Python Full stack Developer

We're looking for a Full Stack Software Engineer to help build Gen-AI applications for energy industry. If you are interested in leverage cutting-edge techniques to build APIs and complex data pipelines with end-to-end ownership of the feature you build alongside a team of some of the best engineers in the energy industry, then you will love working at Enverus. We are looking for a developer with a natural curiosity, and preferably someone who has full stack experience and a willingness to pick up additional skills on the job!

The Team:

You will join our software engineering team which focus on the forefront of innovation in the energy industry. Here, you'll be part of a highly collaborative and agile group dedicated to prototyping and leveraging cutting-edge technologies to develop new products and solutions. Come join the team and help pioneer Enverus’ mission to drive the future of energy.

What you will do: 

• Full Stack Development: Design and implement user-facing features using modern frontend frameworks (React, TypeScript) integrated with Python-based backend services 

• Scalable APIs: Develop RESTful APIs and microservices that power GenAI applications across the platform 

• Data Pipelines: Build and maintain data processing workflows using AWS services (S3, Lambda, DynamoDB, OpenSearch) 

• End-to-End Features: Own features from concept to production—frontend, backend, database, and deployment 

• GenAI Integration: Implement and optimize AI/ML model integrations, including LLMs and agentic workflows

• Modern Engineering: Work in an agile environment with CI/CD, automated testing, code reviews, and continuous improvement

What You Bring

Required

• Education: Bachelor's degree in Computer Science or related field

• Experience: 4+ years as a software developer with full stack exposure

• Backend Expertise: Strong Python, TypeScript skills with experience building APIs and backend services

• Frontend Proficiency: Experience with modern JavaScript frameworks (React, Vue, or Angular) and TypeScript

• Cloud Architecture: Hands-on experience with AWS services (S3, Lambda, DynamoDB, API Gateway)

• Database Knowledge: Proficiency with both relational (PostgreSQL/MySQL) and NoSQL databases

• DevOps Mindset: Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git)

• Problem Solving: Strong foundation in data structures, algorithms, and system design

• Communication: Excellent English communication skills; able to collaborate effectively across teams

Senior Software Engineer I (Full Stack) – OKRs

Team: OKRs, Product Development

About the Role

Join Planview's Product Development team as a Senior Software Engineer I on the OKRs team. You will design, build, and evolve web applications using Python on the backend and React on the frontend, with a primary focus on backend (roughly 70% backend / 30% frontend).

You will own features from concept through deployment, contribute to technical strategy, and help build secure, scalable, and maintainable products. Working closely with Product, Design, and QA, you will also raise engineering quality through thoughtful code reviews, strong development practices, and mentorship.

What You'll Do

• Design and develop modern web applications using Python and React.
• Build RESTful and/or GraphQL APIs using Django, Flask, or FastAPI.
• Lead technical design discussions, create architecture documents, and drive decisions on scalability, security, performance, and maintainability.
• Own features end to end, from discovery and technical design through development, testing, deployment, and ongoing support.
• Collaborate with Product, Design, QA, and other engineering teams to deliver high-quality customer outcomes.
• Conduct code reviews, promote engineering best practices, and mentor mid-level and junior engineers.
• Optimize performance across the stack, including frontend rendering, API latency, and database queries.
• Build and maintain CI/CD pipelines and contribute to cloud infrastructure, deployment automation, and observability.
• Identify and reduce technical debt, including leading modernization, refactoring, and migration initiatives.
• Participate in on-call rotations and incident response, and lead root-cause analysis for production issues.

What You'll Bring

Required

• 9–11 years of experience building and maintaining production-grade web applications, with strong expertise in Python (backend) and hands-on experience with React (frontend).
• Strong proficiency in Python and experience with Django, Flask, or FastAPI.
• Solid understanding of async programming, background job processing (e.g., Celery, RQ), API design, database design, and scalable backend architecture.
• Strong system design skills: ability to design scalable, reliable, and maintainable systems, make sound technical trade-offs, and translate business requirements into robust designs.
• Experience with React, including Hooks, Context, and state/data management using Redux, Zustand, or React Query.
• Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3.
• Strong database fundamentals, including schema design, indexing, and query optimization with PostgreSQL and/or MySQL; experience with NoSQL technologies such as MongoDB and Redis.
• Hands-on experience with CI/CD, Git workflows, and automated testing (Jest and React Testing Library on the frontend, PyTest on the backend).
• Practical knowledge of application security, including OAuth, JWT, and OWASP principles.
• Strong debugging, performance optimization, and code quality skills, with the ability to independently own technical problems.
• Clear communication skills, with the ability to influence design decisions and work effectively across teams.

