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Principal Software Engineer leading GenAI application development, designing scalable AI pipelines, RAG systems, and agent frameworks to deploy LLM-based solutions in a regulated fintech environment.
Build and maintain a cloud-based pathogen genomics data platform using Python, Airflow, and Oracle/AWS/Azure to ingest, process, and secure genomic and clinical data for early epidemic warnings and diagnostics.
Builds a Java/Spring backend and React frontend for a due-diligence workflow tool, orchestrating processes with Camunda BPM and integrating internal systems.
Build and maintain the data platform that powers reporting, AI workflows, and decision-making at a prop-trading discovery platform using BigQuery, dbt, Airbyte, and Airflow.
Build and maintain scalable data pipelines and cloud-native infrastructure to ingest and optimize multi-modal scientific datasets for ML model training in drug discovery.
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Build and maintain cloud-native MLOps and data pipelines for a biotech firm, deploying and scaling ML models in AWS/GCP while ensuring reliability, security, and reproducibility.
Develop a Java-based workflow tool for Enhanced Due Diligence case management using Spring Boot, React, and Camunda, integrating with internal systems.
Build a workflow tool for Enhanced Due Diligence case management using Java backend, React frontend, Camunda, and microservices, integrating with internal systems.
Builds and deploys Palantir Foundry and Gotham data pipelines, models, and apps to turn raw data into trusted insights for UK defence and national security programmes.
Builds and optimizes cloud-based ETL/ELT pipelines and data models in SQL to power reporting and self-service analytics for a BI team.
Lead a team to design and build scalable Azure-based data pipelines in Python and SQL, set engineering standards, and mentor engineers while owning the data platform’s technical direction.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Senior Python/Go developer builds and maintains network automation tooling for a systematic hedge fund, turning network intent into production-grade, idempotent code that provisions and monitors datacentre fabrics.
Build and maintain enterprise-grade Python ETL pipelines and data-processing apps using Pandas, Polars, SQL, and AWS S3 for a trading-focused client.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals,…
Leads AI engineering for production agents, designing workflows, tool calling, and state management while mentoring teams and ensuring system reliability through observability and security patterns.
You can help shape how analytics accelerates growth, improves client outcomes, and streamlines how work gets done. Join a collaborative team where your leadership and ideas will directly influence the tools, processes,…
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