What you'll do

• Contribute to our application security program. Work with our SAST, DAST, and SCA tooling, triage and prioritize vulnerabilities, and partner with engineering teams to drive remediation. Participate in threat modeling and secure design reviews on new products and services.
• Share incident response on-call. Investigate, contain, and resolve security incidents alongside the rest of the team. Help refine our runbooks, detection coverage, and post-incident process.
• Help harden our cloud and Kubernetes environment. Contribute to security posture across GCP and GKE: IAM and least-privilege, secrets management, container and supply chain security, and IaC guardrails (Terraform).
• Build detections and security automation. Engineer high-signal detections from cloud, identity, and application telemetry. Automate the toil of vuln triage, access reviews, SaaS posture, questionnaire workflows so the team scales.
• Streamline customer security work. Help respond to customer security questionnaires and audits, and build internal tooling and a knowledge base so this scales as deal volume grows.
• Strengthen business continuity and DR. Help assess threats to continuity, contribute to DR plans, and run real exercises against them.
• Help drive a security culture across engineering. Pair on developer training, secure-coding guidance, and standards work to make the secure path the easy path.

Who We Hope You Have: 

• 5+ years of hands-on experience managing cloud infrastructure and automation.
• Experience in achieving SOC2 Type II, ISO 27001, or similar certifications
• Experience with Node.js or Python for backend services in a microservices architecture.
• 3+ years of experience with cloud providers, preferably Google Cloud Platform (GCP).
• Solid experience with cloud security on GCP or AWS, including IAM, Kubernetes, and IaC.
• Knowledge of asynchronous processing, message queues (e.g., Kafka, Pub/Sub), and event-driven architecture for backend applications.
• Experience focused on the internal engineer team success

$160,000 - $190,000 a year
Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package does include stock options, benefits and additional perks. 

Why this role exists:

This role exists to design, develop, and maintain scalable .NET systems for Events Center, ensuring high performance, resilience, and alignment with business objectives while mentoring engineers and improving development practices.

What you’ll drive:

System design and architecture

• Design and implement scalable, resilient, and efficient software architectures using microservices, event-driven, and cloud-native approaches.

Development and code quality

• Write, test, and debug complex code for new and existing applications.
• Conduct code reviews to ensure quality, security, and adherence to best practices.
• Deliver production-ready code in a timely manner.

Mentorship and collaboration

• Provide guidance and mentoring junior engineers and team members.
• Collaborate with cross-functional teams, including product management, design, and operations, to align development efforts with business goals.

Continuous improvement and research

• Research and implement new technologies and methodologies to improve software performance and processes.
• Identify and resolving complex software issues and technical challenges.
• Drive continuous improvement in development practices.

Communication and documentation

• Create and maintaine comprehensive technical documentation.
• Communicate effectively with stakeholders, presenting technical concepts and project updates.

What makes you a GR8 fit:

Must-have

• Strong experience in designing scalable and resilient .NET systems (microservices, event-driven, cloud-native).
• Advanced C# skills, RESTful API development, asynchronous programming, and mastery of design/resilience patterns (DDD, CQRS, circuit breaker, etc.).
• Proficiency in SQL optimization, data modeling, indexing, and experience with relational and NoSQL databases.
• Hands-on experience with Kafka, high-load system optimization, caching, and distributed computing.
• Solid experience with CI/CD pipelines, Docker/Kubernetes, and infrastructure automation.
• Strong focus on testing (xUnit, NUnit), monitoring (Serilog, App Insights), and secure coding practices.
• Proven experience mentoring peers and driving technical decisions in Agile teams.
• Upper-Intermediate+ English, B2+ Ukrainian/Russian.

Nice-to-have

• Experience leading or managing software development projects.
• Familiarity with cloud platforms (Azure, AWS) and cloud-native service design.
• Experience improving software development practices and SDLC processes.

Bridgeway is seeking a Senior Data Engineer to design, develop, and maintain our data warehouse infrastructure. This role involves working closely with analysts, engineers, and other stakeholders to shape our data architecture, ensuring secure and efficient data pipelines, and enabling advanced analytics across the organization. The ideal candidate will have a strong background in data engineering, data warehousing, and ELT processes, along with a passion for optimizing data systems.

This is a remote position, with preference given to East Coast candidates.

Key Responsibilities:

• Design, develop, and maintain a scalable data warehouse/lakehouse environment.
• Design and implement ELT pipelines to ingest, transform, and deliver high-quality data for analytics and reporting, incorporating current best practices, such as “pipelines as code”.
• Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
• Optimize performance of data workflows and storage for cost efficiency and speed.
• Partner with engineers, analysts, and stakeholders to meet data needs; balance cost, performance, simplicity, and time-to-value while mentoring teams and documenting standards.
• Define and implement robust testing frameworks, enforce data contracts, and establish observability practices including lineage tracking, SLAs/SLOs, and incident response runbooks to maintain data integrity and trustworthiness.
• Monitor, troubleshoot, and resolve data & automation issues.
• Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
• Serve as a trusted expert on organizational data domains, processes, and best practices.

Requirements:

• 5+ years of experience in data engineering and ELT with a focus on large-scale data platforms
• 3+ years of experience with Databricks
• Advanced proficiency in analytical SQL, including ANSI SQL, T-SQL, and Spark SQL
• Strong Python skills for data engineering
• Expertise in data modeling
• Hands-on experience with data quality and observability practices (tests, contracts, lineage tracking, alerts)
• Practical knowledge of orchestration tools and CI/CD concepts for data workflows
• Excellent communication and a track record of technical leadership and mentoring
• Strong understanding of integrating data solutions with AI and machine learning models
• Strong problem-solving skills and attention to detail.
• Experience with version control systems like Git preferred
• Strong understanding of data governance and best practices in data management, with hands-on experience using Unity Catalog
• Hands-on experience in designing and managing data pipelines using Delta Live Tables (DLT) on Databricks
• Streaming and ingestion tools, such as Kafka, Kinesis, Event Hubs, Debezium, or Fivetran
• DAX, LookML, dbt; Airflow/Dagster/Prefect, Terraform; Azure DevOps; Power BI/Looker/Tableau; GitHub CoPilot knowledge is a plus
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred

Growe welcomes those who are excited to:

