Software Engineer - AI Developer Workflows

Senior Software Engineer - Linux

Datadog

The eBPF APM team is building a zero-instrumentation observability solution that automatically discovers services on every host, supports both plaintext and TLS-encrypted traffic, classifies Layer 7 protocols, decodes service-level traffic, and reports RED (requests, errors, duration) metrics. Leveraging deep expertise in eBPF, the team operates across a wide range of Linux kernel versions, distributions, and complex customer environments. In addition to low-level networking, the team solves challenges related to protocol versioning, TLS detection across diverse languages and runtimes, and resilient performance in production systems We’re looking for a senior engineer with strong systems-level thinking and a good understanding of Linux. You should be comfortable working close to the kernel, ideally with experience in eBPF, or with a strong desire to dive into it. Proficiency in C/C++/ Go is essential, and familiarity with networking protocols, TLS internals, or distributed tracing is a strong advantage. You’ll join a high-impact team tackling ambitious technical challenges—like decoding traffic across multiple protocols, and ensuring high-fidelity metrics in complex, real-world environments. You’ll be expected to lead design and implementation efforts, contribute to roadmap planning, and collaborate across teams to ensure our solution remains robust, scalable, and frictionless for our users. This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: * Design and build core components of our zero-instrumentation APM product using eBPF and Go * Develop systems to auto-discover services, classify L7 protocols, and extract RED metrics from both plaintext and TLS traffic * Solve complex challenges around protocol parsing, encryption handling, and performance at the kernel level * Ensure broad compatibility across Linux kernel versions, distributions, and diverse customer environments * Collaborate across teams to drive technical direction, improve reliability, and scale the system for production use Who You Are: * You have significant experience in backend or systems-level development, with strong proficiency in Go or similar languages (C/C++) * You’re comfortable working close to the Linux kernel and have experience (or interest) in eBPF, networking, or observability tooling * You care deeply about performance and efficiency * You’ve built or operated scalable systems in complex environments and understand how to design for reliability and compatibility * You thrive in a fast-paced, technically deep environment, and are excited to solve hard problems with a small, focused team * You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how * You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output * You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Staff Software Engineer - AI Products

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE AI PRODUCTS TEAM The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily. This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses. Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications. AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL * Lead the design and delivery of large, complex initiatives spanning multiple teams, turning ambiguous product and platform opportunities into durable technical solutions. * Shape the architecture for how datasets, applications, semantic assets, and agentic capabilities are shared, discovered, governed, and invoked across Snowflake surfaces and third-party agentic environments. * Define and evolve the APIs, metadata models, runtime discovery systems, and sharing protocols that make enterprise assets usable by AI agents and developer workflows. * Partner closely with product managers, designers, and platform teams to deliver high-impact customer experiences that raise the bar for AI-native collaboration on Snowflake. * Act as a technical owner for critical product areas with a strong focus on service health, quality, customer impact, reliability, and long-term maintainability. * Identify systemic issues affecting customer experience or engineering velocity and drive cross-team solutions that endure beyond a single launch or component. * Use sound engineering judgment to make trade-offs across product value, technical complexity, scalability, and strategic importance, with an eye toward Snowflake’s broader company goals. * Mentor other engineers, raise the quality bar in code and design reviews, and help develop technical expertise across the team. * Contribute hands-on across the stack as needed, from backend systems and APIs to user-facing product experiences, in service of shipping meaningful customer value. OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE * 9+ years of professional software engineering experience, including ownership of large-scale production systems. * A track record of leading large projects or very complex cross-team efforts from problem definition through architecture, execution, and rollout. * Deep expertise in at least one core area such as distributed systems, data/application sharing, or AI-powered product surfaces, along with the ability to contribute outside their primary domain when the problem demands it. * Strong backend engineering skills in one or more of Java, Go, Python, or similar languages, plus enough product or frontend fluency to help shape end-to-end user experiences. * Experience designing APIs, service architectures, and platform abstractions that scale reliably and are easy for other teams to build on. * Demonstrated ability to work effectively in ambiguity, use data and analysis to drive decisions, and build alignment across engineering and cross-functional stakeholders. * Strong product and customer instincts, including the ability to anticipate future needs and translate them into technical plans. * Excellent written and verbal communication skills, including experience authoring technical roadmaps, design docs and driving technical discussions across teams. * BS/MS in Computer Science or a related field, or equivalent practical experience. BONUS POINTS FOR * Experience with agentic workflows, MCP servers, LLM integrations, semantic search, or AI-assisted product experiences. * Familiarity with marketplace, data-sharing, application platform, or ecosystem-style products. * Experience building governance, metadata, discovery, or catalog systems for enterprise platforms. WHY JOIN THIS TEAM This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Software Engineer – AI Powered Engineering

IMC

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale. What You’ll Do * Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases * Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts * Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review) * Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic * Collaborate with teammates on experiments to evaluate and improve AI-driven workflows What You Bring * BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems) * Proficiency in a high-level programming language (Java or Python preferred) * Experience contributing to developer-facing or production systems * Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet * Strong communication skills; comfortable working with engineers in a fast, collaborative environment Nice to Have * Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar) * Experience with retrieval systems (vector search, embeddings, or hybrid approaches) * Familiarity with compiler/static analysis or large-scale refactoring tools * Interest in customizing or fine-tuning open-weight models * Knowledge of model-serving or evaluation infrastructure Why This Role at IMC * Impact at scale: Your work will help bring AI directly into production developer workflows * Growth: You’ll gain hands-on experience with cutting-edge AI systems while learning from specialists in AI, systems, and developer productivity * Collaboration: Join a team that works closely across engineering disciplines to solve high-value, pragmatic problems Please note that immigration sponsorship is not offered for this specific opening. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $180,000—$200,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.