Jobs at Softeq

Designs Databricks and Azure cloud platforms, including data architecture, Unity Catalog governance, network isolation, security, compute, cost controls, application integration, and external identity models. Reviews existing environments, recommends migration or modernization paths, creates architecture documentation and traceability matrices, and leads architecture reviews. Requires deep Databricks, Unity Catalog, Azure, infrastructure-as-code, data engineering, platform security, and solution architecture expertise.

Build and maintain automation for a multi-tenant logistics customer portal using Playwright, pytest, API contract testing, performance and security tools. Validate tenant isolation, access controls, accessibility, PWA behavior, data quality, AI assistant groundedness, and release readiness. Integrate automated tests into CI/CD, manage defects, support remediation, and produce quality evidence for releases.

Drive U.S. IoT solutions business growth, particularly in the Houston market, by generating leads, developing enterprise relationships, managing sales pipelines, and closing $250,000+ technology services projects. Responsibilities include sales strategy, partner development, forecasting, CRM management, executive relationship expansion, networking, market analysis, and cross-functional collaboration with engineering, delivery, marketing, finance, and operations teams. The role requires 15–20% domestic travel and is hybrid for candidates based near Houston.

Develop low-level firmware for NAND flash controllers, SSDs, UFS/eMMC devices, and storage subsystems. Responsibilities include implementing FTL architectures, NAND drivers, bad-block management, metadata recovery, power-loss protection, ECC mechanisms, NAND protocol interfaces, performance optimization, and SSD testing frameworks. The engineer will collaborate with multidisciplinary teams to deliver reliable, high-performance, power-efficient firmware.

Explores operational and financial data, develops predictive and analytical models, engineers and documents features, prepares analytics inputs, aligns metric definitions, analyzes historical data states, and validates results with stakeholders. Uses Python, Spark, PySpark, and Databricks to analyze large enterprise datasets, conduct statistical and time-series analysis, create dashboards and executive insights, and document model methodology and results.

Supports B2B technology sales and business development through account research, prospect identification, lead generation, outreach campaigns, sales meeting preparation, CRM maintenance, pipeline tracking, and conference support. The intern gains hands-on experience with sales prospecting, lead generation, sales tools, CRM processes, and professional services sales while collaborating with Sales, Marketing, and Partner teams.

Builds and operates production machine-learning systems for forecasting, anomaly detection, and cost estimation. Responsibilities include feature pipelines, reproducible training datasets, batch and real-time inference, model endpoints, release management, monitoring, drift detection, retraining, rollback, and explainability. The role requires deep Databricks, Unity Catalog, Delta Lake, MLflow, Python, PySpark, and Spark SQL expertise, with forecasting experience and secure CI/CD practices.

Builds and maintains Python FastAPI services and APIs, including API contracts, OpenAPI specifications, analytical data access, ingestion, access controls, background jobs, query performance, testing, and releases. The role requires Databricks integration, SQL expertise, OAuth2/OIDC and JWT security, relational database extraction, Docker, cloud hosting, and secrets management. Nice-to-have experience includes Node.js, multi-tenant systems, analytical query tuning, and third-party data integrations.

Design and maintain scalable data pipelines, ETL processes, databases, and data architecture. Write optimized SQL queries, perform exploratory data analysis, ensure data quality, and create dashboards and visualizations. Develop automation scripts using Python or R, optimize storage, collaborate with engineering and business teams, and document data models and workflows.

Own the AI portion of a logistics customer portal, taking an existing assistant from prototype to production. Responsibilities include building secure RAG and tool-calling systems, enforcing multi-tenant data isolation, developing evaluation pipelines and guardrails, operating Azure AI infrastructure, integrating predictive models, and monitoring quality, safety, usage, and cost. The role also develops AI features such as briefings, support assistance, search, and recommendations while collaborating with data scientists, client architects, and security teams.

Lead the architecture and design of embedded solutions across industrial, automotive, healthcare, consumer electronics, and robotics applications. Translate client requirements into feasible technical solutions, evaluate emerging technologies, provide estimates, present technical documentation, and support delivery teams with architectural guidance. The role combines deep firmware and embedded systems expertise with presales engagement, client communication, and cross-team coordination.