Jobs at Evlo AI

The Site Reliability Engineer owns the systems and practices that keep production services available, performant, and recoverable at scale, focusing on Kubernetes-based workloads, cloud infrastructure, observability, and incident response. The role requires designing and operating highly available infrastructure on AWS or GCP using Kubernetes, Terraform, and infrastructure-as-code; building observability across services using Prometheus, Grafana, OpenTelemetry, and centralized logging; and automating deployment, scaling, backup, and recovery workflows through CI/CD pipelines.…See more The engineer will define SLIs and SLOs, lead incident response and root-cause analysis, harden systems through access controls and disaster recovery testing, and partner with application teams to improve service design and operational readiness. The position requires 3–8 years of DevOps or platform engineering experience, hands-on Kubernetes and containerized services operation, strong Linux and networking fundamentals, proficiency with Terraform or equivalent infrastructure-as-code, observability implementation experience, and strong scripting or programming skills in Python, Go, or Bash.

The DevOps Engineer owns the design, deployment, and operation of production infrastructure at scale across AWS and Kubernetes, with responsibility for CI/CD pipelines, observability, and incident response. The role requires hands-on expertise in AWS services (EC2, EKS, VPC, IAM, S3, RDS), Kubernetes cluster operations, Terraform-based infrastructure-as-code, and monitoring tools like Prometheus and Grafana.…See more You will automate operational workflows with Python, Go, or Bash, lead incident investigations, and partner with software engineers and SREs to improve release velocity and system reliability. 3–8 years of DevOps, SRE, or platform engineering experience is expected.

The DevOps Engineer will design, build, and operate highly available AWS infrastructure using Kubernetes, Terraform, and Docker, while implementing CI/CD pipelines and observability solutions to keep production services reliable at scale. Core responsibilities include managing production Kubernetes clusters, automating operational workflows with Python/Go/Bash, implementing observability with Prometheus/Grafana/OpenTelemetry, and participating in on-call rotations and incident response.…See more The role requires 3–8 years of hands-on DevOps or SRE experience with AWS, Kubernetes, Docker, and Linux in production, plus proficiency in infrastructure-as-code tools like Terraform and CI/CD pipeline design.

Build and ship production iOS and Android features using Swift/SwiftUI and Kotlin/Jetpack Compose, designing mobile architecture for networking, persistence, authentication, and state management. Profile and optimize startup time, memory, battery, and crash rates using platform-specific tools.…See more Write unit, integration, and UI tests; maintain CI/CD pipelines via Fastlane or equivalent; and diagnose production issues across App Store and Google Play. Requires 3–8 years shipping native mobile apps with strong Swift and/or Kotlin proficiency, REST/GraphQL API design, and hands-on mobile testing and release management experience.

The UX Designer creates end-to-end user experiences for a cloud-based platform, translating complex workflows and data into clear interfaces for technical and business users. Responsibilities include designing user flows, wireframes, and interactive prototypes in Figma; maintaining a shared design system; partnering with researchers on usability studies; and collaborating with product and engineering teams throughout the product lifecycle.…See more The role requires 1–3 years of UX/product/interaction design experience, strong Figma proficiency, and experience designing complex web applications or SaaS dashboards. The ideal candidate brings user-centered design methods, usability testing, and accessibility expertise, with bonus skills in design systems, analytics tools, and HTML/CSS.

Design, build, and operate production ML systems across the full lifecycle—from data preparation and model training through deployment, monitoring, and continuous improvement. Partner with data scientists, software engineers, and platform teams to turn research prototypes into reliable, scalable services.…See more Work across recommendation, ranking, forecasting, classification, NLP, and generative AI depending on product priorities. Balance model quality, inference latency, scalability, and operational resilience as equally important outcomes.

This UX Designer role shapes end-to-end experiences for a cloud-based AI platform, translating complex workflows and data into intuitive web and mobile interfaces. The designer will own discovery, interaction design, prototyping, and delivery across multiple product areas, working closely with product managers, engineers, and UX researchers.…See more Responsibilities include defining user flows and information architecture, creating high-fidelity designs in Figma with reusable components, conducting and synthesizing usability research, and contributing to a scalable design system. The role requires 3–6 years of product design experience, strong Figma proficiency, expertise in accessibility (WCAG), and demonstrated ability to collaborate across cross-functional teams in an agile environment.

The Site Reliability Engineer owns the reliability, scalability, and operational readiness of production services running on AWS and Kubernetes. Responsibilities include designing highly available infrastructure with Terraform and managed AWS services, building CI/CD pipelines with GitHub Actions and Argo CD, defining SLOs and implementing observability with Prometheus and Grafana, leading incident response, and automating operational work with Python, Go, or Bash.…See more The role requires 3–8 years of hands-on SRE or DevOps experience, production Kubernetes expertise, strong AWS and infrastructure-as-code knowledge, and proficiency with observability and deployment strategies.

