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$60 - $120/hourpayPythonRustGoLangFull-stackJAVANode.jsAndroid DevelopmentiOS DevelopmentAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js., • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements., • Write clean, efficient, and well-documented code, following best software engineering practices., • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability., • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement., • Contribute to the full software development lifecycle, from concept and design to testing and deployment., • Maintain clear, concise, and thoughtful written and verbal communication across distributed teams. Required Skills and Qualifications: • 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack)., • Proficiency in building scalable, reliable, and maintainable software systems., • Experience working in remote, collaborative, and agile environments., • Expertise in modern development tools, version control systems, and CI/CD pipelines., • Strong problem-solving skills with keen attention to detail., • Excellent written and verbal communication skills, with a high standard for clarity and professionalism., • Self-driven, proactive, and able to work independently in a distributed setting. Preferred Qualifications: • Experience with cloud platforms such as AWS, GCP, or Azure., • Knowledge of DevOps principles and containerization technologies., • Background in mentoring or leading small engineering teams.

Job Description Requirement: Role: DevOps Engineer Location: Burbank, CA Duration: Contract – 12 Months Interview process: Phone/Video JobDescription: Top Skills: Media industry, AWS, EC2, Kubernetes, and Couchbase • Contribute to the technical strategy and vision for enterprise,global DevOps initiatives, while working closely with international teams tomeet SLA’s and project deadlines, • Collaborate with international operations, product, and softwareengineering teams to develop and implement DevOps solutions, • Design, implement, and maintain Continuous Integration,Continuous Delivery, and Continuous Deployment pipelines while adhering toindustry-standard best practices, • Analyze software deployment and release requirements forprojects and provide recommendations for release management strategy, • Provide DevOps technical expertise, as well as SystemsEngineering expertise, • Administer, maintain, and support CI/CD software tools andsystems, • Support Hybrid environment of AWS and on-prem VMWare withKubernetes and Docker, • Automate and/or improve upon software delivery pipeline featuresand functionality, • Automate manual processes for general system administration andmaintenance, • Resolve technical issues while working independently, andfacilitate escalation with DevOps and Systems Engineering teams, • Identify gaps and bottlenecks in deployment pipelines andrecommend solutions or suitable alternatives in support of a growing DevOpsfootprint, • Execute and deliver the end-to-end DevOps solutions Qualifications: • Bachelor's degree in Computer Science or equivalent workexperience, • Strong knowledge and experience with designing and implementingtechnical solutions in support of Continuous Integration, Continuous Delivery,and Continuous Deployment, • Strong experience building global, highly scalable webapplications with automated environments leveraging AWS (Azure or GCPexperience would be considered), • Strong experience with AWS services: API Gateway, DynamoDB, EC2,ELB, IAM, Lambda, RDS, Route 53, S3, and VPC, • Strong experience designing and implementing high availabilityand Auto Scaling for AWS services Proven success working in a team-oriented, agile environment,participating in daily standup meetings, and completing objectives for eachsprint • 5 years’ experience developing and managing software deliverypipelines using build tools including Git, Jenkins, Maven, and Gradle, • 5 years’ experience with Salt or other Systems ConfigurationManagement (SCM) tool: Ansible, Chef, Puppet, or Terraform, • 3 years’ experience administering/maintaining/supporting Dockerand Kubernetes, • Scripting experience with BASH preferred, including knowledge ofPython, Ruby, or other, • Strong analytical and troubleshooting skills, including theability to isolate an issue, • Experience with Git or otherSource Code Management system, and designing branching strategies Best Regards Krishna Chalasani Recruitment Lead 1231Greenway Drive | Ste 375 | Irving, TX 75038 E-mail: krishna@icsglobalsoftinc.com Office:972-483-5871 | Cell: 469-301-7520 LinkedIn NMSDCCertified | Certified Minority Business Enterprise (MBE), SBE | An E-Verifycompany Accordingto Bill S.1618 Title III passed by the 105th US Congress, this message is notconsidered as "Spam" as we have included the contact information. Ifyou wish to be removed from our mailing list, please respond with"remove" in the subject field. We apologize for any inconveniencecaused.

