Top Tech Jobs & Startup Jobs

Design, develop, and maintain Selenium-based automated test suites for backend services and APIs; integrate tests into CI/CD pipelines; validate integrations and data; log and track defects; collaborate with developers and product teams to improve test coverage and report regression status.

The Data Scientist develops data pipelines, machine learning models, and optimization models, integrating features into the product's technical stack and business processes.

Manage and maintain multi-site production infrastructure, ensuring security and high availability. Collaborate with developers and optimize systems using automation tools and cloud services.

The Data Engineer will design and build production-grade data pipelines and architectures for AI solutions, ensuring data quality and collaborating with cross-functional teams.

Embedded with a customer in aviation, deliver financial planning, budgeting, forecasting, variance analysis, invoice reconciliation, vendor management, spend control, financial reporting, and identify cost‑reduction and process automation opportunities.

Design, implement and support scalable AWS infrastructure; lead migration of containerised apps to AWS ECS; build Terraform IaC; improve CI/CD with GitHub Actions; configure Datadog observability; enforce security and reliability best practices; troubleshoot production issues and drive platform improvements.

The Senior DevOps Engineer will manage multi-site production infrastructure, implement cloud solutions, oversee system performance, and ensure security while collaborating with software development teams.

The Senior DevOps Engineer will manage multi-site infrastructure, support cloud migration, implement automation solutions, ensure security, and work collaboratively with developers.

Manage and grow enterprise airline accounts as the day-to-day commercial and relationship lead. Own client satisfaction, retention, revenue targets, pipeline, forecasting, renewals, and senior stakeholder engagement while partnering with delivery, solution architecture, and account leadership.

Develop, prototype, and productionise optimisation and machine learning models for operational decision-support. Own end-to-end use cases, build data pipelines, ensure CI/CD and orchestration, engage stakeholders, and deliver production-grade solutions within an agile product squad.