Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Software Engineer 2 in Procore's Financials group, based in the Austin TX office, building scalable backend SaaS systems for construction software using Ruby on Rails/Node.js/Java/TypeScript microservices, CI/CD (CircleCI, ArgoCD), Postgres, AWS, and Kubernetes, with heavy use of AI/agentic workflows.
Software Engineer III at Rocket Software in Pune who designs, develops, troubleshoots, and debugs software for the company's products. Full-stack work centered on C++ (plus Java or React), REST web services, and Maven/CI tooling, with agile participation and a focus on well-tested, maintainable code.
Senior Vulnerability Analyst on Qualys' PSIRT in Pune: day-to-day triage and deep technical analysis of vulnerabilities across 35+ products, including CVSS/SSVC scoring, source-code review (C/C++, Java), building detection automation, tracking remediation SLAs, and drafting customer-facing security advisories through coordinated disclosure.
Leads architecture and hands-on delivery of Qualys's CertView CLM as it evolves into a unified machine, workload, and AI-agent identity platform. Day to day is Java/Spring Boot engineering of high-scale, event-driven cloud-security services (100M+ daily transactions) plus mentoring and cross-team roadmap delivery.
Senior Backend Engineer at Kensho, S&P Global's AI innovation hub, in New York: design, build, and maintain reliable, secure, customer-facing APIs that deliver Kensho's AI capabilities, collaborating with product, ML, and infrastructure teams using Python, Flask/FastAPI, PostgreSQL, Kafka, and AWS.
Software Engineer on Qualys's Scanner Appliance team in Pune, developing and maintaining the appliance software stack so it supports major public clouds and private virtualization platforms. Core stack: Python, Bash, Linux, virtualization/VM image tooling, and containers.
Senior Data Engineer in Chennai building and optimizing ETL/ELT pipelines on Azure Databricks, Apache Spark (PySpark), and Delta Lake, with Unity Catalog governance, workflow orchestration, and CI/CD. Partners with analysts, scientists, and business teams to turn requirements into scalable data engineering solutions.
Senior AI Engineer at Uniphore building the enterprise GenAI stack: evaluating, fine-tuning, and productionizing LLMs and multimodal (NLP/vision/ASR) foundation models, analyzing model performance, and managing large datasets. Core stack: Python, PyTorch/TensorFlow, Hugging Face/Transformers, deployed via Docker/AWS/Kubernetes.
Qualys is hiring a Principal AI Platform Architect in Foster City to define and lead the reference architecture for enterprise AI adoption — designing agentic AI runtimes, a modern lakehouse, and data pipelines. The role centers on LLM/RAG systems, data orchestration, governance, and MLOps foundations across AWS, GCP, or Azure.
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Qualys is looking for an FP&A Manager to take ownership of functional P&L planning,…
Lead Security Engineer researching and creating vulnerability detection signatures for Qualys's vulnerability management platform, covering Industrial Control Systems and zero-day threats. Daily work centers on security research, protocol/packet analysis, and building automation with Python and Bash.
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Grow your career internally at Qualys, our best talent comes from within! The Technical Support Team…
DevOps Software Engineer at Waypoint Trading Solutions (a TNS business) who owns the infrastructure and deployment layer for greenfield internal tools and backend services. Day to day: building CI/CD pipelines, infrastructure-as-code, and observability with Python, Linux, Docker, Nginx, GitLab CI, and Terraform/Ansible in a self-hosted, cloud-hybrid (Azure/AWS) environment.
Principal-level security engineer leading AI security and SecOps at Uniphore in Bengaluru: owns AI/cloud security posture via Wiz, builds SOAR/detection-as-code automation, runs AI red-teaming against the agentic platform, and acts as incident commander while an MXDR partner handles frontline monitoring.
Quant developer (Associate/Manager level) at SS&C GlobeOp building quantitative and data solutions for hedge fund services in agile/scrum teams, based out of the Mumbai, Hyderabad, Pune or Gurgaon offices. Core stack is Python, SQL and KDB, with Databricks, Fabric, PySpark, TensorFlow, C/C++ and other data tools as pluses.
Senior engineer who both builds and attacks AI systems: develops GenAI apps, agentic pipelines, and RAG architectures (LangChain, LlamaIndex, vector DBs, Python) for threat detection, while red-teaming those same systems for prompt injection and adversarial threats. Sits on Qualys's security team doing hands-on ML engineering plus offensive AI security research.
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! Description As a Qualys TAM the candidate will hold responsibility for both the technical and sales…
Senior forward-deployed engineer who leads end-to-end Agentic AI solution delivery for enterprise customers at Uniphore: architecting multi-agent orchestration, RAG and LLM integrations, customizing platform APIs, and mentoring engineering teams. Full-stack work in Python/Node.js/Go and React/Vue with DevOps on Docker, Kubernetes, CI/CD and cloud.
Senior Forward Deployed Engineer who owns end-to-end delivery of customer-specific AI solutions on Uniphore's Agentic AI platform: designing integrations, building agent workflows and RAG pipelines, and leading enterprise deployments. Core stack includes Python, Node.js/Go, React/Vue, Docker/K8s, LLM tooling, and vector databases.
Data Scientist at tiket.com (PT Global Tiket Network), a travel booking platform in Jakarta, mining company data and building/validating ML and deep learning models to improve customer experience, revenue, and targeting. Day-to-day involves A/B testing, collaborating with ML engineers to productionize models, and communicating insights via reports and dashboards using Python, R, and SQL.
We couldn't check your fit for this role — add a CV to your profile to see it next time.