• Design, build, and maintain backend services using .NET (C#);

• Develop and evolve microservices in a production environment;

• Support existing functionality and ensure backward compatibility of releases;

• Work on core domain flows such as accounts, registration, authentication, wallet, and related business capabilities;

• Participate in task analysis, decomposition, and effort estimation;

• Deliver completed tasks for testing and collaborate with QA during test phases;

• Build integrations using asynchronous communication and event-driven patterns;

• Work with relational databases, transactional flows, and optimize query performance;

• Identify performance bottlenecks and contribute to system design improvements;

• Contribute to service observability (logs, metrics, traces, dashboards, monitoring);

• Manage deployment configurations and manifests in Kubernetes environments;

• Work in a GitOps setup and participate in deployment and operational ownership;

• Collaborate with DevOps teams on infrastructure-related changes (including Terraform workflows);

• Participate in on-call rotation and handle production incidents;

• Identify technical debt and propose improvements; 

• Perform high-quality code reviews focusing on maintainability, performance, and consistency.

We need your professional experience:

• 5+ years of commercial backend development experience with C# / .NET (6+), .NET Core / ASP.NET Core;

• Solid understanding of microservices architecture and distributed systems;

• Experience with asynchronous communication and event-driven architectures;

• Experience with message brokers (Kafka or similar);

• Strong knowledge of relational databases (SQL, transactions, indexing, performance tuning), PostgreSQL will be a plus;

• Experience with ORM tools (e.g., Entity Framework);

• Experience writing Unit and Integration tests; 

• Understanding of authentication and authorization (OAuth 2.0, OpenID Connect);

• Good understanding of software design principles (SOLID, separation of concerns, testability);

• Understanding of observability and monitoring in production systems;

• Experience troubleshooting performance and memory issues;

• English - Upper Intermediate;

• Experience with Orleans, Redis will be a plus;

• Experience with AWS, Kubernetes, Terraform will be a plus;

• Experience with Grafana, Loki, Tempo will be a plus.

We appreciate if you have those personal features:

• Good communication skills;

• Multitasking, quick task execution;

• Good team player;

• Responsibility.

We are seeking those who align with our core values:

• GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals;

• DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success;

• BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.

The Company

Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai

Overview

We are seeking a Data Engineer with strong Python and distributed processing skills to design, build, and maintain scalable data pipelines and the infrastructure behind our analytics products. This role focuses on delivering reliable, performant data systems by developing robust ETL/ELT workflows, optimizing data storage and processing, and ensuring data availability and quality at scale.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines that ingest, transform, and deliver data across the organization.
• Develop and optimize distributed data processing jobs using Python for large-scale data transformation and aggregation.
• Architect and manage PostgreSQL schemas, tables, indexes, and query performance to support downstream analytics and reporting.
• Build and maintain Python-based data workflows to orchestrate, validate, and deliver data reliably across environments.
• Monitor and improve data quality, freshness, and completeness through automated checks, alerting, and observability tooling.
• Design and manage cloud-based data infrastructure on AWS
• Partner with data analysts and stakeholders to translate requirements into well-modeled, maintainable data products.
• Maintain documentation for pipelines, data models, data lineage, and infrastructure.
• Troubleshoot pipeline failures and data issues, providing timely root-cause analysis and remediation.

Required Qualifications

• Experience: 3+ years of professional experience in data engineering.
• PostgreSQL: Schema design, indexing strategies, query optimization, and performance tuning.
• Python: Pipeline development, data validation, and orchestration frameworks.
• Distributed Processing and Storage: Hands-on production experience with tools such as AWS Athena, Apache Spark, etc.
• ETL/ELT: Proven experience designing and implementing pipelines in production.
• Cloud: AWS (S3, EKS, Glue, Athena).
• Data Modeling: Dimensional modeling, data warehousing patterns, and reproducible transformations.
• Engineering Practices: Git workflows, code reviews, testing, and CI/CD.
• LLM AI Agents: ability to use agents effectively to increase output.

Preferred Qualifications

• Experience with workflow orchestration tools (e.g., AWS Step Functions, Prefect, Dagster).
• Familiarity with modern data stack concepts: ELT patterns, data lakehouse architecture, semantic layers, and governance.
• Experience implementing automated data quality frameworks and pipeline observability.
• Exposure to streaming or near-real-time data processing (e.g., Kafka, Spark Streaming, Pub/Sub).

What Success Looks Like

• Reliable pipelines.  Pipelines are performant and trusted by downstream consumers.
• Maintainable infrastructure.  Data systems are well-documented, cost-efficient, and easy to extend.
• Proactive quality.  Data issues are detected early, with clear ownership and fast resolution paths.
• Consistent delivery.  Data is correctly modeled and delivered on time across all environments.

Skills & Attributes

• Systems-level thinking with strong attention to correctness, reliability, and scale.
• Ability to balance delivery speed with data quality, maintainability, and cost efficiency.
• Clear written and verbal communication with both technical and non-technical partners.
• Comfortable owning end-to-end data products from architecture through production support.

Assignment: 

• 4-month contract with possibilities to extend

The Company

Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai

Overview

The Manager,Cloud and Data will report to the VP of Engineering and lead the Cloud and Data team. This individual will lead the team to architect, implement, and operate critical scalable data infrastructure for a geographically distributed robot fleet and company.

Key Responsibilities

• Mentor team members
• Architect, build, and maintain scalable data infrastructure
• Manage the day-to-day of team members
• Support long term planning, scheduling and budgeting
• Support hiring, mentoring and team growth
• Contribute generally to the growth and success of the Company and the building of a vibrant culture focused on the responsible deployment of zero-emission autonomous vehicle technology.
• Effectively partner with others in the organization with thoughtfulness and empathy

Required Qualifications

• 3+ years of technical experience in data engineering, including expertise with SQL, Python, distributed processing (e.g., Spark/PySpark), ETL/ELT, and cloud services (AWS/GCP)
• 2+ years of team management experience, including hiring, mentoring, and retaining high-impact, diverse teams
• Experience evaluating and integrating external services and software
• Experience leveraging agentic AI for team and organizational succes

Ideal Qualifications

• Experience with IoT and related technologies
• Experience with PostgreSQL, Clickhouse, Streamlit, AWS Batch, and streaming data tools (e.g., Kafka/Flink), modern data warehouses (e.g., Snowflake/Athena(Trino)), and Kubernetes (k8)

Compensation & Benefits

• Salary: $140,000 - $160,000
• Equity: equity package commensurate on experience and skills
• Benefits: Full health benefits
• Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor

Why do you need to choose between doing important work and having a fulfilling life? At Ardent, we have both. Ardent employees are committed to solving our customers’ most difficult problems—and we are committed to the well-being, personal goals, and professional development of our employee. We are “All In.” We put forth our strongest effort possible to get the mission accomplished and we do it together. We respect the skills and experience you bring to the Ardent team. And we provide a rewarding environment to help you succeed. 