Job Description About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role: We are looking for a skilled Lead Full-Stack Engineer (Tech Lead) to join our team. This role is both hands-on and leadership-oriented, requiring the ability to lead technical conversations, contribute to architectural decisions, and guide engineering efforts across the full stack. The ideal candidate will own end-to-end feature delivery, actively contribute to development, and play a key role in shaping technical direction by evaluating existing systems and driving architectural decisions that support future scalability. You will work closely with client stakeholders, product, and engineering teams, participating in ongoing discussions, providing technical insight, and ensuring alignment between business needs and technical execution. Key Responsibilities: • Own end-to-end feature delivery across the full stack (React, Node.js, database layer), • Lead technical discussions with stakeholders and contribute to client-facing conversations around system design and implementation, • Design and drive architectural decisions including API design, data modeling, service boundaries, and caching strategies, • Evaluate existing systems and contribute to defining scalable, forward-looking solutions, • Set and maintain a high bar for code quality through reviews, tooling, and best practices, • Profile performance and debug issues across the stack, from browser to backend systems, • Design and maintain scalable search infrastructure, with a focus on Algolia, • Provide guidance to engineers and support coordination of development efforts across the team, • Participate in incident response, post-mortems, and long-term reliability improvements, • Collaborate cross-functionally with product, design, and leadership teams to deliver high-impact featuresRequirements:, • 7+ years of experience in full-stack software engineering, • Proven ability to contribute to architectural decisions and system design in complex environments, • Hands-on experience leveraging AI tools (e.g., LLM-based assistants) to improve development workflows, including code generation, debugging, testing, and overall engineering efficiency, • Strong expertise in JavaScript and TypeScript, • Advanced experience with React (hooks, modern patterns, performance optimization), • Strong backend development experience with Node.js, • Experience designing REST and/or GraphQL APIs, • Strong knowledge of relational databases (PostgreSQL preferred), including query optimization and indexing, • Experience with caching systems such as Redis, • Familiarity with authentication patterns (JWT, OAuth, session management), • Experience with CI/CD pipelines and modern cloud environments (AWS, GCP, or Azure), • Strong understanding of observability, logging, and system reliability, • Excellent communication skills with the ability to participate in technical discussions with both engineering teams and stakeholdersNice to have:, • Strong hands-on experience with Algolia (highly preferred), • Experience with Next.js, React Server Components, or micro-frontend architectures, • Experience with message queues (Kafka, RabbitMQ, SQS), • Familiarity with serverless or edge runtimes, • Experience with Docker and containerized environments, • Exposure to Kubernetes or infrastructure-as-code tools (Terraform, Pulumi), • Experience with domain-driven design or clean architecture principles, • Experience mentoring engineers or contributing to open-source projects Location: • Beverly Hills, CA (On-site 3 days per week)Employment type:, • W2 What we offer: • Unlimited PTO, • Health + Dental + Vision + Life Insurance, • Long Term disability + 401k Match, • Professional Development Opportunities Expected Compensation • 150k - 170k annual salary + benefits *Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR

Job DescriptionDescription: Position Title: Infrastructure Engineer Location: Burbank, CA Reporting To: VP, Infrastructure Technology Legendary Entertainment is a leading media company with film (Legendary Pictures), television and digital (Legendary Television and Digital Media) and comics (Legendary Comics) divisions dedicated to owning, producing, and delivering content to worldwide audiences. Legendary has built a library of marquee media properties and has established itself as a trusted brand which consistently delivers high-quality, commercial entertainment including some of the world's most popular intellectual property. In aggregate, Legendary Pictures-associated productions have realized grosses of more than $20 billion worldwide at the box office. To learn more visit: www.legendary.com. Summary The Infrastructure Engineer is responsible for the design, administration, and optimization of Legendary’s hybrid IT infrastructure. This