Source Job

• Design and deliver robust, high-scale routing experiences for Data Pipelines for Twilio Segment.
• Operate always-available, complex distributed systems in cloud environments.
• Collaborate cross-functionally with design, product, and other engineers to define solutions.

Twilio is shaping the future of communications, delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. The company is remote-first with a strong culture of connection and global inclusion, and employs a diverse team of Twilions.

• Design, build, and operate high-scale data ingestion and replication systems from production data stores into the data lakehouse.
• Build and maintain reliable, scalable data platform infrastructure capable of handling petabytes of data across analytics, AI, and operational use cases.
• Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams move and access data safely.

Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a publicly traded company, Samsara fosters a growth-oriented culture and serves industries that represent over 40% of global GDP.

• Architect and operate high-scale ingestion and data processing systems at Twilio Segment.
• Lead the development of complex distributed systems ensuring reliability, performance, and cost-efficiency.
• Translate technical strategies into actionable plans for diverse stakeholders including Product Managers and Architects.

Twilio is a communications platform that delivers innovative solutions to hundreds of thousands of businesses and empowers millions of developers worldwide. The company is remote-first with a strong culture of connection and global inclusion, employing a diverse team.

• Build and improve scalable, fault-tolerant, self-serve data infrastructure technologies to support ML and analytics workflows.
• Own the Data Movement Platform for batch and stream data processing, and invest in building new infrastructure for Spark, Flink, and Airflow.
• Collaborate with teammates on on-call responsibilities and monitoring/alerting to improve reliability, scalability, latency, and efficiency.

Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With over 100,000 active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.

• Design and build large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
• Lead system-wide architectural decisions focusing on data flow, performance, and resilience.
• Champion best engineering practices, code quality, testing, and maintainability while mentoring junior engineers.

DoiT is a global technology company that helps organizations leverage the cloud for business growth, combining data, technology, and human expertise. With thousands of customers worldwide, DoiT fosters a remote-first culture that values entrepreneurship, knowledge pursuit, and fun.

• Design and deliver robust, high-scale data processing systems for Twilio's Segment customer data platform.
• Collaborate with cross-functional teams to build and optimize globally available distributed systems.
• Mentor engineers and act as a technical lead to ensure platform reliability and performance.

Twilio shapes the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide. The company fosters a remote-first culture with a strong commitment to connection and global inclusion.

• Design, build, and maintain scalable data lake solutions and processing pipelines handling large volumes of data.
• Develop distributed data processing applications using Apache Spark on Databricks and build real-time streaming pipelines with Apache Kafka.
• Apply software engineering best practices to data pipelines including CI/CD, automated testing, and peer code review.

InPost is an e-commerce parcel delivery company that operates a network of Automated Parcel Machines (APMs) and pick-up points across nine European countries. Founded in 1999, the company employs thousands and fosters a diverse, international, and cross-functional culture with opportunities for growth and training.

• Set technical direction for the Athena clearing house, making architectural calls on data validation pipelines and workflow orchestration.
• Scale the team and product area, driving transition from rapid prototyping to sustainable, production-grade product stack.
• Lead design of systems processing unstructured vulnerability reports, deduplicating findings, and surfacing clean signals to remediation teams.

Chainguard secures the open source software supply chain, delivering hardened, production-ready builds of open source software. They are venture-backed by leading investors and serve Fortune 500 enterprises and global industry leaders.

• Design the technical architecture of the Databricks Data Warehouse and act as the pattern reviewer for the team.
• Build and optimize secure self-service frameworks for batch and streaming data so the same request is never solved by hand twice.
• Treat the platform like production software by defining SLOs, owning observability, and leading incident triage.

Tilt uses machine learning and mobile-first products to provide credit based on over 250 real-time financial signals, not just credit scores. With millions of customers worldwide, the company is building a new credit system for working people.

• Design and build the control plane for provisioning, scaling, and maintaining Postgres clusters.
• Develop high availability, disaster recovery, and data protection mechanisms for production systems.
• Build automation for database operations and contribute to distributed, fault-tolerant systems.

PlanetScale builds a next-generation managed database platform powering mission-critical applications at global scale. They are a remote-first engineering team with a collaborative culture focused on technical excellence and knowledge sharing.