We offer highly competitive benefits, professional development opportunities, and an exceptional culture that embraces flexibility, innovation, collaboration, and career growth. A collective service mindset underpins our work, and a shared camaraderie to serve clients, colleagues and our communities set us apart. Our full commitment to being "All In" for our employees and our clients is not just our approach, it is our standard. If this sounds like the perfect fit for you, choose Ardent and make a difference with us. 

Ardent is seeking a RPA Engineer to join our team.  

This is a Remote position.

Position Description:

Ardent is seeking a RPA Engineer. As the RPA Engineer, you will offer the ability to analyze user needs to determine functional requirements and define problems and develop plans and requirements in the subject matter area for moderately complex to complex systems related to information systems architecture, networking; telecommunications, automation, communications protocols, risk management/electronic analysis, software, lifecycle management, software development methodologies, and modeling and simulation.

Responsibilities and Duties:

• Perform functional allocation to identify required tasks and their interrelationships.
• Identify resources required for each task.
• Respond to and resolve emergent problems; write software and build automation to prevent problem recurrence
• Leverage knowledge of data structures, algorithms, and design patterns to write software in a full-stack Java & web technology environment, including but not limited to Gradle, JDBC, Hibernate, Spring, Kafka, Quartz, Typescript, Redux and React.
• Utilize both object-oriented as well as functional programming approaches in different technologies to implement features effectively.
• Leverage relevant software development experience to radiate best practices and faster development.
• Manage availability, latency, scalability, and efficiency of the product by designing reliability into software and systems.
• Collaborate with team members to define, analyze, understand, and document RPA business and technical requirements
• Create RPA process, technical architecture, design, and user guide documentation
• Be a strong contributor to team feature breakdowns/sizing and design of new feature implementations.
• Have a high degree of personal responsibility for the overall performance of the team, including capabilities, quality, stability, and velocity.
• Mentor others & perform code reviews which provide feedback not only on code quality, but on design and implementation.
• Seek to identify opportunities for code refactoring and performance optimizations on a regular basis and champion these efforts within the team.
• Effectively communicate technical designs verbally and/or in writing for small to medium sized technical audiences.

Requirements: 

• 7+ years’ experience building and delivering enterprise grade software applications
• Must be able to build robots utilizing UiPath RPA solution 
• Possess requisite knowledge and expertise so recognized in the professional community that the government is able to qualify the individual as an expert in the field for an actual task order
• Experience in CI/CD in Cloud environments, like AWS/Azure/Google and continuous integration systems, like Jenkins
• 4+ years of experience working with UiPath RPA solutions in an enterprise environment
• 4+ years using of UiPath RPA development/implementation/administration experience (including but not limited to MS Office, Visio, Microsoft .NET, and Visual Basic, Java, C++, SOAP/REST Web Services, and Database Administration)
• 3+ years of experience integrating UiPath with enterprise systems (including but not limited to MuleSoft, ServiceNow, Oracle EBS, SQL)
• Excellent understanding of the Agile software testing process and lifecycle, from smoke test to integration to production deployment
• Ability to obtain core technology certifications (UiPath) aligned to position
• Demonstrate exceptional oral and written communication skills
• Commensurate experience in IT and in new and related older technology that directly relates to the required area of expertise

Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process. We highly encourage all Veterans and those with disabilities to apply.

Ardent is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression, or any other basis protected by state, local, or federal law.

Your Role

As a Senior Software Development Engineer in Test on the Platform Team, you will be responsible for improving the automated and manual testing infrastructure at Alpaca - helping our developers quickly and reliably deliver new features.

We are looking for experienced engineers who not only understand testing best practices and CI pipelines, but also have in-depth knowledge of Kubernetes and can dig deep into application code when necessary. 

Things You Get To Do

• Develop a comprehensive testing strategy for our API surface
• Improve developer experience by standardizing tooling and infrastructure
• Coordinate with other teams to improve test coverage, reliability and speed
• Mentor and guide product engineers, fostering a culture of quality and continuous improvement within the team.
• Design and execute load, stress, and scalability tests to ensure our platform can handle growing user demands.

Who You Are (must-haves)

• You have 5+ years of experience as a Software Development Engineer in Test (SDET) or Senior Quality Assurance Engineer. 
• You have written code in strongly typed languages before and have at least 1 year of experience with Go.
• You have built and maintained CI pipelines before - we use a mix of GitHub Actions and Google Cloud Build pipelines.
• You have worked with microservices before and understand the challenges they pose for building reliable integrations and end-to-end tests. You have experience designing and building automated test frameworks.
• You are familiar with Kubernetes beyond the basics - you can write a Helm chart for a new service with relative ease, you understand best practices around security, and you have prior job experience or certifications to prove this.
• You have worked at a startup before - you understand that things don’t always go according to plan, that there is significant technical debt, that some tasks just need to be done, and that sometimes there are no processes or documentation to guide your hand.
• You are not afraid of taking a task from start to finish - gathering requirements, figuring out and implementing the best technical solution, then deploying and monitoring the results.

Who You Might Be (nice-to-haves)

• You have written code in Python or TypeScript. You have experience writing efficient Dockerfiles and building secure container images.
• You have implemented load tests with k6 (REST) and ghz (gRPC) and have experience analyzing pprof/trace output.
• You have done IaC deployments with Argo CD or Terraform, or have used Google Cloud Platform and Google Kubernetes Engine before. You are familiar with Tilt and have written a Kubernetes Operator before.
• You are familiar with testing event-driven systems using Kafka (or even better, Redpanda).

