics, or experimentation to inform technical decisions and improve user experience.

The hiring range for this position in New York, NY is $182,400 to $244,600. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

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Disney Entertainment & ESPN Technology is reimagining ways to create magical viewing experiences for the world's most beloved stories while transforming Disney's media business for the future.

Job Summary

The Event Platform team is the pillar of a data processing pipeline responsible for powering core features and analytics across all of Disney's streaming services. As a software engineer at Disney, you will help build the platform that powers these applications, design and scale infrastructure to support massive scale at low latency, and improve the software delivery process.

Key Responsibilities

• Lead the design and architecture of high-scale services and observability platforms, integrating them with existing telemetry infrastructure.
• Manage complex projects, taking high-level requirements and breaking them down into technical roadmaps with clear milestones.
• Own the full software development lifecycle, including deployment, monitoring, logging, and on-call.
• Actively mentor junior and mid-level engineers, focusing on their growth through constructive code reviews and technical guidance.
• Collaborate cross-functionally with product, client, and data platform teams to negotiate architectural decisions and align technical plans with business goals.
• Deliver working prototypes and proof-of-concepts for complex technical proposals.

Required Qualifications

• Bachelor's degree in Computer Science or a related technical field.
• 5+ years of experience building and scaling production-grade software in Java.
• Strong expertise in developing and operating observability platforms, including metrics, logging, tracing, and alerting.
• Proven ability to take ownership and responsibility for the entire software development lifecycle, from conception to deployment and operations.
• Excellent technical leadership and mentorship skills, with a passion for building and growing engineering teams.
• Exceptional communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
• Ability to leverage AI tools like Claude Code and Cursor effectively for increased productivity.

Preferred Qualifications

• Expertise in streaming data applications like Apache Flink, Apache Kafka, or similar technologies.
• Hands-on experience with AWS services, specifically Kinesis, MSF, Dynamo, ElastiCache, Lambda, Cloudwatch, Datadog.
• Experience with infrastructure-as-code tools like Terraform.
• Knowledge of data products and platforms, including Spark, Parquet, Athena, Databricks.

Benefits

The hiring range for this position in Seattle, WA is $150,900 to $202,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

Job Data by YubHub.

As a Sr Product Software Engineer, you will design and implement tier-1 microservices in Java, core backend software components for the Unified Messaging Platform, and asynchronous processes to run in the cloud for various data transformation operations. You will also work on tech design for various initiatives and projects, participate in Agile methodology and SCRUM processes, provide on-call support for critical services, and own features/functionality and deliver projects end-to-end with high quality and robust architecture.

The ideal candidate will have 5+ years of experience building internet-scale web or services applications, experience in a Java and/or alternative JVM application development environments, familiarity with the AWS environment, solid understanding of software development fundamentals, proficiency with writing unit, integration and functional tests, and experience with Relational and NoSQL Databases.

The hiring range for this position in Los Angeles is $144,100 to $193,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

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The ideal candidate will have experience building and operating distributed data and ML infrastructure that supports high-throughput, low-latency data processing and real-time ML use cases. They will work closely with senior MLEs, data engineers, platform/SRE, and product teams to develop streaming data pipelines, feature computation systems, and ML-adjacent services that operate reliably at scale.

Responsibilities and Duties of the Role:

• Large-Scale Data Processing & Streaming Systems:
• Build and maintain high-throughput batch and streaming data pipelines to support ML, analytics, and real-time decisioning use cases.
• Implement data ingestion, enrichment, aggregation, and transformation workflows using modern distributed data frameworks.
• Ensure pipelines meet latency, reliability, and data quality requirements for downstream ML and product teams.

• Real-Time Data & Feature Infrastructure:
• Develop and operate systems that support real-time feature computation and delivery for online ML services.
• Work with feature stores and event-driven architectures to ensure consistency between offline and online data.
• Improve data freshness, schema evolution, and backward compatibility in streaming environments.

• ML-Adjacent infrastructure & Platform Engineering:
• Build and operate ML-adjacent services such as inference inputs, feature APIs, and data access layers.
• Contribute to scalable service patterns including autoscaling, rollout strategies, and resiliency mechanisms.
• Partner with platform/SRE teams to improve system availability, performance, and cost efficiency.

• Reliability, Observability & Operations:
• Instrument data and ML infrastructure with metrics, logging, and alerting to support production operations.
• Participate in on-call rotations and incident response for data and ML platforms.
• Identify and remediate data pipeline failures, performance regressions, and operational risks.

