Marketing Manager, Business Development Manager

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level

This role is ideal for engineers with 3+ years of full-stack software development experience, with a strong developer mindset and hands-on experience building and maintaining production systems.

An experienced individual contributor who thrives in ownership-driven environments, can operate effectively with minimal oversight, and is comfortable working in the absence of a traditional Product Manager while demonstrating a strong product mindset.

What You’ll Do as a Software Craftsperson

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, Test Pyramid, and a strong focus on overall software quality
• Operate in an AI-powered development environment, leveraging AI as a collaborator to explore solutions, accelerate development, and improve outcomes while maintaining strong engineering judgment
• Take end-to-end ownership of tasks, from understanding requirements to execution and delivery, with minimal supervision
• Work extensively on modern TypeScript-based systems as a core part of the development stack
• Develop and maintain backend systems using Node.js, ensuring scalability, performance, and reliability
• Set up and monitor systems to ensure system reliability and observability.
• Make thoughtful technical decisions that balance simplicity, scalability, and maintainability
• Work in a highly autonomous environment, defining problems, interacting with customers when needed, and driving solutions independently
• Contribute to improving engineering practices, developer experience, and system quality across the team.

Requirements

What You’ll Bring

• 3+ years of hands-on full-stack software development experience with a strong developer mindset.
• Expert-level proficiency in TypeScript.
• Strong experience or familiarity with Node.js (Intermediate level or above preferred)
• Solid understanding of Software Craftsmanship principles, including TDD, Test Pyramid, and quality-first development.
• SaaS experience
• Multi-tenant architecture experience
• Experience building scalable products
• Familiarity with monitoring and observability tools 
• Exposure to or interest in AI Engineering (beginner level acceptable) and the ability to work effectively in AI-assisted environments
• Strong critical thinking and problem-solving skills, with the ability to independently define and execute tasks
• Comfort working in a high-ownership, low-structure environment without a dedicated Product Manager.

What We Value

• Extreme ownership – you take responsibility for outcomes and drive work end-to-end
• Ability to execute independently and define problems, not just solve assigned tasks
• A strong product mindset – willingness to talk to customers, understand problems deeply, and define direction when needed
• Deep care about developer experience and engineering quality
• High standards, autonomy, and a bias toward action

Benefits

Life at Incubyte ​

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

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Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance 

We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.

You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.

Key Responsibilities:

1. Cloud Infrastructure Design & Management

· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.

· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

2. Kubernetes & Container Orchestration

· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

· Work with Helm charts, Istio, and service meshes for microservices deployments.

· Automate scaling, rolling updates, and zero-downtime deployments.

3. Serverless & Compute Services

· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

· Optimize containerized applications running on Cloud Run for cost efficiency and performance.

4. CI/CD & DevOps Automation

· Design, implement, and manage CI/CD pipelines using Azure DevOps.

· Automate infrastructure deployment using Terraform, Bash and Power shell scripting

· Integrate security and compliance checks into the DevOps workflow (DevSecOps).

Required Skills & Qualifications:

✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.

✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).

✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.

✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.

✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.

✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.

✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.

• Experience: Minimum 3 years
• Key Skills:
• Experience with Check Point policy creation, updating, and management.
• Ability to analyze logs and troubleshoot issues.
• Expertise in health checks and system optimization.
• Responsibilities:
• Define and push Check Point firewall policies.
• Perform regular health checks and log reviews.
• Ensure compliance with security best practices.
• Location: Bangalore
• Shift: General

We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.

Tools familiarity:  SQL, Python, Mix panel, Metabase, Google Analytics,  Clever Tap, App Analytics

Responsibilities

• Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
• Metrics alignment across teams to make them actionable and promote accountability
• Data based frameworks for assessing and strengthening Product Market Fit
• Identify viable growth strategies through data and experimentation
• Experimentation for product optimisation and understanding user behaviour
• Structured approach towards deriving user insights, answer questions using data
• This person needs to closely work with Technical and Business teams to get this implemented.

Skills

• 4 to 6 years at a relevant role in data analytics in a Product Oriented company
• Highly organised, technically sound & good at communication
• Ability to handle & build for cross functional data requirements / interactions with teams
• Great with Python, SQL
• Can build, mentor a team
• Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE

Eligibility

BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges

Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.

We are more interested in what you CAN DO than your location, education, or experience levels.

Send us your code samples / GitHub profile / published articles if applicable.

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini

We are looking for a React Native developer interested in building mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities

• Leverage native APIs for deep integrations with both iOS and Android platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing iOS and Android apps to React Native.

Job brief

We are looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits. This Android app developer will work with our team of talented engineers to design and build the next generation of our mobile applications. Android programming works closely with other app development and technical teams.

Responsibility

Design and build advanced applications for the Android platform

Collaborate with cross-functional teams to define, design, and ship new features

Work with outside data sources and APIs

Unit-test code for robustness, including edge cases, usability, and general reliability

Work on bug fixing and improving application performance

Continuously discover, evaluate, and implement new technologies to maximize development efficiency

• Proven software development experience and Android skills development
•  Strong experience in Android app development 
• Experience with Android SDK and also android studio.
• Experience working with remote data via REST and JSON
• Strong command working on kotlin and nodejs.