Nice to Have

• Experience with AWS.
• Experience with Next.js, server-side rendering, or micro-frontend architectures.
• Exposure to message queues and event streaming (Kafka, RabbitMQ, Amazon SQS).
• Knowledge of GraphQL.
• Experience with Infrastructure as Code (Terraform, CloudFormation).
• Familiarity with monitoring and observability tools (Datadog, Grafana, Sentry, ELK).
• Knowledge of AI/ML integration or Python data pipelines.
• Experience in SaaS, fintech, or enterprise product environments.
• Open-source contributions, technical blog posts, or conference talks.

What Success Looks Like

• You deliver secure, reliable, and maintainable features that create measurable value for the OKRs product.
• You own both the frontend and backend of the OKRs product and make sound technical decisions, documenting the architecture and trade-offs behind them.
• You improve application performance, developer productivity, and operational reliability over time.
• You contribute to a culture of quality, collaboration, mentoring, and continuous improvement.
• You help the team respond effectively to production issues and prevent recurring problems through strong root-cause analysis.

Why Join Us

• Freedom to modernize and innovate
• A flexible, learning-oriented team culture
• A clear growth path toward Senior Software Engineer II

Join Planview

If you are a hands-on full-stack engineer who enjoys solving complex problems, shaping technical direction, and helping teams build better software, we encourage you to apply.

We are looking for a Senior Full Stack Engineer to join our lean, high-impact engineering team. This is a key founding-team role where you will work closely with the CTO and help build the engineering foundation of the company.

The ideal candidate is a backend-strong full-stack engineer with solid Python and React experience, a strong understanding of AI/LLMs, and the ability to independently take ownership of projects from idea to production.

What You'll Do:

• Build and scale applications across the backend and frontend
• Develop backend services and APIs using Python
• Build and maintain frontend applications using React
• Design and implement AI/LLM-powered applications and features
• Work with AI services and integrate them into real-world applications
• Contribute to system design and architecture
• Work with cloud infrastructure and services
• Take ownership of features and initiatives from ideation to production
• Identify problems and proactively drive solutions without requiring constant direction
• Work closely with the CTO and founding team to shape engineering practices and future systems
• Communicate technical concepts clearly to technical and non-technical stakeholders

What We're Looking For:

• 3–6 years of software engineering experience
• Strong experience with Python
• Good hands-on experience with React
• Strong backend development experience with full-stack exposure
• Practical understanding of AI, LLMs and AI services
• Experience building at least one meaningful AI project beyond basic API/chatbot integrations
• Experience taking an AI/ML application or feature into production is preferred
• Exposure to cloud platforms
• Good understanding of system design and software architecture
• Strong problem-solving and ownership mindset
• Excellent communication skills and ability to explain complex technical concepts in simple language
• Genuine hands-on experience with the technologies mentioned on the resume

What Makes This Role Different:

This is not a typical execution-focused engineering role. We are building a lean "A-team" of experienced engineers who will eventually help shape the team and take on senior/leadership responsibilities.

We're looking for someone who:

• Takes initiative rather than waiting for tasks
• Can work independently in an early-stage environment
• Is comfortable exploring and building with AI
• Can go deep into the work they've done and explain the technical decisions behind it
• Wants significant ownership and influence over the product and engineering direction

Location & Compensation

• Work Mode: Remote initially
• Future Location: Expected relocation to Bangalore in approximately 1 year
• Working Hours: Regular IST hours
• Travel: Potential opportunities to travel to Germany

Interview Process:

3 Rounds

1. Technical & Project Deep Dive – Conversational discussion around past projects, AI experience and technical depth
2. System Design & Technical Round – Deeper technical and architecture discussion
3. Founder Round – Communication, culture fit, ownership and initiative

Job Title : Senior Consultant – Full Stack Developer with AI

Experience : 5+ Years

Open Positions : 1

Location : Remote

Working Hours : 11:00 AM to 08:00 PM IST

Engagement : 6 to 8 Months Contract-to-Hire (C2H), with potential conversion to client payroll

Expected Joining : By the last week of August / 1st week of September

Role Overview :

Thoughtworks is looking for a Senior Consultant – Full Stack Developer with AI experience who can design and develop scalable full-stack applications while leveraging modern AI development tools and agentic AI capabilities.

