Full-Time

Developer Productivity Engineer

Confirmed live in the last 24 hours

Kognitos

Kognitos

51-200 employees

Automation platform for structured and unstructured data

Industrial & Manufacturing
Enterprise Software
AI & Machine Learning

Junior, Mid

San Jose, CA, USA

This is a hybrid role requiring in-office work.

Category
DevOps & Infrastructure
Site Reliability Engineering
DevOps Engineering
Required Skills
Bash
Kubernetes
Microsoft Azure
Python
Docker
CloudFormation
AWS
Terraform
Ansible
Development Operations (DevOps)
Google Cloud Platform
Requirements
  • Proven experience in Developer Productivity Engineering or SRE roles.
  • Proficiency with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
  • Familiarity with Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
  • Strong scripting and automation skills (Python, Bash, or similar).
  • Strong problem-solving abilities and attention to detail.
  • Ability to work collaboratively in cross-functional teams, communicating effectively with technical and non-technical stakeholders.
  • Adaptability and willingness to learn new tools and technologies.
Responsibilities
  • Design, build, and maintain internal tools and automation frameworks that enhance developer efficiency and reduce toil.
  • Identify bottlenecks in the development workflow and implement solutions to streamline processes.
  • Work closely with engineering teams to understand their needs and provide effective tooling, documentation, and process improvements.
  • Implement SRE best practices, including monitoring, alerting, and capacity planning, to ensure a stable, high-performance infrastructure.
  • Automate deployment pipelines, conduct system health checks, and reduce manual intervention for incident management.
  • Collaborate with cross-functional teams to develop and enforce SLAs, SLOs, and SLIs, ensuring a resilient infrastructure.
  • Advocate for testing practices that improve code quality and maintainability, including CI/CD pipelines, code reviews, and static code analysis.
  • Optimize resource utilization and enhance scalability through proactive performance tuning.
  • Serve as a bridge between development and operations teams, promoting a DevOps culture.
  • Provide mentorship on development best practices and DevOps tools to support our engineering culture of continuous improvement.

Kognitos provides an automation platform designed for businesses to manage both structured and unstructured data, as well as complex workflows. The platform is particularly beneficial for companies with extensive document processes and those that frequently deal with exceptions in their operations. It allows users to automate repetitive tasks, saving time and reducing manual effort, and is accessible to individuals with mid-level technical skills due to its user-friendly interface and no-coding requirement. Kognitos differentiates itself from competitors by utilizing Generative AI and a Human Language Interpreter, enabling users to teach the platform how to handle exceptions using natural language, which simplifies the automation development process. The goal of Kognitos is to help businesses streamline their operations and reduce costs through effective automation.

Company Stage

Series A

Total Funding

$27.6M

Headquarters

San Jose, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

31%

1 year growth

102%

2 year growth

368%
Simplify Jobs

Simplify's Take

What believers are saying

  • Kognitos' partnership with Wipro and investment from Wipro Ventures highlight its potential for large-scale deployment and growth in automation solutions.
  • Winning the ISG Startup Challenge underscores Kognitos' innovative approach and market appeal in the AI and automation sectors.
  • The recent $20M Series A funding led by Khosla Ventures provides Kognitos with the financial backing to expand its AI capabilities and market reach.

What critics are saying

  • The competitive landscape in AI-driven automation is intense, with numerous startups and established players vying for market share.
  • Reliance on Generative AI and natural language processing may face challenges in accurately handling complex exceptions and nuances in business processes.

What makes Kognitos unique

  • Kognitos leverages Generative AI and a Human Language Interpreter to simplify automation, setting it apart from traditional automation tools that require coding expertise.
  • The platform's ability to handle both structured and unstructured data makes it versatile for complex workflows, unlike many competitors that focus on one data type.
  • Kognitos' no-coding, user-friendly interface democratizes automation, making it accessible to users with mid-level technical skills, unlike platforms that require specialized knowledge.

Help us improve and share your feedback! Did you find this helpful?