• Collaboration & Engineering Execution:
• Collaborate with applied ML and data science teams to enable production ML workflows through reliable data systems.
• Participate in design reviews, code reviews, and technical discussions.
• Follow established platform standards and contribute incremental improvements over time.

Required Education, Experience/Skills/Training:

• Basic Qualification:
• Experience building and operating large-scale data or ML systems in production.
• Strong fundamentals in distributed systems and data processing architectures.
• Hands-on experience with streaming and batch data technologies (e.g., Kafka, Kinesis, Spark, Flink, or equivalent).
• Proficiency in Python and working knowledge of Java, Scala, Go, or C++.
• Experience operating systems in cloud-native environments (AWS, containers, Kubernetes, IaC tools).
• Familiarity with observability and operational best practices for production systems.
• Strong collaboration skills and ability to work effectively across engineering and data teams.

• Preferred qualification:
• Experience supporting real-time personalization, recommendation, or analytics systems.
• Familiarity with feature stores, event-driven architectures, and real-time ML pipelines.
• Exposure to ML infrastructure concepts such as inference pipelines, data validation, and model lifecycle tooling.
• Experience optimizing data systems for latency, throughput, and cost efficiency.
• Understanding of experimentation platforms and data instrumentation for online systems.

The hiring range for this position in New York, NY is $150,900.00 - $202,400.00 per year, in Glendale, CA is $144,100.00 - $193,200.00 per year, and in San Francisco, CA $157,800.00 - $211,600.00 per year.

Job Data by YubHub.

The team is responsible for building world-class news experiences for ABC News, and the successful candidate will collaborate with cross-functional teams to deliver high-quality features and enhancements to users.

Responsibilities and duties of the role include:

• Developing feature-rich native Android and AndroidTV applications
• Identifying areas for growth within team processes and developing new systems for collaboration
• Writing clear, well-tested, performant code
• Working with other developers to create sustainable, well-architected solutions
• Managing production issues and solving novel problems
• Supporting peers through code review and pair programming
• Creating opportunities to learn and improve the codebase

The hiring range for this position in New York, NY is $124,900.00 - $167,400.00 per year and in Glendale, CA is $119,200.00 - $159,800.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

Job Data by YubHub.

Responsibilities and Duties of the Role:

• Develop feature-rich native iOS, tvOS, and visionOS applications for iPhone, iPad, Apple TV, and Apple Vision Pro.
• Identify areas for growth within team processes and develop new systems for collaboration.
• Write clear, well-tested, performant code.
• Work with other developers to create sustainable, well-architected solutions.
• Manage production issues and solve novel problems.
• Guide an agile team participating in the full lifecycle of application development.
• Mentor associate, mid-level, and senior team members.

Requirements:

• 5 years of relevant experience.
• Deep understanding of Swift, Apple Frameworks, and the Xcode ecosystem.
• Experience leading a team, integrating with backend systems, and holding high standards of quality.
• Bachelor's degree in Computer Science, Engineering, or related field.

Benefits:

• Competitive salary ($150,900 - $202,400 per year in New York, NY).
• Bonus and/or long-term incentive units may be provided.
• Full range of medical, financial, and other benefits.

Job Data by YubHub.

Responsibilities and Duties of the Role:

• Develop feature-rich native iOS, tvOS, and visionOS applications for iPhone, iPad, Apple TV, and Apple Vision Pro.
• Identify areas for growth within team processes and develop new systems for collaboration.
• Write clear, well-tested, performant code.
• Work with other developers to create sustainable, well-architected solutions that are built to last.
• Manage production issues and solve novel problems.
• Guide an agile team participating in the full lifecycle of application development, including being the key point of contact for entire features.
• Mentor associate, mid-level, and senior team members and support peers through code review and pair programming.
• Create opportunities to learn and teach others.

Requirements:

• 5 years of relevant work experience.
• Deep understanding of Swift, Apple Frameworks, and the Xcode ecosystem.
• Experience leading a team, including delegating responsibility and balancing competing priorities.
• Experience integrating with backend systems, web services, and third-party software.
• Hold high standards of quality for both the codebases you contribute to and the applications you build.
• A growth mindset towards learning, experience mentoring others, and a desire to give and receive feedback.
• Experience composing and presenting thoughtful and implementable solutions to a variety of stakeholders (technical and non-technical).
• Experience with AVPlayer and video playback is strongly preferred.

Benefits:

• Competitive salary: $150,900 - $202,400 per year in New York, NY, and $144,100 - $193,200 per year in Glendale, CA.
• Bonus and/or long-term incentive units may be provided as part of the compensation package.
• Full range of medical, financial, and other benefits.

Job Data by YubHub.

