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Diligent Corporation
10+ ansCandidates need 10 to 15+ years of cloud engineering experience at Staff level, strong Python skills, AWS infrastructure-as-code experience, and hands-on work with LLMs, RAG and vector search. A Bachelor's, Master's or PhD in a related field is preferred.
AWS, OpenSearch, Elasticsearch, Python, Terraform, AWS CDK
Fullscript
8+ ansCandidates need 8+ years of software engineering experience and 3+ years in application or product security. Strong knowledge of secure development, APIs, cloud-native environments and security tooling is required.
GitHub, GitLab, Wiz, AWS
Later
8+ ansCandidates need 8 to 15 years of software development experience, including shipping large features and driving architecture decisions. Strong React, TypeScript and Node.js skills are required, along with database, cloud and CI/CD experience.
React, TypeScript, Node.js, Kotlin, MySQL, DynamoDB
Later
7+ ansCandidates need 7 to 10 years of software engineering experience, including leadership, plus strong skills in C# or TypeScript, SQL and NoSQL databases and cloud infrastructure. Expertise in system architecture, DevOps and security is also required.
Docker, Kubernetes, AWS, PostgreSQL, Git
Later
7+ ansCandidates need 7+ years of DevOps, cloud or software engineering experience with technical leadership. Deep Kubernetes (EKS) and Helm experience, hands-on AWS and Terraform skills, and experience deploying ML models in production are required.
Kubernetes, EKS, Helm, Terraform, AWS, GCP
Achievers
9+ ansCandidates need 9+ years of development experience, strong Python or Go skills, and expertise in Docker, Kubernetes and microservices. Experience with cloud platforms (GCP preferred), Agile teams and clear written and verbal communication is also required.
Kubernetes, Docker, Drone, Google PubSub, React, GraphQL
Redwood Software
8+ ansCandidates need cloud or hyperscaler product experience, a record of shipped enterprise cloud products, and skill writing use cases and business cases. Strong technical fluency in cloud services and APIs is required, and AI tools should be part of their daily workflow.
PR/FAQ, AWS, Azure, Google Cloud
Quantexa
Candidates need several years of commercially focused technical experience, such as solution engineering, presales or technical sales. They must communicate complex ideas clearly to senior stakeholders and have domain knowledge in financial services or data management.
Spark, Databricks, Kubernetes, Elasticsearch, AWS, Azure
Solstice
Candidates need experience shipping and operating ML or LLM systems in production, a record of inventing evaluation metrics, and depth in LLMs such as retrieval and agentic pipelines. Full-stack skills in Python, FastAPI, Docker and AWS are required, along with strong communication and confident judgment under ambiguity.
Python, FastAPI, Docker, AWS
DualEntry
5+ ansCandidates need 5+ years of backend engineering experience, ideally with complex business logic products. They need strong database skills in PostgreSQL and SQL, experience deploying on AWS or similar platforms with solid CI/CD, and Python with a web framework is a bonus.
PostgreSQL, AWS, Python, FastAPI, Flask, Django
Scale AI: The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets.
Candidates need a PhD or postdoctoral research experience in machine learning, computer science or a related field, or senior industry experience in ML. Strong Python skills and experience with PyTorch or TensorFlow are required, and AWS, Docker and LangChain are a plus.
PyTorch, TensorFlow, Python, AWS, Docker, LangChain
Leadership Connect: Leadership Connect is a data-driven decision intelligence company focused on policy & procurement in the public sector.
2+ ansCandidates need 2+ years of professional software development experience for mid-level or 6+ years for senior, with strong fundamentals in REST APIs, SQL and Kotlin/Java with Spring Boot or Python. Experience with AI coding assistants and Git is expected.
Kotlin, Java, Spring Boot, Python, AWS, Elasticsearch
Leadership Connect: Leadership Connect is a data-driven decision intelligence company focused on policy & procurement in the public sector.
2+ ansCandidates need strong Kotlin or Java and Spring skills, React and TypeScript experience, and solid database and API knowledge. Mid-level applicants need 2+ years of professional experience and senior applicants need 6+ years, plus automated testing and Git experience.
Kotlin, Java, Spring, React, Vite, TypeScript
Docker
3+ ansCandidates need 3+ years of security engineering with hands-on offensive testing, 2+ years of Python or Golang development, and experience securing AWS, GCP or Azure. Offensive certifications, AI/ML security knowledge and strong communication skills are expected.
Burp Suite, AWS, GCP, Azure, Kubernetes, Docker
Relay: Relay is a financial technology company and is not an FDIC-insured bank.
Relay needs experience leading architecture for complex systems, driving cross-team initiatives, and tying technical choices to customer, business, cost and risk. Strong influence without authority and a record of coaching engineers are also needed.
TypeScript, React, Node.js, AWS, Terraform, Datadog
Relay: Relay is a financial technology company and is not an FDIC-insured bank.
5+ ans1+ gestionRelay needs candidates with 5+ years of full-stack software development, ideally at a fast-growing B2B SaaS or fintech company, plus 1-3 years managing people. Strong technical depth in Node.js, TypeScript, React and AWS is a plus, along with clear communication and sound judgment on tradeoffs.
GitHub, GitHub Actions, Datadog, Jira, Metabase, Cursor
Babylist: The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps,…
Candidates need experience shipping recommendation or personalization systems at scale in a consumer product, with strong recommender fundamentals such as candidate generation, ranking and cold start. They should be fluent in Python ML tooling, own models through deployment and monitoring, and connect model changes to conversion or revenue.
Python, AWS SageMaker, MLflow, Snowflake, Rails, MySQL
ExtraHop
10+ ansCandidates need 10 to 14 years selling cloud and cybersecurity technology to large enterprises, with direct AWS, Azure or GCP experience. A bachelor's degree in computer science or a related field, or equivalent knowledge, is needed, along with at least 5 years working directly with cloud concepts.
AWS, Azure, GCP, Terraform, Ansible
18 entreprises