About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. 

We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

About the Team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following: Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

About the Role 

We are building a next-generation observability and cloud platform that is high-performance, cost-efficient, secure, and scalable across multi-region, multi-cloud clusters. You will lead the architecture and evolution of Roku’s observability and cloud infrastructure stack. This includes metrics, logs, traces, telemetry pipelines, service mesh, developer experience, and reliability of systems that power thousands of services and millions of devices. 

You will drive a vision where developers gain deep visibility with minimal overhead, onboarding is seamless, and insights are available in real time. Your work will directly help Roku scale efficiently while maintaining reliability, cost control, and performance. 

What You’ll Be Doing 

• Architect and lead Roku’s observability platform across metrics, logs, and traces; evolve data pipelines and storage layers optimized for high throughput, performance, and cost at Roku scale (TSDBs, Parquet, distributed processing). 

• Extend and harden open‑source observability systems; overhaul core components (e.g., storage layers, query paths) to improve performance, reliability, and usability at scale. 

• Implement features such as pre‑aggregation, down-sampling, and sampling to reduce load and accelerate queries across the platform. 

• Collaborate across platform, SRE, and product teams to migrate hundreds of workloads to our common platform; augment and automate CI/CD flows and onboarding. 

• Integrate security into infrastructure and platform services; ensure robust multi‑tenant, multi‑cluster, and multi‑cloud designs. 

• Contribute improvements back to open source and CNCF‑aligned projects; shape standards adoption (OpenTelemetry, OpenMetrics) across the company. 

• Mentor engineers; establish best practices for reliability, efficiency, and cost management across service mesh and observability domains. 

What You'll have  

• Extensive experience with  software engineering with a track record of architecting distributed systems or platforms at scale. 

• Strong hands‑on experience in Golang and one scripting language (e.g., Python or Shell). 

• Experience operating observability at pb-scale ingestion and hundreds of millions of series. 

• Expertise in observability platforms and tooling (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, ClickHouse) and standards (OpenTelemetry, OpenMetrics).  

• Deep experience building systems of scale and operating cloud infrastructure with Kubernetes; strong proficiency with service mesh technologies (Istio/Envoy), infrastructure‑as‑code (Terraform) and experience in multi‑cloud (AWS, GCP) 

• Demonstrated ability to evolve storage and query architectures for cost, scale, and latency (e.g., TSDB, Parquet, distributed processing). 

• Proven experience integrating security as part of infrastructure and platform development.   

• Exceptional cross‑functional communication; effective collaboration with both technical and non‑technical stakeholders. 

• Culture fit: independent thinker, pragmatic problem‑solver, low‑ego collaborator who moves fast and focuses on company success. 

• Experience integrating AI tools to improve processes and reduce toil. 
• Open‑source contributions in CNCF projects is preferred but not mandatory.  

#LI-PA1

Your Impact at LILA

As a Scientist on our Physical Sciences team, you will contribute to the development of cutting-edge flow chemistry workflows. You’ll help design, build, and optimize flow chemistry platforms that integrate real-time analytics, advanced control strategies, and AI-driven decision-making. In this role, you’ll work closely with systems engineers and AI scientists to help expand autonomous chemistry capabilities and accelerate discovery at scale. 

What You'll Be Building

• Design & Commission: Architect and develop versatile flow chemistry platforms for autonomous synthesis, ensuring seamless integration with the Lila platform.
• Integrate & Scale: Build, control, and optimize flow reactors and inline analytics. Interface flow chemistry platforms with robotic and sensing systems. 
• Workflow Optimization: Tune flow chemistry platform design and software pipelines for high-throughput closed-loop experimentation with rich metadata capture. 
• Closed-Loop Execution: Collaborate with AI teams to run iterative experiments in real time, enabling fast optimization and discovery cycles.
• Collaboration & Documentation: Work with chemists, material scientists, engineers, and data scientists to document systems, share insights, and refine best practices in autonomous flow chemistry.

