• Design and develop Rust-based data processing systems for high-performance, real-time data ingestion and transformation. • Implement and manage stream processing solutions in appropriate languages for the use cases, enabling real-time analytics and insights across large datasets. • Build and maintain Go-based APIs, ensuring they are scalable, secure, and optimized for performance. • Work with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, Druid) to handle complex data structures and ensure efficient data storage and retrieval. • Develop and enhance Python-based components for automation, orchestration, and data integration tasks. • Lead the technical strategy for full-stack development, defining best practices, architecture guidelines, and the tech stack for future projects. • Collaborate with cross-functional teams to deliver comprehensive solutions that align with OPSWAT’s overall product and security goals. • Mentor and guide junior engineers, fostering a collaborative and high-performance engineering culture.

• Lead and develop the team: recruiting, coaching, regular feedback, mentoring, and supporting individual career development. • Own delivery and technical direction: plan and manage work on gRPC/REST APIs, background jobs, data pipelines, and reusable infrastructure components. • Reliability at scale: improve the performance and resilience of high-traffic services and workflows based on Redis, MySQL, and SQS. • Engineering excellence: establish standards for quality, testing, security, and observability, and optimize GitHub workflows (PR quality, CI, automation). • Operational excellence: take responsibility for incident response, postmortems, SLOs/SLIs, and pragmatic improvements to on-call health. • Collaborate as a partner: work closely with Product, Security, and other engineering teams to align roadmaps and ensure smooth, secure deployments. • Communicate clearly: keep stakeholders continuously informed about progress, risks, trade-offs, and outcomes.

• Lead the end-to-end delivery of complex, full-stack initiatives — turning ambiguous product requirements into technical designs, implementation, and high-impact rollouts. • Design and evolve core org management experiences, including both UI and backend services. • Refactor existing code to address performance bottlenecks, improve UX, and reduce operational burden. • Mentor and guide other engineers on the team through constructive code reviews and technical design feedback, fostering a culture of ownership and high engineering standards. • Collaborate with Product to define and prioritize work grounded in real customer problems and measurable business impact. • Operate with high autonomy and a strong sense of ownership, proactively identifying risks, driving alignment, and unblocking the team. • Leverage and promote the use of approved AI tools in day-to-day engineering work to remove toil, accelerate delivery, and free up time for higher‑value design and customer problem‑solving. • Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

• Build Next-Gen AI-Based Analytics Platform • Design and develop an AI-native data insights and analytics platform that delivers real-time, intelligent insights to business stakeholders • Integrate AI agents, LangChain, LangGraph, and other AI frameworks as core platform capabilities, not afterthoughts • Build APIs and microservices that power analytics features and serve insights to end users • Create user-facing analytics capabilities that are intuitive, fast, and powered by AI • Architect Real-Time Data Infrastructure • Design and implement real-time data pipelines using streaming technologies (Kafka, AWS Kinesis, etc.) • Build event-driven architectures that process and analyze data as it arrives • Create high-performance data processing jobs optimized for speed and scalability • Ensure data flows are reliable, monitored, and self-healing • Software Engineering Excellence • Apply software engineering best practices: clean code, testing, CI/CD, version control, code reviews • Write production-grade Python and SQL code that is maintainable, testable, and well-documented • Design systems with scalability, observability, and reliability in mind • Build with modern development practices and tools • Innovation and Problem-Solving • Proactively identify inefficiencies, gaps, and opportunities for improvement in data systems and processes • Experiment with new technologies and approaches to solve complex data challenges • Drive innovation by proposing and implementing creative solutions • Take ownership of problems and see them through to resolution—be a self-starter who doesn't wait to be told what to do • Migration and Maintenance • Support and maintain existing data warehouse infrastructure during the transition period • Plan and execute migration strategies from legacy systems to the new platform • Ensure business continuity while building the future state architecture • Collaboration and Leadership • Work closely with data analysts, data scientists, product managers, and business stakeholders to understand needs and translate them into technical solutions • Mentor junior engineers and contribute to the growth of the data engineering practice • Communicate technical concepts clearly to both technical and non-technical audiences • Leverage AI for Development • Use AI tools (including Claude, GitHub Copilot, etc.) to accelerate development and improve productivity—we care about outcomes, not how you get there • Maintain regular and reliable attendance, including being present, on time, and prepared for work as scheduled