The ideal candidate will have experience in BrightScript, SceneGraph, and be ready to write client apps that provide the best experiences for viewers.

Responsibilities and duties of the role:

• Be a critical member of a team of engineers responsible for building client app experiences in BrightScript, using the Roku SceneGraph SDK
• Contribute to the development of new application features from onboarding to browse UI/UX experiences, analytics, video playback UI/UX, and more
• Have the opportunity to contribute to the development of tools and systems outside of the Roku apps, such as JavaScript- and React-based web tools, gulp build scripts, AWS configurations, and Node.js services
• Work with Roku to vet new hardware, firmware, and certification requirements from a client application perspective
• Collaborate closely with client SDK engineering, design engineering, services engineering teams, and product owners to help understand and communicate requirements and device limitations
• Collaborate closely with backend and mobile engineers to ensure parity across implementations and platforms

The hiring range for this position in New York, NY is $124,900.00 - $167,400.00 per year and in Glendale, CA is $119,200.00 - $159,800.00 per year.

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The Transmission Engineer will possess an intermediate level of knowledge of the Live and VOD ecosystem, as demonstrated by the ability to problem solve for everyday issues. They will also be able to discern complex issues from the routine and escalate them in a timely manner with relevant details.

Key responsibilities include:

• Managing EPG data for live channels, including extending listings data and updating catalog attributes as needed on streaming platforms including Disney+, ESPN, and Hulu + Live TV
• Ensuring content blackouts compliance against contractual obligations and partner communications
• Monitoring and confirming basic health and functionality of front-end facing features via proprietary software for media orchestration
• Partnering with Senior Operators, Leads, and Supervisors to develop and document troubleshooting protocols for workflow issues
• Escalating issues to appropriate support resources and filing incident tickets as needed to track metrics related to outages

The ideal candidate will have:

• A minimum of 2 years of experience in a relevant technical, operational or digital media environment
• Working knowledge of live/on-demand streaming products
• Strong attention to detail
• Ability to operate independently with moderate guidance
• Ability to learn quickly and adapt to new situations
• Strong ability to multitask and work in a fast-paced, time-sensitive environment
• Availability to work flexible hours, including nights, weekends, and holidays

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The News ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across ABC News, Good Morning America, and local news stations.

As a Lead Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference, and monitoring, conduct in-depth data exploration and analysis, and collaborate across product, data, and engineering teams to power exceptional, personalized guest experiences.

Responsibilities and Duties of the Role:

• Own complex technical initiatives end-to-end, from technical design through production deployment and operational excellence
• Design and develop infrastructure supporting the full cycle of machine learning, including data pipelines and workflow orchestration, data discovery and quality tools, and feature libraries
• Drive data and ML-driven solutions for diverse engineering use cases such as recommendation systems, object detection, autogenerated tagging solutions, RAGs
• Partner with product, editorial, and engineering stakeholders to translate business requirements into robust technical solutions
• Strategically prioritize initiatives and technical workstreams to deliver the highest-impact and most time-sensitive outcomes, while proactively identifying, communicating, and mitigating risks to ensure successful execution
• Champion engineering best practices across code quality, testing, CI/CD, observability, and incident response
• Mentor and coach engineers, fostering a culture of ownership, collaboration, and continuous improvement
• Contribute to technical documentation and promote knowledge sharing across teams

Required Education, Experience/Skills/Training:

• Bachelor's degree in computer science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
• 7+ years of software engineering experience
• 5+ years of hands-on experience developing and deploying machine learning systems in production
• Expertise in data science, deep learning algorithms, or statistical methods to solve real-world engineering problems
• Comfortable operating at all levels of the predictive stack, including data collection, data analysis, feature engineering, batch training and low-latency online serving
• Experience designing and developing backend microservices for large-scale distributed systems using REST
• Experience with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
• Familiarity with developing and deploying Spark and ML pipelines
• Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka
• Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals
• Experience with observability tools for metrics, logging, and monitoring such as Datadog
• Experience working in Agile/Scrum development environments
• Excellent communication skills and a commitment to collaboration in a fast-paced, guest-focused environment

Job Data by YubHub.

The team is looking for someone with 5 years of relevant experience, a deep understanding of Swift, Apple Frameworks, and the Xcode ecosystem, and experience leading a team. You will be responsible for:

• Developing feature-rich native iOS, tvOS, and visionOS applications for iPhone, iPad, Apple TV, and Apple Vision Pro
• Identifying areas for growth within team processes and developing new systems for collaboration
• Writing clear, well-tested, performant code
• Working with other developers to create sustainable, well-architected solutions
• Managing production issues and solving novel problems
• Guiding an agile team and participating in the full lifecycle of application development
• Mentoring associate, mid-level, and senior team members

In return, you will have the opportunity to work on a cutting-edge and evolving technology stack, own substantial features shipped to millions of users, and influence the innovation of high-profile products in the digital news landscape.