includes core systems across on-premises data centers, cloud environments (AWS, Office 365), and production SaaS platforms (Box, Frame.io, Elements, NetApp, Synology). The role ensures system reliability, scalability, and security while supporting production and corporate teams. This position operates as a senior individual contributor (IC) within the Technology team, reporting to the VP, Infrastructure Technology. Responsibilities • Infrastructure & Systems Administration, • Manage and maintain datacenter systems, including VMware, Aspera, and on-prem server infrastructure., • Oversee corporate and production storage platforms (NetApp, Synology, Elements)., • Implement and maintain system backups for server and on-set production data., • Integrate and optimize new storage solutions for evolving production needs., • Cloud & SaaS Management, • Serve as platform owner for Box, Frame.io, and Office 365 environments., • Administer AWS resources and external DNS., • Ensure seamless integration between SaaS platforms and corporate infrastructure., • Device & Identity Management, • Act as platform owner for Intune and Jamf MDM systems., • Manage identity integrations and app assignments within Okta and Active Directory., • Oversee domain management and system access provisioning., • Security & Operations, • Define and enforce security policies across all managed systems., • Retrieve, review, and act on system and application logs for incident response., • Support Tier 2 and Tier 3 escalations; collaborate with Service Desk, Cyber Security, and IT Operations teams., • Innovation & Support, • Evaluate and test new infrastructure products and workflows., • Provide user interface training and operational support., • Support on-site production environments, including infrastructure assessments and troubleshooting.Requirements:, • 5+ years of experience in systems engineering or infrastructure administration., • Expertise in VMware, NetApp, AWS, Office 365, and MDM solutions (Intune/Jamf)., • Strong understanding of identity management and security architecture (Okta, AD)., • Proven ability to manage hybrid (on-prem + cloud + SaaS) environments., • Excellent communication, collaboration, and documentation skills., • Bachelor’s degree in Computer Science, Information Systems, or related field (preferred)., • Microsoft, VMware, or AWS certifications a plus., • Operates independently with ownership of multiple critical platforms., • Balances production support urgency with long-term infrastructure planning., • Demonstrates a proactive, solutions-driven mindset.

Job Description SUMMARY: The Analytics Engineer is responsible for designing, building, and maintaining scalable analytics data models and business intelligence solutions that enable data-driven decision-making across the Company’s vertically integrated operations, including cultivation, manufacturing, wholesale, retail, compliance, and supply chain. This role partners closely with Data Engineering and cross-functional stakeholders to translate complex business requirements into reliable, well-structured datasets, dashboards, and actionable insights, while helping establish and maintain standards of analytics, best practices, and scalable processes to support the continued growth and maturity of the Company’s data function . ESSENTIAL FUNCTIONS AND RESPONSIBILITIES (this list is not all inclusive) • Designs, develops, and maintains scalable analytics data models using dbt, supporting end-to-end workflows from staging to curated analytics marts., • Ensures data models are production-ready, reliable, well-documented, and optimized for reporting and downstream analytics use cases., • Partners with Data Engineering to build and maintain efficient, scalable, and sustainable data pipelines., • Translates business requirements into structured datasets, semantic layers, and actionable insights to support operational and strategic decision-making., • Develops, maintains, and enhances Tableau dashboards and reports using analytics-engineered data models., • Enables self-service analytics by delivering clean, trusted, and accessible datasets to business users., • Applies strong SQL and data modeling practices to ensure high-performance query execution and data integrity., • Utilizes Python for data processing, automation, and analysis where applicable., • Participates in version control processes using Git, including code reviews, documentation, and collaboration workflows., • Supports orchestration and scheduling of data workflows using tools such as Airflow or similar frameworks., • Establishes and promotes analytics engineering standards, including testing, documentation, and deployment best practices., • Collaborates with cross-functional teams to ensure alignment between data solutions and business