RegScale is a continuous controls monitoring (CCM) platform that helps organizations automate and scale their security, risk, and compliance programs. We are at an inflection point, transitioning from startup execution to a disciplined, enterprise ready engineering organization, and we are building the team that will take us there. Integrations are central to how RegScale delivers value, connecting the platform to the security, engineering, and business tools our customers depend on daily and ensuring compliance data flows reliably across complex enterprise environments.

The Role

Senior Software Engineers on the Integrations team own the design and delivery of the systems that connect RegScale to the outside world. You think in frameworks and patterns, building reusable foundations that make every subsequent integration faster, more reliable, and easier to maintain. You take ownership of your work from design through production and measure your success not just by what you deliver but by the quality and reusability of what you leave behind.

You will tackle genuinely hard problems including synchronizing millions of security findings while maintaining data integrity, building resilient integrations that handle rate limits and eventual consistency, and designing data models that work across diverse and unpredictable vendor APIs. You will work closely with Product, Customer Enablement, and Platform Engineering to ensure integrations are built on sound engineering foundations and reflect real customer usage patterns in the GRC domain.

This role is for an engineer who brings strong systems thinking, takes end to end ownership, and is energized by the challenge of making complex external ecosystems work reliably inside an enterprise compliance platform.

Key Responsibilities

• Take end to end ownership of integrations from requirements and architecture through implementation, testing, deployment, and production reliability.
• Design and build scalable, event driven integration frameworks that connect RegScale with external platforms including vulnerability scanners, SIEM and SOAR tools, cloud security platforms, ticketing systems, and identity providers.
• Build intelligent data ingestion pipelines that normalize, enrich, and contextualize security data from disparate sources, handling high velocity events and optimizing for throughput, consistency, and cost.
• Design reusable SDKs, templates, and integration patterns that accelerate future integration development for both internal teams and customers building custom connectors.
• Build and maintain robust API infrastructure including REST APIs, webhook architectures, and OAuth and OIDC flows, with resilient handling of API changes, versioning, and high data volumes.
• Identify technical risks and integration failure modes early, bringing proposed solutions and mitigation strategies rather than surfacing problems at the point of crisis.
• Implement comprehensive monitoring, alerting, and data quality checks across integration touchpoints, ensuring production reliability and fast diagnosis of issues across distributed systems.
• Partner with Product, Customer Enablement, and Platform Engineering to translate integration requirements and customer use cases into sound technical solutions that reflect real world GRC workflows.
• Contribute to engineering standards, code reviews, and technical mentorship, raising the quality and consistency of integration engineering across the team.

Required Qualifications

• 8 or more years of professional software engineering experience with a demonstrated track record of designing and delivering production grade, high-performance integration systems at scale.
• Deep expertise in API design patterns and integration architecture, with the judgment to choose the right approach for a given integration challenge.
• Strong foundation in distributed systems, event driven architectures, and asynchronous processing, including hands on experience with message queues and workflow orchestration.
• Proven ability to design reusable frameworks and patterns rather than point solutions, with measurable impact on the speed and quality of subsequent work.
• Experience with cloud platforms such as Azure, AWS, or GCP and a solid understanding of how infrastructure constraints shape integration architecture decisions.
• Deep knowledge of data modeling, ETL patterns, and data consistency strategies across heterogeneous systems.
• Strong written and verbal communication skills, able to work effectively across engineering, product, and customer facing teams and articulate technical tradeoffs clearly to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience integrating with security or DevOps tools such as vulnerability management platforms, cloud security tools, CI/CD systems, or ticketing platforms. Familiarity with tools like Wiz, Tenable, or Jira is a meaningful advantage.
• Background in regulated industries or compliance focused platforms where data integrity, auditability, and security requirements shaped integration design decisions.
• Experience with streaming platforms such as Kafka, Kinesis, or Pub/Sub in a production integration context.
• Familiarity with OSCAL, SARIF, OCSF, or compliance data standards, bringing domain context that makes integration design decisions more informed and credible with enterprise and government customers.
• Experience building or contributing to developer facing SDKs or integration frameworks used by external teams or customers.

RegScale is only able to hire US Citizens

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Working at Chartbeat

During your time at Chartbeat, you can expect to work with a modern software development stack and engineering systems built for scale. You will also have a chance to meet heads of other departments such as Sales, Finance, Product and more, who will give you a view into what and how they work, it will be an opportunity not only to dive into all things engineering, but also to learn about how an enterprise SaaS company works end to end. Some logistics info, the internship will be fully remote with an expectation to work during the US east coast business hours. We will be providing a Macbook that will be used and returned back to us after the internship. Interns in the NYC area will have the chance to meet some of our local team members at a co-working space occasionally and work together. Finally, our interns will also be able to expense two lunches every month when meeting with anyone at the company - we encourage them to mix and mingle! 

Data Engineering Internship: 

Preferred Skills: Python, SQL

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

Frontend Engineering Internship 

Preferred Skills: React or Angular, JavaScript

Chartbeat’s intuitive and powerful software has long empowered media brands to use their own data to build loyal audiences across desktop, social, and mobile platforms. With easy-to-use real-time and historical analytics, in-page optimization and testing tools, and unique insights into audience engagement, Chartbeat’s products bring value to editorial, product, and business teams. 

In 2023, Chartbeat acquired Tubular Labs, a leader in global social video intelligence and measurement. Tubular provides a unified view of the shifting values and interests of audiences across YouTube, Instagram, Facebook, TikTok and Twitch. Together, we’re expanding the ecosystem of insights we provide to enterprise content creators who are developing audiences and revenue streams across channels. 

The data we process each day is massive in scale, Chartbeat’s products measure nearly 100 billion pageviews each month, over 1 million messages pass through our data systems each second and support measuring tens of millions of concurrent visitors across our customers’ sites. At Tubular, we have empowered 5,000+ creators and 200+ enterprise customers to create content with confidence, improve their organic and paid promotion, find and partner with influencers, and report it all out efficiently. Tubular analyzes the engagement of the world of digital video viewers and tracks 7+ billion videos and live streams across all major social platforms.

