Top Tech Jobs & Startup Jobs

Develop machine learning algorithms, analyze large company datasets, identify anomalies and failures, build performance measurement tools, and move research into production. The role involves cross-functional collaboration, presenting research findings to stakeholders, and improving products and operations using Python, SQL, statistics, machine learning, and AWS.

Develop and maintain Python-based test automation across firmware, cloud backend, and mobile products. Design E2E and UAT coverage, investigate defects, assess release readiness, communicate quality risks, and contribute to sustainable testing strategies. The role requires networking knowledge, CI/CD integration, analytical problem-solving, cross-functional collaboration, and ownership of quality outcomes.

Build and maintain Python test automation across firmware, cloud backend, and mobile products. Design E2E and UAT coverage, assess release readiness, communicate quality risks, manage defects, and contribute to sustainable QA strategy. Collaborate with engineering and product teams in an Agile environment, investigate root causes, and improve testing practices. Networking, cybersecurity, embedded firmware, traffic capture, Linux, and CI/CD experience are valuable.

Lead Data Analyst responsible for designing big-data reports, queries, and dashboards; analyzing network data, threats, and trends; executing system change deployments; collaborating with quality and software engineers; researching improvements; and informing product design through actionable insights. The role also supports analytics process improvement, automation, reporting, stakeholder communication, and team mentoring.

Lead Data Analyst responsible for creating big-data reports, queries, and dashboards; analyzing network data and identifying trends and threats; deploying customer-facing changes; collaborating with quality and software engineers; researching solutions; improving analytics processes; influencing product decisions; and mentoring colleagues.

Lead Data Analyst responsible for designing reports, queries, and dashboards; analyzing network and big-data datasets; identifying trends and threats; deploying customer-facing changes; and supporting product decisions. The role collaborates with quality, software engineering, and leadership teams, improves analytics processes and tooling, conducts research, automates routine work, presents findings, and mentors colleagues.

Own quality and release readiness for Compass, a 24/7 event-driven AWS platform. Develop Python test automation, shape multi-level test strategy, validate APIs and distributed services, test Kafka, OpenSearch, Redis, S3, and AWS integrations, and lead performance and regression testing. Investigate customer issues, communicate quality risks, collaborate across engineering and product teams, and improve testing practices through mentoring and documentation.

Own quality and release readiness for Compass, a 24/7 event-driven content control platform. Develop Python test automation, define testing strategies across unit through end-to-end levels, validate APIs and cloud infrastructure, test Kafka and distributed services, monitor performance and scale, troubleshoot production issues, communicate release risks, collaborate cross-functionally, and mentor colleagues.

Lead platform product ownership bridging cloud and firmware strategy and execution. Manage and prioritize backlog, engage customers, collaborate with R&D, define releases, and drive agile delivery aligned with product leadership.

Own the Device Intelligence product roadmap for tier‑1 network service providers. Define PRDs, AI/LLM-assisted workflows, and technical requirements; lead discovery, backlog prioritization, and cross-functional delivery; engage strategic customers and support sales with competitive positioning.