Senior Full Stack Developer

About the Role

As a Senior Software Engineer Full Stack, you will take end-to-end ownership of internal tools and pipelines that keep partner data flowing accurately and on time for Data Operations, Partner, and Finance teams.

Your responsibilities will span front-end tooling, backend services, and the Hadoop-based data pipelines supporting them.

You will work across Python, Java, JavaScript/TypeScript, SQL, Hadoop, and AWS. This is a highly collaborative role where you will work closely with business, Product, and client-facing teams.

Rather than receiving only fully defined tickets, you will be expected to understand business problems directly, ask the right clarifying questions, translate loosely defined requirements into clear technical specifications, and take ownership of delivering the solution.

You will also be expected to use agentic AI development tools, such as Claude Code, as part of your everyday engineering workflow and maintain accurate technical specifications and documentation as systems evolve.

What Youll Bring

• 8+ years of full-stack software engineering experience, with a demonstrated track record of owning systems end to end.
• Hands-on proficiency with a modern front-end framework such as React, Angular, or Vue.
• Strong backend development experience with Python, Java, and/or JavaScript/TypeScript, along with SQL.
• Experience working with Hadoop or a similar big-data pipeline framework.
• Familiarity with monitoring and observability tools such as Datadog, with the ability to troubleshoot production issues using these platforms.
• Comfort working with build and deployment pipelines (CI/CD), general Linux/bash, and cron-based scheduling.
• Familiarity with AWS cloud infrastructure and Git version control.
• Practical, hands-on experience using AI coding assistants such as Claude Code or GitHub Copilot as part of your regular engineering workflow.
• Strong written communication skills, with the ability to create clear technical specifications and design documents and maintain documentation as systems evolve.
• Confidence gathering requirements directly from Product and client-facing teams, asking clarifying questions, and independently scoping work rather than relying exclusively on fully specified tickets.
• A genuine growth mindset, with curiosity, adaptability, and the ability to operate effectively in environments with some ambiguity.

What Youll Do

• Monitor and troubleshoot data ingestion pipelines and dashboards, including contract-level ingestion monitoring, to identify missed or delayed partner files.

• Own and maintain internal tools, across both front end and backend, that allow Data Operati ons teams to create, edit, and run contract and ingestion configurations.

• Support file-processing workarounds for partners with non-standard permissions or formats, including moving files between partner and internal storage and converting vendor-specific file drops into standard formats.

• Investigate and resolve data duplication or discrepancies identified through automated SQL, Oracle, or Hadoop-based checks.

• Build and support tools that generate ad codes, manage frequency-cap violations, merge partner files into client-ready reports, and translate IDs between internal systems.

• Maintain lightweight alternatives to primary ingestion systems for smaller-scale partner data, including pixel-based file uploads.

• Run and maintain GDPR-related monitoring and segment-check reports to support data governance requirements.

• Maintain scheduled reporting jobs that summarize partner onboarding, spend, and file-ingestion status for internal teams and partners.

• Maintain email- and Slack-based alert systems, backed by monitoring tools such as Datadog, that identify partner file-formatting issues and ingestion failures before they become client-facing incidents.

• Use internal troubleshooting tooling, including SQL review, query runners, and market/inventory configuration editors, to diagnose issues quickly.

• Support incident communication tooling that synchronizes status-page updates with internal Slack channels and participate in on-call and incident-response activities as needed.

• Gather requirements directly from Product managers and client-facing teams and write clear technical specifications before development, rather than working only from predefined tickets.

• Use agentic AI tools, such as Claude Code, to accelerate coding, code review, and documentation while applying sound engineering judgment to production deliverables.

• Keep technical specifications and documentation current as systems and requirements evolve so that the wider team can rely on them.

• Take ownership of a portfolio of internal scripts and services, understanding what each component does, why it exists, and when it is appropriate to modify, deprecate, or hand it over.

• Mentor other engineers and partner with adjacent teams, including Data Operations, Finance, and Partner Engineering, to prioritize and scope shared tooling initiatives.