About the job
About Truelogic
Truelogic is a premier provider of nearshore staff augmentation services, proudly headquartered in New York. For over 20 years, we have been delivering exceptional technology solutions to businesses ranging from groundbreaking startups to established industry leaders, empowering them to achieve their digital transformation aspirations.
With a team of over 600 talented tech professionals based in Latin America, we drive digital innovation through strategic partnerships with U.S. companies on their most significant projects. Whether working alongside Fortune 500 companies or agile startups, our results make a lasting impact.
By applying for this role, you're taking the first step towards joining a vibrant team that appreciates your skills and ambitions. We strive to match your expertise with opportunities that promote remarkable career advancement and success while contributing to transformative projects that shape the future.
Our Client
Our client is a global leader in digital innovation, operating at the crossroads of technology, data, and modern product experiences, dedicated to developing scalable, high-performance platforms for data-driven applications.
Job Summary
As a Senior Back-End Engineer, you will be instrumental in designing, building, and scaling robust backend services that fuel a data-intensive platform. This role is highly hands-on and emphasizes the creation of resilient APIs, optimization of database performance, and ensuring system reliability at scale.
The ideal candidate will possess extensive experience with Python and FastAPI, demonstrate strong PostgreSQL skills, and have a solid grasp of cloud-native architectures. You will closely collaborate with frontend, DevOps, and product teams, contributing to architectural decisions while taking ownership of production-quality backend systems.
Responsibilities
Design, build, and maintain scalable, low-latency RESTful APIs and microservices utilizing Python and FastAPI.
Develop and optimize backend services tailored for data-intensive workloads, ensuring reliability and performance in production environments.
Design, optimize, and maintain PostgreSQL databases, focusing on schema design, indexing, query optimization, and large-scale data migrations.
Engage with vector-based data use cases employing pgvector or similar technologies for embedding and similarity search.
Collaborate with frontend, DevOps, and product teams to ensure seamless delivery of features from design to production deployment.