The ideal candidate should have strong hands-on experience with Python, JavaScript / React.js, AWS Bedrock Agent Core, Docker, Kubernetes, and modern AI-assisted development frameworks and tools. Experience building MCP servers / tools, AI skills, or integrations using tools such as Cursor, Claude Code, Codex, or GitHub Copilot will be highly valuable.

The candidate should be comfortable working across application development, AI integration, cloud technologies, and containerized environments.

Mandatory Skills :

Python, React.js / JavaScript, AWS Bedrock Agent Core, Docker, Kubernetes, MCP / AI Skills, Cursor / Claude Code / Codex / GitHub Copilot, Full-Stack Development.

Key Responsibilities :

• Design, develop, and maintain scalable full-stack applications using modern development practices.
• Build backend services and APIs using Python and related frameworks.
• Develop responsive and scalable frontend applications using ReactJS or other JavaScript frameworks.
• Design and implement AI-powered solutions using AWS Bedrock Agent Core.
• Build and integrate AI agents, tools, skills, and workflows into enterprise applications.
• Develop and work with MCP (Model Context Protocol) servers, tools, or integrations.
• Leverage AI-assisted development platforms and coding tools such as Cursor, Claude Code, Codex, or GitHub Copilot.
• Containerize applications and services using Docker.
• Deploy, manage, and troubleshoot containerized workloads using Kubernetes.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
• Follow engineering best practices around code quality, testing, security, performance, and maintainability.
• Contribute to CI/CD and cloud deployment processes; DevOps experience will be an added advantage.
• Participate in technical discussions, architecture decisions, code reviews, and project delivery.

Mandatory Skills :

• 5+ years of relevant software development experience.
• Strong hands-on experience with Python.
• Strong experience with ReactJS or another modern JavaScript framework.
• Hands-on experience with AWS Bedrock Agent Core.
• Strong experience with Docker.
• Hands-on experience with Kubernetes.
• Experience building MCP servers / tools, AI skills, or similar AI integrations.
• Experience using AI-assisted coding/development tools such as :
• Cursor
• Claude Code
• Codex
• GitHub Copilot
• Strong understanding of full-stack application development.
• Good understanding of API development, application architecture, and cloud-based solutions.

Nice to Have :

• Experience with DevOps practices and CI/CD pipelines.
• Experience with AWS cloud services beyond Bedrock.
• Experience with infrastructure automation and deployment.
• Experience building production-grade GenAI / Agentic AI applications.
• Experience with LLM integrations, AI agents, tools, and function calling.

Project Expectations :

Candidates should be able to explain at least one recent project in detail, including :

• Problem Statement : What business / technical problem were you solving ?
• Architecture & Approach : How did you design the solution ?
• Key Contributions : What did you personally build or own ?
• AI / Agent Implementation : How did you use AWS Bedrock Agent Core, MCP, or AI development tools ?
• Technology Stack : Python, React.js / JavaScript, AWS, Docker, Kubernetes, etc.
• Challenges : What were the major technical challenges ?
• Outcomes & Metrics : What measurable impact did the solution deliver, such as performance improvement, cost reduction, automation, productivity improvement, or reduced development time ?

Interview Process :

1. Round 1 – GT Technical Interview : 60 minutes
2. Round 2 – Client Technical Interview : 60 minutes
3. Round 3 – Project Round : 60 minutes
4. Additional Client Round : May be conducted on a case-by-case basis

Key Hiring Priorities :

Highest priority : Candidates with genuine hands-on experience in AWS Bedrock Agent Core + Python + React / JavaScript + Docker + Kubernetes + MCP / AI skills and practical experience using modern AI coding/agent development tools.

Note : Candidates should demonstrate hands-on implementation experience rather than only theoretical knowledge or exposure to the above technologies.

Dear Candidate,

We have an immediate opening with Mphasis for Senior Full Stack Engineer (Python AI).

📍 Location: Hyderabad / Bangalore

💼 Experience: 5+ Years

🏢 Employment: Permanent

⚡ Immediate Joiners Preferred

Mandatory Skills:

• Python
• Java + Spring Boot
• React.js
• MongoDB

GenAI

We are looking for a skilled Full Stack Developer with 3+ years of experience in Python and React.js to join our engineering team. The ideal candidate should have strong experience building scalable web applications, developing backend APIs, and creating responsive frontend interfaces.

