
1001 - 5000 employees
📱 Media
☁️ SaaS
💰 $11M Debt Financing on 2014-03
Media • SaaS • Advertising
Operative is a company that provides intelligent media management solutions designed to optimize advertising management and revenue growth for media companies globally. Operative offers advanced tools for advertising sales management, content rights and management, reporting, analytics, and insights. Their platforms, such as AOS and Operative. One, integrate seamlessly with existing technologies to provide a unified solution for modern media operations including streaming media, digital publishing, and retail media networks. By leveraging AI and data-driven solutions, Operative aims to help media companies navigate the complexities of converged advertising and content management in an era of digital transformation.
🕒 May 8
AWS
Cloud
Distributed Systems
ElasticSearch
Java
Kafka
Kubernetes
MongoDB
Python
Redis
Spring
Spring Boot
SpringBoot
SQL
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1001 - 5000 employees
📱 Media
☁️ SaaS
💰 $11M Debt Financing on 2014-03
Media • SaaS • Advertising
Operative is a company that provides intelligent media management solutions designed to optimize advertising management and revenue growth for media companies globally. Operative offers advanced tools for advertising sales management, content rights and management, reporting, analytics, and insights. Their platforms, such as AOS and Operative. One, integrate seamlessly with existing technologies to provide a unified solution for modern media operations including streaming media, digital publishing, and retail media networks. By leveraging AI and data-driven solutions, Operative aims to help media companies navigate the complexities of converged advertising and content management in an era of digital transformation.
• Architect and lead delivery of complex, cross-functional initiatives spanning backend services, data pipelines, and cloud infrastructure • Drive the adoption and maturity of AI within engineering workflows, including agentic tooling, AI-assisted development practices, and the integration of autonomous AI agents into platform capabilities • Identify systemic technical challenges across reliability, performance, scalability, and observability, and own the path to resolution • Define and uphold engineering standards across code quality, testing practices, API design, data modeling, and deployment patterns • Make well-reasoned architectural decisions in ambiguous or rapidly evolving situations, and communicate those decisions clearly to technical and non-technical stakeholders • Engage across the full technology stack; this role requires both breadth and depth, with the ability to move fluidly between system-level architecture and hands-on implementation • Partner with Product and business stakeholders to translate complex requirements into coherent technical strategy • Provide mentorship and technical guidance to engineers across the broader global team through design reviews, documentation, code review, and direct collaboration • Serve as a senior escalation point for complex or high-impact engineering problems
• 10 or more years of software engineering experience with demonstrated scope at the architectural level • Prior experience as a senior technical owner of a complex distributed system, with accountability beyond individual contribution • Track record of identifying, prioritizing, and driving technical initiatives independently, not solely executing a defined roadmap • Experience working effectively within globally distributed engineering organizations • Demonstrated ability to improve the technical quality of a team or platform in a measurable and lasting way • Background in SaaS platform engineering, with an understanding of the operational demands of continuously available systems • Candidates should demonstrate strong proficiency across the following areas: Java / Spring Boot, Python, Kafka / Kafka Connect, Kubernetes, AWS, Elasticsearch, MongoDB, SQL, Redis, Serverless / Lambda, S3 / Object Storage, CI/CD & DevOps: • Familiarity with the following areas is also valued: Distributed systems design, Platform observability, Data pipeline architecture, Security and compliance practices within cloud-native environments
• Competitive compensation commensurate with experience and scope of impact • Flexible remote-first work environment
Apply Now🕒 May 8
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