What You’ll Need to Succeed

• Ph.D. or M.S. in Chemical Engineering, Chemistry, or a related field. 
• ≥ 1 years (for PhD, 4+ years for M.S ) of hands-on experience in flow chemistry, microfluidics, or microreaction engineering. 
• ≥ 1 years of experience with automation, instrumentation, and integrating real-time analytics into experimental workflows. 
• Strong background in homogeneous chemical catalysis and organic synthesis. 
• Proficiency in Python for scripting, data analysis, and instrument control. 
• Excellent problem-solving, communication, and collaboration skills. 

Bonus Points For 

• Prior experience working in an autonomous or self-driving lab chemical lab environment driving organic chemistry transformations. 
• Familiarity with cloud-based instrumentation control and orchestration.
• Hands-on experience with AI-driven experimental design or Bayesian optimization.
• Background in scaling workflows from proof-of-concept to routine, high-throughput operation.
• Contributions to open-source lab automation or scientific software projects.

Your Impact at LILA

As a member of our team in the Physical Sciences division, you will design and build intelligent agent-driven systems that enable AI-accelerated and AI-orchestrated process engineering across a broad range of industrial applications. The core mission of this role is to develop methods by which AI agents can reason about, design, simulate, optimize, and operate complex physical and chemical processes using existing or ML-driven process engineering tools. You will focus on creating agentic infrastructures that allow AI systems to plan and execute multi-step process engineering workflows, ranging from process synthesis and flowsheet generation to steady-state and dynamic simulation, control strategy design, and techno-economic evaluation. Your work will directly shape how Lila’s scientific superintelligence performs closed-loop autonomous process engineering to solve real-world problems.

What You'll Be Building

• Architect and implement agentic frameworks that support end-to-end process engineering workflows, including process setup, simulation, optimization, and analysis.
• Develop AI agents capable of autonomously planning, executing, and iterating on process engineering tasks using existing tools (e.g., steady-state and dynamic simulators, optimizers, and data systems).
• Explore agentic approaches for advanced tasks such as process intensification, control co-design, real-time optimization, and closed-loop learning from operational data.
• Improve robustness, interpretability, and reproducibility of agent-driven process engineering workflows; build internal tooling for debugging, observability, validation, and auditability.
• Work with interdisciplinary teams to apply agentic process engineering to a broad range of industrial applications

What You’ll Need to Succeed

• PhD or equivalent experience in Chemical Engineering, Industrial Engineering, Systems Engineering, or a closely related field.
• Research experience in method development for process engineering, a strong publication record in this area or established industry experience
• Hands-on experience with process simulation and optimization tools (commercial or open-source), including steady-state and dynamic modeling.
• Proficiency in Python and scientific/engineering computing ecosystems
• Experience integrating external engineering tools or simulators into automated workflows via APIs, scripting interfaces, or custom wrappers.
• Familiarity with distributed systems, HPC environments, cloud platforms, or scalable compute infrastructure.

Bonus Points For

• Experience developing or integrating agentic frameworks, autonomous planners, or multi-step tool-using AI systems for engineering or scientific domains.
• Experience building computational pipelines, automation systems, or tool-use frameworks for complex engineering or scientific workflows.
• Experience with digital twins, real-time optimization, or model-predictive control frameworks.
• Background in techno-economic analysis (TEA), life-cycle assessment (LCA), or sustainability-driven process design.
• Contributions to open-source engineering software, ML infrastructure, workflow engines, or agent frameworks.

Your Impact at LILA

As a member of our team in the Physical Sciences division, you will shape the ML- and agent-driven infrastructure that enables Lila’s scientific superintelligence to autonomously construct, execute, and interpret complex physics simulations. Your work will focus on building the core systems that allow AI agents to reason over and control computational experiments, spanning from electronic structure calculations to surrogate-driven atomistic modeling, and beyond. Your work will directly influence how autonomous computational processes will explore chemical and materials landscapes with unprecedented autonomy and robustness.

