Back-End Software Engineer
Build cloud-native, AWS-based greenfield software for a global platform. Take full ownership of the development lifecycle using a DevOps mindset to solve complex technical and business challenges.
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Build cloud-native, AWS-based greenfield software for a global platform. Take full ownership of the development lifecycle using a DevOps mindset to solve complex technical and business challenges.
Responsible for electrical engineering design, power system studies, and protection settings coordination for grid modernization projects. The role involves leading projects, mentoring junior engineers, and supporting construction and commissioning phases.
Lead all phases of ASIC verification to ensure the pre-silicon correctness of next-generation processors for generative AI inference acceleration. Develop comprehensive test strategies, verification environments, and scripts while mentoring other verification engineers.
Act as the primary technical pre-sales contact to demonstrate Zip's value and align the solution with customer procurement and finance landscapes. Partner with account executives to drive deals to closure and collaborate with post-sales consultants for seamless onboarding.
Own the end-to-end design and implementation of supplier integrations for cruise, lodging, and insurance partners. Ensure reliability and observability of third-party APIs while contributing to internal tooling and AI-assisted workflows.
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Drive the development of agentic and MCP-based tooling to accelerate R&D workflows and increase autonomous throughput. Ship production code weekly while training and leveling up the engineering team's AI fluency and prompt engineering practices.
Own and manage the Kubernetes operator and control plane for Rerun Hub deployments across cloud and customer environments. Ensure production reliability through observability, CI/CD, and direct customer onboarding for infrastructure plumbing.
Review and refine AI-generated outputs related to platform engineering and system architecture to ensure technical accuracy. Draft realistic engineering scenarios and identify reasoning gaps to improve AI-powered engineering systems.
Own and evolve the native Android platform architecture to support AI-powered decision workflows across various device form factors. Lead system design and engineering standards while mentoring other engineers to raise the overall technical bar.
Own and evolve the native Apple platform architecture to support AI-powered decision workflows on iPhone and iPad. Lead the engineering foundations, reliability standards, and mentorship of the mobile engineering team.
Lead functional and technical engagement with global system integrator partners like Capgemini, Accenture, and Deloitte to accelerate solution adoption. Act as the technical bridge between internal product teams and partner stakeholders to drive complex enterprise sales cycles.
The role involves analyzing and investigating security incidents (L2/L3) and optimizing SIEM correlation rules, dashboards, and alerts. Additionally, the engineer will integrate log sources, develop incident response playbooks, and participate in the evaluation of new SOC tools.
Design, develop, and maintain custom IAM applications and automation to support secure identity lifecycle management and access controls. Collaborate with cybersecurity and infrastructure teams to integrate IAM platforms across enterprise systems like Okta, Salesforce, and AWS.
Architect and ship production-grade AI systems and agentic workflows to automate core operational tasks in the construction industry. Own the end-to-end lifecycle from experimentation and deployment to monitoring and optimization of multimodal AI pipelines.
Act as the technical bridge between quantum science and customer applications to accelerate technology adoption. Design tailored technical solutions, lead workshops, and manage technical bids for enterprises and research institutions.
Monitor and support AI IaaS infrastructure, focusing on GPU servers, storage, and InfiniBand networking. Manage the full lifecycle of bare metal nodes including provisioning, validation, and first-level troubleshooting of hardware and Kubernetes platforms.
Partner with Sales to lead technical conversations and deliver workflow-driven product demos to prospective customers. Conduct discovery sessions to understand customer scheduling practices and explain how Planera integrates with or replaces existing tools.
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The role involves designing and executing manual and automated tests across UI, API, and workflow layers for modern SaaS products. You will collaborate with cross-functional teams to define acceptance criteria and leverage AI-assisted tools to accelerate test coverage and feedback loops.
Design, develop, and deploy high-quality applications and APIs for an agentic AI platform. Collaborate with cross-functional teams to improve architecture, scalability, and performance through code reviews and technical discussions.
Lead the strategic development and implementation of an AI Ops platform and software development solutions. Design and customize software applications while mentoring junior staff and managing technical documentation.
Develop and optimize optical inspection recipes to monitor process health and reduce defectivity in a high-volume manufacturing environment. Collaborate with global cross-functional teams to implement statistical process control and identify process anomalies.
Lead technical discovery and design end-to-end solutions for law enforcement and telecom providers across the APAC region. Manage the technical sales cycle, including demos, POCs, and the creation of technical proposals and architectures.
Lead technical discovery and design end-to-end solutions for law enforcement and telecom providers across the APAC region. Manage the technical sales cycle, including demos, POCs, and the creation of technical proposals and architectures.
Own and scale backend infrastructure and APIs end-to-end to power financial access products. Design scalable architectures on AWS using Node and TypeScript while leveraging AI tools to accelerate output.
Own the FPGA integration and test environment, including simulation, timing analysis, and continuous integration for airborne radar products. Develop DO-254 compliant processes for peer review and testing to ensure safe and dependable electronic hardware.
Design, train, and deploy machine learning models across multimodal domains for safety, security, and intelligence applications. Build agentic systems and evaluation pipelines to measure model reliability and safety in production environments.
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Design and operate large-scale ingestion systems to transform raw multimodal data into clean, AI-ready datasets. Own the end-to-end data processing layer, ensuring high throughput, reliability, and security for sensitive data.
Lead the technical strategy and backend architecture for Reddit's user onboarding experience, focusing on signal collection and personalization. Partner with cross-functional teams to implement growth-oriented experimentation and maintain high engineering standards for scalability and reliability.
Scale backend infrastructure and develop new products including AI agents and payment processing optimizations for a political campaign platform. Collaborate within a small team to architect high-traffic systems and maintain a Ruby on Rails monolith.
Lead clinical data integration efforts by designing and implementing data ingestion pipelines to connect client systems to the platform. Transform healthcare data into standardized models like OMOP CDM for analytics and AI applications.
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