• Design, build, and maintain backend services for user controls, identity, and security across the platform. • Develop and strengthen secure content sharing capabilities, ensuring the right users have access to the right data under the appropriate conditions. • Contribute to Data Studio and related tools that expose platform data to internal and external users. • Work on Dgraph internals when needed while building services and applications on top of Dgraph. • Partner with platform, infrastructure, and integrations teams to maintain consistent identity and security primitives across the ecosystem. • Drive technical decisions around data access patterns, permissions models, and secure sharing architecture. • Write high-quality, well-tested code in Go and Python with a focus on reliability, security, and performance. • Participate in architecture discussions, design reviews, and technical planning for the data platform.

• Lead the design and architecture of scalable and performant full-stack solutions that meet product requirements and enhance user experience. • Provide technical guidance and mentorship to engineers on best practices, design patterns, and coding standards. • Advocate your team’s technical needs and priorities within the broader engineering organization. • Participate in product discovery sessions to assess feasibility, explore user needs, define product features, and validate ideas with prototypes and experiments. • Collaborate with UX/UI designers to create intuitive and engaging user interfaces that address user pain points and enhance the overall experience. • Work closely with other engineering teams to ensure seamless integration and communication across systems and services. • Contribute to the vision for the team and the platform as technical leader, identifying new and strategic technologies and technical investments that improve security, scalability, reliability, and performance. • Break down complex projects into clear, actionable tasks to drive successful outcomes. • Implement observability practices across the platform, including logging, monitoring, and alerting to ensure system reliability and performance. • Elevate the team's engineering standards by leading efforts to improve workflows, processes, and tools. • Analyze performance metrics and user feedback to identify opportunities for improvement and drive optimization efforts. • Create and maintain technical documentation for architecture and development processes. • Conduct code reviews and contribute to knowledge-sharing initiatives within the team. • Identify performance bottlenecks and propose enhancements to optimize system performance and reliability. • Stay updated with industry trends, technologies, and best practices, and propose innovative solutions to improve the platform. • Act as a key contributor to the hiring process by assisting with interviews and onboarding new engineers. • Model a culture of open communication and continuous improvement by providing constructive feedback and coaching to junior team members

Role Description The company is seeking a Senior Platform Engineer to join their Integrations Platform team. This role is responsible for the architecture, scalability, and reliability of the systems powering integrations, agents, and workflows across the platform. The engineer will work across the full stack, including SDKs, developer tooling, backend services, and distributed agents, while setting the technical direction for a rapidly evolving platform. This is a high-autonomy opportunity for someone who has built and scaled developer-facing platforms and wants to influence both technical architecture and engineering culture. Key Responsibilities - Own the end-to-end architecture for the Integrations Platform, including SDKs, agents, job pipelines, and related services, while defining the technical roadmap. - Drive the evolution of the integration authoring experience, including AI-enabled workflows that improve how integrations are built and maintained. - Define and enforce reliability, scalability, and observability standards across the agent ecosystem and integration lifecycle. - Build developer tooling, packages, and libraries that reduce friction and accelerate integration development and adoption. - Partner with Product, Platform, and Customer Success teams to translate customer needs into platform capabilities. - Provide technical leadership and mentorship through architecture decisions, design reviews, and hands-on engineering guidance. - Lead cross-functional initiatives involving workflow orchestration, service scaling, and job orchestration. - Evaluate and introduce emerging technologies and frameworks related to integration authoring, automation, and platform capabilities. Qualifications - 7+ years of professional software engineering experience, including significant experience designing and scaling distributed systems, developer platforms, or integration frameworks. - Proven experience owning platform architecture end-to-end and making long-term architectural decisions. - Strong coding skills across backend services, SDKs, developer tooling, and agent-based systems. - Deep expertise in workflow orchestration, job pipelines, and large-scale automation. - Hands-on experience with AI-assisted development or agentic workflow systems. - Strong understanding of system reliability, security, and performance optimization for developer-facing platforms. - Demonstrated technical leadership and mentorship experience, including growing engineers and shaping engineering practices. - Excellent communication skills with the ability to influence both technical and strategic decisions across teams. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience. - Must be a U.S. citizen or permanent resident residing within the United States.

• Own technical solutions from architecture through production. • Design scalable backend services for complex logistics workflows. • Build resilient integrations with enterprise platforms such as OMS, WMS and TMS. • Develop reliable systems capable of handling failures, retries and large-scale asynchronous processing. • Work closely with product and engineering teams to solve business problems through technology. • Contribute across the stack where it delivers the best product outcome.