What You'll Be Building

• Architect and implement agentic frameworks that support dynamic, multi-stage simulation workflows for scientific tasks
• Develop pipelines enabling agents to autonomously plan, schedule, execute, and interpret computational tasks at scale
• Build integration layers and APIs that connect ML models, large-scale simulation engines, databases, and heterogeneous compute platforms.
• Work with AI researchers to productionize agent behaviors, including tool-use strategies, simulation-aware decision loops, and adaptive task planning.
• Improve the robustness, modularity, performance, and reproducibility of agent-driven computational workflows; build internal tooling for debugging, observability, and validation.

What You’ll Need to Succeed

• MS/PhD or equivalent experience in Computer Science, ML/AI, Scientific Computing, or a related technical field.
• Strong experience building ML-driven pipelines, workflow systems, or tool-use frameworks, ideally for complex or scientific applications.
• Proficiency in Python and ML ecosystems; experience with one or more compiled languages (e.g., C++, Rust, Julia) is beneficial.
• Familiarity with large-scale scientific or engineering software, including integrating external tools into automated computational workflows.
• Experience with distributed systems, HPC environments, cloud platforms, or accelerator-based computing.
• Deep understanding of modern ML architectures and their deployment in production systems (e.g., GNNs, transformers, diffusion models, multimodal or tool-using models).
• Strong engineering fundamentals: reproducibility, testing, modular design, CI/CD, and scalable ML operations.

Bonus Points For

• Experience developing or integrating agentic frameworks, autonomous ML pipelines, or multi-step tool-using agents, particularly for scientific applications
• Background in large-scale simulation frameworks, scientific workflow orchestration, or automated computational experiment platforms.
• Contributions to open-source ML infrastructure, workflow engines, agent frameworks, or scientific software ecosystems.
• Familiarity with data-centric engineering practices: streaming systems, provenance tracking, distributed metadata services, or large-scale data orchestration.
• Experience with workflow orchestration systems (e.g., Flyte, Prefect, Airflow) and container orchestration (Kubernetes).
• Familiarity with materials science simulation codes (VASP, LAMMPS) or workflow frameworks (atomate, aiida) is a plus but not required.
• Expertise in advanced ML techniques relevant to agentic reasoning (planning models, self-improving systems, multi-tool agents, RLHF/RLAIF workflows).

Your Impact at LILA

We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend systems, data pipelines, and AI integrations that power intelligent, data-driven applications. You’ll work at the intersection of backend engineering and machine learning, ensuring our platform seamlessly scales and supports cutting-edge applied AI techniques such as Retrieval-Augmented Generation (RAG), agentic AI, and large language model (LLM) integration.

This role is ideal for someone who thrives in bridging software engineering and applied AI—turning research into production-grade systems that drive real-world scientific discovery. If you are passionate about building performant, elegant systems that make AI useful and impactful, we would love to hear from you!

What You'll Be Building

• Applied AI Integration: Design and deploy backend services and data pipelines that directly support advanced AI applications, including LLMs, RAG, and agentic frameworks.
• API & Service Development: Build high-performance APIs and microservices that enable seamless integration between AI models, scientific tools, and user-facing applications.
• Data Pipeline Architecture: Architect and manage scalable pipelines capable of handling structured, unstructured, and vectorized data for AI/ML workloads.
• Database & Knowledge Systems: Implement and optimize SQL, NoSQL, and vector databases to support low-latency AI retrieval and inference workloads.
• Cloud & Infrastructure: Leverage AWS, Kubernetes, and infrastructure-as-code (Terraform/CloudFormation) to build robust, production-ready AI platforms.
• Performance & Reliability: Diagnose system bottlenecks, optimize for cost and speed, and ensure the reliability and fault-tolerance of AI-driven workflows.
• Collaboration: Partner with ML researchers, platform engineers, and scientists to translate models and algorithms into scalable, production-ready systems.

