Software Developer 3
Design, develop, troubleshoot, and test software applications or operating systems based on architectural specifications. Build enhancements within existing software architectures and suggest improvements to current systems.
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Design, develop, troubleshoot, and test software applications or operating systems based on architectural specifications. Build enhancements within existing software architectures and suggest improvements to current systems.
You will lead product marketing initiatives to drive thought leadership and market adoption for Sourcegraph's engineering infrastructure. This involves creating clear technical narratives, managing product launches, and aligning go-to-market strategies with sales, demand generation, and developer relations teams.
Own complex technical projects end-to-end, from architecture and build to deployment and iteration in production. Design scalable systems and set engineering standards for code quality and testing within an agent-assisted codebase.
The Senior DevOps Engineer will design, implement, and maintain infrastructure using Infrastructure as Code while optimizing CI/CD pipelines for improved release quality. They will also collaborate with engineering teams to manage Kubernetes platforms, monitor system health, and ensure operational excellence.
The software engineer will develop and maintain math-focused tools across 2D and 3D platforms while collaborating with cross-functional teams. Responsibilities include writing, testing, and deploying code, participating in pair programming, and contributing to user-facing features.
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The role involves operating, designing, prototyping, and testing various database solutions including SQL Server, Aurora, and MySQL. You will also be responsible for documenting work and recommending improvements to existing database systems.
The role involves operating, designing, and prototyping database solutions across various product lines. Responsibilities include implementing new database systems, performing testing, and documenting all technical work.
You will design and build systems for generating synthetic environments and train models that ensure data trustworthiness and entity detection. Additionally, you will lead technical direction for a senior team and optimize model inference for large-scale sensitive data.
Design and implement tooling to support safety-critical software development and certification processes. Maintain build systems, CI/CD pipelines, and developer workflows to ensure high-quality, provable software delivery.
Build and maintain services and tooling that automate the network lifecycle, including provisioning, drift detection, and operational verification. Develop observability systems and integrate network data to ensure safe, scalable, and transparent network operations.
Design scalable, secure, and high-performance SaaS applications using .NET and modern cloud technologies. Lead architecture across projects while championing AI-first engineering practices and mentoring senior engineers.
Lead the design and implementation of high-impact storage platform capabilities, including schema automation and event platform integration. Define technical direction for database fleet operations and mentor engineering teams to ensure reliability and scalability.
Analyze, transform, and validate data using modern development practices and AI-assisted tools to improve efficiency and delivery. Identify opportunities to apply machine learning and automation to streamline processes and resolve production issues.
You will design and own data contracts and processing semantics to ensure data correctness across the lifecycle of member marketing and coverage eligibility. You will also lead technical discovery and delivery while modernizing legacy data flows into observable, event-driven integrations.
The Director will lead the enterprise strategy and architecture for software engineering, API-led integrations, and automation platforms. They are responsible for driving standardization, improving development velocity, and ensuring seamless interoperability across mission-critical systems.
You will lead, coach, and develop a team of software engineers while owning the technical direction and delivery discipline for your assigned domain. You will also engage with product and executive stakeholders to translate business needs into executable technical plans and ensure high-quality software delivery.
You will lead high-impact reliability projects to improve resiliency, security, and deployment safety across the production environment. Additionally, you will partner with engineering teams to optimize service architecture, scalability, and operational efficiency.
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You will prototype and deploy AI-powered features to enhance search, recommendations, and automated workflows on the Censys platform. You will also develop and fine-tune LLMs and RAG pipelines to reason over internet-scale data and deliver actionable insights.
The Software Development Engineer will participate in the full software development life cycle, including debugging, refactoring, and configuring existing systems. They will collaborate with internal teams to design, build, and maintain scalable applications using C#, .NET, and various web technologies.
The AI Engineer will lead the design, development, and implementation of AI, Generative AI, and machine learning solutions to support the U.S. Department of Veterans Affairs. They will collaborate with cross-functional teams to build AI-powered applications, including AI agents and RAG solutions, while ensuring compliance with Trustworthy AI principles.
You will own the end-to-end front-end experience for an enterprise-scale Agentic AI platform, designing intuitive interfaces that translate complex AI reasoning into trustworthy experiences. You will collaborate with AI engineers and product teams to build responsive, real-time interfaces that support mission-critical healthcare modernization.
Design and develop autonomous multi-agent AI systems and orchestration pipelines to modernize mission-critical legacy software. Build scalable backend services and retrieval-augmented generation (RAG) systems that ensure explainable, evidence-based AI responses.
The Cloud Engineer will lead the modernization of infrastructure as code by migrating CloudFormation to TypeScript and designing scalable, secure AWS architectures. They will also facilitate resilience testing and gameday exercises to ensure system reliability and performance.
The Specialist Solutions Architect will act as a subject matter expert on Stripe Tax to drive revenue and provide technical guidance to enterprise customers. They will collaborate with sales and product teams to influence the product roadmap and resolve complex technical implementation challenges.
You will own the AI/ML core of the product, working closely with the CTO to design and implement the technical strategy. This involves hands-on development of AI components, managing the model lifecycle, and integrating AI capabilities into a scalable robotics platform.
You will design and deploy AI-powered customer workflows while collaborating with internal teams to build integrations and automate processes. Additionally, you will troubleshoot production environments and translate customer feedback into actionable product improvements.
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The Ontology Engineer develops and maintains logical, semantically rich ontologies to structure knowledge for K-12 education products. They collaborate with cross-functional teams to integrate data systems and ensure knowledge representation aligns with enterprise objectives.
Design and build production-grade AI applications using LLMs, RAG, and agentic workflows. Manage full-stack development, cloud deployment, and integration of AI models into enterprise systems.
The Senior Software Engineer will contribute to the full lifecycle development and testing of satellite flight software, including GNC algorithms and performance analysis. Additionally, the role involves supporting mission concept development, modeling, simulation, and proposal writing within a collaborative team environment.
The Senior AI Solution Architect will design, integrate, and scale AI/ML applications while defining secure deployment patterns. They will lead architectural blueprints for AI capabilities and ensure solutions are robust, HIPAA-compliant, and aligned with enterprise modernization goals.
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