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.



Were looking for a Senior Big Data Engineer in the Data Collection Ingest team to contribute to the design and coding of Similarwebs data ingestion services. This role involves working as part of a team that handles millions of requests per minute across hundreds of servers, processing billions of events each day.

This role will report to the R&D Director of Data Collection.

Why is this role so important at Similarweb?

As the most trusted platform for measuring online behavior, millions of people rely on Similarwebs insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be ingested reliably in high scale to provide stable signals for analysis.

As a Data/Server Developer you will have the opportunity to perform hands-on work and own Similarwebs raw data ingestion pipeline end-to-end. Your work will have a direct impact on the quality and reliability of our data and the insights that our products are delivering to our customers.

So, what will you be doing all day?

Your role as Data/Server Developer of the Ingest Data Collection team means your daily responsibilities may include:

Design, code and manage end-to-end Similarwebs data ingestion pipelines, both online and offline.
Run the production environment by monitoring availability and taking a holistic view of system health and data quality.
Own data infrastructure features from design to production using industry best practices with focus on quality and delivery.
Lead designs & decision-making processes of the team.
Solve diverse complex problems of scale, performance and business logic.
Collaborate with product managers and other team leaders to plan, nurture, and implement an efficient and effective development process.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products
Perform code reviews, evaluate implementations, and provide feedback about potential improvements.
Improve your skills, learn from and mentor top-notch engineers and enrich other team members.
Have lots of fun!

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Gemini Factuality team works to measure and improve factuality in Gemini post-trained models. We collaborate with numerous research and engineering teams working on Gemini models and their applications. In this role, you will work on theoretical and applied research to deeply understand the relationships between factuality and other quality aspects. You will keep track of model development work that potentially impacts factuality and can inform the development roadmap. You will document and regularly present your work internally within the team, and to senior stakeholders.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Write and test product or system development code.
Participate in or lead Gemini factuality improvements with peers and stakeholders.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Participate in the full lifecycle of Machine Learning projects: defining new desired model behaviors, creating metrics and human evals, collecting Supervised Fine-Tuning and Reward Modeling data, training and evaluating models, and analyzing logs traffic to understand new error patterns

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will research new modeling approaches for improving multilingual capabilities of Large Language Models used on key Google products like Gemini, Search, and Cloud Vertex AI (e.g.,
pre-training, instruction following, and cross-lingual tasks). You will
also explore pre-training for target languages other than English and
develop the infrastructure that supports this research. Our team is
committed to developing advanced methodologies tailored specifically for multilingual environments. We focus on pre-training multilingual models, enhancing the quality of multilingual instruction-tuning datasets, refining multilingual evaluation processes, boosting knowledge transfer across languages, and optimizing multilingual tokenization, among other initiatives.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

Responsibilities
Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsofts Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

Within Azure Data, the data integration team builds data gravity onthe Microsoft Cloud. Massive volumes of data are generated not just from transactional systems of record, but also from the world around us. Our data integration products Azure Data Factory and Power Query make it easy for customers to bring in, clean, shape, and join data, to extract intelligence.

The dataflows platform integrates many systems and products into a single unified product, empowering data, and business professionals to perform transformations and manipulations on their data ("Extract-Transform-Load").

We operate on a huge scale. We have millions of Dataflow invocations per day and dozens of thousands of monthly active users who edit or create Dataflows.

Responsibilities
Lead features end to end from design, through design, implementation to delivery and monitoring and supporting in production.
Improve and enable the engineering culture by learning and identifying areas where the team lacks knowledge or needs to improve, become subject matter expert, and leverage this knowledge in our work.
Lead the definition of requirements, KPIs, priorities, and planning of engineering deliverables.
Maintain our existing services and support them.
Embody our culture and values

Do you enjoy delivering value in a dynamic environment, and looking to make a big impact? Are you passionate about creating a service that will affect millions of business users every day?

The Microsoft Fabric team is building the new generation of big data + AI platform all the way from ingesting to visual insights like dashboards and reports, combined with the power of Microsoft Power BI in Azure and Office 365.

This job is an opportunity to work on a new and exciting service that Microsoft is betting on, be part of a vibrant team, and get proficient in the world of apps and services.

Microsoft Fabric and Power BI are among the fastest growing segments of the software industry today which hold fascinating technological challenges of creating fast and rich ways to analyze huge masses of data. Microsoft is a leading player in the BI market both in terms of market share as well as in thought leadership and BI is a key investment for Microsoft.

Responsibilities
We are looking for an outstanding software engineer to join our rapidly growing team. If you love finding creative ways to leverage new technologies to make meaningful business impact, leading other engineers on that path, versatile and willing to work at all levels of the code stack, like talking to customers for feedback, have an uncompromised passion for sleek and delightful experiences and designs, and have a strong background and passion for cloud engineering this is the best place for you to be.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud Filestore is a managed file storage service for applications that require a shared filesystem through a network interface (NFS) and Enterprise-grade feature set (e.g., backups, snapshots).
Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
Provide technical leadership on high-impact projects.
Influence and coach a distributed team of engineers.
Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
Drive the technical direction, roadmap, and detailed planning alongside the engineering manager.