The Tech Stack and Team

Our Engineering systems use an exciting array of technologies. Most of our backend systems use Python and the frontend uses React, Angular and JavaScript. We also use a variety of database technologies, including PostgreSQL, Snowflake, Redshift, and Redis. Everything is connected by message buses powered by Apache Kafka and RabbitMQ. We are a small and strong team of under 50 engineers and an Engineering Intern at Chartbeat, you will have the opportunity to work with our core engineering team responsible for building, scaling, and maintaining our data systems, front end, analysis engines, and APIs. 

Intern Job Description

As an engineering intern at Chartbeat, you will be on a small cross-functional scrum team (typically, a few engineers, a designer, a data scientist, and a product manager) that will define your day-to-day activity — your team will collaborate to plan sprint goals and execute on those. As a member of the larger engineering organization, you’ll participate in team meetings, demos, tech talks, discussions and learning/teaching opportunities. You will work closely with a mentor, who will help you build and deploy our products. Candidates are expected to have experience in one of our preferred coding languages given below, basic knowledge of working with version control software (git) and project management tools such as jira. 

QA Engineering Intern

Preferred Skills: Basic knowledge of Python, React, Angular, JavaScript

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

We are hiring a Site Reliability Engineer

Our goal is to perfect enterprise infrastructure DevOps practices, raising the bar on what's possible with automation by embracing a model-driven approach, whether on-premise or on public clouds.

We run hundreds of private cloud, Kubernetes clusters, and applications for customers across both physical and public cloud estates. We identify and address incidents, monitor and observe applications, anticipate potential issues, and enable product refinement to ultimately achieve high-quality standards in our open source portfolio.

To succeed in this role, you need to have a strong background in Linux, Python, networking, and knowledge of how clouds work. Your work will encompass the entire stack, from bare-metal networking and kernel up to Kubernetes and open source applications. You can expect to be trained in our core technologies like OpenStack, Kubernetes, security standards, open source products like Kubeflow, Kafka, OpenSearch, databases, and many others.

Automation for us is a software engineering problem that we approach with a scientific mindset to bring operations at scale, driven by metrics and code.

Location: Globally remote role

The role

We deploy and run OpenStack, Kubernetes, storage solutions, and open source applications, applying DevOps practices.

To become a member of our team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from bare metal to containers, and you need the ability to work in operations with mission-critical services for global brand-name customers.

As a member of the team, you will gain experience in a broad range of cloud technologies. We evolve our offerings as the state of the art improves, so you get to stay current with the latest capabilities in open source infrastructure.

What we are looking for in you

• Degree in software engineering or computer science
• Python software development experience
• Operational experience in Linux environments
• Experience with Kubernetes deployment or operations
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Ability to travel internationally twice a year, for company events up to two weeks long

Bonus skills

• Familiarity with OpenStack deployment or operations
• Familiarity with public cloud deployment or operations
• Familiarity with private cloud management

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We adjust compensation every 6 months to ensure we recognize outstanding performance, and in addition to base pay, we offer annual bonuses. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Every 6 months compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programs
• Opportunity to travel to new locations to meet your colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background creates a better work environment and better products. Whatever your identity, we will give your application fair consideration.

 #LI-Remote

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring an Cloud Solutions Architect in our Alliances team to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.

Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to the edge. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.

We help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications. For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners. You will support various alliances and partners of Canonical to adopt our products and technologies, help business leaders to define joint go-to-market programs with partners from the technical standpoint.

We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.

Location: This is a home-based role, we are hiring worldwide.

What your day will look like

• Understand Ubuntu, Linux, networking and services in real-world environments
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud)
• Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX
• Help partners to offer and architect joint solutions utilizing Canonical’s technologies on top of the public clouds and in the data center
• Design and publish joint Reference Architectures and perform technical validations with various partners
• Prepare and run onboarding sessions/workshops with various partners’ teams to promote Canonical products and solutions

If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Architect role at Canonical.

What we are looking for in you 

• Extensive experience with Linux (Ubuntu preferred), Kubernetes, Ceph, software automation
• Experience designing and implementing solutions on top of public or private clouds
• Python and bash understanding, troubleshooting skills
• Fluent written and spoken English
• Excellent communication and presentation skills
• High motivation, ability to multi-task and follow-up reliably on commitments
• Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs
• Interest in new technologies like LXD, Juju and Snaps
• Ability to travel globally up to 30% of the time
• Degree in Computer Science, Mathematics, Physics or related technical field experience

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-Remote

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing. We are hiring an Alliances Field Engineer to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.

Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to the edge. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries.

We help global companies embrace public and private cloud infrastructure, cloud native operations, and open source applications. For this team we are looking for several Alliances Engineers to support OEM (hardware manufacturers), GSI (global system integrators), ISV (independent software vendors), Channel partners and Public Cloud alliance partners. You will support various alliances and partners of Canonical to adopt our products and technologies, help business leaders to define joint go-to-market programs with partners from the technical standpoint.

We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true.

Location: This is a home-based role, we are hiring worldwide.

What your day will look like

• Understand Ubuntu, Linux, networking and services in real-world environments
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud)
• Architect and integrate popular open source software such as PostgreSQL, MongoDB, Kafka, Cassandra and NGINX
• Help partners to offer and architect joint solutions utilizing Canonical’s technologies on top of the public clouds and in the data center
• Design and publish joint Reference Architectures and perform technical validations with various partners
• Prepare and run onboarding sessions/workshops with various partners’ teams to promote Canonical products and solutions

If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.

What we are looking for in you 

• Extensive experience with Linux (Ubuntu preferred), Kubernetes, Ceph, software automation
• Experience designing and implementing solutions on top of public or private clouds
• Python and bash understanding, troubleshooting skills
• Fluent written and spoken English
• Excellent communication and presentation skills
• High motivation, ability to multi-task and follow-up reliably on commitments
• Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs
• Interest in new technologies like LXD, Juju and Snaps
• Ability to travel globally up to 30% of the time
• Degree in Computer Science, Mathematics, Physics or related technical field experience

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-Remote

As Engineering Manager for the Customer Data Platform team at Postscript, you will partner with the team’s Principal Engineer & Architect to manage a team of skilled product and data engineers building our CDP from the ground up as part of Postscript’s transformation into an agentic-first company.

