Company Description

We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Project - the aim you'll have

We are currently looking for skilled Senior Data Platform Engineer to become members of our dynamic team and work closely with one of our inspiring US clients!

As part of an AI-first company, the Senior Data Platform Engineer supports AI-enabled features by ensuring that data pipelines, storage layers, and retrieval patterns are aligned with the needs of AI-driven workflows. This includes promoting responsible data governance, supporting vectorized/semantic search capabilities, and ensuring the platform’s data layer is optimized for AI-driven products and internal engineering tooling. This role contributes directly to the client’s mission by ensuring that data systems are secure, accessible, and performant, enabling the engineering team to build intuitive and intelligent solutions.

Expectations - the experience you need

+90% English written and oral (at least C1 level) with excellent communication skills.
5+ years of experience managing or engineering large-scale data systems.
Strong understanding of SQL, NoSQL, and distributed data storage technologies.
Proven experience with MSSQL, MongoDB, Redis, or similar systems.
Familiarity with search indexing tools (Elasticsearch, Solr) and high-performance data retrieval patterns.
Experience with data modeling, normalization/denormalization, and schema evolution.
Proficiency with observability tools and monitoring platforms.
Experience with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT).
Knowledge of cloud-native data infrastructure (AWS or Azure).
Experience with vector databases, embedding-based indexing, or semantic retrieval.
Background in event-driven or streaming architectures (Kafka, EventBridge, etc.).
Communicates clearly and collaborates across engineering and product teams.

What you will do

Design, implement, and maintain scalable data storage solutions across SQL, NoSQL, in-memory, and search systems.
Ensure high availability, resilience, and observability across all data systems.
Identify and resolve performance bottlenecks across the data layer.
Implement caching, indexing, partitioning, and load-distribution strategies for large-scale data.
Support AI-driven features by ensuring data systems provide efficient access to structured and unstructured sources.
Assist in implementing vector storage, semantic indexing, or future RAG (Retrieval Augmented Generation) capabilities.
Use AI-assisted tools to analyze system performance, generate code, and improve data architecture documentation
Partner with backend engineers to design data interactions that align with system and API requirements
Document data systems, schemas, standards, and patterns.
Provide technical mentoring on data practices, observability, and AI-assisted tooling.

Our Benefits

Educational resources.
Flexible schedule and Work From Anywhere.
Referral Program.
Supportive and chill atmosphere.

We are accepting applications from LATAM countries

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