The UX Designer will lead end-to-end interaction and visual design for web and mobile products, translating user research and technical constraints into information architecture, wireframes, prototypes, and production-ready UI specifications in Figma. Responsibilities include usability testing, design critiques, design-system maintenance, and cross-functional collaboration with product, engineering, and research teams.…See more The role requires 3–6 years of shipped digital-product experience, strong Figma proficiency, user-centered design methodology, responsive design and WCAG accessibility knowledge, and ability to communicate design rationale to engineers and product managers.

The UX Designer will design end-to-end experiences for web and mobile products, creating user flows, wireframes, high-fidelity interfaces, and interactive prototypes in Figma. The role requires translating research findings, analytics, and stakeholder input into clear product requirements, maintaining shared design systems, and collaborating with product, engineering, and research teams through discovery, testing, and implementation.…See more You will conduct usability tests, validate design decisions using tools like Maze and UserTesting, and present design rationale to cross-functional partners while maintaining accessibility and visual consistency.

The Data Engineer designs and operates batch and streaming data pipelines, data models, and warehouse services that transform high-volume operational data into reliable datasets for analytics, reporting, and product use cases. The role requires hands-on expertise in Python, SQL, Apache Spark, Kafka, Airflow/Dagster orchestration, and cloud data platforms (Snowflake, BigQuery, Redshift).…See more Responsibilities include building scalable ELT/ETL pipelines, implementing data quality and observability practices, optimizing warehouse performance, and partnering with analysts and engineers to define metrics and data products. The position demands 3–8 years of professional experience, strong software engineering practices (version control, CI/CD, testing), and a deep understanding of data modeling, distributed processing, and cloud infrastructure.

Build and maintain native iOS and Android applications serving millions of active users, owning end-to-end development, performance, and reliability. Design responsive interfaces and offline-first architectures using Swift and Kotlin, collaborating with product and backend teams to ship features in fast-paced agile cycles.…See more Identify and resolve performance bottlenecks, memory leaks, and concurrency issues using profiling tools, maintain code quality through automated testing and CI/CD pipelines, and mentor junior engineers.

Design, build, and maintain high-performance native and cross-platform mobile applications for iOS and Android, with a focus on fluid UIs, low-latency APIs, and offline capabilities. Architect features in Swift and Kotlin, optimize performance for 60fps animations and minimal battery consumption, and integrate RESTful APIs and GraphQL endpoints with robust caching.…See more Write comprehensive unit and integration tests using XCTest, JUnit, and Espresso, and collaborate with product, design, and backend teams on iterative feature delivery.

This role owns end-to-end design, implementation, and scaling of production machine learning systems for enterprise applications. You will architect and deploy ML models using Python and PyTorch on AWS, build data pipelines with Apache Spark and SQL, optimize model serving with Docker and Kubernetes, and implement monitoring for data drift and performance regressions.…See more The position requires 3–6 years of ML engineering experience, strong Python proficiency, hands-on deep learning framework experience (PyTorch or TensorFlow), and a proven track record deploying models to production on cloud platforms.

This role involves designing, implementing, and scaling production machine learning systems for high-throughput applications. The engineer will build scalable data ingestion and feature engineering pipelines, implement CI/CD pipelines for ML models, and monitor deployed models for drift and performance issues.…See more The position requires 3–6 years of professional software engineering experience with at least 3 years specifically in production machine learning, proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX), and hands-on experience with cloud infrastructure, MLOps platforms, and distributed systems.

The Backend Engineer will design, develop, and scale core backend services and APIs for high-throughput applications using Node.js, Python, or Go. Responsibilities include architecting relational and NoSQL databases for high availability, building data pipelines and asynchronous processing systems, and deploying cloud infrastructure on AWS with Docker, Kubernetes, and Terraform.…See more The role requires 3–6 years of experience building distributed systems at scale, with deep expertise in database design, caching strategies, and cloud platforms. You'll also own monitoring, performance optimization, and comprehensive testing across unit, integration, and end-to-end scenarios.

Design, implement, and scale core backend services and APIs using Python, Go, Node.js, or Java to support high-throughput applications. Architect and optimize relational (PostgreSQL) and NoSQL (Redis) databases, deploy containerized services on AWS/GCP using Docker and Kubernetes, and build CI/CD pipelines with comprehensive automated testing.…See more Monitor production systems, troubleshoot incidents, and collaborate cross-functionally to deliver reliable, low-latency features. Requires 3–6 years of distributed systems experience and proficiency in at least one backend language.

Design, build, and scale ETL/ELT pipelines and cloud data warehouse infrastructure using Python, SQL, and modern orchestration tools like Apache Airflow or Prefect. Own the end-to-end data infrastructure that powers business intelligence and operational reporting, including data quality checks, anomaly detection, and performance optimization.…See more Collaborate with analytics and software engineering teams to define data modeling standards and maintain infrastructure-as-code deployments using Terraform and CI/CD. Requires 3–6 years of data engineering or backend development experience with advanced SQL, Python, and hands-on work with cloud data warehouses like Snowflake or BigQuery.