Engineering Managers are directly responsible for day-to-day people management of their direct reports. They focus on leadership, people management, and delivery/execution duties. Our backend, primarily Python within an AWS architecture, is evolving to meet scalability and complexity demands. Your team will be responsible for building greenfield data platform capabilities necessary to power segmentation, targeting, and agentic experiences across Postscript’s product suite.

The ideal candidate has experience leading small to mid-size engineering teams building data-intensive products. They have a passion for data infrastructure, product engineering, and delivering great work that drives business value. The best candidates possess the ability to perform the duties of a technical contributor, project manager, and people manager on any given day and know when and how to switch between those hats as needed to achieve success for their team(s) and the overall company.

Primary duties

• Lead a team of engineers building Postscript’s Customer Data Platform from the ground up
• Collaborate with product managers, data science, business stakeholders, designers, and other engineering teams to plan and execute work
• Carry out performance management duties for your direct reports via just in time feedback, 1:1s, annual reviews, and continuous improvement opportunities
• Consistently provide ongoing technical mentorship and general professional development for your direct reports and other engineers at Postscript
• Establish and continually improve development and team processes that yield maximum efficiency in day-to-day engineering operations
• Partner with the Principal Engineer & Architect and other technical experts to develop technical roadmaps for data infrastructure, pipeline reliability, and platform scalability
• Recruit and hire engineers on your team and on other teams, raise and advocate new positions on your team, and directly participate in the screening and evaluation of candidates
• Lead and participate in culture initiatives that will help us create the best engineering organization in the world

What We’ll Love About You

• A proven career directly managing engineers (ideally 3+ years of leadership experience).
• Experience building and scaling data platforms, pipelines, or event-driven systems.
• Comfortable partnering with highly technical senior ICs (Staff/Principal engineers) on architecture and technical direction.
• Strong understanding of data modeling, ETL/ELT patterns, and real-time processing.
• Demonstrated excellence in recruiting and onboarding engineers.
• Clear passion for people, management, and enabling people to do their best work.
• Early stage/high growth SaaS experience.
• Experience with cloud infrastructure (AWS preferred) including services like Kafka, Postgres, MongoDB, or similar.
• Introduced and maintained systems with a high level of observability (alerting, logging, monitoring).
• Lead teams that support deeply embedded integrations with external ecommerce and internal platform systems.
• Demonstrated passion for delivering great products (martech SaaS or ecommerce experience preferred).

What You’ll Love About Us

• Salary range of USD $203,000-$236,000 base plus significant equity regardless of location
• High growth startup - plenty of room for you to directly impact the company and grow your career!
• Remote team - work from home (or wherever!)
• Fun - We’re passionate and enjoy what we do
• Competitive compensation and opportunity for equity
• Flexible paid time off
• Health, dental, vision insurance
• Other great perks

Location: Remote (Global)

Role Overview

We are looking for a passionate and skilled Developer Advocate to join our team. If you're enthusiastic about empowering developers, thrive in technical communities, and excel at both technical communication and content creation, we'd love to hear from you.

Key Responsibilities

• Engage actively in the DataHub Slack community by answering technical questions, offering guidance, leading conversations, and fostering positive interactions.
• Create compelling technical content such as technical blog posts, tutorials, and video content to educate users about DataHub's features, integrations, and best practices.
• Deliver impactful technical presentations at conferences, webinars, and community events to promote DataHub and the broader metadata management ecosystem.
• Collaborate with DataHub's product and engineering teams to understand technical concepts deeply and translate them into clear, digestible content for diverse audiences.
• Develop and maintain example projects, sample code, and other resources to help developers succeed with DataHub.
• Identify opportunities to improve DataHub's developer experience and advocate for user needs within the engineering team.
• Partner with marketing to build campaigns that attract new developers and increase community engagement.

Required Qualifications

• Previous experience in a Developer Advocate role in the metadata or open source ecosystems.
• Hands-on experience using DataHub with technical expertise in data engineering and metadata management.
• Strong communication skills, both written and verbal, with a talent for simplifying complex technical concepts.
• Proven experience creating technical content such as blog posts, video tutorials, or documentation.
• Comfortable speaking at events, leading workshops, participating in podcasts, or hosting livestreams and webinars.
• Experience contributing to open-source projects and engaging with technical communities.
• Empathy and patience to help developers of varying skill levels succeed.
• Familiarity with data ecosystems (e.g., Apache Kafka, Spark, dbt, Airflow) is a plus.

If you are passionate about helping developers unlock the power of intelligent AI & data management, we want to hear from you! Apply today to become an integral part of the DataHub journey.

Department/Team: Engineering 
Clearance Requirement:  Not Required - Must be eligible
Location: Remote
Employment Type: Full-time, Salaried

Role Summary

We are seeking a Senior Data Engineer to design and build high-performance real-time data platforms that power analytics, machine learning, and operational intelligence. This role focuses on streaming data pipelines, distributed processing, and large-scale event data systems.

You will work on building and operating low-latency data pipelines using technologies such as Apache Flink, Apache Druid, Kafka, and modern data infrastructure, enabling real-time insights across large volumes of structured and unstructured data.

This role requires strong experience in stream processing architectures, distributed systems, and scalable data infrastructure.

Key Responsibilities:

• Design and implement real-time streaming data pipelines for high-volume event data. 
• Develop and operate distributed data processing systems using technologies such as:
• Apache Flink
• Apache Kafka
• Apache Druid

• Build scalable ingestion pipelines capable of handling millions of events per second.
• Design low-latency analytical data stores for operational dashboards and real-time analytics.
• Optimize data pipelines for performance, scalability, and fault tolerance.
• Work with product and analytics teams to translate business needs into real-time data models.
• Build and maintain data observability, monitoring, and reliability frameworks.
• Implement schema evolution and data quality controls across streaming pipelines.
• Contribute to data platform architecture decisions and infrastructure design.
• Mentor junior engineers and promote best practices in data engineering and distributed systems.

