Design, build, and manage cloud data infrastructure on GCP using Terraform with a focus on automation and IaC best practices.
Take ownership of platform stability, performance, and quality through robust monitoring, alerting, and logging.
Collaborate closely with data and analytics engineers to support their needs and streamline deployment processes.
CI&T helps large enterprises transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 CI&Ters across over 25 countries, we collaborate to build solutions with real impact.
Build and maintain infrastructure platforms for over 200 backend services running on Kubernetes clusters with 40,000+ cores.
Lead and mentor other engineers, own complex infrastructure failures, and participate in a shared on-call rotation.
Drive cloud cost efficiency, estimate schedules, and use AI tools as a first-class collaborator in daily workflows.
Life360's mission is to keep people close to the ones they love through location sharing, safe driver reports, and crash detection. The company serves approximately 97.8 million monthly active users across more than 180 countries and has more than 500 remote-first employees.
Design and build cloud-native infrastructure for reliability, observability, and automation across GCP, GKE, and Cloud Run.
Own incident response, root cause analysis, escalation workflows, and runbooks to prevent hard problems from recurring.
Develop Infrastructure as Code, CI/CD pipelines, and operational tooling to improve developer velocity and platform efficiency.
CertifyOS is building the data infrastructure that powers modern healthcare, automating provider licensing, enrollment, credentialing, and network monitoring through an API-first platform. The company is backed by leading investors with a team of deep experience in provider data systems, valuing authenticity, accountability, collaboration, results, and openness to feedback.
Harden, simplify, and operationalize the production platform on Google Cloud Platform for enterprise customers.
Own and evolve core infrastructure, CI/CD pipelines, and infrastructure as code practices using Terraform or Pulumi.
Drive observability, developer productivity, and engineering culture to raise the bar across the team.
GC AI is the fastest-growing legal AI platform for in-house legal teams, building the future of legal work. With over 1,700 companies using the platform, including 150+ public companies and 25+ unicorns, the team has 10x'd revenue in 12 months and raised a $60 million Series B.
Drive the definition and adoption of SLIs and SLOs across services, reducing toil through automation and incident response.
Design and architect Infrastructure as Code solutions for large-scale environments using Docker, Kubernetes, and cloud-native services.
Serve as primary SRE liaison for development teams, influencing architecture and conducting training for clients.
Noctua Technology, LLC is a company that drives digital transformation by treating operations as a software engineering challenge, focusing on cloud native systems. They are a dynamic team seeking a Senior SRE to define strategy and bridge development and operations for clients.
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.
Own reliability, latency, and performance for AI platform services and data infrastructure on AWS.
Design and maintain CI/CD pipelines, infrastructure-as-code, and observability frameworks across the stack.
Partner with AI and data engineers to ensure secure, cost-optimized, and scalable deployment of platform components.
HHAeXchange is the leading technology platform for home and community-based care, providing an end-to-end homecare solution for people who are aging or have disabilities. Founded in 2008, the company is passionate about transforming healthcare by connecting patients, providers, managed care organizations, and states.
Lead cloud delivery and implementation of scalable, secure, and reliable cloud environments across Google Cloud Platform.
Design and manage cloud infrastructure including networking, compute, storage, identity, and platform services.
Implement cloud security controls, hybrid connectivity, observability, and automation using Terraform and Kubernetes.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, helping clients drive action and impact through data and insights using advanced technology platforms including Google Cloud and Salesforce. They are committed to being a place where the best people choose to work, dedicated to learning, solving tough problems, and continual innovation.
Lead design and operation of internal developer platforms and self-service infrastructure.
Build and optimize CI/CD pipelines, deployment workflows, and automation across GitHub Actions, Jenkins, ArgoCD.
Apply SRE principles to improve developer-facing systems and software delivery performance.
Versant is a media company owning iconic brands in news, sports, and entertainment, including USA Network, Fandango, and Rotten Tomatoes. It is an independent, publicly traded company with a collaborative, inclusive culture and a remote-first work environment.
