Role Description We are looking for inquisitive, well-rounded Backend engineers to join our Core, Monetization, and Tech Foundations engineering teams. Working closely with product managers, designers, data scientists, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve. You will build robust frameworks & features and accelerate velocity for one of the world’s largest public cloud workloads. You will empower both developers and Pinners alike, finding creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: - Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest. - Partner with design, product, and backend teams to build end-to-end functionality. - Put on your Pinner hat to suggest new product ideas and features. - Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop. - Grow as an engineer by working with world-class peers on varied and high-impact projects. - Design, develop, and operate large scale, distributed systems and networks. - Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner. - Actively work to improve the developer process and experience in all phases from coding to operation. - May contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users. - Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches). - Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks). Qualifications - Bachelor’s degree in Computer Science, a related field or equivalent experience. - 4+ years of industry backend development experience, building consumer or business facing products. - Proficiency in common backend tech stacks for online service, storage, caching and data processing. - Proficiency in building GraphQL APIs and converting REST to GraphQL. - Passionate about working on a Platform team; experience owning large projects. - Self-motivated and a desire to improve the lives of other developers / internal developer productivity. - Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers. - Ability to keep up-to-date with new technologies to understand what should be incorporated. - Strong collaboration and communication skills. - Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint. - Experience in Python, Java, C++, or Go or another language and a willingness to learn. - Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. - Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review). - High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables. Requirements - This position is not eligible for relocation assistance. - US based applicants only. Benefits - Base salary range: $149,600 — $308,000 USD. - Eligible for equity. Company Description Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete the form for support.

• Development in areas of enterprise analytics software supporting mining, data management, analysis and visualization on huge volumes of data. • To be an authority within the product portfolio responsible for the technical specification of projects and choice of technology including the development, integration, testing, infrastructure used and ongoing operational maintenance. • Strong technology focus and research orientation • To produce clear technical design documentation and diagrams detailing existing and proposed technical architectures. • To provide technical consultancy, expertise and advice to the development teams and management on matters of technical architecture and infrastructure developments, including their feasibility. • Lead and mentor small teams • Individual end to end leadership on specific projects • Ability to work well within a team structure and to deliver on specific tasks assigned. • Keenness to explore requirements and work proactively towards identifying gaps. • Drive consensus through extensive POCs and acquired knowledge • Extremely good communication and negotiation skills • Able to deal with global teams and ensure co-ordination amongst stakeholders • Ability to spot, hire and retain talent

• Design, build, and maintain the control plane that powers hundreds of dynamic developer sandboxes • Develop backend tooling and services that automate sandbox creation, orchestration, and lifecycle management • Productize and provide infra as a platform including DBs, caches, object storage and queueing systems • Scale & tune the cluster to provide capacity for volatile workloads. You’ll become hands on with Karpenter/VPA/KEDA policies, right-sizing, pod density, bin-packing, and scheduling strategies for diverse, bursty workloads • Constantly track and optimize costs to be efficient. At our k8s scale all tiny decisions matter, from compute to storage and data transfer • Own the networking setup to mimic what we have in Production but pair it with greater DevEx at scale of hundreds of sandboxes - traffic routing and interception, ingress tuning, serving assets • Implement and evolve observability within sandboxes • Partner with Sandboxes SRE team to ensure uptime and reliability of hundreds of sandboxes daily • Work with Deel engineering to improve their DevEx and productize day to day needs into self-service platform

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, cybersecurity, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 82). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale. We’re building a state-of-the-art, ML‑powered fraud signal detection platform from the ground up, and we’re looking for an engineer who thrives in high‑impact, security‑focused environments. You’ll design and implement backend systems that protect users, power real‑time fraud detection, and integrate deeply with modern AI/ML tooling. What You’ll Do - Build and optimize fraud‑prevention and device‑authentication systems using Node.js and TypeScript - Develop payment interceptors, high‑risk action authentication, and step‑up flows - Integrate backend services with GCP (Spanner, BigQuery, GKE) and containerized environments - Collaborate with AI/ML systems, including Google Vertex and Gemini - Contribute to architectural decisions and technical strategy - Work with RESTful APIs, microservices, and secure authentication patterns (OIDC/OAuth2) - Write clean, maintainable, well‑documented code in a fast‑moving engineering culture What You Bring - Strong experience building backend systems with Node.js and TypeScript - Practical understanding of OIDC/OAuth2 ecosystems and authentication strategies - Hands‑on experience with GCP services (GKE familiarity expected; Spanner preferred) - Background in Kubernetes, microservices, and relational databases (Postgres or similar) - Experience with authentication, security best practices, and fraud‑related systems - Familiarity with AI/ML integration—especially Vertex and Gemini (preferred) - Experience with financial products is a plus, but deep technical curiosity matters more Soft Skills - Strong problem‑solving instincts paired with good judgment on when to push vs. when to align - Clear, effective communication in a collaborative, engineering‑led environment - Self‑driven, proactive, and comfortable navigating ambiguity - Thrives in remote, distributed teams and asks for context early to stay unblocked