We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data. We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency. You’ll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You’ll operate with a high degree of ownership in a fast-paced environment where architectural decisions have real technical and financial consequences. If you thrive on complex, high-scale challenges and roll-up-your-sleeves execution, this is a chance to shape the backbone of Instacart’s data platform. Our stack includes technologies such as Apache Iceberg, Apache Flink, Trino, ClickHouse, Apache Kafka, Apache Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You’ll join a focused team of 7 engineers that values pragmatism, clarity, and impact. About the Job - Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency. - Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in. - Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend. - Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle—accelerating development, automation, observability, and cost optimization—and partnering to embed AI-powered capabilities into the platform. - Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment. About You Minimum Qualifications - 5+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale. - Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability. - Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems. - Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production. - Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels. Preferred Qualifications - Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR). - FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts. - Deep SQL proficiency and strong skills in Python or Scala for systems-level development. - Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments. - Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience. #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $265,000—$279,500 USD WA $254,000—$268,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $243,000—$256,500 USD All other states $221,000—$233,000 USD

Role Description You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company. Responsibilities - Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions. - Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems. - Working directly with product teams and ML engineers to improve their day-to-day productivity. - Taking ownership of and finding solutions for technical and product challenges by working with a diverse set of systems, processes, and technologies. Qualifications - 2+ years of professional software development experience with a solid background on service oriented architecture and large-scale distributed systems. - Experience working through the full life cycle of software development, from talking to users, to design and implementation, to testing and deployment, to operations. - Experience working on production ML platforms, MLOps solutions, or building LLM applications. - Experience running operations for high availability, low latency systems. - Experience partnering with other teams to drive business outcomes. - A sense of pragmatism: you know when to aim for the ideal solution and when to adjust course. Preferred Qualifications - Experience building and shipping production AI agents. - Familiarity with the LLMs and LLM Frameworks. - Experience training and shipping machine learning models to production to solve critical business problems.

• Own problems end-to-end from exploratory R&D through production-hardened, maintainable systems • Develop and extend GPU-accelerated code in PyTorch and CUDA C++ • Work across a broad modeling landscape including RL, graph neural networks, black-box/classical optimization, and generative modeling • Formulate objectives, model constraints, and debug numerical behavior in the stack • Contribute to technical direction and research strategy alongside senior teammates

Role Description MicroTech is seeking a Director of Artificial Intelligence and Machine Learning to lead and grow our AI capability across the business and for our customers. This is a leadership position for someone who understands both the business and technical sides of AI/ML and can turn emerging technologies into practical, scalable, and marketable solutions. - Assess current capabilities and strengthen the existing team. - Define a clear roadmap for AI/ML initiatives. - Build solutions that improve internal efficiency and address customer challenges. - Evaluate and leverage commercial off-the-shelf AI/ML tools. - Guide the company in building user-friendly and relevant AI solutions. Qualifications - Bachelor's degree in computer science, engineering, data science, information systems, business, or a related field; advanced degree preferred. - 10+ years of progressive experience in technology, software, data, AI/ML, automation, or digital transformation roles. - 5+ years of leadership experience with responsibility for strategy, execution, and team development. - Strong understanding of AI/ML technologies, including large language models, machine learning, NLP, retrieval/search, intelligent automation, and model deployment. - Experience evaluating, implementing, and integrating commercial AI/ML platforms and tools. - Demonstrated ability to translate technical capabilities into business solutions, products, or customer offerings. - Experience leading cross-functional teams and working effectively with executives, engineers, operations personnel, and business stakeholders. - Strong communication skills and the ability to explain AI/ML concepts in practical business terms. - Experience in a small business or growth-oriented environment where speed, flexibility, and practical execution matter. Requirements - Experience supporting Federal, Defense, or other regulated-industry customers. - Familiarity with secure on-prem, hybrid cloud, or private cloud AI environments. - Experience with knowledge management, document intelligence, enterprise search, or workflow automation solutions. - Background in productization, managed services, or recurring service delivery models. - Experience developing AI solutions that move beyond prototypes into real operational use. Benefits - Insurance (medical, dental, vision). - Paid Time Off (PTO): 15 days during the first year; 20 days annually after one year of service. - 401k Plan with Employer Matching Contribution. - 10 Company-Paid Holidays. - Tuition Assistance. - Voluntary Benefit Programs. - Corporate Discounts. Company Description MicroTech is an award-winning Service-Disabled Veteran-Owned Small Business (SDVOSB) and experienced provider of information technology and communications. We offer a wide range of professional services focused on providing cutting-edge solutions with the customer at the forefront of every decision we make. - Solving complex business challenges is our passion. - We provide effective, practical solutions that can increase productivity and decrease costs. - MicroTech has developed a well-earned reputation for best-in-class services and solutions. - We are committed to people development and providing high achievers opportunities to grow professionally.