Backend Developer (ROR)

Position: Lead Backend Engineer

Location: Remote

Experience: 10+ Years

Budget: 1.7 LPM

Employment Type: [Contract]

Required Skills & Qualifications:

• 10+ years of proven backend engineering experience.
• Strong proficiency in Python.
• Expertise in SQL (Postgres) and database optimization.
• Hands-on experience with OpenAI APIs.
• Strong command of FastAPI and microservices architecture.
• Solid knowledge of debugging, troubleshooting, and performance tuning.

Nice to Have:

• Experience with Agentic Systems or ability to quickly adopt them.
• Exposure to modern CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, or GCP).

Job title - Python developer

Exp – 4 to 6 years

Location – Pune/Mum/B’lore

PFB JD

Requirements:

• Proven experience as a Python Developer
• Strong knowledge of core Python and Pyspark concepts
• Experience with web frameworks such as Django or Flask
• Good exposure to any cloud platform (GCP Preferred)
• CI/CD exposure required
• Solid understanding of RESTful APIs and how to build them
• Experience working with databases like Oracle DB and MySQL
• Ability to write efficient SQL queries and optimize database performance
• Strong problem-solving skills and attention to detail
• Strong SQL programing (stored procedure, functions)
• Excellent communication and interpersonal skill

Roles and Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using pyspark
• Work closely with data scientists and analysts to provide them with clean, structured data.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams to gather data requirements.
• Ensure data quality and integrity through data validation and cleansing processes.
• Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
• Stay up to date with industry best practices and emerging technologies in data engineering.

Position of the role

The Principal Engineer reports to the Domain Lead and plays a key role in driving the technical vision, strategy, and execution of development initiatives. The Principal Engineer collaborates with multiple teams to ensure that software solutions are scalable, cost-optimized, performant, and aligned with business objectives.

Result expectation in terms of result areas and core activities

The Principal Engineer is responsible for defining, designing, and overseeing the implementation of complex software solutions. This role involves deep technical expertise, mentorship, and architectural guidance across multiple teams. The Principal Engineer also acts as a thought leader, influencing technology choices, best practices, and innovation within the organization.

Main objectives of the role

✔ Leading the design and architecture of the software by following best practices that ensure scalability, maintainability, cost optimization, and high performance.

✔ Driving innovation and continuous improvements in software development practices.

✔ Providing technical mentorship and coaching to engineers across teams.

✔ Ensuring the successful delivery of high-quality software aligned with business requirements.

✔ Defining and maintaining coding standards, best practices, and governance frameworks.

✔ Collaborating with product management and other stakeholders to shape the technical roadmap.

✔ Identifying technical debt and implementing strategies to mitigate it effectively.

✔ Promoting a culture of continuous learning, knowledge sharing, and cross-team collaboration.

✔ Leading DevOps, CI/CD, and automation to improve software delivery processes and efficiency.

Specialisation

✔ Deep understanding of software architecture, system design, and performance optimization.

✔ Translating complex business requirements into scalable and efficient software solutions.

✔ Handling large data transformations and ensuring system efficiency under the required load conditions.

✔ Leading initiatives for modernizing the technology stack and implementing best practices.

✔ Ensuring that security, scalability, and maintainability are embedded into development processes.

✔ Driving research and development efforts to explore emerging technologies and their business impact.

✔ Enabling teams to develop and maintain high-quality software through code reviews, architecture guidance, and technical strategy.

✔ Collaborating with product owners and stakeholders to ensure that development aligns with business goals and user needs.

Key processes in the role

✔ Agile / Scrum / Kanban development methodologies.

✔ CI/CD and DevOps practices to streamline delivery.

✔ Cloud-native architecture, monolith and microservices-based development.

✔ Scalable and high-performance computing strategies.

✔ Secure software development lifecycle (SDLC).

✔ Data-driven decision-making.

✔ Performance optimization.

Key relationships (teams and/or position titles)

✔ Engineering Teams (Developers, QA, DevOps).

✔ Head of Engineering and Technology Leadership.

✔ Product Management and Business Stakeholders.

✔ Customer Success and Solution Architects.

✔ External Technical Partners and Vendors.

Requirements

✔ Bachelor's or Master’s degree in Computer Science, Software Engineering, or a related field.

✔ 10+ years of experience in software development, with a proven track record .

✔ Strong experience in Python and modern software engineering practices.

✔ Expertise in cloud computing platforms (AWS, Azure, or GCP).

✔ Experience in architecting and developing scalable, high-performance applications.

✔ Hands-on experience with CI/CD pipelines, DevOps tools, and automation.

✔ Deep understanding of microservices, monolith, APIs, and distributed systems.

