Top Tech Jobs & Startup Jobs

The Staff Backend Engineer is responsible for designing and developing AI platforms, backend services, and APIs, ensuring scalability and reliability while collaborating with cross-functional teams and mentoring engineers.

Design, develop, and maintain backend services while creating robust APIs. Collaborate with teams, mentor engineers, and enhance application performance and documentation.

The Channel Success Manager builds relationships with consulting channels, provides training, supports sales efforts, ensures customer satisfaction, and collaborates internally to enhance service delivery.

Build and maintain Snowflake/dbt data pipelines and models for a Customer Data Platform, integrate complex source systems, own architecture decisions and ADRs, ensure data quality via automated tests, collaborate with cross-functional stakeholders, and mentor junior engineers.

Design and develop scalable backend services and APIs, perform code reviews, mentor engineers, and improve system performance and reliability.

The Solutions Manager oversees scheme and network solutions, driving growth and managing commercial outcomes to maximize value from relationships with key payment networks while leading solution delivery initiatives and collaborating with stakeholders.

Lead cross-functional technical programs end-to-end: plan, de-risk, and execute prioritized initiatives. Coordinate stakeholders, track dependencies and risks, enforce tooling and data hygiene (Jira, Planview), report progress and financial health, drive continuous planning and process improvements, and ensure delivery alignment with business goals.

Lead design and delivery of a unified, real-time billing platform that embeds AI/ML to automate reconciliations, detect anomalies, enable predictive insights, and create autonomous finance workflows across global billing operations.

Senior SDE responsible for designing and owning AI-driven, multi-agent systems and cloud services. Build agentic workflows, lead internal AI enablement, design resilient cloud infrastructure, optimize CI/CD, ensure security and observability, mentor junior engineers, and own incident response and long-term system reliability.

Lead architecture and adoption of enterprise AI and agentic systems: design multi-agent orchestration, integrate LLMs securely, define CI/CD and reliability standards, lead threat modeling and chaos testing, build reusable platform tooling, mentor senior engineers, and drive cross-team roadmaps and stakeholder alignment.