India

Job Title: Kubernetes Controller Developer (Golang)

Reports To: CEO, Director of Engineering

Role Overview:
Join our Core Kubernetes Operator Development team, where we’re pushing the boundaries of Kubernetes innovation. As a Kubernetes Controller Developer (Golang), you will play a crucial role in building “01”, our cloud-agnostic Platform as a Service (PaaS), driven by full-fledged Kubernetes operators and agents.

This position requires a strong background in Kubernetes internals and Golang programming, particularly in developing and managing Kubernetes controllers. If you’re a proactive problem solver with experience in building cloud-native infrastructure, this is your opportunity to contribute to a transformative platform.

We highly encourage candidates with a solid programming foundation and a hunger to explore the cloud-native world to apply. Comprehensive onboarding and professional development support will be provided.

Key Responsibilities (Not limited to):

Collaborate in Agile teams, taking ownership of development stories with minimal supervision.
Partner with internal teams and clients to accurately capture technical requirements.
Design, build, deploy, and maintain Kubernetes controllers and operators using Golang.
Identify gaps in current systems and propose or implement technical improvements.
Apply best practices across the full software development lifecycle.
Create and execute unit, regression, and E2E tests for operator reliability.
Work in Linux environments and troubleshoot issues in containerized applications.
Contribute to CI/CD workflows for seamless testing and deployment.

Essential Skillset:

Kubernetes Controller Development: Proven expertise in building and maintaining controllers and operators.
Proficiency in Golang: 2+ years writing idiomatic, well-tested Go code for Kubernetes projects.
Deep understanding of Kubernetes APIs and libraries including client-go, CRDs, and API extensions.
Hands-on experience with:
- Kubebuilder – For scaffolding controllers and CRDs
- Operator SDK – For building Operators with OLM support
- controller-runtime – For abstracting Kubernetes client logic
Strong testing skills, including unit, load, and E2E tests for operators.
Familiarity with containerization (Docker) and orchestration (Kubernetes).
Comfortable working in Linux with debugging tools and CLI.
2+ years experience working with CI/CD tools like Jenkins, GitHub Actions, Tekton, or similar.

Preferred Skills (Nice to Have):

CKA or CKAD certifications.
Hands-on experience managing production-grade Kubernetes clusters.
Knowledge of Infrastructure as Code tools (e.g., Terraform).
Exposure to major cloud providers: AWS, GCP, or Azure.
Scripting experience in Shell or Python.

What We Offer:

A chance to build infrastructure automation tools that power real-world workloads.
Opportunity to work on bleeding-edge cloud-native technologies with a global impact.
Collaborative and innovation-driven culture, with strong engineering mentorship.
Remote-friendly setup and flexible work culture.
Career development in one of the most in-demand areas of DevOps.

Job Title: Entry-Level Kubernetes Operator Developer

Reports To: CEO, Director of Engineering

Role Overview:

Are you a passionate developer ready to dive into the world of cloud-native technologies? Join our Core Kubernetes Operator Development Team and help shape the future of infrastructure automation with “01”, our cloud-agnostic Platform as a Service (PaaS) powered by advanced Kubernetes Operators and Agents.

We’re looking for early-career talent with a solid foundation in programming (especially Golang or a willingness to learn it) and a strong interest in Kubernetes. You don’t need to be an expert—we’ll provide structured training and hands-on mentorship to help you thrive.

Key Responsibilities (Not limited to):

Collaborate with the Agile team on real development stories and sprint cycles.
Learn to design, develop, and test Kubernetes Operators and controllers using Golang.
Gain hands-on experience with Custom Resource Definitions (CRDs) and Kubernetes APIs.
Participate in code reviews and pair programming sessions with senior engineers.
Troubleshoot and resolve issues in containerized environments and CI/CD pipelines.
Contribute to documentation, unit testing, and cloud-native development best practices.

Qualifications:

Good understanding of Golang or strong programming skills in any language with willingness to learn Golang.
Basic familiarity with or strong interest in Kubernetes, containers, and cloud-native tools.
Comfortable working in Linux environments and using the terminal.
Exposure to tools like Docker, Git, or CI/CD concepts (even via personal or academic projects).
Strong enthusiasm for learning, collaboration, and innovation.

Preferred Skills:

Personal or academic projects involving Kubernetes or cloud platforms like AWS, GCP, or Azure.
Familiarity with Operator SDK, Kubebuilder, or controller-runtime libraries.
Scripting knowledge (e.g., Bash or Python).
Contributions to open-source projects or GitHub repositories.

