Software Engineer, Test Automation at Anyscale

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Machine LearningIndustries

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
3+ years of experience in software test automation or infrastructure engineering
Strong coding skills in Python (Go experience a plus)
Experience building test frameworks or automation for distributed systems, microservices, or cloud-native applications
Familiarity with Kubernetes, Docker, and CI/CD systems (GitHub Actions, Jenkins, Buildkite, or similar)
Proficiency with cloud platforms (AWS, GCP, or Azure)
Knowledge of observability tools such as Prometheus, Grafana, or OpenTelemetry
Understanding of networking, security, and system reliability concepts

Responsibilities

Design and develop automated test frameworks for large-scale, distributed systems
Build end-to-end, performance, and integration tests for control and data plane components
Implement test pipelines to improve release velocity and reliability
Develop tools for cluster-level simulation, fault injection, and stress testing of Ray workloads
Collaborate with product and infrastructure engineers to ensure new features meet quality and scalability goals
Drive improvements in test coverage, observability, and reliability metrics
Support and optimize automated testing in Kubernetes, AWS, GCP, and Azure environments
Contribute to open-source Ray testing infrastructure and internal infinite laptop product quality
Participate in design and architecture discussions, code reviews, and system debugging

Skills

Key technologies and capabilities for this role

Test AutomationAutomated Testing FrameworksIntegration TestingPerformance TestingTest PipelinesDistributed SystemsFault InjectionStress TestingRayPythonCI/CDObservability

Questions & Answers

Common questions about this position

What experience is required for the Test Automation Software Engineer role?

Candidates need a Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience, plus 3+ years in software test automation or infrastructure engineering. Strong coding skills in Python are required, with Go experience a plus.

What technical skills are essential for this position?

Key skills include experience building test frameworks for distributed systems, microservices, or cloud-native applications, familiarity with Kubernetes, Docker, and CI/CD systems like GitHub Actions, Jenkins, or Buildkite, and proficiency with cloud platforms such as AWS, GCP, or Azure.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of collaboration is involved in this role?

You will collaborate closely with infrastructure, cloud platform, and Ray open-source teams, as well as product and infrastructure engineers, and participate in design discussions, code reviews, and system debugging.

Anyscale

Platform for scaling AI workloads

About Anyscale

Anyscale provides a platform designed to scale and productionize artificial intelligence (AI) and machine learning (ML) workloads. Its main product, Ray, is an open-source framework that helps developers manage and scale AI applications across various fields, including Generative AI, Large Language Models (LLMs), and computer vision. Ray allows companies to enhance the performance, fault tolerance, and scalability of their AI systems, with some users reporting over 90% improvements in efficiency, latency, and cost-effectiveness. Anyscale primarily serves clients in the AI and ML sectors, including major companies like OpenAI and Ant Group, who rely on Ray for training large models. The company operates on a software-as-a-service (SaaS) model, charging clients a subscription fee for access to the Ray platform. Anyscale's goal is to empower organizations to effectively scale their AI workloads and optimize their operations.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$252.5MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Medical, Dental, and Vision insurance

401K retirement savings

Flexible time off

FSA and Commuter benefits

Parental and family leave

Office & phone plan reimbursement

Risks

ShadowRay vulnerability in Ray framework poses significant security risk with no patch.

OctoML's OctoAI service increases competition in AI infrastructure market.

Dependency on Nvidia's technology could be risky if Nvidia faces issues.

Differentiation

Anyscale's Ray framework scales AI applications from laptops to cloud seamlessly.

Ray is widely used in Generative AI, LLMs, and computer vision fields.

Anyscale's SaaS model provides recurring revenue through subscription fees for Ray platform.

Upsides

Anyscale's $100M Series C funding indicates strong investor confidence and growth potential.

Partnership with Nvidia enhances performance and cost-efficiency for AI deployments.

Anyscale Endpoints offers 10X cost-efficiency for popular open-source LLMs.

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