Altimate Ai
Bengaluru
Full time
Engineering
Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like VSCode, Git, and Slack, performing tasks ranging from data documentation to performance optimization.
By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors, we're positioned at the forefront of the AI-powered data engineering revolution.
You can read more about us in a recently published venture beat article.
As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios.
As an Automation Engineer at Altimate AI, you will play a critical role in ensuring the quality, reliability, and efficiency of our AI-powered products. You’ll design and implement automation across testing, deployment pipelines, and infrastructure, enabling our engineering team to deliver features rapidly and confidently. In this role, you will:
Develop and maintain automated test frameworks for our web and AI-based applications , VSCode Extension & Python SDKs, with a focus on end-to-end testing using Playwright and other relevant tools. Your work will ensure that new features (including those powered by AI models) are thoroughly tested and meet the highest quality standards before release.
Own and enhance our CI/CD pipelines, automating build, test, and deployment processes. You’ll work with tools like GitHub Actions or Jenkins to streamline code integration and delivery, reducing friction and accelerating our release cycles.
Automate and manage infrastructure using containerization and Kubernetes. You will help script and maintain our cloud infrastructure (e.g. AWS or GCP) as code, ensuring deployments are scalable, repeatable, and easy to monitor. This includes managing Kubernetes clusters, deployment configs, and ensuring high availability of our services.
Collaborate with cross-functional teams (AI engineers, data engineers, product) to integrate automation at every stage of the development lifecycle. For example, you’ll help set up testing environments that mimic production data workflows, so that our AI models and data pipelines can be validated in CI before going live.
Continuously improve the automation strategy by researching and implementing new tools, best practices, and frameworks. You’ll be the advocate for quality and efficiency, guiding the team in writing testable code, improving coverage, and adopting DevOps best practices.
This role requires a proactive problem-solver who is not afraid to script, code, and architect solutions that optimize our engineering workflow. You will have the freedom to introduce modern automation tools and influence how we build and ship a world-class AI product.
Minimum Qualifications:
4+ years of experience in software test automation or SDET roles, with a strong focus on building automated testing frameworks and CI/CD pipelines.
Proven track record of developing end-to-end automated tests for complex web applications or platforms. Experience with modern testing libraries and frameworks (such as Playwright, Selenium, or similar) is required.
Hands-on experience in setting up and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) – you should be able to create pipelines that compile code, run tests (unit, integration, E2E), and deploy artifacts with minimal manual intervention.
Solid understanding of containerization and orchestration: experience with Docker for container packaging and Kubernetes for deployment and scaling services in production.
Proficient in at least one programming/scripting language (e.g. Python, JavaScript/TypeScript, or Bash) for writing test scripts, automation tools, and pipeline scripts.
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation, or similar) for automating environment setup and management.
Strong problem-solving skills, attention to detail, and a passion for breaking things (in order to fix them!) – you excel at identifying edge cases and failure points in complex systems.
Preferred Qualifications:
Experience in automating workflows for AI or data-intensive applications. For example, knowledge of how to test machine learning models, data pipelines, or AI APIs as part of an automation suite is a big plus.
Exposure to AI/ML frameworks and libraries (even if not as a developer, as a user of the outputs) – e.g., understanding how an LLM-powered feature might be tested for quality or how to automate validation of data processing tasks.
Prior experience working in a startup or fast-paced product team environment, especially on enterprise SaaS or data platform products.
Contributions to open-source automation tools or frameworks, or active participation in QA/DevOps communities, demonstrating your passion for the craft.
Must-have:
Playwright (or similar end-to-end testing frameworks) for UI and functional test automation.
CI/CD tools: such as Jenkins, GitHub Actions, GitLab CI, or CircleCI for building automated pipelines.
Version Control: Git (experience with branching strategies, pull request workflows, and merge processes in a team setting).
Containers: Docker (writing Dockerfiles, managing container images) and Kubernetes (deploying services, configuring pods, services, ingress, etc.).
Cloud Services: Familiarity with cloud platforms (AWS/GCP/Azure) and deploying/monitoring applications in cloud environments.
Scripting & Programming: Strong scripting skills in Python and/or JavaScript/TypeScript. Ability to write clean, maintainable code for automation tasks and test scripts.
Monitoring & Logging: Basic knowledge of tools like Prometheus, Grafana, ELK stack, or similar for observing test environments and catching issues. (You’ll work closely with SREs, but it’s helpful to understand how to verify that deployments are healthy.)
Nice-to-have:
Infrastructure as Code: Experience with Terraform, Ansible, or CloudFormation to automate provisioning of infrastructure.
Performance Testing: Familiarity with performance or load testing tools (JMeter, Locust, k6, etc.) to ensure our services can scale under load.
Security/Compliance Automation: Any experience automating security tests (SAST/DAST) or compliance checks in the pipeline.
AI/ML Tools: Exposure to testing data pipelines, ML model validation tools, or frameworks like MLflow, which could be useful as we build out our AI features (not mandatory, but will help in the role).
Build Cutting-Edge AI Products: As an Automation Engineer, you’ll directly contribute to the quality of industry-leading AI solutions that are transforming how enterprise data teams work. You will work on products that incorporate the latest in AI (LLMs, intelligent agents) and help bring them to market with confidence in their stability. Your work ensures that our AI teammates for data professionals are robust and reliable, truly empowering thousands of users.
High Impact & Ownership: In our fast-paced startup environment, your contributions won’t be siloed. You will own significant parts of our engineering process and see the immediate impact of your improvements on the team’s productivity and on customer satisfaction. Each optimization in the CI/CD or testing process can accelerate the delivery of features used by global enterprises.
Experienced Team & Mentorship: Work side-by-side with a talented team that has deep expertise in AI and data. Our founders and senior engineers have built and scaled successful companies before. Joining Altimate means mentorship from experts and a chance to collaborate with passionate AI engineers, giving you exposure to advanced AI systems and best software practices.
Innovation and Growth: You’ll be encouraged to experiment with new automation tools and techniques. Whether it’s introducing a new testing framework or improving our deployment strategy, we support innovation that drives efficiency. This role is a great launchpad for career growth in the intersection of DevOps, QA, and AI – you’ll gain unique experience automating the delivery of AI-driven products, which is a highly sought-after skill set.
Mission-Driven Culture: Beyond the tech, join a company driven by mission and customer impact. We regularly hear from data teams who love our product for saving them time and effort. Knowing that your work behind the scenes (ensuring everything works like a charm) directly helps other engineers and analysts focus on high-value tasks is incredibly rewarding.
Competitive salary and equity
Access to cutting-edge AI infrastructure and resources
Regular team off-sites and opportunities to attend and present at leading industry conferences
Learning budget for AI courses, books, and computing resources
Dynamic and intellectually stimulating work environment with a team of talented engineers
Opportunities to shape the direction of the company and leave a lasting impact
If you’re excited about building reliable automation for cutting-edge AI products and want to work with a world-class team, we want to hear from you! Apply now to join us on this journey to redefine how data teams work with AI.