Python Developer at product company · Remote only · 3 - 7 years · ₹10L - ₹15L / yr · Remote only · Posted 10 Sep 2022

-3+ Years of Experience in Software Development
-Strong software engineering knowledge and experience
-Strong in Python
-Experience in maintaining large scale application
-Knowledge of Docker/Kubernetes
-Proficiency in Cloud(AWS/Azure/GCP)
-Knowledge in Big Data/DevOps/MLOps

Similar jobs (10)
Job Description – DevOps + Python
Job Title: DevOps + Python Developer
Experience: 4–10 Years
Location: Bangalore / Hyderabad
Notice Period: Immediate to 15 Days
Mandatory Skills
- Python
- Kubernetes
- Containerization
- DevOps
- Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)
Job Description
We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.
The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.
Key Responsibilities
- Develop and maintain applications/scripts using Python.
- Work with Kubernetes and containerized environments.
- Support DevOps processes and automation.
- Work with cloud platforms and cloud-based environments.
- Collaborate with development and infrastructure teams.
- Troubleshoot and resolve deployment and environment-related issues.
Devops + Python
Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
4-8 years /16 LPA
10+ years /26 LPA
Bangalore/Hyderabad
immediate to 15 days.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Strong Python Developer profile with robust AWS exposure
2
Mandatory (Experience 1): Must have 7+ years of hands-on software development experience with at least the recent 4+ years in Python and strong hands on knowledge of AWS
3
Mandatory (Tech skill 1): Must have strong working knowledge of Python.
4
Mandatory (Tech skill 2): Must have good understanding of AWS services including EC2, S3, Lambda, IAM, CloudWatch, and ECS or ECR
5
Mandatory (Tech skill 3): Must be able to write and understand REST APIs
6
Mandatory (Tech skill 4): Must be comfortable with version control tools such as Git, GitHub, Bitbucket, or GitLab
7
Mandatory (Tech skill 5): Must have good understanding of databases such as PostgreSQL, MySQL, or DynamoDB
8
Mandatory (Tech skill 6): Must have familiarity with Linux commands and shell scripting
9
Mandatory (Skill): Must have good debugging and problem-solving skills, with the ability to read existing code and make changes independently with light guidance
10
Mandatory (Skill 2): Must have strong communication skills
11
Preferred (Tech skill 1): Experience with AWS CodeCommit, and exposure to AWS CodeBuild, CodeDeploy, CodePipeline, GitHub Actions, Jenkins, or similar CI/CD tools
12
Preferred (Tech skill 2): Basic understanding of CI/CD pipelines
13
Preferred (Tech skill 3): Experience with Docker or container-based applications
14
Preferred (Tech skill 4): Basic knowledge of infrastructure-as-code tools such as Terraform or AWS CloudFormation

2–4 years of experience in backend development with Python or Golang.
● Solid understanding of RESTful APIs, microservices, and distributed systems.
● Strong knowledge of data structures, algorithms, and OOPS principles.
● Hands-on experience with relational and/or NoSQL databases.
● Familiarity with Linux development, Docker, and basic cloud concepts
(AWS/GCP/Azure).
● Proficiency with Git and version control workflows.
● Familiarity with AI-powered development tools or exposure to projects involving large
language models (LLMs) is a plus.
Strong analytical and debugging skills with the ability to solve complex problems.
Technical Expertise
• Proficiency in Node.js or Python – Hands-on experience with backend development frameworks
and best practices.
• Expertise in SQL/NoSQL Databases – Strong experience with MySQL, PostgreSQL, MongoDB, or
DynamoDB.
• ElasticSearch & API Development – Strong knowledge of REST APIs, ElasticSearch, and high-
availability system design.
• Cloud & DevOps – Hands-on experience with AWS, Kubernetes, Docker, and CI/CD pipelines.
• Data Structures & Algorithms – Strong command over data structures, algorithms, OOD, and
design patterns.
• Version Control & Deployment – Experience with Git, GitHub Actions, and other deployment
systems.
• High-Performance Systems – Implemented solutions that handle high availability, concurrency,
and low-latency requirements.

Primary Skills:
Python / Golang, RESTful APIs, Docker, Kubernetes, Linux
Core Responsibilities:
- Design, develop, and maintain backend services and APIs using Python or Golang.
- Write high-quality, testable, and maintainable code with a focus on performance and scalability.
- Implement automated tests and contribute to CI/CD pipelines.
- Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
- Troubleshoot production issues and provide timely resolutions.
- Participate in design and architecture discussions to improve system efficiency.
- Contribute to improving development processes, coding standards, and best practices.
Experience and Expertise:
- 1-2 years of experience in backend development with Python or Golang.
- Solid understanding of RESTful APIs, microservices, and distributed systems.
- Strong knowledge of data structures, algorithms, and OOPS principles.
- Hands-on experience with relational and/or NoSQL databases.
- Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
- Proficiency with Git and version control workflows.
- Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.
Skills:
- Strong analytical and debugging skills with the ability to solve complex problems.
- Good communication and collaboration skills across teams.
- Ability to work independently with minimal supervision while being a strong team player.
- Growth mindset – eagerness to learn new technologies and improve continuously.
Role Overview
As a Software Engineer, you will build and maintain features across our SaaS platform. You will work on well-scoped tasks and features, collaborate closely with senior engineers, and grow your skills in software design, cloud-native development, and modern engineering practices. This role is a great fit for engineers who have solid programming fundamentals, are curious and quick to learn, and take pride in writing quality code. You will be supported and mentored while taking on increasing ownership over time.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science or a related discipline.·
5–8 years of software engineering experience building production-grade applications.
Strong experience building and operating cloud-native SaaS or web applications.
Solid understanding of software design, distributed systems, and modern engineering practices.
Proven ability to own and deliver complex features independently.
Experience debugging and resolving performance, scalability, and reliability issues.
What We Look For
Strong programming fundamentals and a quality mindset.
Curiosity and a strong desire to learn and grow.
Ability to deliver well-scoped tasks reliably.
Good problem-solving and debugging skills.
Collaboration and communication skills.
Ownership and accountability for the work you do.
Passion for building software and continuous learning.