Key Responsibilities

• Develop and maintain full-stack web applications using Python and React.js.
• Build scalable and secure RESTful APIs using Django, Flask, or FastAPI.
• Develop responsive and user-friendly interfaces using React.js.
• Integrate frontend applications with backend APIs and third-party services.
• Work with databases such as PostgreSQL, MySQL, or MongoDB.
• Write clean, reusable, and maintainable code.
• Troubleshoot, debug, and optimize application performance.
• Participate in code reviews and follow software development best practices.
• Collaborate with UI/UX designers, QA engineers, DevOps, and other developers.
• Write unit and integration tests to ensure application reliability.
• Use Git/GitHub/GitLab for version control.
• Contribute to system design, documentation, deployment, and continuous improvement.

Required Skills

• 3+ years of professional experience in Full Stack Development
• Strong hands-on experience with Python
• Strong experience with React.js
• Experience with Django / Flask / FastAPI
• Good understanding of JavaScript, HTML5, and CSS3
• Strong knowledge of REST APIs
• Experience with PostgreSQL / MySQL / MongoDB
• Good understanding of Git and version control
• Strong knowledge of OOP, data structures, and software development concepts
• Experience with debugging and performance optimization
• Good problem-solving and communication skills

Good to Have

• Experience with TypeScript
• Knowledge of Next.js
• Experience with AWS / Azure / GCP
• Knowledge of Docker and Kubernetes
• Understanding of CI/CD pipelines
• Experience with microservices architecture
• Exposure to AI/ML or GenAI applications is a plus

Education

Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

Key Responsibilities

• Design, develop, and maintain scalable Python backend applications for enterprise use cases.
• Develop robust REST APIs and microservices using Python frameworks such as FastAPI, Flask, or Django.
• Design and implement scalable backend services with proper API integration, authentication, error handling, logging, and monitoring.
• Develop responsive and scalable React.js frontend applications.
• Implement React Hooks, state management, API integration, reusable components, and frontend development.
• Integrate React.js applications with Python backend APIs and microservices.
• Design and develop Generative AI and LLM-powered applications.
• Build and integrate Agentic AI / AI Agent solutions for enterprise use cases.
• Develop RAG (Retrieval-Augmented Generation) pipelines using enterprise data and knowledge sources.
• Work with embeddings, vector databases, and vector search for semantic retrieval and knowledge-based applications.
• Develop AI agent workflows using frameworks such as LangChain, LangGraph, Google ADK, or Semantic Kernel.
• Implement tool calling and function calling to enable AI agents to interact with APIs, databases, enterprise systems, and external services.
• Apply prompt engineering techniques to improve LLM response quality, accuracy, consistency, and reliability.
• Integrate LLMs and GenAI capabilities into full-stack applications.
• Develop multi-step AI workflows, agent orchestration, and intelligent automation solutions.
• Design APIs and services for seamless integration between AI components, backend services, databases, and frontend applications.
• Work with cloud platforms such as AWS, Azure, or GCP for application and AI solution deployment.
• Develop production-ready applications with focus on scalability, performance, security, reliability, and maintainability.
• Troubleshoot and optimize backend, frontend, API, RAG, LLM, and Agentic AI components.
• Collaborate with architects, software engineers, AI/ML engineers, product teams, and business stakeholders.
• Participate in code reviews, technical discussions, testing, deployment, and production support.

Mandatory Skills

• Python Backend Development
• REST API / Microservices
• FastAPI / Flask / Django
• React.js
• React Hooks / State Management
• Frontend Development & API Integration
• GenAI / LLM
• Agentic AI
• RAG
• Embeddings / Vector Search
• LangChain / LangGraph / Google ADK / Semantic Kernel
• Prompt Engineering
• Tool Calling / Function Calling
• Cloud – AWS / Azure / GCP

Preferred Candidate Profile

• 8.5+ years of overall software development experience.
• Strong hands-on experience in Python backend development and API/microservices development.
• Strong experience in React.js and full-stack application development.
• Practical experience building GenAI/LLM applications.
• Hands-on experience with Agentic AI and AI agent frameworks.
• Good understanding of RAG, embeddings, vector search, and LLM-based application architecture.
• Experience with LangChain, LangGraph, Google ADK, Semantic Kernel, or equivalent agent frameworks.
• Strong understanding of prompt engineering and tool/function calling.
• Experience integrating AI capabilities with APIs, databases, enterprise applications, and external systems.
• Hands-on experience with at least one major cloud platform such as AWS, Azure, or GCP.
• Strong problem-solving, debugging, communication, and collaboration skills.
• Candidates should be available for immediate / short-term joining.

