Corva.AI

We are seeking a motivated DevOps Engineer to join our infrastructure team. This position is ideal for someone with foundational technical knowledge who is eager to grow their skills in cloud technologies, automation, and DevOps practices with a particular emphasis on improving observability. You will work alongside senior team members to maintain infrastructure, implement automation, and enhance our monitoring capabilities.

Key Responsibilities

• Assist in maintaining and troubleshooting cloud infrastructure
• Help implement and maintain CI/CD pipelines
• Contribute to infrastructure as code development using Terraform and GitOps approaches
• Learn and apply container orchestration concepts with Kubernetes
• Focus on improving system observability through metrics, logging, and tracing
• Implement and enhance monitoring solutions using Prometheus stack and OpenTelemetry
• Support deployment and release processes
• Document procedures and technical solutions
• Collaborate with development teams to improve application observability
• Assist with scripting and automation tasks using Python or Bash
   

Requirements

• Basic understanding of Linux operating systems and command line
• Familiarity with at least one cloud provider (AWS, GCP, or Azure)
• Experience with containerization technologies (Docker, Kubernetes)
• Knowledge of monitoring and observability concepts
• Some experience with scripting languages (Python, Bash)
• Understanding of version control systems (Git)
• Eagerness to learn and problem-solve
• Good communication skills and ability to work in a team environment
• Basic understanding of networking concepts
   

Preferred Qualifications

• Experience with CI/CD tools (GitHub Actions, GitLab CI)
• Familiarity with Kubernetes concepts
• Knowledge of monitoring tools (Prometheus stack)
• Experience with log aggregation systems
• Understanding of basic security practices
• Basic knowledge of OpenTelemetry framework
• Relevant certifications (AWS, Azure, GCP, Kubernetes)
• Interest in contributing to incident management processes
   

Growth Opportunities

• Mentorship from experienced DevOps engineers
• Hands-on experience with cutting-edge cloud and observability technologies
• Clear path for advancement to mid and senior-level positions
• Opportunities to obtain industry certifications
• Balanced focus on infrastructure automation and observability practices
   

Team Culture

• Our infrastructure team handles more layers than a well-designed Kubernetes cluster
• We're like Git - always ready to commit to good ideas and branch out when needed
• "Move fast and fix things" is our motto (we're not breaking production on Fridays)
  
  What We Offer:
• Innovative Product Company: Be part of a company with a long-term vision that values sustainable growth.
• High-Performing Team: Join a talented team that supports your professional growth and values your expertise.
• Impactful Work: Take ownership of projects that directly affect our users, product, and business strategy.
• Comprehensive Benefits: Enjoy medical insurance, sport compensation, and other perks that support your well-being.
• Flexible Work Arrangement: B2B contract with a US-based company, allowing for a remote-first setup that fits your lifestyle.

We are seeking an experienced General QA Engineer with Playwright or similar automation tools skills to join our platform engineering team. In this role, you will design, build, and maintain high-quality software while also contributing to our infrastructure and deployment processes.
 

Responsibilities:

• Contribute to current manual and automation test efforts.
• Develop and maintain automated test scripts using Playwright.
• Collaborate with the QA and development teams to integrate automated testing into both new and existing projects.
• Troubleshoot automated test failures, working closely with developers for resolution.
• Implement and disseminate Quality Assurance best practices within the team.
• Analyzing and processing product requirements, as well as managing the intake, triage, and verification of defects.
• Coordinate and collaborate with teams across various time zones.

Required Skills:

• Bachelor’s Degree or equivalent in engineering or computer science.
• Familiarity with Playwright or similar automation tools (e.g., Selenium, Cypress).
• Knowledge of programming/scripting languages such as JavaScript or TypeScript.
• Exposure to version control (e.g., Git) and an interest in continuous integration tools.
• Proficient in Postman and system integrations via APIs
• Experience creating test documentation (test plans, test cases, release notes) and working with requirements.
• Basic knowledge of agile software development methodologies.
• An analytical mindset for efficient diagnosis and resolution of script failures.
• Eagerness to learn and grow in the field of software quality assurance.
• Excellent English communication skills, both written and verbal.
• Proficient in effectively collaborating with geographically distributed teams.
  
  We Offer
• Working on a great tech stack (app platform) with truly big data (processing 1TB every day)
• Product company with a long-term vision
• Project exposure and ownership that impacts our users, product, and business
• Medical insurance
• Sport benefit

We are looking for a Junior QA Automation to join our product team.
You will work closely with experienced automation engineers in an established and structured automation process. This is a growth-oriented role where you will contribute to automated testing while developing your technical skills under mentorship.

This is a great opportunity to grow your technical skills in JavaScript/TypeScript, test automation, and CI/CD within an established and supportive team. We value a strong ownership mindset and responsibility over deep tool knowledge.