The hiring range for this position in New York, NY is $150,900.00 - $202,400.00 per year and in Glendale, CA is $144,100.00 - $193,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

Job Data by YubHub.

Responsibilities and Duties of the Role:

• Be a critical member of a team of engineers responsible for building client app experiences in BrightScript, using the Roku SceneGraph SDK
• Contribute to the development of new application features from on-boarding to browse UI/UX experiences, analytics, video playback UI/UX and more
• Have the opportunity to contribute to the development of tools and systems outside of the Roku apps, such as JavaScript- & React-based web tools, gulp build scripts, AWS configurations, and Node.js services
• Work with Roku to vet new hardware, firmware and certification requirements from a client application perspective
• Collaborate closely with client SDK engineering, design engineering, services engineering teams and product owners to help understand and communicate requirements and device limitations
• Collaborate closely with backend and mobile engineers to ensure parity across implementations and platforms

Required Education, Experience/Skills/Training:

• 5+ years of development experience with a client-side development stack, ideally with some BrightScript experience
• Experience with MVVM (Model-View-ViewModel) architecture
• Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience

The hiring range for this position in New York, NY is $150,900.00 - $202,400.00 per year and in Glendale, CA is $144,100.00 - $193,200.00 per year.

Job Data by YubHub.

The Product Engineering team is a unified organization responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms , including product engineering, media engineering, quality engineering, and the engineering behind personalization, commerce, lifecycle, and identity , across streaming platforms including Disney+, Hulu, and ESPN+.

The Quality Engineering team is seeking a Principal Software Development Engineer in Test (SDET) to serve as the technical authority for backend services quality across our digital and streaming products. As a Principal engineer, you will set the strategy, architecture, and standards for automated testing of backend microservices and APIs, partnering closely with backend engineering teams to embed quality throughout the development lifecycle.

Responsibilities:

• Define and drive the vision, strategy, and roadmap for backend test automation and quality engineering across services and APIs; own end-to-end quality strategy for large-scale, business-critical backend projects, including test metrics, release criteria, and automation objectives.
• Lead the architecture of scalable, resilient test automation solutions for distributed backend systems (microservices, APIs, event-driven services); make high-impact decisions on frameworks, tooling, and integrations; partner with backend engineering to embed quality gates and automated validation throughout CI/CD pipelines.
• Go beyond prompting: actively use AI coding tools and agents to build production code, automated tests, internal skills, and quality tooling, and champion the adoption of AI-assisted engineering tools and workflows across the team.
• Serve as a coaching resource to SDETs and engineers org-wide; lead technical deep-dives and knowledge-sharing; build consensus on standardization of backend test tools and frameworks.
• Act as a force multiplier: lead design reviews, stand up new tools and practices, then transition ownership to other engineers so you can move to the next highest-leverage problem; handle escalations and mitigate complexity risk.
• Facilitate root cause analysis on high-severity incidents and communicate findings to leadership.
• Lead delivery of multiple concurrent backend quality initiatives in Agile environments; ensure rigorous governance over test traceability, coverage, and reporting.

Additional Expectations:

• Apply the same rigor to front-end/UI or client-side test automation when cross-functional priorities or coverage gaps require it.
• Define and track advanced quality metrics (escape rates, flakiness, reliability), implementing data-driven improvements.
• Participate in hiring and interviewing, and support the career growth and promotion readiness of other engineers.

Minimum Qualifications

• 10+ years of experience in quality engineering, automation, or software development, with recent leadership responsibility in large, complex backend/distributed engineering environments.
• Several years of hands-on experience working within a large-scale consumer streaming architecture (e.g., Disney+, Hulu, or a comparable OTT platform), with working knowledge of the backend services unique to that domain.
• Expert-level programming skills in Java, Python, and/or Node/JavaScript, with strong computer science fundamentals and proven expertise architecting and scaling test automation for distributed, cloud-native backend systems (microservices, REST/gRPC APIs, message queues, SQL/NoSQL data stores).
• Demonstrated experience using AI coding tools and agents to build production code, automated tests, and engineering tooling , not just to assist with prompting, but to meaningfully generate and ship working code, skills, and agents.
• Proven track record setting technical direction beyond a single team, driving consensus on backend architecture, and acting as a force multiplier for other engineers.
• Strong communication and stakeholder management skills; B.S. in Computer Science or equivalent practical experience.

Job Data by YubHub.