Senior SDET - GovTech Industry
Develop and maintain automated unit, integration, and end-to-end tests to improve system reliability across 20+ SaaS products. Leverage AI tools to accelerate test development and reduce CI/CD pipeline instability.
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Develop and maintain automated unit, integration, and end-to-end tests to improve system reliability across 20+ SaaS products. Leverage AI tools to accelerate test development and reduce CI/CD pipeline instability.
Build and iterate on supervised machine learning models to predict ad campaign delivery outcomes, replacing a simulation-based engine. Partner with ML engineers to deploy these models at scale and collaborate with cross-functional teams to drive adoption of ML-driven forecasts.
Design and build a next-generation ML data and feature platform to improve productivity for ML practitioners. This includes developing near-real-time feature computation engines and centralized feature and embedding stores for high-throughput training and low-latency inference.
The role involves managing customer relationships and driving sales for the IMI Critical portfolio across Panama, Central America, and the Caribbean. Key duties include identifying new business opportunities, influencing technical specifications, and managing the full sales cycle from lead generation to order handover.
Lead the technical vision for AI/ML to automate sales workflows and deploy AI-augmented selling tools. Partner with product and engineering teams to build production models that increase sales productivity and revenue.
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Review account queues to assess legitimacy and detect fraudulent activity to prevent losses for the company and users. Conduct investigations using various tools and communicate with customers to verify account activity and security.
Design, develop, and deploy Generative AI solutions using LLMs and multimodal technologies. Build scalable AI applications and optimize RAG architectures while ensuring compliance with AI governance and security standards.
Design, build, and maintain scalable backend services and distributed systems using Java and Python. Take full ownership of features from design to optimization while leveraging AI-assisted tools to accelerate delivery.
Design and scale machine learning solutions to enhance personalization and member experiences at Netflix. Collaborate with cross-functional teams to move algorithms from concept to production in large-scale real-time systems.
Lead high-impact programs to modernize and scale Netflix's Cloud Infrastructure and AI Platform. Partner with engineering teams to decompose complex problems into execution plans and drive the adoption of scalable platform services.
Lead the SRE function to set company-wide reliability standards and support the streaming architecture. Collaborate with cross-functional teams to eliminate systemic failures and translate technical data into business risk for executives.
Manage and drive direct sales engagements into Enterprise Accounts to implement strategic deployments of Fortinet products. Responsible for generating business opportunities, managing the sales pipeline, and building relationships with key buyers and partners.
Design and implement strategic cloud security boundaries and scalable solutions for account and identity management across AWS and GCP. Collaborate with engineering teams to enable new business verticals and develop internal tooling to reduce operational risk.
Architect and build AI infrastructure and agentic workflows to transform software development and operational processes. This includes creating a centralized context layer and automating the full development lifecycle from code generation to incident triage.
Design and develop Netflix Conversion APIs and Audience Onboarding systems to power measurement and optimization. Build high-volume, low-latency services for ingesting consented user engagement events in near-real-time.
Design and implement ML-driven bidding algorithms to optimize ad performance metrics like Clicks, Conversions, and ROAS. Collaborate with product teams to align auction mechanisms and pricing with business goals and revenue objectives.
Lead the SRE function to set company-wide reliability standards and support the streaming architecture. Focus on implementing AI-driven operations, resilience governance, and cross-functional partnerships to eliminate systemic failures.
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Design and develop Netflix Conversion APIs and Audience Onboarding systems to power measurement, optimization, and reporting. Build high-volume, low-latency services to ingest consented user engagement events in near-real-time.
Assist in the setup, maintenance, and troubleshooting of server, storage, and GPU-based infrastructure across cloud platforms. Develop automation scripts and integrate Generative AI tools to improve operational workflows and system reliability.
Rebuild the account data model and build an enrichment layer to manage advertiser and agency structures. Develop automated attribution engines and identity verification systems to scale the Netflix Ads platform.
Design and promote internal Python libraries to improve the development experience and foundational capabilities for Netflix engineers. Optimize the tech stack for scalability and performance while collaborating cross-functionally to provide a comprehensive software development lifecycle.
Lead the Member Ad Experience team to optimize ad delivery policies and quantify their impact on member experience using causal inference and predictive models. Hire and grow a high-performing team of ML scientists and data scientists while collaborating with product and engineering partners to drive business growth.
Build and maintain large, web-scale datasets to improve member experience and support machine learning algorithms. Drive innovation in big data processing by developing data products and frameworks in partnership with algorithm teams.
Design and implement machine learning and optimization algorithms to enhance ad quality, performance, and yield within the ad marketplace. Collaborate with product teams to define business objectives and communicate technical results to stakeholders.
Lead a team of software engineers to develop and maintain privacy-protective tools and features that meet regulatory requirements. Partner with leadership to execute a consumer-centric approach for data collection, consent, and privacy controls across a complex data ecosystem.
Manage quantitative research projects from kickoff to final delivery, including questionnaire coordination and fieldwork follow-up. Provide data quality checks, analysis support, and maintain direct communication with clients.
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The Sales Development Representative will qualify inbound leads and convert them into sales opportunities while managing a large volume of communications. They will also generate pipeline through consistent outbound prospecting within an assigned territory.
The Technical Director will own all technical aspects of the project, including architecture, system design, and the establishment of scalable engineering practices. They will also lead, mentor, and hire a world-class engineering team while collaborating with studio leads to ensure alignment between creative and technical goals.
Design and build scalable training and inference systems for LLMs, Multimodal LLMs, and other media ML models. Optimize end-to-end training and inference serving to improve scalability, latency, and reliability across global workloads.
The Security Engineer will identify and mitigate risks associated with Generative AI initiatives, focusing on third-party solutions and enterprise search. They will conduct risk-based assessments, develop technical security controls, and provide direct support to internal partners.
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