What You’ll Need to Succeed

• Educational Background: Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• Backend & Data Expertise: 7+ years of professional experience building and scaling production systems, including APIs, data pipelines, and distributed services.
• Programming Skills: Strong Python skills (FastAPI, Flask, Django), with solid experience in backend service development.
• Databases: Proven experience with SQL, NoSQL, and vector databases; skilled in schema design, indexing, and query optimization.
• Applied AI Systems: Hands-on experience integrating ML models or AI-driven workflows into production services.
• Cloud & DevOps: Proficiency with AWS, Docker/Kubernetes, CI/CD pipelines, and infrastructure-as-code.
• Communication & Problem-Solving: Ability to work cross-functionally with diverse teams and explain complex technical concepts to non-experts.

Bonus Points For

• Scientific & Data-Intensive Domains: Experience working with life sciences, materials sciences, or other research-heavy fields.
• Startup Experience: Comfort with fast-paced, iterative environments where impact and adaptability matter.

Overview:

Description:

Minimum Qualifications:

Education:

•  A minimum of a Bachelor's degree is required.

ABOUT PIONEERING INTELLIGENCE

Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond.

Position Summary 

We are seeking a Senior Front End Engineer. As a key contributor in this early-stage initiative, you will architect and implement the user experience for a new platform that leverages large language models (LLMs) and AI agents to enhance complex, high-stakes workflows. This is a user-first, AI-augmented product — your work will transform abstract reasoning tasks into intuitive, high-performance tools that empower experts across diverse research domains. You will lead front-end development and collaborate closely with engineers, AI scientists, product designers, and end users. This is a rare opportunity to shape a greenfield product at the intersection of usability, flexibility, and advanced reasoning. 

Key Responsibilities 

• Architect, develop, and maintain high-quality, testable front-end code and workflows aligned with complex scientific and analytical use cases. 
• Translate user stories, wireframes, and prototypes into production-ready features emphasizing clarity, maintainability, and reusability. 
• Implement responsive, accessible, and performant UIs optimized for data-rich, interactive workflows. 
• Ensure security, scalability, and observability of front-end services in cloud environments (AWS). 
• Design and implement user interfaces from scratch, combining strong visual design with robust engineering. 
• Create and maintain scalable, consistent, and visually appealing UI components using a modern React.js stack. 
• Maintain front-end quality through comprehensive testing and validation of user flows and interface behavior. 
• Develop and maintain test suites (unit, integration, and end-to-end) for UI reliability. 
• Apply DevOps/GitOps practices for automated testing, deployment, and monitoring. 
• Mentor engineers and scientists, driving technical quality and ensuring extensibility and performance across evolving use cases. 

Qualifications 

• B.S. in Computer Science, Engineering, or related field, with 6+ years of professional software development experience. 
• Expertise with modern front-end frameworks and tools, including React.js, TypeScript, Tailwind CSS, Redux Toolkit, Playwright, and Shadcn. 
• Strong experience with Node.js. 
• Skilled in writing and maintaining comprehensive test suites (Jest, React Testing Library, Cypress). 
• Experience with system design, performance optimization, observability, and operational excellence for parallel LLM workloads. 
• Strong intuition for UX design and a passion for building intuitive, workflow-first products. 
• Excellent communication skills and a collaborative mindset in fast-moving, cross-functional environments. 

Preferred Qualifications 

• Background in scientific domains such as biology, chemistry, or complex systems (a plus, not required). 

Why Join Us 

By joining this initiative within Flagship’s Pioneering Intelligence group, you will: 

• Help define a new category of intelligent software tools for real-time human–AI collaboration. 
• Build a greenfield product at the intersection of usability, reasoning, and scientific innovation. 
• Collaborate with visionary thinkers and top-tier researchers across Flagship’s ecosystem. 
• Thrive in a supportive, mission-driven culture with access to world-class technical and operational resources. 
• Shape the future of AI-powered discovery in a role that combines engineering excellence with health impact. 

About Flagship Pioneering

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

#LI-MB1

The salary range for this role is $108,000 - $176,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Pioneering Intelligence currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Intelligence's good faith estimate as of the date of publication and may be modified in the future.

COMPANY DESCRIPTION

Extuitive is a Flagship Pioneering–backed startup reimagining product innovation for the AI era. Our mission is to empower entrepreneurs and direct-to-consumer (D2C) brands with AI-driven tools that simplify, accelerate, and scale the launch of new products. Based in Cambridge, MA, we operate like a special ops unit—fast-moving, data-driven, and relentlessly focused on impact.

