Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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You will design and build scalable systems, including human-in-the-loop platforms and data infrastructure for AI training. You will own projects end-to-end while collaborating with research and product teams to ship high-quality features.
You will build and maintain hardened container images while designing automated CI/CD pipelines to manage the full lifecycle of these artifacts. Additionally, you will collaborate with cross-functional teams to ensure security compliance and mentor junior colleagues in a distributed environment.
Design, build, and maintain scalable APIs and services while owning the product and solution architecture. Promote a culture of technical learning and accountability while ensuring the reliability and quality of mission-critical systems.
![CI&T is hiring for remote [Job- 31021] Senior Full Stack Oracle Developer, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Develop and maintain full stack applications using Oracle backend technologies and modern frontend frameworks. Model and optimize Oracle relational databases while designing APIs for integration between legacy and modern systems.
The Risk Sr Data Analyst will design, automate, and maintain preventive and detective controls to ensure operational reliability as the company scales. This role involves writing SQL and Python scripts to query data, validate control effectiveness, and build real-time monitoring dashboards.
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You will architect and develop full-stack web solutions within the Scratch ecosystem, ranging from application processes to backend risk assessments. Additionally, you will maintain clean code, contribute to CI/CD pipelines, and participate in agile ceremonies to ensure high-quality delivery.
You will own multiple security domains end-to-end, serving as the technical authority for complex, cross-service security challenges. You will also drive offensive and defensive strategy initiatives, including Red Team exercises and pentest engagements, while setting secure-by-design architectural standards.
You will architect scalable, modern data and AI solutions by transforming complex business challenges into measurable results. The role involves collaborating with cross-functional teams to integrate intelligence into core business processes and ensure the lifecycle management of AI models.
You will own the end-to-end architecture and long-term direction of the security product's API and UI. Additionally, you will define data contracts and integrate diverse telemetry sources into a consistent model for security analysts.
The analyst will monitor commercial KPIs, identify churn risks, and develop action plans to improve retention and reactivation. They are responsible for calibrating sales targets, conducting deep-dive data analysis, and bridging the gap between data insights and commercial operations.
Design, build, and maintain scalable backend services using Java and Python while managing distributed systems and data pipelines. Take full ownership of features throughout their lifecycle and collaborate with teams to implement AI-assisted development workflows.
You will be responsible for researching, implementing, and validating security fixes within PHP codebases and AWS configurations. This role involves working directly with a client's engineering team to remediate vulnerabilities and improve overall system security.
The Data Architect is responsible for designing, creating, and managing the organization's data architecture, including data models and integration standards. They ensure that data systems are scalable, secure, and aligned with business needs and industry best practices.
You will lead mobile quality strategy by defining testing standards, automation frameworks, and AI-assisted workflows across iOS and Android platforms. Additionally, you will mentor QA engineers and collaborate with cross-functional teams to ensure high-quality product releases.
You will develop and execute automated test scripts using AI agents and MCP-based tooling to ensure product quality across web and mobile platforms. Additionally, you will collaborate with cross-functional teams to maintain test plans, track bugs, and optimize CI/CD pipelines.
You will own core application security services, security tooling, and detection pipelines while driving security-by-design standards across product development. Additionally, you will lead post-incident responses and partner with cross-functional teams to deliver security initiatives.
The Manager of Software Development will lead, coach, and empower a diverse team of engineers to build and maintain high-throughput, scalable SaaS applications. They will foster a culture of transparency and collaboration while partnering with cross-functional stakeholders to drive product delivery and engineering excellence.
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You will operate and maintain customer infrastructure while identifying opportunities to improve resiliency and automate administrative tasks. Additionally, you will act as a technology leader and mentor, providing root cause analysis and driving technology road maps for clients.
The Senior Architect will design and maintain the organization's IT architecture framework while providing strategic technical leadership to development teams. They are responsible for translating business requirements into scalable end-to-end IT solutions and ensuring alignment with industry best practices.
Lead the architectural design and hardening of enterprise-scale Databricks data platforms within client engagements. Develop automation, guardrails, and standards to ensure platform scalability, security, and production readiness.
The Business Developer will be responsible for prospecting, integrating, and scaling strategic influencers and trading communities in Brazil to drive platform volume. They will also manage the sales pipeline, execute growth campaigns, and maintain long-term relationships with partners.
Design and ship AI-powered backend services and APIs while ensuring reliability, latency, and cost-efficiency. Monitor production systems, review code, and facilitate the transition of AI models from experimentation to production.
You will architect and deploy scalable generative AI applications using foundation models and multi-agent systems. Additionally, you will collaborate with cross-functional teams to integrate AI solutions into enterprise environments while optimizing performance and quality.
The Senior Data Analyst will partner with cross-functional teams to define KPIs, track the subscription customer lifecycle, and conduct analyses to identify growth opportunities. They will also support experimentation, build interactive dashboards, and translate complex data into actionable recommendations.
The SDET will lead efforts to combine sound development practices with automated testing to ensure the accuracy and reliability of data platforms. They will collaborate with cross-functional teams to implement testing tools and drive quality ownership across the development lifecycle.
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The Data Analyst will identify business performance gaps and translate them into analytical approaches to support strategic KPIs. They will design and maintain dashboards while collaborating with stakeholders to provide actionable insights for senior leadership.
Manage the strategic backlog of the data platform using a product-oriented mindset to reduce friction and accelerate analysis. Lead the evolution of lakehouse architecture, implement federated computational governance, and optimize platform costs through advanced FinOps practices.
Design, develop, and maintain scalable ETL/ELT pipelines and data solutions within Azure environments. Collaborate with international stakeholders to implement data quality, governance, and performance optimization initiatives.
You will develop and maintain over 30 microservices in Java and Scala to process high-volume data pipelines for telecommunications products. Additionally, you will architect systems for low latency, implement fraud detection using machine learning, and manage deployments in multi-cloud Kubernetes environments.
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