Required Qualifications

• 7+ years of experience in data engineering or distributed systems development
• Strong experience building streaming data pipelines
• Hands-on experience with at least one major streaming framework
• Experience with real-time analytical databases 
• Experience with large-scale distributed systems
• Strong SQL skills and experience designing analytical data models
• Experience building fault-tolerant, highly scalable pipelines
• Proficiency in one or more programming languages:
• Java
• Python
• Experience with AWS 

Preferred Qualifications

• Experience operating Apache Flink clusters in production
• Experience with Apache Druid real-time ingestion
• Experience building low-latency OLAP analytics systems
• Experience with Kubernetes-based data infrastructure
• Experience with Iceberg / Hudi / Delta Lake
• Experience with real-time ML feature pipelines
• Experience building observability for data platforms
• Experience with high-volume event streams (billions of events/day)

About the Role:

We're looking for a backend engineer who can own and evolve our Ticketing & Ride Request (TRR) system — the service that handles everything from a rider tapping "Request a Ride" to a vehicle arriving at their station. This is a high-throughput, event-driven system where reliability isn't optional; real people are standing on a platform waiting for their ride.

You'll also contribute to the broader backend infrastructure that supports our suite of applications — think message queues, caching layers, database performance, and service-to-service communication. If you've ever been the person on your team who gets pulled into debugging the weird one, you'll feel at home here.
We care far more about how you think than where you went to school or how many years are on your resume. To show us you actually read this posting and aren't auto-applying, start the first sentence of your cover letter with the words "Ride request received." — we'll know you're paying attention.

• Designing and maintaining the TRR backend — ride matching, station queueing, request lifecycle management, and fare calculation
• Building and operating services on top of PostgreSQL, Redis, and RabbitMQ in a Kubernetes environment
• Improving system observability — tracing, metrics, alerting — so we catch problems before riders do
• Collaborating on API design with our frontend, mobile, and operations teams
• Participating in incident response and post-mortems; we run blameless retros and expect engineers to dig into root causes, not just restart pods
• Contributing to capacity planning and load testing as we scale to new deployment sites

• Deep fluency in at least one backend language (TypeScript/Node.js, Go, Python, or Java) — we use TypeScript heavily but value polyglot thinkers
• Hands-on experience with PostgreSQL (query optimization, indexing strategies, schema migrations) and Redis (caching patterns, pub/sub, rate limiting)
• Familiarity with message broker patterns — RabbitMQ preferred, but Kafka or NATS experience translates well
• Solid understanding of distributed systems fundamentals: consistency models, failure modes, backpressure, idempotency
• Experience with Kubernetes in production — not just deploying, but debugging networking issues, resource contention, and pod lifecycle surprises
• Strong debugging instincts: you're the kind of engineer who reaches for tcpdump or strace before restarting the service

• Experience with event-driven architectures or CQRS patterns
• Familiarity with Temporal.io or similar workflow orchestration frameworks
• Background in transit, logistics, or any domain where latency directly impacts a physical-world experience
• Experience operating multi-tenant or multi-site deployments
• You've written a runbook that actually saved someone at 2am

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Full-Stack Engineer with product vision. You’ll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You’ll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable.

Responsibilities

• Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration).
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Keep UIs accessible and responsive; add solid error-handling and failure-mode UX.
• Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns.
• Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.
• Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience.
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Frontend Engineer with product vision. You’ll lead with craft—shipping fast, accessible UX in React/TypeScript—and partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls. You care about clarity, performance, and simplicity in complex, data-heavy workflows—so the result feels simple, performant, and trustworthy.

Responsibilities

• Build and maintain frontend components and views for labeling, review, and evaluation workflows with performance, accessibility, and scalability in mind.
• Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast.
• Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones.
• Prototype to de-risk UX; use flags/gradual rollouts; gather feedback from users/support and iterate after releases.
• Raise the bar on FE standards: state management, testing, error boundaries, a11y, i18n, and developer ergonomics.
• Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production React/TypeScript apps (HTML/CSS mastery; ES6+; a11y).
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns.
• Comfort collaborating with APIs and occasionally touching backend code (Django/REST familiarity is a plus).
• Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well.
  
  

Nice to have

• Experience with data/ML tools, OSS, design systems, or performance profiling.
• Familiarity with feature flags/gradual rollouts and qualitative feedback loops (support forums, user sessions).
• Prior work on complex, data-heavy UIs (review tools, multi-step workflows, or IDE-like apps).
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It is an exciting time at HumanSignal, we are a growing startup and at this stage we are constantly evolving. While we have put a lot of thought into your first and most important initiatives, it’s only an example and something we will work on together. We're always learning and growing, so like us this role will evolve and expand. We hope that this opportunity sounds exciting to you and that you consider joining us on our journey!

This is a product-engineering role: not “build what you’re told,” but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business.

About the role

We’re hiring a Senior Backend Engineer with product vision. You’ll design and operate services in Python/Django that power labeling and evaluation workflows at scale: clean API contracts, robust data models, efficient background jobs, and dependable performance. You’ll partner early with PM/Design/FE to frame problems, prototype to learn, and make pragmatic scope calls—so complex workflows feel simple, reliable, and fast for users.

Responsibilities

• Design, build, and operate backend services/APIs in Python/Django with Postgres/Redis.
• Own outcomes, not tasks: refine scope, suggest trade-offs, and land increments that deliver value quickly and safely.
• Model data and author migrations; tune queries and caching; manage background jobs/queues for high-volume workflows.
• Evolve API contracts with FE; keep interfaces clear, versioned, and resilient to change.
• Improve reliability and performance (timeouts, retries, idempotency, rate limits, pagination, backpressure).
• Implement secure, multi-tenant patterns: auth, permissions/RBAC, auditability, and safe data boundaries.
• Contribute to testing strategy (unit/integration), error handling, and graceful failure modes.
• Partner with Support to investigate production issues and turn learnings into fixes and prevention.
• Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience.
• Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase.
  
  

What you’ll bring

• Senior-level experience shipping production backends in Python/Django (or a close equivalent) and SQL.
• Strong product sense: you’ve made scope/trade-off decisions and iterated based on real-world usage and feedback.
• Depth in REST API design, relational modeling, migrations, and performance tuning.
• Experience with background processing/queues (e.g., Celery/RQ/Kafka-backed workers) and operational concerns.
• Clear written communication at a Senior IC level—concise RFCs/PRDs, actionable reviews, and crisp decision records.
• Nice to have: GraphQL familiarity; Kafka/streaming; Spark/BigQuery; security/compliance exposure; multi-region architectures.
  