✔ Strong experience with database technologies, including SQL and NoSQL.

✔ Excellent communication and leadership skills, with the ability to influence technical decisions across teams.

✔ A passion for mentoring, coaching, and fostering a strong engineering culture.

✔ Experience in defining and implementing technical governance and best practices.

Competences

✔ Strategic Thinking - 4

✔ Analytical Problem Solving - 4

✔ Technical Leadership & Mentorship - 4

✔ Communication & Collaboration - 3

Measures of success

✔ Technical leadership impact - measurable improvements in code quality, architecture, and scalability.

✔ Delivery of high-quality software within agreed timelines and business requirements.

✔ Successful mentorship - improvement in team skill levels, problem-solving capabilities, and innovation.

✔ Reduction of technical debt through strategic refactoring and modernization.

✔ Engineering team satisfaction - based on feedback and collaboration effectiveness.

✔ Improvements in system performance, stability, cost-optimization, and security.

✔ Adoption of best practices and emerging technologies across teams.

✔ Contribution to company-wide strategic initiatives through technical innovation and leadership.

At Egnyte we develop content governance and collaboration products that are deployed across several large companies such as Yamaha and Red bull. The Egnyte platform supports daily, business critical operations for a million-plus user base interacting with a multi-petabyte content set.

We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.  

We’re looking for Senior Software Engineers and he should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

• Design and develop scalable cloud components that seamlessly integrates with on-premises systems.
• Challenge and redefine existing architecture or make 10x improvements in performance and scalability.
• Ability to foresee post-deployment design challenges, performance and scale bottlenecks.
• Hire and mentor junior engineers
• Doing code reviews, unit and performance testing of the code.
• Monitor and manage 3000+ nodes using modern DevOps tools and APM solutions.

• Demonstrated success designing and developing complex cloud based solutions
• Solid CS fundamentals with one or more areas of deep knowledge
• Experience with the following technologies: Java, SQL, Linux, Python, Nginx, Haproxy, BigQuery, HBase, New Relic, memcache, Elasticsearch, docker.
• Data driven decision process
• Relies on automation testing instead of manual QA
• Experience in working with Google cloud, AWS or Azure is preferred

• Software Engineering
  • Design and develop highly scalable, available, reliable, secure and fault tolerant systems with minimal guidance for a market leader in the logistics industry
  • Partner with team members on functional and nonfunctional requirements and spread design philosophy, goals and improve the code quality across the team
  • Research new technologies and tools that enable building the next generation of our services
  • Provide technology leadership to the team and foster engineering excellence
• Product Delivery
  • Partner with product managers to define and execute on the feature roadmap
  • Translate business requirements into scalable and extensible design
  • Coordinate with various cross functional teams on planning and execution
  • Maintaining automated build / test / deployment environments

• Software Engineering
  • Deep knowledge of one of the programming language they have experience in
  • Proficient in OOP and Design Patterns, experience with functional programming would be a plus
  • Data modelling experience in Relational Databases
  • Ability to design and implement low latency RESTful services
• Product Delivery
  • Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks.
  • Well versed in working with agile methodologies which includes phases such as design, development, code review, testing and release management
  • Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source code management tools
• Product Maintenance
  • Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks etc
  • Continuously refactor applications to ensure high quality design

Job Type: Full-time

CTC Offering : 3.6L PA to 6L PA

Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra

Required experience:

• Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms

Overview

We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework

Key Skills required (Items in Bold are mandatory keywords) :

1. Proficiency in Python 3.x based web and backend development

2. Solid understanding of Python concepts

3. Experience with some form of Machine Learning (ML)

4. Experience in using libraries such as Numpy and Pandas

5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar

6. Hands on experience with RDBMS such as Postgres or MySQL

7. Experience building REST APIs using DRF or Flask

8. Comfort with Git repositories, branching and deployment using Git

9. Working experience with Docker

10. Basic working knowledge of ReactJs

11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

KRAs includes:

1. Understanding the scope of work

2. Understanding and adopting the current internal development workflow and processes

3. Understanding client requirements as communicated by the project manager

4. Arriving on timelines for projects, either independently or as a part of a team

5. Executing projects either independently or as a part of a team

6. Developing products and projects using Python

7. Writing code to collect and mathematically analyse large volumes of data.

8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to

provide optimal deliveries on time

9. Writing Scalable, maintainable code

10. Building secured REST APIs

11. Setting up batch task processing environments using Celery

12. Unit testing prepared modules

13. Bug fixing issues as reported by the QA team

14. Optimization and performance tuning of code

Bonus but not mandatory

1. Nodejs

2. Redis

3. PHP

4. CI/CD

5. AWS