Design and deploy a modern observability stack including logging, metrics, and distributed tracing across hundreds of services.
Build alerting policies and incident response workflows to reduce manual escalations and improve mean time to detect and resolve.
Automate toil and set SRE standards while mentoring engineers on observability tooling.
WeightWatchers is a global digital health company and the world's #1 doctor-recommended behavioral weight health program. They have a cloud architecture supporting hundreds of services and are expanding their platform engineering team.
Build, deploy, and maintain scalable, highly available systems on AWS and own CI/CD pipelines and infrastructure as code.
Improve system reliability with alerting, runbooks, and observability using Grafana, Loki, Mimir, and Tempo.
Mentor junior engineers, collaborate on infrastructure design, and participate in on-call rotation with rare off-hours incidents.
Waymark is a mission-driven team of healthcare providers, technologists, and builders working to transform care for people with Medicaid benefits. We partner with communities to deliver technology-enabled, human-centered support that helps patients stay healthy and thrive.
Design and manage scalable, secure cloud infrastructure on AWS using Terraform and CI/CD pipelines.
Implement containerization with Docker and Kubernetes for reliable software delivery across environments.
Ensure platform reliability and security through monitoring, logging, and compliance best practices.
Coderio designs and delivers scalable digital solutions for global companies, combining strong technical expertise with a product mindset to lead complex software initiatives end-to-end. They work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
Ensure reliability, scalability, and security of mission-critical cloud infrastructure and CI/CD environments.
Develop and implement automation solutions to streamline operational tasks and improve deployment efficiency.
Monitor system health and performance, proactively resolving incidents and contributing to continuous improvement.
Jobgether uses AI-powered matching to connect candidates with hiring companies. They are a platform that processes applications and shares top-fitting candidates with employers, operating remotely.
Own and drive the end-to-end platform roadmap, leading consolidation of infrastructure stacks into a unified, scalable platform.
Design and optimize cloud infrastructure for performance, scalability, security, and cost efficiency across large-scale distributed systems.
Mentor engineers and help elevate overall platform engineering maturity, including tooling, processes, and best practices.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They are a remote-first, globally distributed team that prioritizes efficiency and engineering excellence.
Design, build, and automate enterprise-grade AWS SageMaker environments to support scalable machine learning initiatives.
Develop and implement DevOps automation for SageMaker Unified Studio and related cloud infrastructure.
Build and optimize CI/CD pipelines for deploying custom Docker images, kernels, and machine learning workloads.
This role is listed on behalf of a partner company that builds and optimizes enterprise-scale machine learning infrastructure. They operate with a collaborative international team and modern engineering practices.
Establish and promote modern DevOps culture and practices across engineering teams.
Deploy, manage, and optimize both on-premises and cloud-based Kubernetes clusters.
Automate and continuously improve CI/CD pipelines to ensure seamless delivery.
Kyivstar.Tech is a Ukrainian hybrid IT company and a subsidiary of Kyivstar, one of Ukraine’s largest telecom operators, creating innovative technological solutions that transform lives. With over 500 specialists, we embrace an entrepreneurial culture that fosters continuous growth and challenges conventional thinking.
Ensure availability, scalability, and resilience of AWS cloud environments.
Design, implement, and maintain CI/CD pipelines with infrastructure as code.
Collaborate with teams to drive automation and platform reliability.
Jobgether uses an AI-powered matching process to connect candidates with hiring companies. They process personal data per GDPR and may use AI tools in hiring.
Design and maintain scalable ML infrastructure including data pipelines, training workflows, and model deployment systems.
Own end-to-end ML lifecycle operations, ensuring reliable delivery of models into production at scale.
Implement monitoring, telemetry, and feedback loops for ML models running across large-scale device fleets.
Our partner company develops ML systems for connected hardware products used by customers worldwide. They operate in a fast-paced, product-driven environment with a collaborative and technically ambitious culture focused on real-world ML impact.
Define and implement scalable cloud platform solutions to improve reliability and developer productivity.
Establish Infrastructure as Code standards and CI/CD platforms to enable secure, automated software delivery.
Drive observability strategy and embed security principles into platform designs.
The company builds and scales cloud platform capabilities to enable fast, secure, and reliable software delivery. It fosters a strong engineering culture focused on platform innovation and continuous improvement, with a remote-first approach.