Technology Stack

TypeScript, Playwright, WebdriverIO, BackstopJS, Mocha / Chai, GitHub Actions, AI-assisted testing approaches
 

What You Will Do

• Create and maintain automated tests (UI, API, Visual Regression)
• Work within an already established automation framework and processes
• Analyze CI results and investigate test failures
• Collaborate with developers and manual QA engineers to improve test coverage
• Participate in requirement analysis and clarification
• Follow coding and testing best practices defined by the team
• Continuously improve your automation and product understanding
   

What We Value

• Responsibility and ownership of assigned tasks
• Attention to detail
• Willingness to learn and accept feedback
• Structured and logical thinking
• Clear communication within a distributed team
• Curiosity about modern testing approaches, including AI-assisted testing
   

Required Skills

• 6+ months – 1 year of experience in test automation
• Good understanding of JavaScript fundamentals
• Understanding of how web applications work (client-server model, REST APIs)
• Familiarity with Git and basic CI concepts
• English communication skills (written and verbal)
   

Nice to Have

• Experience with Playwright, WebdriverIO, or similar tools
• TypeScript knowledge
• API testing experience
• Understanding of OOP basics
• Experience with visual regression testing
   

Why Join Us

• Work in a product company with long-term ownership
• Learn from experienced automation engineers
• Develop strong automation fundamentals
• Gain hands-on experience with modern AI-driven testing approaches
• Grow within a structured and supportive team environment
  
  We Offer
• Working on a great tech stack (app platform) with truly big data (processing 1TB every day)
• Product company with a long-term vision
• Project exposure and ownership that impacts our users, product, and business
• Medical insurance
• Sport benefit

We are seeking a Senior DevOps Engineer with strong development experience in Go and Python to join our infrastructure team. In this role, you will lead and implement DevOps practices while leveraging your programming expertise to build automation tools, improve infrastructure, and enhance system reliability.

Key Responsibilities

• Design, implement, and manage our cloud infrastructure across multiple environments (all major clouds and self-hosted)
• Develop and maintain infrastructure as code using modern tooling and GitOps approaches
• Build kubernetes operators and custom solutions using Go and Python
• Lead CI/CD implementation and continuous improvement efforts
• Monitor system health, performance, and security using modern stacks and OpenTelemetry
• Design and implement scalable and resilient architecture solutions
• Collaborate with development teams to improve deployment workflows
• Troubleshoot and resolve complex infrastructure and application issues
• Establish best practices for infrastructure management and security
• Mentor junior team members on DevOps practices and technologies
   

Requirements

• 6+ years of experience in IT operations, systems engineering, or a similar role
• 3+ years of professional software development experience in Go and/or Python
• Strong experience with GitOps and infrastructure as code tools (ArgoCD, Flux, Terraform)
• Expertise in containerization technologies (Docker, Kubernetes)
• Deep knowledge of cloud platforms (AWS, GCP, or Azure)
• Experience designing and maintaining CI/CD pipelines (GitHub Actions or GitLab CI/Concourse)
• Proficiency with monitoring, logging, and observability tools and practices (Prometheus Stack and OTel)
• Strong Linux/Unix system administration skills
• Knowledge of networking concepts and security best practices
• Excellent problem-solving abilities and communication skills
   

Preferred Qualifications

• Experience with microservices architecture
• You can explain Kubernetes to your non-technical friends without making their eyes glaze over
• Knowledge of database administration (PostgreSQL, MongoDB, Redis)
• Experience with message brokers and event streaming platforms (Kafka, RabbitMQ)
• Familiarity with service mesh concepts (Envoy, Istio, Linkerd)
• Experience with GitOps workflows
• Contributions to open-source projects
• Your infrastructure diagrams are works of art (or at least comprehensible)
• Experience leading technical projects and mentoring other engineers
   

Team Culture

• Our infrastructure team handles more layers than a well-designed Kubernetes cluster
• We're like Git - always ready to commit to good ideas and branch out when needed
• "Move fast and fix things" is our motto (we're not breaking production on Fridays)

What we offer

• Innovative Product Company: Be part of a company with a long-term vision that values sustainable growth.
• High-Performing Team: Join a talented team that supports your professional growth and values your expertise.
• Career Growth: Opportunity to step up as a Backend Lead, leading projects and mentoring other team members.
• Impactful Work: Take ownership of projects that directly affect our users, product, and business strategy.
• Comprehensive Benefits: Enjoy medical insurance, sport compensation, and other perks that support your well-being.
• Flexible Work Arrangement: B2B contract with a US-based company, allowing for a remote-first setup that fits your lifestyle.

