• own polished user experiences across different platforms. • strong in modern web/mobile UI development, comfortable shipping across platforms. • able to work closely with a small, agile team. • have a strong design sense, and backend to turn user feedback into fast, intuitive, high-quality experiences. • Strong product instincts, attention to UX detail, and a bias toward shipping are essential.

• The Engineering Operations Specialist is a hands‑on operator responsible for implementing, maintaining, automating and continuously improving a unified Software Development Lifecycle (SDLC) across a portfolio of software applications. • This role is deeply embedded in day‑to‑day engineering and product operations, owning Atlassian Jira, Confluence, and Productboard configurations and actively building workflows, automation, and integrations that support efficient quality delivery. • This position combines process ownership with technical execution, requiring someone who can both define standards and personally configure the tools that enforce them. • The role works closely with Engineering, Product, and Quality teams to reduce friction, increase visibility, and ensure consistent execution across diverse teams and systems. • In addition, this role will look towards automating reporting and operations using AI.

Role Description We are seeking a Technical Lead, Platform to lead the design, development, and evolution of our backend platform services. This role is responsible for building and scaling Python-based services and APIs, driving architecture decisions, and leading a team of engineers delivering high-quality, production-grade platform capabilities. The ideal candidate is a hands-on Python expert who combines deep backend expertise with strong leadership and a product-driven mindset. Key Responsibilities - Technical Leadership - Own the architecture and design of Python-based backend services and APIs - Drive decisions on scalable, secure, and high-performance Python systems - Translate high-level business requirements into scalable technical architecture and system design - Execution & Delivery - Lead engineers building high-performance backend services in Python - Ensure delivery of scalable, maintainable Python code in production - Partner closely with Product, Operations, and business stakeholders to understand requirements and translate them into technical deliverables - Drive operational excellence including monitoring, debugging, and system reliability - Platform & Architecture - Design and evolve Python-based microservices architecture - Build and maintain RESTful APIs using Python frameworks (Django, Flask, FastAPI) - Design event-driven systems and scalable backend services - Ensure extensibility, performance, and system reliability - Team Leadership & Mentorship - Mentor engineers in advanced Python development and system design - Conduct code reviews emphasizing Python best practices - Elevate engineering standards and backend architecture quality - Foster ownership, accountability, and product-driven engineering mindset Qualifications - 8+ years of backend engineering experience with Python as the primary language - Expert-level proficiency building production-grade Python services - Strong experience with Python frameworks (Django, Flask, FastAPI) - Proven experience building scalable APIs and distributed systems in Python - Strong database design, SQL optimization, and data modeling experience - Experience deploying and operating Python systems on AWS (EC2, Lambda, RDS, S3) - Experience with ORMs such as SQLAlchemy and Python data access patterns Requirements - Proven experience leading backend teams using Python - Strong ability to define and execute Python-first technical strategy - Track record of mentoring engineers and improving system quality Skills/Attributes - Expert-level Python development for backend services, APIs, and microservices - Strong experience with Django, Flask, or FastAPI frameworks - Proven ability to design scalable, high-performance, and reliable distributed systems - Solid understanding of data modeling, SQL optimization, and ORM usage (e.g., SQLAlchemy) - Experience building and operating cloud-based systems, preferably on AWS - Strong grasp of observability, monitoring, and system performance tuning - Ability to design secure, extensible, and maintainable platform architectures - Experience with microservices and event-driven design patterns - Strong API design and integration expertise - Balances scalability, reliability, and cost in technical decisions - Proven track record leading and mentoring engineering teams - Drives code quality, best practices, and engineering standards - Effective in cross-functional collaboration with product and data teams - Fosters accountability, ownership, and continuous improvement - Delivers high-quality, production-ready systems in fast-paced environments - Translates business needs into scalable technical solutions - Drives technical roadmaps aligned to product and organizational goals - Focused on reliability, operational excellence, and continuous delivery - Product-oriented with a focus on delivering business impact - Strong problem-solving and decision-making skills - Pragmatic, results-driven, and adaptable - Committed to continuous learning and innovation

• Ship customer facing features across the full stack, with a focus on smooth user experiences. • You’ll design and build intelligence features from zero-to-one from loosely defined specs, collaborating closely with your product, design, and engineering teammates. • You should be comfortable making calls, evaluating outcomes, and iterating on your work to make the best experience for customers. • Sweat the front-end craft. • You care about responsiveness, streaming/loading states, accessibility, and the small details that make an assistive feature feel reliable rather than gimmicky. • Stay close to customers. • Join customer calls when more context is needed to design the right solution, participate in a support escalation rotation, and watch session recordings on the features you own. • Bring that signal back into the work. • Own outcomes, not just output. • Before a project starts, you and a PM agree on a specific outcome metric the work is trying to move. • You instrument it, and after it ships you're watching the dashboard and talking to customers to ensure its impact. • Co-author the solution. • PMs own strategy and sequencing; you bring the judgment and craft for how solutions actually get built. You'll often shape the product thinking too. • The best work happens when engineers, designers, and PMs support each other. • Own production readiness from the start. • Automation, reliability, monitoring, alerting, and logging are all part of how you ship. • The work continues after merge. • Use AI tools every day as part of your craft. • We expect fluency with Cursor, Claude Code, or similar. • If you saw a way to make the team's AI workflow better tomorrow, you'd say so. • Help us hire. • From time to time, partner with our Talent team to interview future teammates. This is one of the highest-leverage things any engineer here does.