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Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions powers the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in todays digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange and havent stopped growing since!

A day-to-day role as a Team Manager at Similarweb includes:

Managing a multidisciplinary team of data engineers, data scientists, and data analysts.
Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning.
Collaborating closely with data extraction, platform, and product teams.
Communicating with business stakeholders and gathering feedback from customers.
Hiring new team members and developing the groups structure.
Playing a crucial role in shaping product strategy within a startup-like environment.
Day-to-day, the team you will lead will:

Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights.
Own end-to-end data processes and pipelines, from research and proof of concept to production.
Collaborate with product and R&D teams to plan and deliver best-in-class digital insights.
Design, validate, and monitor ongoing processes to ensure quality and reliability.
Identify, analyze, and monitor new raw data sources as needed.

We are looking for a talented Senior Backend Developer to join our development team. As part of the team, you will contribute to building and enhancing high-scale, multi-tenant SaaS products that support customers worldwide. You will work in a hybrid environment, collaborating closely with highly skilled engineers in an agile, sprint-based methodology. This role is critical to the continued success of our next-generation security and monitoring platforms, ensuring performance, scalability, and reliability across multiple regions and tenants.

Key Responsibilities
Architect, design, and develop robust, high-quality backend services and APIs for our large-scale SaaS platform.

Own the end-to-end delivery of features in an agile, CI/CD environment, from conception to deployment.

Ensure the scalability, resilience, and high performance of our applications to support a rapidly growing, multi-tenant customer base across multiple regions.

Integrate with and optimize a diverse set of distributed data systems, including PostgreSQL, Redis, RabbitMQ, and Elasticsearch.

Champion and implement observability best practices (metrics, logging, tracing) using tools like Prometheus, Grafana, and OpenTelemetry to ensure system health and proactive monitoring.

Collaborate closely with product managers, frontend developers, and DevOps engineers to translate customer needs into impactful technical solutions.

Continuously explore, evaluate, and adopt new technologies to enhance our architecture and development efficiency.

Mentor and guide other developers, fostering a culture of technical excellence and knowledge sharing.

Harmony SASE is building the next generation of secure access services - enabling organizations to connect users, sites, and applications safely and seamlessly from anywhere.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation -building the internal platforms, data pipelines, and tooling that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with LLMs, automation frameworks, and internal developer systems - experimenting, prototyping, and building real solutions that change the way we work.

Key Responsibilities:
Design and develop AI-driven internal tools and frameworks that enhance developer productivity.
Build and maintain the infrastructure that supports LLM-based workflows, data pipelines, and automation systems.
Prototype quickly - testing new ideas and iterating based on real feedback and performance data.
Collaborate with DevOps, backend, and product engineers to identify high-impact use cases for AI and automation.
Evaluate new AI technologies and bring the most promising ones into production.
Help define metrics for efficiency and continuously improve development velocity and experience.