We are seeking an experienced Software Engineer with strong Python development skills and DevOps expertise to join our platform engineering team. In this role, you will design, build, and maintain high-quality software while also contributing to our infrastructure and deployment processes.

Key Responsibilities

• Design, develop, and maintain Python-based applications and services
• Implement DevOps practices to improve deployment processes and system reliability
• Build and maintain CI/CD pipelines for automated testing and deployment
• Configure and manage cloud infrastructure resources
• Monitor system performance and optimize application efficiency
• Collaborate with cross-functional teams to define requirements and deliver solutions
• Mentor junior engineers and contribute to technical documentation
• Participate in code reviews and ensure code quality standards
   

Requirements

• 4+ years of professional software development experience
• Strong Python programming skills with demonstrated proficiency
• Experience with DevOps practices and tools (CI/CD, infrastructure as code, gitops)
• Knowledge of containerization technologies (Docker, Kubernetes)
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Experience with monitoring/logging/tracing solutions
• Experience with message queuing systems (Kafka, RabbitMQ, BullMQ)
• Proficiency with databases including PostgreSQL, MongoDB, and Redis
• Experience with Python's asyncio for asynchronous programming
• Excellent problem-solving and debugging skills
• Strong communication and collaboration abilities
   

Preferred Qualifications

• Experience with Python web frameworks (Flask, FastAPI)
• Understanding of microservice architecture
• Knowledge of security best practices
• Contributions to open-source projects
   

What we offer

• Innovative Product Company: Be part of a company with a long-term vision that values sustainable growth.
• High-Performing Team: Join a talented team that supports your professional growth and values your expertise.
• Career Growth: Opportunity to step up as a Backend Lead, leading projects and mentoring other team members.
• Impactful Work: Take ownership of projects that directly affect our users, product, and business strategy.
• Comprehensive Benefits: Enjoy medical insurance, sport compensation, and other perks that support your well-being.
• Flexible Work Arrangement: B2B contract with a US-based company, allowing for a remote-first setup that fits your lifestyle.

We are looking for a Senior Backend Developer to join our Data Ops team. You will design, build, and maintain the backend systems that power our data pipelines, automation workflows, and internal tooling. This role blends deep Python expertise with cloud-native architecture, a pragmatic approach to automation, and a growing focus on integrating AI/ML capabilities into our platform. You will work closely with data engineers, front-end developers, and product stakeholders to ship reliable, scalable software.

Technology Stack

Python 3.11 — 3.14, AWS (Lambda, ECS, S3, Step Functions, CloudWatch),
Kubernetes, MongoDB, Redis, Apache Kafka, Pytest, GitHub Actions / Jenkins, Docker, SciPy, NumPy, pandas, scikit-learn, LLM APIs (OpenAI / Anthropic)


Responsibilities & Duties

— Architect and deliver efficient, well-documented, and highly readable backend services that set the quality bar for the team.
— Design and maintain automation pipelines (CI/CD, scheduled jobs, event-driven workflows) that reduce manual effort and improve reliability.
— Build lightweight internal dashboards, admin panels, or API-driven front-end components using frameworks such as React, Vue, or Streamlit to surface data and system health to stakeholders.
— Integrate AI/ML models and LLM-based features into backend services, including prompt engineering, embeddings pipelines, and retrieval-augmented generation (RAG) patterns.
— Dive into new technologies and product disciplines, driving innovation and staying current with the evolving AI and data engineering landscape.
— Define development plans based on project requirements and ensure timely delivery while remaining flexible to changing priorities.
— Oversee the stability of your services, monitoring system health, uptime, and performance post-release through observability tooling (CloudWatch, Datadog, or similar).
— Lead code reviews with peers, fostering a culture of continuous improvement, knowledge sharing, and engineering best practices.


Qualifications & Skills

Required
— 5+ years of hands-on Python development on large-scale, production systems.
— Strong experience with NoSQL databases (MongoDB preferred) and ability to design performant data models.
— Practical knowledge of AWS services and cloud-native design patterns.
— Experience building or maintaining CI/CD pipelines, automated testing suites, and infrastructure-as-code.
— Comfortable presenting ideas and technical details clearly to cross-functional teams.

Nice to Have
— Familiarity with front-end frameworks (React, Vue, or Streamlit) for building internal tools or dashboards.
— Hands-on experience with AI/ML workflows: training pipelines, model serving, or integrating LLM APIs.
— Knowledge of Kubernetes for container orchestration and scaling.
— Experience with event-driven architectures using Kafka or similar streaming platforms.
— Contributions to open-source projects or a visible engineering blog / portfolio.


What We Offer

— Working on great tech stack (app platform) with truly big data (processing 1TB every day)
— Product company with a long-term vision
— Project exposure and ownership that impacts our users, product, and business
— Medical insurance
— Sport benefit