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The Tech Lead will manage projects and lead teams while overseeing maintenance, new developments, and platform evolution. They are responsible for ensuring technical excellence and product performance throughout the project lifecycle.
The Tech Lead will manage projects and lead teams while overseeing the maintenance, new development, and evolution of the SISnet platform. They are responsible for ensuring technical and functional excellence throughout the product lifecycle.
You will build production AI features end-to-end, taking them from initial concept through to deployment. This involves working across the full stack, including API design, data integration, and creating streaming interfaces for document-heavy UIs.
You will take ownership of the backend infrastructure, building APIs and data pipelines that connect AI products with LLMs. This involves managing retrieval, tool-calling, response streaming, and complex background processing tasks.
You will take ownership of the infrastructure behind a production AI platform, focusing on scalability, reliability, and security. You will influence key architecture decisions and manage the deployment of AI workloads in production environments.
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Lead the application lifecycle management and deployment strategy using Copado within a strategic public sector and higher education client. Configure and maintain automated CI/CD pipelines while coordinating environment management and metadata conflict resolution.
The Senior Full Stack Engineer will own features end-to-end, from data modeling and architecture to deployment and shipping. They will also be responsible for maintaining engineering standards, performing rigorous testing, and collaborating on production system monitoring and incident resolution.
You will be responsible for the setup, configuration, and deployment of software in customer environments while ensuring system stability. Additionally, you will perform troubleshooting, automate operational tasks, and coordinate with stakeholders to support successful project go-lives.
Design, execute, and maintain manual and automated test cases for HR and Payroll modules. Collaborate with cross-functional teams to identify defects and ensure comprehensive test coverage across the product lifecycle.
Design, build, and maintain scalable Node.js and TypeScript microservices and background workers within a cloud-native architecture. Collaborate with cross-functional teams to develop event-driven workflows and improve administrative and user-facing applications using Vue.js and Nuxt.js.
You will design, build, and maintain automated workflows to optimize the Patient Experience Team's operations. This involves integrating AI agents and LLMs with Zendesk and backend systems to reduce manual processes and improve response times.
You will design and execute red team operations against GenAI systems, LLM pipelines, and cloud environments to proactively identify and exploit security weaknesses. Additionally, you will partner with security engineering teams to translate findings into actionable defensive improvements and remediation strategies.
You will take ownership of the platform architecture, untangling complexities and designing robust, scalable solutions for high-traffic systems. Additionally, you will lead the transition to in-house infrastructure and act as the primary technical decision-maker for service boundaries and API contracts.
You will lead a cross-functional team of engineers to build and maintain customer-facing data APIs, analytics products, and reporting datasets. Additionally, you will act as a player-coach, managing team growth and culture while remaining hands-on with architecture and code.
You will design, build, and maintain scalable frontend systems while collaborating with cross-functional teams to deliver high-quality user experiences. Additionally, you will lead code reviews, mentor junior engineers, and drive technical projects from implementation to launch.
Design and build backend services and APIs for the Connect warehouse management system while integrating with LinOS. Mentor team members, perform code reviews, and ensure high-quality, well-tested code for production environments.
You will architect and maintain backend solutions for a crypto payment infrastructure while collaborating with a team to manage blockchain nodes. The role involves working with IaC, ensuring system observability, and utilizing AI-assisted tools to maintain high code quality.
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Lead the end-to-end design and delivery of complex, production-grade systems while influencing architecture and engineering standards. Collaborate with cross-functional teams to solve technical challenges and mentor engineers to improve overall engineering quality.
The Test Engineer will design and execute comprehensive test plans for database-driven applications to ensure data quality, integrity, and performance. They will collaborate with cross-functional teams to perform automated and manual testing, including load, stress, and regression testing.
The Senior Test Automation Engineer is responsible for designing and maintaining end-to-end test automation frameworks for both API and UI levels. They will also conduct performance testing, mentor other test engineers, and integrate test suites into CI/CD pipelines.
You will own the full lifecycle of the CRM Opportunities backend, designing scalable data models and distributed workflows. You will also be responsible for building high-performance APIs and ensuring system reliability through instrumentation and incident response.
Design, build, and optimize scalable data pipelines and lakehouse architectures on AWS. Collaborate with cross-functional teams to troubleshoot analytical workloads and ensure high-quality data delivery for customer projects.
Engage with strategic customers to guide them through their DevOps and DevSecOps journey using the JFrog platform. Collaborate with sales, product, and engineering teams to demonstrate technical value and influence product roadmaps based on customer needs.
Design, develop, and maintain automated test frameworks using Playwright and TypeScript while integrating them into CI/CD pipelines. Collaborate with stakeholders to translate business requirements into automated test scenarios and leverage AI-assisted tools to enhance testing efficiency.
You will develop and execute a comprehensive, AI-first marketing architecture to drive demand and revenue. Your role involves identifying effective channels, automating processes, and building a scalable marketing engine from the ground up.
You will perform security reviews of source code and smart contracts while building automation to secure the development lifecycle. Additionally, you will manage bug bounty programs, coordinate external audits, and research attack techniques to implement concrete defenses.
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The Senior QA Engineer will design and scale robust test automation frameworks while integrating AI-assisted approaches into the testing lifecycle. They will collaborate with cross-functional teams to ensure high software quality through functional, regression, and API testing.
You will lead, mentor, and grow a team of AI engineers to build an agentic harness that optimizes product and engineering workflows. You are responsible for defining the AI substrate, managing inference economics, and implementing evaluation infrastructure to ensure high-quality, measurable outputs.
Build and own core products end-to-end, including managing job flows and complex edge cases. Set architectural patterns and tooling standards for the engineering team while coaching others and delivering value on schedule.
You will design and maintain automated test suites for a complex, non-deterministic AI Agent Development Platform, ensuring reliability and performance. This involves building failure-injection tests, verifying multi-tenant isolation, and collaborating with AI engineers to integrate quality gates into the CI/CD pipeline.
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