  

Our stack

Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis.

How we build

Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support.

How we work

At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues.

After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows.

Location & Compensation

At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above.

It’s an exciting time at HumanSignal. We’re growing quickly, and roles evolve as we learn. We’ve put thought into your first initiatives, but we’ll refine them together. If this sounds exciting, come build with us.

We are seeking a skilled Full-Stack Developer for one of our distinguished clients. Our client is a technology company that specializes in transforming brand safety and contextual advertising through advanced AI and machine learning solutions. They deliver sophisticated content analysis across multiple media formats, providing granular insights into content risk, sentiment, and thematic elements that go beyond traditional keyword-based approaches.

This role involves developing scalable applications and backend infrastructure that powers next-generation brand safety and content suitability platforms. You'll work across the entire technology stack, utilizing your expertise in Python, API development, browser automation frameworks, CI/CD processes, and large language models to create innovative solutions and maintain high-performance systems.

Key Responsibilities

• Design, develop, and maintain scalable APIs and backend infrastructure for processing and delivering brand safety and content suitability data
• Build integrations with third-party advertising ecosystem platforms including DSPs, SSPs, and CDPs
• Deploy machine learning models and business logic into production environments
• Create and optimize client-facing JavaScript implementations for publishers, focusing on performance, privacy compliance, and cross-browser functionality
• Maintain data accuracy and integrity throughout all system layers
• Build and enhance web applications ensuring optimal functionality and user experience across the full stack
• Take ownership of complete product features from conception through deployment
• Design and manage database systems, optimizing performance while ensuring data security
• Perform code reviews, debugging, and troubleshooting to maintain software quality standards
• Utilize AI tools, models, and capabilities to enhance product offerings
• Research and implement emerging technologies, tools, and development best practices

Required Qualifications

• 10+ years of software engineering experience
• Bachelor's degree in Computer Science, Software Engineering, or related technical field
• Advanced proficiency with backend programming languages and frameworks (Node.js, Python, Go, Java) including REST and GraphQL API development
• Extensive experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and automated deployment processes (CI/CD)
• Experience with event streaming technologies (Kafka, Kinesis) and large-scale data processing systems
• Strong skills in modern front-end development (React, Vue, or equivalent) with emphasis on performance and security for embedded implementations
• Comprehensive knowledge of API integration and working with large language models
• Proficiency in front-end technologies including HTML, CSS, and JavaScript frameworks (React, Angular, Vue)
• Solid experience with database management systems (MySQL, MongoDB, and similar)
• Excellent analytical and problem-solving capabilities with strong attention to detail
• Strong communication skills and collaborative team working abilities
• Commitment to continuous learning and staying current with industry developments and best practices

This position offers the opportunity to contribute to cutting-edge advertising technology solutions while working with a forward-thinking team focused on innovation and measurable impact for advertisers and publishers.

What are you waiting for? Fill out the form below and apply!

Summary

Glide is looking for a Tech Lead Manager to lead our Platform engineering team. We are growing fast and need to evolve our data sources strategy, become more efficient with our infrastructure utilization as we scale, and achieve a high level of operational excellence for availability, security, and performance.

The ideal candidate has experience establishing services and architectural patterns that scale predictably, evolving legacy services already in production, and building data and infrastructure teams.

We’re building a simpler, faster way for anyone to build custom software for their business, without any technical or design skills. Tens of thousands of non-technical people use Glide to build apps to power their businesses, organizations, personal projects, and more. As customers create apps to visualize, interact with, take action on, and analyze their growing data sets, we must keep this big picture in mind as we improve various levels of our engineering stack.

Responsibilities

As an engineering manager leading a deeply technical area, we don’t expect you to write code, but you should be able to engage in conversations around code, infrastructure, and architectural designs.

Technical

• Facilitate the standardization of Glide’s data sync and persistence infrastructure

• Drive integrations with data source platforms to be able to provide customers with new data sources at an accelerated pace

• Design, develop, and maintain a REST API into Glide’s data and core services

• Provide build, test, and runtime infrastructure to service teams

• Ensure patterns are established for database throttling and request rate limiting to protect Glide’s uptime

• Monitor infrastructure costs and coordinate improvements when necessary

• Drive SRE tooling and best practices around observability and alerting

People Management

• Cultivate an environment where team members are empowered through a collective sense of ownership and belonging

• Meet with team members 1-on-1 on a regular basis

• Ensure that team members learn, grow, and advance in their careers

• Create a shared understanding of decision making, direction, and progress for the team and the company

• Encourage an environment of technical excellence, and facilitate architectural discussions and decision making

• Provide technical project management support to the team, ensuring projects are scoped well for delivery, managed for risk, and delivered well

• Collaborate with cross-functional stakeholders and across team boundaries to deliver key parts of our roadmap

Minimum Qualifications

• 5+ years engineering management experience

• Experiencing building and maintaining highly available and scalable distributed systems

• Have previously managed or built an infrastructure, developer experience, data, API, or equivalent platform team

• Deep understanding of Accelerate concepts of Lead Time, Deployment Frequency, Mean Time to Recovery, Change Failure Rate and how they affect delivery

• You are a clear and effective communicator, be it when you write code, write emails, or explain complex technical issues to non-technical co-workers

• Passionate and self-motivated, with a demonstrated ability to work in a fast-paced and evolving environment

Preferred qualifications

• Experience with data source platforms like Supabase, Airtable, Firestore, Sequin, Paragon

• Experience with Google Cloud Platform services like Cloud SQL, Cloud Run, AlloyDB, or equivalent

• Scaled an event-driven architecture using Apache Kafka, Cloud Pub/Sub, or other eventing system

• Have given conference talks around the OpenAPI spec, REST, or GraphQL API patterns

• Familiarity with telemetry and monitoring solutions like Datadog, Prometheus, Grafana, Splunk, Google Cloud Logging

• Bachelor or Master’s degree in Computer Science, Software Engineering, or related field

Compensation

We offer a competitive salary and benefits package, a supportive and dynamic remote work environment, and opportunities for career growth. If you are a self-starter with a passion for scaling platform services and the teams that support them, we want to hear from you!

Glide is an equal opportunity employer and welcomes applicants from all backgrounds to apply.