THE ROLE

As a Principal Backend Engineer, you’ll be a technical leader responsible for architecting, building, and scaling the core backend systems that power our platform. You’ll drive the design of high-throughput services, resilient data pipelines, and integrations with mission-critical third-party providers. Working closely with product managers, designers, and engineering leadership, you’ll translate complex requirements into robust, elegant systems that support rapid growth. You’ll mentor engineers, influence long-term technical strategy, and help evolve our platform architecture to maintain security and reliability as we scale.

KEY RESPONSIBILITIES

• Own Core Backend Systems – Design, build, and maintain scalable services, APIs, and platform infrastructure. Ensure reliability, observability, and maintainability.
• Drive Large-Scale Data Pipelines – Architect and operate high-volume, resilient data pipelines for ingestion, transformation, and analytics.
• Lead Third-Party Integrations – Build and maintain integrations with external vendors, ensuring reliability, observability, and long-term maintainability.
• Influence Architecture & Best Practices – Shape backend architecture, coding standards, testing frameworks, CI/CD pipelines, and operational excellence.
• Mentor & Lead Engineers – Provide guidance on system design, debugging at scale, and engineering practices.
• Wear Multiple Hats – Support DevOps, troubleshooting, or other platform needs when necessary.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• 8+ years of backend engineering experience.
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
• Strong expertise in backend languages and frameworks (Node.js/TypeScript, Go, Python, or similar).
• Experience designing scalable distributed systems, microservices, and event-driven architectures.
• Deep experience with third-party integrations, REST/GraphQL APIs, webhooks, and rate-limited services.
• Proficiency with SQL/NoSQL databases, data pipelines, and performance optimization.
• Familiarity with cloud platforms (AWS, GCP) and containerized/deployed systems (Docker, Kubernetes).
• Strong testing, CI/CD, and observability practices.
• Comfortable working in a fast-paced, evolving environment with minimal oversight.

Nice to Have 

• Experience building and shipping features quickly in early-stage startups.
• Exposure to multiple backend domains (analytics, payments, notifications, workflow orchestration).
• Hands-on experience with serverless or edge architectures for rapid iteration.
• Familiarity with low-friction integrations with third-party tools and SaaS platforms.
• Track record of scaling systems from small MVPs to production-ready services.
• Comfort with ambiguity and making trade-offs between speed, quality, and maintainability.

ABOUT FLAGSHIP PIONEERING:

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $152,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Extuitive, Inc. currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Extuitive, Inc.'s good faith estimate as of the date of publication and may be modified in the future.

Philo: a streaming service for TV and movie lovers

At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.

Data at Philo

Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo’s data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company.

Philo’s Data Engineering team encompasses both data engineering and analytics engineering, and we’re looking for people who are comfortable working on complex data infrastructure and modeling challenges that support critical business functions across our streaming services. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack. In addition, you’ll work with departments across the organization to understand their data needs and deliver high-performance, reliable data systems to help the entire team thrive.

We are passionate about building robust, scalable data infrastructure and providing a high-quality data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. To complete our work, we build on modern tools including AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, BigEye and more.

Some of the recent projects that data and analytics engineers at Philo have worked on include building new models for key financial data, dbt model design, data warehouse cluster upgrades and maintenance, per-query infra cost optimization, implementation of Apache Iceberg data storage, benchmarking & improving data warehouse performance, and evaluating alternative data warehouse technologies.

The Role

We're seeking a senior technical and foundational leader to own and drive the vision, strategy, and execution of our Data Engineering team, encompassing both the data engineering and analytics engineering  functions at Philo. This is a strategic and high-impact role: you'll set the long-term direction for our entire data platform, lead and grow a team of data and analytics engineers, and roll up your sleeves to architect and build alongside them. The ideal candidate has owned both disciplines before — data infrastructure and analytics engineering — and brings strong opinions on how to structure a high-velocity, high-trust data organization. 

