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We are seeking a highly skilled and motivated Python Developer with hands-on experience in AWS cloud services (Lambda, API Gateway, EC2), microservices architecture, PostgreSQL, and Docker. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable backend services and APIs, with a strong emphasis on cloud-native solutions and containerized environments.
Key Responsibilities:
- Develop and maintain scalable backend services using Python (Flask, FastAPI, or Django).
- Design and deploy serverless applications using AWS Lambda and API Gateway.
- Build and manage RESTful APIs and microservices.
- Implement CI/CD pipelines for efficient and secure deployments.
- Work with Docker to containerize applications and manage container lifecycles.
- Develop and manage infrastructure on AWS (including EC2, IAM, S3, and other related services).
- Design efficient database schemas and write optimized SQL queries for PostgreSQL.
- Collaborate with DevOps, front-end developers, and product managers for end-to-end delivery.
- Write unit, integration, and performance tests to ensure code reliability and robustness.
- Monitor, troubleshoot, and optimize application performance in production environments.
Required Skills:
- Strong proficiency in Python and Python-based web frameworks.
- Experience with AWS services: Lambda, API Gateway, EC2, S3, CloudWatch.
- Sound knowledge of microservices architecture and asynchronous programming.
- Proficiency with PostgreSQL, including schema design and query optimization.
- Hands-on experience with Docker and containerized deployments.
- Understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or CodePipeline.
- Familiarity with API documentation tools (Swagger/OpenAPI).
- Version control with Git.


About Moative
Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.
Work you’ll do
As a Data Engineer, you will work on data architecture, large-scale processing systems, and data flow management. You will build and maintain optimal data architecture and data pipelines, assemble large, complex data sets, and ensure that data is readily available to data scientists, analysts, and other users. In close collaboration with ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade solutions that directly impact business outcomes. Ultimately, you will be responsible for developing and implementing systems that optimize the organization’s data use and data quality.
Responsibilities
- Create and maintain optimal data architecture and data pipelines on cloud infrastructure (such as AWS/ Azure/ GCP)
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements
- Build the pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Support development of analytics that utilize the data pipeline to provide actionable insights into key business metrics
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Who you are
You are a passionate and results-oriented engineer who understands the importance of data architecture and data quality to impact solution development, enhance products, and ultimately improve business applications. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration.
You have experience in developing and deploying data pipelines to support real-world applications. You have a good understanding of data structures and are excellent at writing clean, efficient code to extract, create and manage large data sets for analytical uses. You have the ability to conduct regular testing and debugging to ensure optimal data pipeline performance. You are excited at the possibility of contributing to intelligent applications that can directly impact business services and make a positive difference to users.
Skills & Requirements
- 3+ years of hands-on experience as a data engineer, data architect or similar role, with a good understanding of data structures and data engineering.
- Solid knowledge of cloud infra and data-related services on AWS (EC2, EMR, RDS, Redshift) and/ or Azure.
- Advanced knowledge of SQL, including writing complex queries, stored procedures, views, etc.
- Strong experience with data pipeline and workflow management tools (such as Luigi, Airflow).
- Experience with common relational SQL, NoSQL and Graph databases.
- Strong experience with scripting languages: Python, PySpark, Scala, etc.
- Practical experience with basic DevOps concepts: CI/CD, containerization (Docker, Kubernetes), etc
- Experience with big data tools (Spark, Kafka, etc) and stream processing.
- Excellent communication skills to collaborate with colleagues from both technical and business backgrounds, discuss and convey ideas and findings effectively.
- Ability to analyze complex problems, think critically for troubleshooting and develop robust data solutions.
- Ability to identify and tackle issues efficiently and proactively, conduct thorough research and collaborate to find long-term, scalable solutions.
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