Mandatory (Experience 1) – Must have 3+ years of experience in Full Stack Development with hands-on experience building and deploying production-grade web applications.

2

Mandatory (Skills 1) – Must have strong hands-on experience in Python or Node.js for backend development.

3

Mandatory (Skills 2) – Must have experience developing REST APIs using frameworks such as FastAPI, Flask, Express.js or similar.

4

Mandatory (Skills 3) – Must have hands-on experience with at least one modern frontend framework such as React.js or Angular, along with JavaScript/TypeScript.

5

Mandatory (Skills 4) – Must have hands-on experience with SQL databases such as PostgreSQL, MySQL or similar.

6

Mandatory (Skills 5) – Must have experience integrating frontend applications with backend APIs and third-party services.

7

Mandatory (Skills 6) – Must have good understanding of OOP, data structures, software engineering practices and clean/testable code.

8

Mandatory (Skills 7) – Must have experience with Git/GitHub and standard development practices including code reviews and version control.

9

Mandatory (Skills 8) – Must have experience with cloud platforms such as Azure or AWS and exposure to application deployment.

10

Mandatory (Skills 9) – Must have hands-on experience with Docker/containerized applications and understanding of scalable application development.

11

Preferred (Experience 1) – Experience with Kubernetes, CI/CD pipelines and cloud-native deployments.

12

Preferred (Experience 2) – Experience with Redis/caching, asynchronous programming, microservices or distributed systems.

13

Preferred (Experience 3) – Exposure to AI/ML, Generative AI, LLM applications or RAG-based applications.

14

Mandatory (Age) - Candidate's Age should be below 28

15

Mandatory ( Location ) - Candidates Only From Pune & Mumbai.

16

Mandatory (Education) - Must be a B.E / B.Tech from Tier 1 Colleges (IIT, NIT, IIIT, BITS, DTU, NSUT)

JOB DESCRIPTION

Position: Full-Stack Developer + DevOps Engineer

Department: Customer Support

Location:Chennai

Employment Type: Full-Time

Experience: Min 5 years of experience

Job Summary

We are looking for a hands-on Full-Stack Developer with DevOps experience who can build, deploy, maintain, and scale web applications. The ideal candidate should have strong experience in React, Python, cloud infrastructure, CI/CD pipelines, and application deployment. The candidate will be responsible for developing frontend and backend applications while ensuring reliable deployments, infrastructure management, and production performance.

Key Responsibilities

1. Full-Stack Development

* Develop responsive and scalable web applications using React.

* Build and maintain backend services, APIs, and business logic using Python.

* Integrate frontend applications with backend services and databases.

* Write clean, reusable, maintainable, and well-tested code.

* Debug application issues and improve performance and security.

2. DevOps and Cloud Infrastructure

* Manage and maintain cloud infrastructure using AWS and/or Microsoft Azure.

* Build, configure, and maintain CI/CD pipelines for automated testing and deployment.

* Automate application builds, releases, and deployment workflows.

* Manage server environments, application hosting, monitoring, and logging.

* Troubleshoot production issues and ensure application availability and reliability.

* Implement infrastructure automation and deployment best practices.

3. Collaboration and Ownership

* Collaborate with engineering, product, and QA teams.

* Participate in code reviews, technical discussions, and release planning.

* Identify opportunities to improve development workflows and deployment efficiency.

* Take ownership of application development, infrastructure, and production support.

Required Skills

·       Strong hands-on experience with React.

·       Proficiency in Python and backend development.

·       Experience building and integrating REST APIs.

·       Practical experience with AWS and/or Microsoft Azure.

·       Hands-on experience configuring and managing CI/CD pipelines.

·       Understanding of cloud deployments, servers, networking, and application monitoring.

·       Familiarity with Git, version control, and collaborative development workflows.

·       Strong debugging, troubleshooting, and problem-solving skills.

Good to Have

·       Experience with Docker and Kubernetes.

·       Infrastructure as Code tools such as Terraform.

·       Experience with databases such as PostgreSQL.

·       Knowledge of Linux, scripting, security, and cloud cost optimization.

·       Experience with automated testing and production monitoring.

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 total 5+ years of experience with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.

What You’ll Do as a Software Craftsperson 

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
• Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality. 
• Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
• Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
• Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
• Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
• Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
• Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering 

Requirements

What You’ll Bring 

• 
  
• 5+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
• Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
• Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
• Proficiency in one or more modern technologies Python, React, AI, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
• Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
• Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
• Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
• A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.

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. 

Benefits 

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