Build and scale data infrastructure powering targeting, identity, and measurement capabilities.
Optimize core ETL/ELT pipelines and ensure operational reliability with documented SLAs.
Implement privacy-compliant data methodologies meeting GDPR/CCPA standards.
Kargo creates powerful moments of connection between brands and consumers to build businesses. With 600+ employees and offices across the US, UK, Australia, and Ireland, they take a creative science approach to deliver unique ad experiences across premium platforms.
Embed with product and platform teams from early stages to ensure reliability is designed in from the start.
Define production-readiness standards and measurable SLIs/SLOs to guide operational excellence.
Build tooling and infrastructure across AWS, GCP, and Azure using Terraform, and share on-call rotation.
We build WebContainers and Bolt.new, an AI-powered app builder that lets you create, edit, and deploy full-stack apps instantly in your browser. We are a fully remote, globally distributed team of passionate engineers serving over 1 million developers monthly.
Assist in managing multiregion and multicloud infrastructure, ensuring resiliency, scalability, and performance.
Support infrastructure provisioning and deployments primarily on GCP, while gaining exposure to other cloud providers.
Collaborate with development teams to design and maintain CI/CD pipelines in GitLab CI and contribute to GitOps-based deployments using ArgoCD.
Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, united around supercharging productivity and learning. Each team innovates independently, supported by centralized corporate operations functions, and the company values collaboration and growth.
Design, build, and maintain cloud infrastructure across Azure, GCP, and AWS, including landing zones, Kubernetes, and CI/CD pipelines.
Implement monitoring, security, and hybrid connectivity for enterprise-scale cloud environments.
Collaborate cross-functionally, mentor engineers, and leverage AI tools to accelerate infrastructure development.
Applied is an Insurtech company that builds technology solutions for insurance professionals. With over 40 years of experience, they foster a culture of trust, inclusion, and growth.
Design, implement, and improve Site Reliability Engineering practices across production environments with a focus on SLOs, SLIs, and error budgets.
Lead incident response processes and build observability strategies including monitoring, logging, alerting, and distributed tracing.
Partner with engineering teams to enhance system reliability, availability, scalability, and operational efficiency.
Oowlish is a rapidly expanding software development company in Latin America that collaborates with premier clients from the United States and Europe to create pioneering digital solutions. Certified as a Great Place to Work, it offers a nurturing environment with opportunities for professional growth and international impact.
Take ownership of incident management and operational excellence across cloud infrastructure.
Automate high-risk manual processes and drive reliability gains through engineering.
Own a platform domain such as Temporal, observability, or Kubernetes operations.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London with offices across Europe and the US, and has over $530 million in funding from premier investors like Accel and Nvidia's VC arm.
Manage and optimise Kubernetes clusters in GKE through Terraform.
Design and implement automation strategies that empower developers to self-serve.
Serve as the technical point-of-contact for GCP and Kubernetes-related queries.
Prolific builds the human data infrastructure that reshapes AI development by enabling collection of high-quality, ethically sourced human behavioral data. They are a mission-driven company with a competitive salary and benefits, offering remote working within a culture focused on impact and innovation.
Design, write and deliver software to implement and support large web-scale, highly-performant, highly-available infrastructure on GCP/AWS.
Monitor infrastructure, respond to incidents, correct and improve systems to prevent incidents, and plan capacity.
Tune large-scale clusters for optimal performance and efficiency and support system deployments and product releases.
OpenX develops digital advertising marketplaces and technologies to optimize ad delivery for publishers and advertisers. The company operates a large-scale cloud infrastructure in Poland and values teamwork, customer centricity, and continuous learning.
Build and maintain cloud infrastructure across GCP, Kubernetes, and Terraform.
Own CI/CD pipelines and deploy fully automated, locked-down systems.
Strengthen security, access control, and observability for a growing platform.
Gauntlet builds the financial systems of the future, operating across the entire stack to offer best-in-class vault products. The team serves over $1.5B in client TVL and brings together traditional finance and crypto-native expertise.
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.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.