Job Title : Full Stack Drupal Developer
Experience : Minimum 5 Years
Location : Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon (Hybrid or On-site)
Notice Period : Immediate to 15 Days Preferred
Job Summary :
We are seeking a skilled and experienced Full Stack Drupal Developer with a strong background in Drupal (version 8 and above) for both front-end and back-end development. The ideal candidate will have hands-on experience in AWS deployments, Drupal theming and module development, and a solid understanding of JavaScript, PHP, and core Drupal architecture. Acquia certifications and contributions to the Drupal community are highly desirable.
Mandatory Skills :
Drupal 8+, PHP, JavaScript, Custom Module & Theming Development, AWS (EC2, Lightsail, S3, CloudFront), Acquia Certified, Drupal Community Contributions.
Key Responsibilities :
- Develop and maintain full-stack Drupal applications, including both front-end (theming) and back-end (custom module) development.
- Deploy and manage Drupal applications on AWS using services like EC2, Lightsail, S3, and CloudFront.
- Work with the Drupal theming layer and module layer to build custom and reusable components.
- Write efficient and scalable PHP code integrated with JavaScript and core JS concepts.
- Collaborate with UI/UX teams to ensure high-quality user experiences.
- Optimize performance and ensure high availability of applications in cloud environments.
- Contribute to the Drupal community and utilize contributed modules effectively.
- Follow best practices for code versioning, documentation, and CI/CD deployment processes.
Required Skills & Qualifications :
- Minimum 5 Years of hands-on experience in Drupal development (Drupal 8 onwards).
- Strong experience in front-end (theming, JavaScript, HTML, CSS) and back-end (custom module development, PHP).
- Experience with Drupal deployment on AWS, including services such as EC2, Lightsail, S3, and CloudFront.
- Proficiency in JavaScript, core JS concepts, and PHP coding.
- Acquia certifications such as:
- Drupal Developer Certification
- Site Management Certification
- Acquia Certified Developer (preferred)
- Experience with contributed modules and active participation in the Drupal community is a plus.
- Familiarity with version control (Git), Agile methodologies, and modern DevOps tools.
Preferred Certifications :
- Acquia Certified Developer.
- Acquia Site Management Certification.
- Any relevant AWS certifications are a bonus.
Technical Skills:
- Ability to understand and translate business requirements into design.
- Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
- Experience in creating ETL jobs using Python/PySpark.
- Proficiency in creating AWS Lambda functions for event-based jobs.
- Knowledge of automating ETL processes using AWS Step Functions.
- Competence in building data warehouses and loading data into them.
Responsibilities:
- Understand business requirements and translate them into design.
- Assess AWS infrastructure needs for development work.
- Develop ETL jobs using Python/PySpark to meet requirements.
- Implement AWS Lambda for event-based tasks.
- Automate ETL processes using AWS Step Functions.
- Build data warehouses and manage data loading.
- Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Implement consistent observability, deployment and IaC setups
- Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
- Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Lead infrastructure security audits
Requirements
- At least 7 years of experience in handling/building Production environments in AWS.
- At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Experience in security hardening of infrastructure, systems and services.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.


- 2-5 years relevant work experience in building multiple users software solutions
- 1-2 years hands on experience building cloud based web and mobile applications
- JavaScript, React, NodeJS, structured and unstructured store
- Strong Front End or Back end experience
- Hands on experience building Restful APIs
- Hands on experience building microservices based applications
- Understanding of DevOps / DevSecOps processes and related tools including, but not limited to, IaC (Terraform, CloudFormation), config management (Chef, Puppet), Git / Bitbucket, or Jenkins, etc.
- Hands on experience with multiple frontend or backend technologies (either) / frameworks / platforms supporting web and mobile applications – Such as: NodeJS, Python, Django, Flask, PHP, Laravel, jQuery, Bootstrap, Angular, Vue.js, ReactJS, Bootstrap, React-Native, Flutter, iOS SDK, or similar.
- Hands-on end to end experience of multiple application development frameworks, monitoring tools, and deployment methodologies
- Experience building and deploying with container technologies such as Docker and Kubernetes and leveraging them throughout the CICD process
- Understanding of practices regarding system security measures
Roles and Responsibilities
1. Ability to work on diverse backend stack such as Node JS, Java, Express JS
2. Ability to work on diverse frontend stack such as React JS, Angular 6/7/8/9, HTML5, CSS3
3. Ability to deliver quick POC’s using cutting edge technologies.
4. Preparing reports, manuals and other documentation on the status, operation and maintenance of software.
5. Design, develop, and unit test applications in accordance with established standards
6. Developing, refining, and tuning integrations between applications. Analysing and resolving technical and application problems.
7. Ability to debug application.
8. Should have complete knowledge on developing RESTful Services.
9. Should be able to also work in agile development methodology.
10. Work with designated JavaScript framework to design, develop, and debug web applications
11. Can work on Angular and Integrate backend services
12. Work with the team to manage, optimize, and customize multiple web applications
13. Manage end to end module lifecycle management of the product
14. Push and pull codes via Git repository
Competency Requirements
- Experience in NodeJS, Java and development using AngularJS / ReactJS
- Experience in front end frameworks such as Angular.js, React.js, Bootstrap, Foundation etc
- Experience in client/server application development
- Knowledge of agile development methodologies
- Knowledge of unit testing theory
- Knowledge of AWS cloud
- Experience in Java, Python and Go will be added advantage

Skills:
- Expertise in Python 3 on AWS serverless
- Experience in AWS serverless stack Appsync, Lambda, Cognito, API Gateway, DynamoDB, Elasticsearch, SQS, S3, Code commit & Code Deploy.
- Proficient in modern microservice-based architectures and methodologies.
- Experience in a database technology, preferably No-SQL such as AWS DynamoDB.
- Build human-centric UX with us using technologies like React, TypeScript, GraphQL, and CSS-in-JS.
- Experience building data processing pipelines (SQS, Kinesis, DynamoDB, AWS Lambda, or similar)
- Deep technical hands-on experience developing in REST/JSON or SOAP/XML, combined with strong knowledge of concepts such as CORs (Cross Origins Resources), headers, security, JSON and http concept.
- Experience with Github and advanced Github features (good to have).
- Must have worked as a part of Agile Teams and DevOps practices such as continuous Integration tools (e.g. Jenkins), code repository, creating CI/CD pipelines is required.