We use state of the art cloud technologies, big data solutions and AI at hyper scale and modern UX platform to deliver the highest value for our customers. If you're passionate about cyber security like us, and if you live and love data, want to make the world a safer place for millions of customers, love creating products for and with customers and are a team player - come join us. Our team values diversity of all types in candidates for our roles and we strive to hire people with different experiences and perspectives into our team. To that end, we know that no candidate has every desired skill and experience, but all of us together makes our team strong. so, were looking for an experienced hands-on Senior Software Engineering manager to join our fast-growing team.
Responsibilities
We are looking for a Senior engineering team leader, with proven management skills, passion for impact, strong technically and hands-on that can balance drive for results, team-work and the ability to quickly learn and pick up new technologies & applications. If you are passionate about building a large scale services and Big Data platform challenges and excited about security, come join us - together we can make a worldwide impact! We are looking for a Senior to Principal engineering team leader, with proven management skills, passion for impact, strong technically and hands-on that can balance drive for results, team-work and the ability to quickly learn and pick up new technologies & applications. The team leader will be responsible for-

1. Team Leadership and Mentorship: Lead and mentor a team of software engineers, fostering a collaborative and innovative work environment. Provide guidance and support to help team members grow in their roles.

2. Project Management: Oversee the planning, execution, and delivery of software projects. Ensure projects are delivered on time, within scope, and aligned with business goals.

3. Technical Oversight: Provide technical direction to the engineering team, including architecture decisions, code reviews, and ensuring best practices are followed.

4. Hiring and Talent Development: Recruit, onboard, and retain top engineering talent. Focus on building a diverse and high-performing team, and support the ongoing development of engineers through training and feedback.

5. Collaboration Across Teams: Work closely with product managers, designers, and other stakeholders to ensure alignment on goals, priorities, and technical requirements.

6. Resource Allocation: Manage resource allocation within the team, balancing priorities and workloads to ensure efficient project progress.

7. Process Improvement: Continuously assess and improve development processes, tools, and workflows to optimize team efficiency and product quality.

8. Product Quality Assurance: Ensure the team delivers high-quality, reliable, and scalable software by instilling best practices for testing, code quality, and continuous integration and deployment.

The Data Engineers team is expanding and looking for an experienced and professional Data Engineer to join our team.

Our Data Engineers team is the driving force behind innovative data solutions that power content recommendations for over 1 billion users worldwide. We are a data-obsessed, data-driven group, and were expanding our team to tackle even bigger challenges. This is your chance to join us and help take our data infrastructure to the next level.

You will design, build, and optimize scalable data pipelines, transform raw data into actionable insights, and collaborate with cross-functional teams to drive impactful business decisions.

What you'll be doing

Design and develop complex data pipelines using advanced technologies (e.g Spark, HIVE, Python, Airflow and others)
Work with a variety of databases (Redshift, MySQL, BigQuery, MemSQL etc.)
Design and develop analytics products and data solutions for internal and external customers
Analyze and improve performance, scalability, and stability of our systems, environments, and tools
Develop end-to-end solutions, while working in a fast-changing environment

The File Solutions team provides a set of fully managed file services for Enterprise and HPC and AI/ML customers addressing workloads (e.g., SAP, GKE applications, etc.). The team facilitates seamless migration to cloud, hybrid cloud solutions, and seamless integration with other File solutions and Google Cloud Platform (GCP) solutions and services.

The team's goal is to be the authoritative one stop shop for all file solutions in GCP, serving large-scale strategic customers and managing customer data, while maintaining the highest performance, scale, reliability, usability, quality, and observability as well as ownership of the whole file portfolio, whether built from the ground up internally or via integration with third-party and open source technologies.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
Drive the technical decision making and prioritization across File Solutions integration with external/internal products (e.g., Filestore, NetApp, PFS/DAOS) and infras to create a superb experience to our customers covering all the workloads and needs.
Guide a team of engineers based in India, Tel Aviv, and Kirkland through technical design directions for creating the best file solutions for our customers achieving high quality, reliability, and development velocity.
Collaborate with engineering and product leadership on setting priorities and building strategic roadmap as well as multiple local and remote teams serving the product portfolio (e.g., UX, UI etc.).
Build relationships, and collaborate with and work closely with various Developer partners and external companies we integrate with to create the best solution including all the technical aspects.

As a Senior Software Engineer, youll play a critical role in designing scalable and reliable systems that meet the operational requirements of our B2B organization.

Work on reliability for our top enterprise solutions

Leverage your understanding of the systems we use to assist in resolving production issues in real time

Bring your knowledge and perspective on reliability to preemptive (design reviews) and corrective (post mortems) discussions

Lead service reliability reviews and audits and present findings to stakeholders

Find patterns and pain points that hinder Wixs availability, and produce large-scale solutions

Generate and prioritize tasks for infrastructure teams to aid in improving uptime and reducing blast radius

Analyze system performance and scalability requirements, identify bottlenecks, and then propose and implement solutions to optimize system capacity