Primary Skills:
Python / Golang, RESTful APIs, Docker, Kubernetes, Linux
Core Responsibilities:
- Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
- System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
- Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
- Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
- Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
- Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
- Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
- Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.
Experience and Expertise:
- 4–7 years of backend development experience with Python or Golang.
- Strong expertise in designing, developing, and scaling microservices and distributed systems.
- Solid understanding of concurrency, multi-threading, and performance optimization.
- Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
- Hands-on experience with Linux development, Docker, and Kubernetes.
- Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
- Strong debugging, profiling, and optimization skills for production-grade systems.
- Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.
Skills:
- Strong problem-solving ability, with experience handling complex technical challenges.
- Ability to lead technical initiatives and mentor junior engineers.
- Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
- Self-motivated, proactive, and able to operate independently while aligning with team goals.
- Passionate about engineering culture, quality, and developer productivity.

Primary Skills:
Python / Golang, RESTful APIs, Docker, Kubernetes, Linux
Core Responsibilities:
- Design, develop, and maintain backend services and APIs using Python or Golang.
- Write high-quality, testable, and maintainable code with a focus on performance and scalability.
- Implement automated tests and contribute to CI/CD pipelines.
- Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
- Troubleshoot production issues and provide timely resolutions.
- Participate in design and architecture discussions to improve system efficiency.
- Contribute to improving development processes, coding standards, and best practices.
Experience and Expertise:
- 2–4 years of experience in backend development with Python or Golang.
- Solid understanding of RESTful APIs, microservices, and distributed systems.
- Strong knowledge of data structures, algorithms, and OOPS principles.
- Hands-on experience with relational and/or NoSQL databases.
- Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
- Proficiency with Git and version control workflows.
- Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.
Skills:
- Strong analytical and debugging skills with the ability to solve complex problems.
- Good communication and collaboration skills across teams.
- Ability to work independently with minimal supervision while being a strong team player.
- Growth mindset – eagerness to learn new technologies and improve continuously.
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.
This is a remote position.
Experience Level
This role is ideal for engineers with 3–6 years of experience and a strong background in building scalable, production-grade software systems.
We are looking for hands-on Software Engineers with deep expertise in Python and TypeScript, with exposure to AI/LLM systems and modern infrastructure tooling.
What You’ll Do as a Software Craftsperson
• Take full ownership of the software development lifecycle for complex, cross-functional initiatives — from design through production readiness.
• Build and maintain robust, scalable backend systems and APIs using Python and TypeScript, following clean code and software craftsmanship principles.
• Design and deliver features end-to-end, balancing scope, quality, and long-term maintainability.
• Identify technical and product issues beyond the immediate scope of work, proactively raising risks and driving solutions.
• Shape team practices around code quality, testing, tooling, and continuous improvement using DevEx and DORA principles.
• Collaborate closely with clients and internal teams to understand requirements, clarify priorities, and align on outcomes.
• Mentor and guide fellow engineers to raise overall team performance and promote a culture of learning.
• Leverage AI tools (LLMs, agentic frameworks, etc.) to accelerate design, development, testing, and delivery where applicable.
Requirements
What You’ll Bring
3–6 years of overall software engineering experience with a strong track record of owning and delivering complex production systems.
Must-Have Skills
• Python (must-have): Deep expertise in writing idiomatic, testable, production-grade Python — including advanced OOP, data structures, algorithms, and software engineering best practices.
• TypeScript (must-have): Strong proficiency in building and maintaining type-safe, scalable applications across frontend and/or backend TypeScript codebases.
• Strong system design skills: ability to architect scalable, maintainable, and observable systems with a focus on reliability and long-term operability.
• Solid engineering practices: experience with TDD, CI/CD, code reviews, refactoring, and continuous deployment in Agile or eXtreme Programming environments.
• Working knowledge of relational databases, web server ecosystems, REST/gRPC APIs, and performance optimisation.
• Experience with source control, bug tracking, user story writing, and maintaining clear technical documentation.
Good-to-Have Skills
• AI / LLM experience: hands-on exposure to building applications using LLMs (GPT, Claude, Gemini, or similar) for tasks such as document classification, entity extraction, or structured data generation.
• LLM orchestration frameworks: familiarity with LangChain, LlamaIndex, Mastra, Agno, or similar agentic frameworks.
• Prompt engineering: experience refining prompts and orchestration patterns to improve response accuracy, consistency, and structured outputs.
• Vector databases and observability tooling: exposure to tools like Pinecone, PgVector, Qdrant, LangSmith, or DeepEval.
• Container orchestration and infrastructure-as-code: experience with Kubernetes, Terraform, and Docker for deploying and managing production workloads.
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: experimenting with real-world systems, solving complex infrastructure challenges, and contributing to cutting-edge AI initiatives. We are all lifelong learners, and our work is our passion.
Perks
• Dedicated learning & development budget
• Sponsorship for conference talks
• Comprehensive medical & term insurance
• Employee-friendly leave policies
• Home Office fund
• Medical Insurance






