Senior Software Engineer II, Marketing Enablement & Technology

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

The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, APIs, and data pipelines powering Instacart's Paid Marketing channels—one of our most substantial growth levers. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation.

We're seeking a Senior Software Engineer to provide technical leadership for the Paid MarTech pod—driving the team's technical roadmap, making key architectural decisions for reusability and scalability, and enhancing team productivity through process evolution and tooling improvements. You'll lead cross-team initiatives, partner directly with senior Product and Marketing leaders on strategic decisions, and serve as a domain expert for marketing technology across the organization.

About the Job

Drive the team's technical roadmap and architectural decisions, balancing short and long-term investments to build reusable, scalable systems that serve current and future marketing needs.

Enhance developer productivity by evolving processes, tools, and abstractions that improve team efficiency, system extensibility, and code quality across the codebase.

Lead team-wide initiatives and propose strategic work on behalf of engineering management, partnering directly with senior Product and Marketing leaders on product design and technical decisions.

Champion advanced observability, resilience (including chaos engineering and disaster recovery), cost optimization, and security-by-design principles across all team projects.

Mentor engineers up to L5, act as a force multiplier through well-documented processes, and proactively resolve conflicts that block execution across teams.

About You

Minimum Qualifications

8–12 years of software engineering experience with demonstrated expertise leading technical roadmaps and making architectural decisions that impact team-level systems.

Expert-level proficiency in Python with proven ability to design and implement reusable abstractions, frameworks, and patterns adopted across multiple projects.

Deep technical knowledge of building scalable, high-throughput systems with comprehensive observability, cost efficiency, and security considerations.

Demonstrated ability to partner with senior Product and Marketing leaders, significantly influencing product roadmap through identification of strategic technical opportunities.

Proven track record of enhancing team productivity through process improvements, tooling development, and mentorship of senior engineers.

Excellent communication and influence skills with ability to drive execution of cross-team and cross-functional initiatives while navigating organizational context and dependencies.

Preferred Qualifications

Experience defining and establishing infrastructure, tooling, and best practices for AI-assisted development across engineering teams.