
- No day is the same - you will create technical designs that support varying client requirements
- You'll design and develop full-stack web applications using the latest web technologies, primarily Python and Django
- Write code/unit tests and be part of the test-driven development environment
- Leverage your skills in industry-standard tools to deliver weekly code releases
- You'll work in a no silos environment, frequently collaborating with global teams and roles across the organization
Who you are:
- 7+ years of experience developing great web applications
- You can build products from scratch
- You have expertise in the Django backend framework
- You are fluent in the Python language
- You have dabbled in any one of these front-end frameworks - Angular, React, Vue
- You understand when to use NoSQL vs. relational database
- you understand reporting/dashboards framework
- You are comfortable working up and down the stack
- You are able to convert ideas into designs and build them out
- Benefit if you have worked with payment gateways such as visa, Mastercard, etc.

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- Must have experience with Amazon Web Services (AWS)
- Experience with Python/Node.JS/Typescript
- At least 2+ years as back-end software developer
- A deep understanding of the benefits of the Microservice and serverless paradigms
- Prepared technical documentation, and understand why it’s important
- Understanding of database principals: SQL and NoSQL
- Collaboration and communication skills (you’ll be working with clients and internal teams)
- An understanding of programming fundamentals (OOP, data structures, algorithms)
- Familiarity and comfort with REST API, Postman
- The ability to work independently or within a team structure.
- A “lead by example” attitude, and motivation to deliver work you’re proud of
Job Description:
As a Backend Developer, you will:
- Implement server-side logic to ensure high performance and responsiveness to requests from the front-end.
- Integrate machine learning models for fraud detection, enhancing the security and reliability of our applications.
- Manage database operations, ensuring the integrity, security, and efficiency of data storage and retrieval.
- Collaborate with cross-functional teams to develop and maintain scalable, robust, and secure applications.
Responsibilities:
- Development of all server-side logic, definition, and maintenance of the central database.
- Ensuring high performance and responsiveness to front-end requests.
- Integrating data storage solutions, including databases, key-value stores, blob stores, etc.
- Implementing security and data protection measures.
- Integrating machine learning models for advanced data processing and analysis.
Key Performance Indicators (KPI) For Role:
- Quality and efficiency of backend systems developed.
- Effectiveness in integrating and deploying machine learning models.
- Database performance and security measures.
- Positive feedback from team members and stakeholders.
- Adherence to coding standards and best practices in backend development.
Prior Experience Required:
- Minimum 3+ years of backend development experience.
- Proficient in Node.js or Python (especially Django and Flask frameworks), or/and Go.
- Strong database management skills with both SQL and NoSQL databases.
- Experience in integrating and deploying machine learning models for real-world applications, specifically for fraud detection is highly desirable.
- Familiarity with RESTful API development and microservices architecture.
- Good understanding of asynchronous programming and its workarounds.
- Experience with cloud services (AWS, Azure, GCP) and serverless architectures.
Location:
Hyderabad
Collaboration:
The role involves close collaboration with frontend developers, data scientists, and project managers to ensure the seamless integration of backend services with front-end applications and data analytics models.
Salary:
Competitive, based on experience and market standards.
Education:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Language Skills:
- Strong command of Business English, both verbal and written, is required.
Other Skills Required:
- Strong analytical and problem-solving skills.
- Proficient understanding of code versioning tools, such as Git.
- Ability to design and implement low-latency, high-availability, and performant applications.
- Knowledge of security compliance and integrated security protocols.
- Familiarity with continuous integration and continuous deployment (CI/CD) pipelines.
- Experience with containerization technologies (Docker, Kubernetes) is a plus.
Other Requirements:
- Proven ability to work in a fast-paced, agile development environment.
- Demonstrated ability to manage multiple projects simultaneously and meet deadlines.
- A portfolio showcasing successful backend projects.
Responsibilities:
- Lead simultaneous development for multiple business verticals.
- Design & develop highly scalable, reliable, secure, and fault-tolerant systems.
- Ensure that exceptional standards are maintained in all aspects of engineering.
- Collaborate with other engineering teams to learn and share best practices.
- Take ownership of technical performance metrics and strive actively to improve them.
- Mentors junior members of the team and contributes to code reviews.
Requirements:
- A passion to solve tough engineering/data challenges.
- Be well versed with cloud computing platforms AWS/GCP
- Experience with SQL technologies (MySQL, PostgreSQL)
- Experience working with NoSQL technologies (MongoDB, ElasticSearch)
- Excellent Programming skills in Python/Java/GoLang
- Big Data streaming services (Kinesis, Kafka, RabbitMQ)
- Distributed cache systems(Redis, Memcache)
- Advanced data solutions(BigQuery, RedShift, DynamoDB, Cassandra)
- Automated testing frameworks and CI/CD pipelines Infrastructure orchestration(Docker/Kubernetes/Nginx)
- Cloud-native tech like Lambda, ASG, CDN, ELB, SNS/SQS, S3 Route53 SES
Technical Proficiency :
Must have :
- Strong development experience in Python in the environment of Unix/Linux/Ubuntu
- Strong practical knowledge of Python and its libraries.
- Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.
- Good knowledge of CI/CD and DevOps practices
- Good Experience of Python with Django/ Scrapy/ Flask frameworks.
- Good Experience in Jupyter/ Docker/ Elastic Search, etc.
- Solid understanding of software development principles and best practices.
- Strong analytical thinking and problem-solving skills.
- Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.
Good to have :
- Expected to have migration experience from one version to the other, as this project is about migration to the latest version.
- Preferred if had an OpenEdx platform experience or any LMS platform.
bout the Role
We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!
Key Responsibilities
• Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.
• Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.
• Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.
• Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.
• Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.