objectives., • Works independently with minimal oversight, applying critical thinking and problem-solving skills to deliver high-quality outcomes., • Executes ad hoc projects as assigned by direct supervisor. CORE COMPETENCIES • Demonstrates strong analytical, problem-solving, and critical-thinking skills with a high level of attention to detail. Ability to synthesize complex data sets, identify trends, and translate findings into actionable business insights. Approaches problems with structured thinking and develops scalable, data-driven solutions., • Takes full ownership of data models, dashboards, and deliverables, ensuring accuracy, reliability, and integrity. Proactively identifies risks, gaps, and inconsistencies, and implements solutions to mitigate impact to the business., • Demonstrates a strong understanding of how data supports operations across retail, cultivation, manufacturing, and supply chain. Aligns analytics solutions with business priorities, compliance requirements, and strategic objectives., • Works effectively across teams, building strong relationships with both technical and non-technical stakeholders. Demonstrates excellent verbal and written communication skills, with the ability to translate complex technical concepts into clear, actionable insights., • Communicates data insights in a clear, concise, and compelling manner. Translates complex analyses into meaningful narratives that support informed decision-making at all levels of the organization., • Demonstrates the ability to work independently, manage competing priorities, and deliver results in a fast-paced, evolving environment. Remains flexible and solution-oriented while continuously identifying opportunities to improve processes, tools, and data quality., • Exhibits a proactive mindset in exploring new tools, technologies, and methodologies. Challenges assumptions and introduces improvements that enhance analytics capabilities and operational efficiency., • Effectively prioritizes workload, manages multiple projects, and consistently delivers high-quality outputs within established timelines. Maintains accountability and a strong sense of urgency in achieving results., • Demonstrates the ability to be flexible and work effectively across various sectors of the department as needed or requested by a direct supervisor. This includes the capacity to support other departments, ensuring seamless collaboration and responsiveness to organizational needs. PHYSICAL REQUIREMENTS • Constantly: Walking, sitting at a desk, grasping/gripping, bending/stooping/squatting, finger dexterity, computer input, coordination of hand and eye., • Frequently: Standing for long periods of time, climbing stairs, and twisting., • Occasionally: Reaching above shoulder height, lifting 20-30 lbs., ability to do push/pull motions., • Constantly: Use visual display terminals (e.g., computers, tablets) for extended periods of time., • Ability to work in a stressful, fast-paced environment, • Occasionally: Travel to Company locations. EDUCATION AND EXPERIENCE REQUIRED ● Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field, or equivalent practical experience. ● Advanced proficiency in SQL, with the ability to write efficient, scalable, and well-structured queries for analytics and data transformation. ● Hands-on experience with modern cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). ● Experience designing, building, and maintaining dbt projects, including staging, transformation, and analytics layers. ● Proven experience developing and maintaining Tableau dashboards and reporting solutions. ● Experience using Python for data processing, automation, or analysis (e.g., pandas, numpy). ● Familiarity with data orchestration frameworks such as Airflow and understanding of workflow scheduling and monitoring. ● Experience using Git for version control, including collaboration and code review workflows. ● Understanding of analytics engineering best practices, including testing, documentation, and deployment processes. ● Exposure to CI/CD practices for data or analytics workflows, preferred. ● Experience working within cloud-based environments (e.g., AWS, GCP) and familiarity with DevOps tools (e.g., Docker, Kubernetes) is a plus. ● Experience working with complex data models and integrating multiple data sources across business domains. ● Exposure to multi-domain analytics environments, including retail, supply chain, manufacturing, or regulated industries such as cannabis, is highly desirable. Must be 21+ years old and pass a criminal background check requirement

