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Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Principal Software Engineer builds and leads the cloud-native backend that ingests, processes, and secures real-time radar telemetry from edge devices, using AWS services and distributed systems.
Manages a platform engineering team building an enterprise DevSecOps/DataOps and observability platform for NCBI at NIH, onsite in Bethesda, MD or remote. The stack centers on Kubernetes, GitOps, CI/CD, containers, and cloud platforms (GCP/AWS/Azure).
Senior engineer who builds and continuously improves an enterprise-wide DataOps platform for NCBI (NIH/NLM), creating shared tools, automated compliance pipelines, and helping developers adopt the platform. Core stack: Kubernetes, GitOps and containerization, major clouds (GCP/AWS/Azure), Kafka, and Airflow.
Platform Engineer (DataOps) at Black Canyon Consulting supporting NCBI (NIH/NLM) in building an enterprise-wide DataOps platform. Day to day: developing and improving the platform, shared tools/libraries, and automated compliance pipelines using Kubernetes, GitOps, cloud platforms (GCP/AWS/Azure), Kafka, and Airflow.
QA Platform Engineer (DevOps) supporting NCBI at NIH: builds compliance/QA pipelines with quality gates, automated web testing (Selenium, Cypress, Playwright), and CI/CD and monitoring tooling using Python/JavaScript/Java, Kubernetes, and Linux. Based in Bethesda, MD with onsite/remote flexibility.
Data Engineer at cloudandthings.io, an engineering-led consultancy in Cape Town that builds modern data and AI platforms for enterprise clients. The role designs and operates cloud-native lakehouse platforms across AWS and Azure using Databricks, Microsoft Fabric, Spark, SQL, Python and Terraform, covering ingestion, transformation, modelling, governance and analytics/AI enablement.
Position Summary The Data Engineer 2 builds and operates the pipelines and datasets that the business runs on. This is a hands-on delivery role: the engineer owns pipelines end to end (ingestion, transformation,…
Senior backend engineer (via outstaffer JIT Team) embedded with Hapag Lloyd's Gdańsk IT team, building customer-facing shipment-tracking products: serverless, event-driven AWS services with Python or Scala, PostgreSQL tuning, observability, and CloudFormation IaC. Hybrid — one day per week from the Gdańsk office.
About Aiven Aiven is the open source based data platform that builders trust to run PostgreSQL®, Apache Kafka®, ClickHouse®, OpenSearch®, Valkey™ and more in production, on any cloud. Builders ship faster. Their…
Senior backend/data engineer at Netradyne (fleet safety/telematics) leading cloud data infrastructure for real-time health operations dashboards: building Spark-on-EMR and Airflow batch pipelines, Kinesis/Flink streaming, Cassandra time-series stores, and Java/Spring Boot services in Bengaluru.
Leads technical strategy and delivery for client 'lighthouse' product engagements, running rapid 3/3/3 concept-to-launch cycles with forward-deployed pods and defining AI-first engineering practice. Core stack: Python/TypeScript, LLM ecosystems (OpenAI, Anthropic, RAG, agent frameworks), AWS/GCP/Azure, Terraform, Kubernetes, and modern data platforms.
Role Summary You own pipelines end to end: ingestion to modeled warehouse, deployed through CI/CD, monitored, and cost-aware. Projects vary - a lakehouse on one engagement, a classic warehouse on the next - so you work…
Backend developer for the 'Jobs' platform and AI-driven tools using Python and Django. You will work in a team of 5, managing infrastructure with AWS and Docker while contributing to the tech community's core products.
J ob Title: AWS Lakehouse Data Engineer Work Model: Remote - offsite Responsibilities + Build and operate data pipelines (batch and streaming) from APIs, relational databases, file drops, event streams, and external…
Senior Staff ML Engineer at Netradyne (fleet safety via computer vision and edge computing) in Bengaluru: owns end-to-end architecture of large-scale cloud ML systems — data ingestion, feature/ETL pipelines, training infrastructure, model serving, monitoring and retraining — using Python, AWS, Gen-AI/LLMs and agentic AI, while setting engineering standards and mentoring senior engineers.
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,…
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Care Experience team builds…
The DevSecOps Engineer will secure the company's AWS-hosted SaaS platform by managing vulnerability programs, responding to security incidents, and embedding security practices into the CI/CD pipeline. The role focuses on maintaining HIPAA, SOC 2, and HITRUST compliance while collaborating with engineering teams to harden cloud infrastructure.
Design, develop, and maintain scalable ETL data pipelines on Databricks and Azure, integrating diverse data sources to support analytics, reporting, and ML while ensuring governance and reliability.
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