What We Offer:

Structured training in Kubernetes Operator development.
Mentorship from senior engineers and platform architects.
Career growth in cutting-edge DevOps and cloud-native environments.
A collaborative, remote-friendly culture that values learning and innovation.
A chance to work on real-world production systems with global impact.

We are looking for a highly skilled AI Agent Engineer to develop autonomous AI agents that interact, reason, and adapt to dynamic environments. You will design intelligent systems that utilize machine learning models, natural language processing (NLP), and reinforcement learning techniques to create agents capable of reasoning, learning, and decision-making in real-time.

Responsibilities:
Agent Design: Develop architectures for autonomous AI agents, utilizing techniques like reinforcement learning (RL), multi-agent systems (MAS), and decision-making frameworks (e.g., Markov Decision Processes).

NLP & Dialogue Systems: Build conversational AI agents using state-of-the-art NLP techniques (e.g., transformers, BERT, GPT-4, T5) and frameworks like spaCy or Rasa.

ML Model Integration: Train, fine-tune, and optimize deep learning models (using TensorFlow, PyTorch, or Keras) for various agent tasks like perception, planning, and execution.

Autonomous Learning: Implement systems for continuous learning and adaptation using reinforcement learning (RL), supervised, and unsupervised learning methods.

AI Ethics: Incorporate fairness, interpretability, and transparency into AI agents, ensuring compliance with ethical AI principles.

Agent Integration: Design and implement systems to integrate AI agents into existing products, ensuring performance and reliability under production loads.

Evaluation: Set up testing and evaluation pipelines for measuring agent performance (accuracy, task completion rate, response time) and improvement.

Technical Skills:
Machine Learning: Deep understanding of reinforcement learning, deep learning (CNNs, RNNs), NLP, and computer vision techniques.

NLP Frameworks: Expertise in transformer models (e.g., GPT-3/4, BERT, T5), and frameworks such as spaCy, Hugging Face Transformers, AllenNLP, and OpenAI API.

Frameworks: Proficient in deep learning frameworks like TensorFlow, PyTorch, Keras, and OpenAI Gym for reinforcement learning.

Algorithms: Familiarity with search algorithms, decision trees, and Markov models for autonomous decision-making.

Programming: Advanced proficiency in Python, C++, and potentially Java for high-performance applications.

Cloud Services: Familiarity with cloud-based AI services (AWS SageMaker, Google AI Platform) for scalable model training and deployment.

Nice to Have:
Experience with multi-agent reinforcement learning (MARL).

Knowledge of graph neural networks or neural-symbolic systems.

Experience working with edge AI and deployment on IoT devices.

At BerryBytes, we work in a collaborative and innovative work environment, with brilliant and passionate people who strive and encourage others to do their best. BerryBytes welcomes creative and sometimes unconventional perspectives! With its upcoming 01cloud PaaS offerings, it is making its mark on the new Developer Experience (DX) and NoOps offerings that empower any user to run any workloads in large distributed clusters.

We are building a Cloud Agnostic PaaS product around Kubernetes that aims to reduce significant time to roll out the Cloud Native application across the managed or on premise.

We are looking for a Software Engineer for our cloud native PaaS product that leverages innovative technologies and cloud services. The ideal candidate will have strong experience developing rich and intuitive consumer-facing products or highly integrated and concurrent enterprise applications.

Be part of the exciting product development journey with cutting edge technologies that will soon dominate the industry.

Responsibilities:

We’re looking for an experienced Software Engineer with GoLang to join our team. Your core responsibilities will include:

Responsible for the development and maintenance of key product features
Work with other team members to investigate design approaches, prototype new technology, and evaluate technical feasibility
Will work in a fast-paced environment to deliver high-quality software against aggressive schedules
Prepare technical requirements and software design specifications
Install and support systems used internally by development
Responsible for helping to document the software

Requirements:

Strong in Go Concurrency.
Knowledge Operating system internals.
Knowledge of TCP/IP networking and common web technologies
Ability to work independently while managing multiple task assignments
Strong initiative, written, and verbal communication skills

Experience with any of the following technologies a plus:

Solid experience in Multi-threaded and Concurrent programming
TCP/IP socket programming
Familiarity with GoLang leading OpenSource libraries
Static and dynamic analysis tools
Working knowledge of encryption tools and technologies
NoSQL and Relational Databases experience
ElastiSearch and RabbitMQ experience a plus

Great to have:

Experience with Docker and Kubernetes is a plus
Experience in CI/CD and DevOps processes
Willing to learn Rust

Qualification:

Master degree in Computer Science, Engineering, a related field or equivalent work experience

More details:

This is a full-time position, with great career prospects as we grow.
Travel opportunity to the US and EU region.

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