Job Description Founded in 2000, FAM Brands designs, manufactures, and sells men's and women's sportswear and active wear apparel to major retailers, big box stores, and specialty boutiques across the country and throughout the world. Our portfolio of proprietary brands features Marika, Wildfox, Three Dots, and Balance Collection, while a partial list of licensing partners includes Orvis, Jessica Simpson, Eddie Bauer, and Woolrich. With the capacity to produce over 75 million units per year, our mission continues to be making top-quality apparel accessible to everyone at an impressive value and an irresistible price. That's the FAM Brands difference. SUMMARYAI Operations as a Core Mandate DevOps alone is not sufficient for this role. The AI Operations dimension is equally critical. This individual is expected to own the operational governance, monitoring, reliability, cost management, and scalability of AI systems across the enterprise. As FAM deploys more AI-enabled workflows and integrations, AI Ops becomes a strategic function, not a secondary consideration. This role is one of two foundational pillars of FAM's emerging modern infrastructure and technology leadership team. Together with the Senior AI Architect, this individual helps establish the operational and engineering leadership foundation the practice needs to scale sustainably Business Engagement Expectation Like the Architect role, this individual is expected to lean into the business. They will work directly with functional teams to understand scaling requirements, identify operational friction points that create business impact, and help design AI solutions that are production-ready and operationally sound from day one. This is not a back-office role. Core Mission Build and mature the operational backbone required to scale AI systems, integrations, and automation services across the enterprise, while actively partnering with the business to identify operational opportunities, educating internal stakeholders on AI platform capabilities, and ensuring AI solutions are reliable, scalable, and production-grade. Key Focus Areas • CI/CD implementation and AI deployment pipelines, • AI Operations: governance, monitoring, reliability, cost management, and scalability, • Infrastructure automation and cloud operations, • Observability and secure deployment practices, • AI service operationalization using Anthropic Claude and complementary platforms, • Business-facing identification of operational scaling opportunities, • Internal AI education, advocacy, and platform knowledge sharing, • Building repeatable, enterprise-grade deployment and delivery patternsTechnical Requirements Area Requirements CI/CD GitHub Actions, release management Cloud Azure / AWS / GCP, containerization concepts Infrastructure Infrastructure automation, DevOps frameworks AI Platforms Anthropic Claude (required), AI system monitoring and cost management Security Security and permissions architecture, reliability engineering Leadership & Education Expectations • Own AI operations as a strategic function, not just an engineering support role, • Partner with business stakeholders to understand and address scaling requirements, • Serve as an internal educator and advocate for Claude and operational AI best practices, • Contribute to roadmap development from an operational and infrastructure perspective, • Build and lead an operational engineering capability as the team grows COMPENSATION At FAM Brands, we are committed to fair and transparent compensation. Salary ranges for positions are based on job level, location, and market data. We offer competitive benefits and are dedicated to equal pay for equal work. Specific salary offers depend on each candidate's qualifications and experience. FAM Brands also offers all employees participation in our annual bonus program (Non-Sales) or commission program (Sales). Compensation Range$160,000—$185,000 USDCommitment to Equal Employment Opportunities & DiversityFAM Brands is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. FAM Brands makes hiring decisions based solely on qualifications, merit, and business needs at the time. California Consumer Privacy Act (CCPA) Notice for Job Applicants FAM LLC values your privacy. This notice outlines our practices regarding the personal information of job applicants in compliance with the CCPA. What We Collect: We collect information you provide in your job application, including contact details, educational and employment history. Purpose: We use this information to evaluate your application and manage the hiring process. Disclosure: Your personal information may be shared with service providers assisting with recruitment and as required by law. Your Rights: Under the CCPA, you have the right to access and request deletion of your personal information and to not face discrimination for exercising these rights. For questions or to exercise your rights, contact recruiting@fambrands.com. By applying, you acknowledge you understand our privacy practices.

