Best suited to candidates with strong backend and distributed systems expertise working in AI-first product environments.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Similarweb via Greenhouse
At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.
We are looking for a Senior Backend Engineer to build the distributed services, data access layers, and agent orchestration behind our AI-powered products - systems that serve analytics over billions of rows and run long-lived, LLM-driven workflows in production.
What You'll Do:
This role combines deep backend and distributed systems expertise with product thinking and the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant services, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence what end users can ask of it.
What does the day to day of a Senior Backend Engineer at Similarweb look like:
Your daily work will span service architecture, data access at scale, workflow orchestration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services in Python (FastAPI, Pydantic, asyncio) and TypeScript (NestJS / Node.js)
Own API design, contracts, and versioning across services - including the tool surfaces (MCP) our AI agents call directly
Design and optimize data models, schemas, migrations, and query performance across transactional (PostgreSQL) and large-scale analytical stores (Firebolt, Athena, DuckDB)
Build and operate asynchronous, long-running execution: durable workflow orchestration (Temporal), queues, scheduled jobs, and event-driven processing
Integrate LLM and agent runtimes (LangGraph, MCP, model APIs) into production services behind deterministic, testable boundaries
Implement authentication, authorization, and secure service-to-service integration patterns across an internal service mesh
Build resilient upstream data-fetching layers: timeouts, retries with backoff, caching strategies, and graceful degradation when a source is slow or down
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability - structured logging, metrics, distributed tracing, and alerting that makes production debuggable
Own services end to end in production: CI/CD pipelines, containerized deployments to Kubernetes, and the debugging that follows
Partner with frontend engineers on API contracts, data shapes, performance budgets, and UX constraints - designing for the consumer without owning the UI
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing across the pyramid - unit, integration, and end-to-end against real service stacks - alongside observability and reliability
Use AI coding tools effectively in daily development work (Claude Code, Cursor, Copilot, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation
What does the ideal candidate look like:
5+ years of backend engineering experience, building and operating production services at scale
Strong proficiency in Python (FastAPI or an equivalent async framework) or in Node.js/TypeScript (NestJS) - with genuine willingness to work in both; our services run on each
Experience designing scalable backend architectures, clear service boundaries, and data models that survive their second use case
Deep understanding of API design, authentication and authorization flows, and distributed system tradeoffs
Strong command of async and concurrent programming, and of long-running or distributed execution (workflow engines, queues, schedulers)
Experience with relational and/or analytical databases, including schema design, migrations, and query optimization
A track record of making queries fast and cost-efficient over large datasets - PostgreSQL at scale, or an OLAP/columnar engine such as Athena, Firebolt, BigQuery, Snowflake, or ClickHouse. The engine is learnable; the instinct for scan cost and data volume is what we are hiring for
Strong understanding of system performance, reliability, and security best practices
Experience with testing methodologies (unit, integration, E2E) and observability tooling - metrics, structured logs, distributed tracing
Comfort owning the runtime: Docker, Kubernetes, and CI/CD pipelines
Production experience putting LLM or model APIs inside a backend service, treating latency, failure modes, cost, and non-deterministic output as engineering problems rather than demo caveats
Hands-on experience using AI development tools in daily workflows, with the ability to validate, debug, and improve AI-generated code
Understanding of prompt engineering for engineering workflows and the ability to work effectively in fast iteration environments
Strong product and technical intuition, with excellent communication and collaboration skills
Enough frontend fluency (React, TypeScript) to reason about how your APIs are consumed - you will not own the UI, but you will design for it
Nice to have: agent orchestration frameworks (LangGraph, LangChain) or the Model Context Protocol; a durable workflow engine (Temporal, Airflow, Step Functions); data platforms, analytics products, or BI tools
Why you'll love being a Similarwebber:
You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.
You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization.
We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.
You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here.
Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience.
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.
Source: Similarweb careers (Greenhouse)