Responsibilities:

• Own the vision and technical strategy for data engineering and analytics engineering at Philo, setting the direction for how data is ingested, modeled, and delivered across the organization
• Own the team’s roadmap, balancing strategic long-term investments with near-term stakeholder needs
• Lead and grow the Data Engineering team, including hiring, career development, performance management, and supporting the team in generally thriving
• Lead the design and implementation of Philo's data platform architecture, including  setting technical standards and best practices for data engineering and analytics engineering work
• Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions
• Build and maintain stakeholder trust in data and reporting — ensuring that business teams have reliable, well-documented, and well-understood data products
• Design scalable data pipelines and infrastructure; drive technical decisions with a focus on long-term sustainability
• Implement data governance, security, and quality control processes as needed
• Ultimately, deliver on the alchemy of transforming raw, messy application data into trusted business insight through scalable dimensional modeling and a metric layer that faithfully reflects product and customer behavior.

Key Qualifications:

• 10+ years of professional experience spanning data engineering and analytics engineering, ideally with a few years working on high-volume data platforms
• 4+ years of experience managing and leading data teams, with demonstrated experience owning both data engineering and analytics engineering functions at a prior organization
• Deep expertise in modern data stack technologies, particularly AWS data services, Snowflake, dbt, Airflow, Airbyte, Python, and SQL
• Deep expertise in analytics engineering, including dbt model design, dimensional modeling, and delivering trusted, business-facing data products
• Strong people management skills with experience providing coaching, performance feedback, and career development guidance to direct reports.
• Track record of improving stakeholder trust in reporting and data quality across an organization
• Strong track record of designing and implementing data platforms
• Excellent communication skills with technical and non-technical stakeholders, simplifying complex data concepts for various business audiences

Ideal Qualifications:

• Experience in media/streaming industry with understanding of video delivery analytics and metrics
• Demonstrated experience driving organizational alignment around data definitions, metrics, and a single source of truth
• Experience with data governance and compliance requirements
• Background in implementing data quality frameworks

More about Philo

At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.

We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs.

Philo offers 70+ top-rated networks streaming live and on-demand, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+.

Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.

Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E.

Join us at Philo and be part of a team that's shaping the future of TV!

Status: Full-time
Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S.
Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:

• San Francisco, New York City: $240K - $275K
• Boston, DC Metro, Los Angeles, Seattle: $225K - $260K
• Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $215K - $250K
• Texas, Florida: $200K - $235K

We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:

• Full health, dental and vision coverage for you and your family
• 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
• Flexible working hours
• Up to 20 weeks of fully paid parental leave
• Unlimited paid time off for vacation and sick leave
• $2,000 annual vacation bonus (we pay you to take a two week vacation)
• $5,250 annually for professional development and educational assistance
• $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
• $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
• Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
• Dog-friendly office
• And much more!

For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

BrightSign, the global market leader in digital signage media players, seeks an experienced software test engineer to join their embedded development team.  In this role you will have primary ownership of the CI/CD pipeline and associated test systems for BrightSign’s embedded products, predominantly but not exclusively Linux-based media players.

Responsibilities
•    Develop and maintain automated test infrastructure, both hardware and software
•    Design, architect and develop improvements to build infrastructure for performance, maintainability and cost optimisations
•    Monitor and report on quality metrics derived from local testing and field reports
•    Assist software development teams in resolving issues with build, test or deployment
•    Work with product management and other internal stakeholders to prioritise activities appropriately

 Qualifications and Skills
•    Degree in engineering, computer science or related discipline
•    Minimum 5 years industry experience in a professional software environment
•    Familiarity with Yocto/OpenEmbedded
•    Experience with Python, JavaScript and shell scripting
•    Experience of Linux systems (as a user, not necessarily a developer or administrator)
•    Excellent communication skills; written and verbal
•    Attention to detail
•    Ability to work independently with minimal supervision

Desirable
•    Previous experience of digital multimedia or networked systems
•    Experience with Kubernetes, AWS and similar cloud technologies
•    Familiarity with Gerrit, GitHub and/or other code review systems