• Architect and optimize large-scale data platforms on Google Cloud using BigQuery.
• Design and build unified batch and streaming pipelines for high-volume workloads.
• Mentor engineers and set technical direction for data architecture and governance.

Egen is a fast-growing and entrepreneurial company with a data-first mindset, using advanced technology platforms like Google Cloud and Salesforce to help clients drive action through data. They are committed to being a place where the best people choose to work, dedicated to learning, and thrive on solving tough problems.

• Build and operate the internal engineering platform that provides application engineers with the tools, systems, and Kubernetes clusters they need to deploy and run their workloads.
• Focus on cloud infrastructure, capacity management, security, engineering productivity, monitoring, and US Federal compliance across squads.
• Participate in on-call rotations to ensure the health of the system and understand how people use our products.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. We are a 100% remote company with 1,600+ team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.

• Own full-stack design and delivery of platform capabilities from architecture to deployment and observability.
• Build open source infrastructure packages for airgap and cloud-native environments and write comprehensive tests.
• Work directly with product and customers to translate mission problems into platform capabilities and mentor team members.

Defense Unicorns delivers mission value by streamlining software delivery for defense and civil agencies, focusing on speed, security, and optionality. The team includes innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.

• Gain deep understanding of ad technology and industry standards like OpenRTB, MRAID, VAST.
• Analyze and improve end-to-end ad workflows, reproducing problematic cases and proposing improvements.
• Lead implementation of architectural solutions and provide hands-on technical leadership.

RTB House is a global marketing technology company providing AI-powered ad-buying solutions. The company processes over 20 million requests per second and fosters a culture of technical excellence and ownership.

• Lead the design and evolution of scalable financial data systems supporting commissions, incentives, and payments.
• Build and maintain robust data pipelines using Python, SQL, Spark, and Terraform for accuracy and performance.
• Define technical strategy and roadmap for financial data operations in collaboration with stakeholders.

Our partner is a fast-growing technology company building financial data infrastructure for insurance operations. They have a remote-friendly work environment and emphasize engineering excellence and cross-functional collaboration.

• Take full ownership of INFOnline's central data platform from raw event ingress through reporting delivery, defining the roadmap and driving execution.
• Establish engineering standards, mentor others, and drive AI-native engineering practices to increase speed and quality.
• Collaborate with Product, Customer Success, and Leadership to translate business requirements into scalable technical solutions.

INFOnline powers digital audience measurement for the German and Austrian media industry, processing billions of events to deliver trusted reach and engagement metrics. Part of saas.group, they are a small, friendly team focused on modernizing infrastructure and moving to a cloud-native architecture on GCP.

• Collaborate with global teams and client stakeholders to design scalable solutions aligned with business objectives.
• Build and deliver high-quality backend services using agile practices like TDD and CI/CD.
• Take ownership of infrastructure automation, deployment pipelines, and production support for mission-critical systems.

Our partner builds complex, large-scale systems for enterprise and public sector clients. They emphasize agile practices, continuous delivery, and a collaborative engineering culture.

• Build and maintain core components of the clearing house in Go on GCP, including customer onboarding flows and data ingestion pipelines.
• Take ownership of ambiguous problems and drive features from design through production with appropriate testing and observability.
• Participate in on-call rotation, contribute to incident response, and become a go-to engineer for core subsystems.

Chainguard is the trusted source for secure open source software, delivering hardened builds for enterprise customers. The company is venture-backed by leading investors and serves Fortune 500 enterprises.

• Design, build, and maintain distributed data pipelines that power Spotify Wrapped data stories and personalized experiences for more than 300M users globally.
• Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility requirements.
• Build scalable systems that process large-scale listening data and generate insights that celebrate users’ unique listening journeys.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. They are behind some of Spotify’s most-loved features. Join them and you’ll keep millions of users listening by making great recommendations to each and every one of them.

• Take an active role in influencing our roadmap and your own career objectives.
• Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability.
• Mentor and support other team members, participate in design discussions and collaborate with the team.

Grafana Labs is a remote-first, open-source powerhouse that provides visualization tools. They help companies manage their observability strategies. Grafana Labs has a global collaborative culture, and a passion for meaningful work.