
501 - 1000 employees
Founded 2004
☁️ SaaS
🤝 B2B
🏢 Enterprise
SaaS • B2B • Enterprise
Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.
🔥 18 hours ago
Where this job comes from
Posted on Truelogic Software's careers page, not through a job board
First seen by Remote Rocketship 18 hours ago
Still open on Truelogic Software's site. Checked 2 hours ago.

501 - 1000 employees
Founded 2004
☁️ SaaS
🤝 B2B
🏢 Enterprise
SaaS • B2B • Enterprise
Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.
• Design, build, and scale data pipelines and infrastructure for ingestion, transformation, storage, and serving • Collaborate with Machine Learning Engineering teams to support model training, evaluation, and serving • Improve team processes, tooling, and ways of working • Contribute to thought leadership, internal knowledge sharing, and community of practice efforts • Translate business needs into product-minded data solutions that drive measurable business value • Integrate marketing data sources such as GA4, advertising platforms, CRMs, and CDPs into reliable, well-modeled datasets • Establish data engineering standards, documentation, and monitoring practices for data quality and reliability • Apply AI-powered coding, agentic engineering, and AI-enabled workflows to accelerate delivery • Lead technical workstreams and mentor other engineers • Collaborate with cross-functional stakeholders to solve complex data challenges
• 5+ years of data engineering experience, including building data pipelines and infrastructure from the ground up • Deep expertise in cloud data platforms • Proficiency in Python and SQL for data processing and ETL • Experience building and deploying data workloads in AWS, GCP, or Azure • Strong product orientation and ability to deliver measurable business value • Hands-on experience with AI-powered coding, agentic engineering, and AI-enabled workflows • Experience mentoring others and establishing engineering standards • Familiarity with marketing data ecosystems, including GA4, advertising platforms, CRMs, and CDPs • Solid software engineering fundamentals: version control, testing, code review, and CI/CD • Strong communication skills • Experience working on complex, ambiguous projects from definition through delivery • Advanced English (B2 or higher) • Experience with data governance, privacy compliance, and security best practices (nice to have) • Experience integrating AI/ML capabilities into data pipelines and exposure to GenAI applications (nice to have) • Familiarity with MLOps tooling, vector databases, or RAG patterns (nice to have) • Experience working across multiple verticals or client types (nice to have) • Track record of advocating for and implementing process improvements (nice to have)
• 100% Remote Work • Highly Competitive USD Pay • Paid Time Off • Work with Autonomy • Work with Top American Companies • Engagement activities • Work-life balance • Diverse, global network • Collaboration with a multicultural team • Work with senior, seasoned professionals
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