Ideal Qualifications - 5+ years selling, marketing, or running RevOps at a Fortune 500 enterprise software vendor (Salesforce, Oracle, ServiceNow, SAP, Workday, Microsoft, AWS) or inside an F500 brand or marketing organization (P&G, JPMorgan, Unilever, Microsoft, PepsiCo). Role Overview - Mercor

A leading entertainment company is seeking a Principal Data Security Architect / Governance to lead their data security program in Beverly Hills, CA.This role involves defining strategic visions and governance policies, ensuring data protection across platforms, and guiding architectural security so

Job Description AI / LLM Systems Engineer – Egofold (Junior to Mid-Level) Location: Culver City, CA Compensation: $110,000 – $150,000 Annually About Snail Games USA Snail Games strives to create the new high bar for gameplay experience in online gaming. We have been a global developer and publisher of digital entertainment since 2009 and are committed to pushing the boundaries of the industry. About Egofold Egofold is an AI initiative within Snail Games focused on building a modular AI "brain" ecosystem for NPC intelligence, real-time perception systems, and simulation tooling across multiple game projects. About the Role We are seeking a Junior to Mid-Level AI / LLM Systems Engineer to help build and expand Egofold's foundational AI systems. This role will contribute to the development of reusable, trainable LLM-based systems that support intelligent agents operating across multiple environments and use cases. You will work closely with senior engineers and technical leadership to implement AI architectures, develop training and evaluation workflows, and integrate AI capabilities into real-time applications. This is an excellent opportunity for someone who has hands-on experience with modern AI technologies and wants to grow their expertise while contributing to a long-term AI platform vision. Job Type Full-Time Location Hybrid – Los Angeles Area (3–4 in-office days per week) Responsibilities Assist in designing and implementing AI systems that leverage large language models for reasoning, decision-making, and agent behaviors. Support the development of training, evaluation, and feedback workflows for AI agents and LLM-powered systems. Build tools and processes for testing, benchmarking, and monitoring AI performance. Help implement memory, context management, and world-state representation systems within AI architectures. Develop validation and safety mechanisms to improve reliability and consistency of AI outputs. Collaborate with senior engineers to integrate AI systems into real-time applications and interactive environments. Contribute to experimentation and prototyping efforts involving agent frameworks, retrieval systems, and AI workflows. Participate in technical discussions, code reviews, and architecture planning activities. Document systems, workflows, and technical decisions to support team collaboration and future development. Minimum Requirements 2–5 years of professional software engineering, machine learning, or AI development experience. Experience working with large language models through APIs, open-source models, fine-tuning, prompt engineering, RAG systems, or agent frameworks. Strong programming skills in Python. Familiarity with machine learning concepts, model evaluation, and AI development workflows. Experience building, integrating, or deploying software systems in production environments. Understanding of software engineering best practices including testing, version control, and documentation. Strong analytical and problem-solving skills. Ability to learn quickly and thrive in a fast-paced, startup-like environment. Nice to Have Experience with agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies. Exposure to reinforcement learning, simulation environments, or agent training methodologies. Experience with vector databases, retrieval systems, and embedding models. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience integrating AI systems into games, simulations, or interactive applications. Knowledge of C++, C#, Unreal Engine, or Unity. Contributions to open-source AI or machine learning projects. Salary Range $110,000 – $150,000 annually Why Join the Snail Games USA Team? Operate in a small, high-autonomy team with significant technical ownership and long-term influence. True focus on work/life balance Paid company holidays, vacation, and separate sick leave Medical, dental, vision, and Life/LTD 401k with company match Work Authorization Requirements Applicants must be legally authorized to work in the United States at the time of application. This position does not offer visa sponsorship now or in the future (including H-1B). Additional Information As part of the Company’s activities in video game development, publishing, and short-form video content creation, certain projects, discussions, or creative materials may include themes, visuals, language, or subject matter that some individuals could find mature, violent, sexual, graphic, or otherwise sensitive in nature (collectively referred to as “Mature Content”). Examples may include, but are not limited to, depictions or descriptions of combat, violence, adult themes or relationships, suggestive or satirical humor, or strong language. Employees are expected to engage with such material in a professional and creative context as part of their job duties.