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Senior/Staff/Principal Data Engineer at a well-funded AI company in London that builds environments for training AI agents. You own the full lifecycle of data systems — ingesting and processing large, unstructured datasets into secure training data — from architecture through production, on a stack-agnostic platform.
Full stack product engineer at Maze, a well-funded startup using generative AI to solve cybersecurity problems. You own features end-to-end—React/TypeScript UI, Python/FastAPI REST APIs, and database layer—working autonomously at startup speed. Remote within Europe.
A project manager at an AI-first Zoho consulting firm who runs client technology engagements end to end — planning in Zoho Projects, owning budget, risk, change control, and governance cadence, and managing the client relationship from kickoff through close-out. Requires PRINCE2 Practitioner and 5+ years of client-facing tech delivery.
Lead the physical layout of complex, high-speed multilayer PCBs for Cerebras's AI hardware — owning placement, stackups, routing, and fabrication/assembly release using Cadence Allegro. Focuses on signal/power integrity, dense BGA/HDI routing, and DFM through production. Requires 10+ years PCB layout experience.
A 3-month paid internship at Nebius AI Cloud for students and early-career candidates: you'd help design and document AI/ML solutions for customers, learn how distributed training and inference run on large-scale multi-GPU infrastructure, and build demos, tutorials, and technical materials using Python and ML frameworks like PyTorch.
Senior Data Engineer at Agilisium (life-sciences-focused AI services) designing and optimizing scalable batch and streaming data pipelines and lakehouse platforms on AWS. Core stack: Python, SQL, PySpark, Databricks, and AWS services like S3, Glue, EMR, Redshift, Athena, and Lambda, in a hybrid in-office setting in Saidapet, India.
A senior data engineer building scalable ETL/ELT pipelines for life-sciences and biomedical data (genomics, clinical trials, research) using PySpark, Databricks, and SQL on cloud platforms (AWS/GCP/Azure). Day-to-day involves pipeline development, data modeling and governance, data quality checks, and data lake/warehouse work with tools like Snowflake, Redshift, and Synapse.
Despite the 'Senior Fullstack Developer' title, this is a data engineering role: the person designs, builds, and optimizes scalable batch and streaming data pipelines and lakehouse platforms on AWS using Python, SQL, PySpark, and Databricks, supporting analytics and AI-powered products in a hybrid, agile setting.
Senior Data Architect role (10–18 years experience) at Agilisium in Saidapet, India: designing scalable cloud/hybrid data architectures, building pipelines and analytics with Databricks and Apache Airflow, using SQL and Python, ensuring data governance, and mentoring teams — hybrid work with strong in-office presence.
Remote senior architect role defining the technical vision for cloud-native, AI-driven SaaS products: setting architecture standards (microservices, event-driven, API-first, multi-tenancy), leading LLM/RAG and agentic solution design, running architecture reviews, and mentoring engineering teams.
A 12-month contract Real Estate Analyst supporting OpenAI's Global Real Estate Strategy & Transactions team: building and validating lease and portfolio financial models, managing approval templates and data integrity, and using AI tools to automate lease abstraction and reconciliation. Requires 4-6 years in real estate/corporate finance and advanced spreadsheet skills.
Staff platform engineer on Kalepa's infrastructure team in New York (hybrid), maintaining CI/CD pipelines, automating operational workflows, and keeping cloud systems scalable, secure, cost-efficient, and observable. Core stack: Python, AWS serverless (Lambda/EC2), Terraform, Docker, and PostgreSQL.
Solutions Architect at Databricks owning the end-to-end technical strategy for CPG and manufacturing customers — leading architecture discussions across data engineering, AI/ML and agentic systems, and driving platform adoption and production deployments on the Databricks lakehouse across public cloud (AWS, Azure, GCP).
A staff-level security engineer who designs and ships network, cloud, and Kubernetes security controls (IAM, segmentation, encryption, mTLS) for large-scale AI training clusters across multiple clouds and bare-metal data centers, delivered as code via IaC and GitOps. Also threat-models complex multi-cloud environments and mentors engineers.
Forward-deployed solutions engineer on Partly's UK/Nordics expansion team: unblocking new-market automotive repair deals, building integrations (e.g., CABAS), demos and Technical Readiness Assessments around Partly's Interpreter AI parts model. Needs SQL, code-level debugging, and customer-facing commercial skills.
Own and improve Arize AI's product documentation, building automated systems to detect drift between docs and code, and crafting docs that serve both human developers and coding agents. Core tech includes LLM-based app development, docs-as-code workflows, CI, and documentation automation.
Designs and deploys board- and system-level manufacturing tests for AI server hardware, working with ODM partners to ensure high-volume production quality and yield.
Lead security architecture and threat modeling for AI-powered betting platforms, defining secure SDLC, cloud, and AI system practices while mentoring engineers and driving security tooling.
Build and maintain cloud-native infrastructure and developer tooling for a real-money prediction and trading app, using AI tools like Claude Code to ship production code while ensuring security and reliability.
The Solutions Consultant works on‑site in Hyderabad, engaging Fortune 500 customers to help them govern and apply AI to unstructured data, acting as a trusted advisor and presenting ZL Tech’s data‑AI solutions.
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