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Senior Software Engineer, Cloud Content Platform
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.
About the role
We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.
For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What you’ll be doing
- Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
- Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
- Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
- Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
- Remain significantly hands-on with critical features and architectural components
- Drive technical planning, prioritization, and execution aligned with business objectives
- Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
- Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
- Lead efforts in monitoring, observability, performance optimization, and production reliability at scale
We're excited if you have
- 10+ years of software engineering experience with significant time in technical leadership roles
- Proven expertise in building scalable, distributed, and streaming solutions in production environments
- Deep experience with content management systems, media processing, or publishing platforms
- Expert-level proficiency in Java or Scala required; Python experience is a strong plus
- Strong expertise in distributed systems architecture, microservices, and event-driven architectures
- Deep understanding of streaming technologies (Kafka, Redpanda, or similar
- Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
- Track record of leading complex technical projects from conception to production in high-scale environments
- Excellent communication skills and ability to influence technical decisions across teams and organizations
- Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
- Extensive experience with containerization and orchestration (Docker, Kubernetes
- Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems
#LI-SB-5
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Senior Platform Engineer (Cloud Workloads)
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are looking for a Senior Platform Engineer to join the Workload team within the Veeam R&D Department. You will own critical observability infrastructure, drive incident response maturity, and help scale proactive support capabilities as operational accountability.
What You’ll Do
- Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads
- Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services
- Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement
- Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden
- Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets
- Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations
Technologies we work with
- Elastic Stack — Elasticsearch, Kibana, Elastic Fleet, KQL, Query DSL
- Azure Kubernetes Service (AKS), Azure Container Apps, VMs
- Azure Security — Entra ID, Managed Identities (user/system assigned), App Registrations, Key Vault
- Infrastructure as Code — Azure Bicep, Terraform, or Pulumi
- CI/CD — Azure DevOps, GitHub Actions
- ITSM tooling — ServiceNow, Salesforce, Jira, Incident.io (for tenant and incident workflows)
What You’ll Bring
- 5+ years of experience in cloud platform engineering, SRE, or infrastructure roles supporting commercial SaaS products
- Deep hands-on experience with Elastic Stack: Building dashboards, writing KQL/Query DSL, managing Fleet
- Proven experience operating and troubleshooting distributed, multi-tenant workloads on Azure and/or AWS
- Strong understanding of Azure cloud services: AKS, Entra ID, Key Vault, Service Bus, Cosmos DB, Private Endpoints, etc.
- Experience with incident response in production cloud environments, including runbook development and post-incident review
- Experience with IaC tools (Azure Bicep, Terraform) and CI/CD pipelines (Azure DevOps, GitHub Actions)
- Strong scripting skills in Bash, Python, or PowerShell
- Ability to work cross-functionally with SRE, product, and customer-facing support teams
Bonus Skills
- Familiarity with Veeam Data Platform products
#LI-AA3
What you'll get
- Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Compensation Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is seeking an experienced AI Tooling Engineer to enhance our internal, web-based data and AI training tools. This role focuses on developing intuitive web interfaces that support key AI research functions, including robot data annotation, training dataset visualization, and experiment tracking. The ideal candidate has experience building rich, interactive web interfaces using React and TypeScript.
Responsibilities
- Design and build intuitive web interfaces for robot data annotation, datasets visualization, and experiment tracking
- Utilize data-driven techniques to optimize interfaces for efficiency and fast iteration cycles
- Integrate AI models to automate manual tasks
- Work together with AI researchers, robot operators, and annotators to support new user experiences
Requirements
- Strong software engineering fundamentals
- Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
- Minimum of 4 years of professional, full-time experience building rich, interactive web interfaces
- Proficiency in React and TypeScript
Bonus Qualifications
- Experience using data stores (Postgres, MySQL, ElasticSearch, Redis, etc.)
- Experience managing cloud infrastructure (AWS, Azure, GCP)
- Experience with Tailwind CSS
- Experience building data annotation and dataset management tools.
The US base salary range for this full-time position is between $150,000 - $250,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
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Apply to Figure
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.
Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.
Responsibilities
- Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
- Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
- Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
- Work together with AI researchers to support new kinds of data workflows
Requirements
- Strong software engineering fundamentals
- Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
- Minimum of 4 years of professional, full-time experience building reliable backend systems
- Experience with Linux and command line tools
- Experience with Python
- Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).
Bonus Qualifications
- Experience managing cloud infrastructure (AWS, Azure, GCP)
- Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
- Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
- Experience building data annotation and dataset management tools.
The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
Ready to apply?
Apply to Figure