Top Tech Jobs & Startup Jobs

Lead the technical vision, architecture, and delivery of complex .NET back-end solutions. Guide API governance, system integration, reliability, testing, monitoring, CI/CD, and production troubleshooting. Mentor engineers, conduct code reviews, establish engineering standards, and collaborate with product managers and multicultural teams to create scalable technical roadmaps. Requires strong .NET, database, SOAP and REST API expertise, architectural knowledge, leadership experience, and fluent English.

Design and implement a two-tier optimization engine using heuristic algorithms and Mixed-Integer Programming to prioritize markets, allocate budgets, and maximize audience impressions. Translate business requirements into mathematical models, incorporate inventory and pricing constraints, and deliver scalable optimization solutions to production. Collaborate with domain experts and non-technical stakeholders in two-week Agile sprints. Use advanced Python, AWS, optimization solvers, multi-objective optimization, and potentially AWS Lambda and parallel computing.

Senior QA Automation role at CI&T. The provided description primarily presents company information, benefits, inclusion initiatives, and learning opportunities; it does not specify the position’s detailed responsibilities, required technologies, qualifications, travel, or clearance requirements.

Develop and maintain applications built with SQL Server and C# .NET. Responsibilities include architecture, scalable system development, REST API implementation, performance optimization, production support, and continuous improvement. The role collaborates with multidisciplinary teams, enhances user experience, maintains legacy systems, and mentors junior developers. Required expertise includes SQL Server, .NET Framework, WCF, WPF, Windows Forms, MVC, REST APIs, Git, layered architectures, and database optimization.

Lead a software development squad supporting a global e-commerce platform. Facilitate Scrum and Kanban practices, coordinate releases, manage dependencies and risks, ensure quality and timely delivery, and coach developers across multiple vendors. Collaborate with product teams, client stakeholders, and directors while fostering transparency, innovation, continuous improvement, and adherence to software development best practices.

Lead the architecture, development, and production operation of scalable cloud-native systems using AWS and infrastructure as code. Make architectural decisions, document technical standards, translate business needs into delivery plans, and guide engineering stakeholders. Apply expertise in LLMs, generative AI, and AI agents while promoting reliability, security, performance, and cost efficiency. Mentor engineers through code reviews, design critiques, and technical leadership.

Designs .NET software and integration architectures using Azure PaaS, microservices, serverless solutions, Docker, and Kubernetes. Responsibilities include database design across relational and non-relational systems, cloud migration and data integration, and modular or microfrontend architecture involving React.

Support Data & AI Governance initiatives through data analysis, curation, stewardship, documentation, cataloging, lineage, quality improvement, and policy maintenance. Use Python for analysis and automation while collaborating with technical and business stakeholders to improve data organization, accessibility, usability, and compliance with governance standards.

Lead the full lifecycle of data products, including roadmap definition, prioritization, development, deployment, optimization, and continuous improvement. Translate business needs into technical requirements, partner with data and business teams, analyze data, define KPIs, validate solutions, and promote AI and automation adoption. The role also requires leading cross-functional initiatives and supporting team development while delivering scalable, high-value analytics solutions for international clients.

Leads a Brazil-based Marketing Operations function supporting North America. Responsibilities include managing and developing the team, improving workflows, analyzing multi-channel marketing and funnel performance, strengthening lead lifecycle and nurture processes, developing reporting, optimizing CRM and marketing automation platforms, and applying AI to improve efficiency. The role partners with Sales, Demand Generation, ABM, and marketing leadership to translate performance data into actionable recommendations and improve pipeline contribution.