Required Skills
• Technical Skills:
o Proficiency in Python, including experience with key AI/ML libraries.
o Basic knowledge of UI and API development.
o Understanding of large language models (LLMs) and experience using them effectively.
• Analytical & Communication Skills:
o Strong problem-solving skills to address complex, ambiguous challenges.
o Ability to translate data insights into understandable reports for non-technical stakeholders.
o Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.
o Experience in statistical methods to interpret data and build metrics frameworks.
o Skilled in quantitative analysis to drive actionable insights.
As an SDE, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components.
Requirements:
- Exp: 3 - 8 years.
- 4 + years' experience building successful production software systems.
- A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field).
- The ability to take convert raw requirements into good design while exploring technical feasibility tradeoffs.
- Expertise in System design (design patterns, LLD, HLD, Solid principle, OOAD, Distributed systems etc. ), Architecture (MVC/Micro services).
- Excellence in technical communication.
- Has experience in mentoring other software developers.
- BS/MS in Computer Science or equivalent.
- Experience developing service oriented architectures and an understanding of design for scalability, performance and reliability.
- Demonstrated ability to mentor other software developers to maintain architectural vision and software quality.
- Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
- Expertise in delivering high-quality, innovative application.
- Strong desire to build, sense of ownership, urgency, and drive.
- Strong organisational and problem solving skills with great attention to detail.
- Ability to triage issues, react well to changes, work with teams and ability to multi-task on multiple products and projects.
- Experience building highly scalable, high availability services.
- The ideal candidate will be a visionary leader, builder and operator.
- He/she should have experience leading or contributing to multiple simultaneous product development efforts and initiatives.
- He/she needs to balance technical leadership with strong business judgment to make the right decisions about technology choices.
- He/she needs to be constantly striving for simplicity, and at the same time demonstrate significant creativity, innovation and judgme.
- Proficiency in, at least, one modern programming language.
- Experience in SQL or Non-SQL database.
- Strong sense of ownership, urgency, and drive.
- Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
- Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
- Excellent communication, collaboration, reporting, analytical and problem solving skills.
- Good understanding of at least some of the modern programming languages (Java) and open-source technologies
Your Responsibilities :
1) Building highly scalable and secured applications/microservices and responsive APIs
2) Assessing the security risks associated with the platform architecture and suggesting/implementing suitable changes for the same.
3) Architect and implement back-end services to support our mobile and web clients.
4) Creating and implementing database schemas that represent and support business processes.
5) Use best software development practices and processes including unit testing, code reviews, and site monitoring post deployment.
6) Continue to research and evaluate new technologies that may improve performance and elegance of our software implementation.
7) Explore and Integrate third-party APIs when required for the project.
8) Work closely with the rest of the team to bring our features into production.
Your skills :
- Hands-on experience in Django Framework.
- Strong Knowledge of Python.
- Strong Knowledge of MVC design pattern and object oriented programming concepts.
- Strong knowledge of RDBMS like Postgresql and Database schema design.
- Experience in developing robust and secure RESTful web API and microservices using Django/Python.
- Experience in Test Driven Development.
- Experience in handling No-SQL MongoDB or similar.
- Hands-on experience in GitHub.
- Experience in CI, CD tools like jenkins.
- Experience in managing cloud-based web applications on Amazon Web Services or Google Cloud.
- You love code and up for the challenge!
About MoEngage
MoEngage is a fast-paced startup that’s helping companies run smart marketing efforts in their effort to reach the customer. We are a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalised and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behavior and build marketing campaigns that proactively engage users.
In just four years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With marquee clients like Vodafone, Oyo, Airtel, McAfee, MoEngage has over 125+ paying Customers in the Enterprise & Internet companies space in India, US, South East Asia & EU. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru.
Today, MoEngage is an industry pioneer in the space and engages more than 350M devices. This includes approximately 40B events tracked per month, 30B+ messages sent, to millions of users across the globe.
As part of the Engineering team at MoEngage, here are some things you can expect:
- Take ownership and be responsible for what you build - no micro management
- Work with A players (some of the best talent in the country), and expedite your learning curve and career growth
- Make in India and build for the world at scale of 350M active users, which no other internet company in the country has seen
- Learn together from different teams on how they scale to millions of users and billions of messages.
- Explore the latest in topics like Data Pipeline, MongoDB, ElasticSearch, Kafka, Spark, Samza and share with the team
and more importantly have fun while you work on scaling MoEngage.
About Push team,
Push team is one of the core teams at MoEngage, responsible for sending close to a billion notifications everyday to help clients engage their users better. As a member of the Push team, you will be working on developing high performance solutions to deliver personalised and context-based notifications across various channels to help achieve increased customer retention as well as customer LTV. You will also be working on designing and building features to help clients to provide customised experience for end users allowing them to have a more personalised experience at scale. Here you will have a chance to own systems and develop features end to end i.e right from inception to deployment. Though we work at scale, reliability is of utmost importance for us and we build in house solutions like Campaign Watcher & AutoBatchRunner to ensure 100% transparency and delivery of notifications
- Scaling campaign sending system to ensure industry leading delivery times (40 Million notifications under 2 minutes)
- Rich campaign content delivery and templating support
- Build and develop features to have appealing and consistent experiences across channels which touch 200+ customers and 200+ million users!
Skill Requirements
- Proven experience in handling large infrastructure and distributed systems
- Familiarity with Python related technologies and frameworks like Django or Pyramid.
- Familiarity with at least one of the cloud computing infrastructure - GCP / Azure / AWS
- Familiarity with task queue frameworks like Celery or Pika is a plus.
- Tech Stack - Python, Falcon, Elastic Search, MongoDB, AWS (SQS S3), Linux, Map Reduce









