
Strong Full stack/Backend engineer profile
Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
Mandatory (Company) : Product companies (B2B SaaS preferred)
Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

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Job Title: Python Developer (Django / Databricks / Azure)
📍 Location: Bangalore
🕒 Experience: 3–8 Year
💼 Employment Type: FTE
🔹 Job Summary:
We are seeking a skilled Python Developer with strong experience in Django, Flask API development, Databricks, and Azure Cloud. The ideal candidate will be responsible for designing scalable backend systems, developing REST APIs, building data pipelines, and working with cloud-based data platforms.
🔹 Key Responsibilities:
✔ Develop and maintain web applications using Django framework
✔ Design and build RESTful APIs using Flask
✔ Develop and optimize data pipelines using Azure Databricks
✔ Integrate applications with Azure services (Blob, Data Factory, SQL, etc.)
✔ Write clean, scalable, and efficient Python code
✔ Collaborate with frontend, DevOps, and data engineering teams
✔ Perform code reviews and ensure best practices
✔ Troubleshoot, debug, and upgrade existing systems
🔹 Required Skills:
- Strong proficiency in Python programming
- Hands-on experience with Django framework
- Experience building Flask-based REST APIs
- Experience working with Azure Databricks
- Knowledge of Azure Cloud services
- Experience with SQL / NoSQL databases
- Understanding of CI/CD and Git workflows
🔹 Good to Have:
- Experience with PySpark
- Knowledge of microservices architecture
- Docker / Kubernetes exposure
- Experience in data engineering projects
As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design, data engineering tools, and a strong understanding of LLMs and their applications.
We are looking for a skilled Java Developer with hands-on experience in Java, Spring Boot, and Microservices architecture to join our dynamic development team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, scalable applications that meet the needs of modern enterprise systems.
Key Responsibilities:
💠Design, develop, test, and deploy Java-based applications using Spring Boot and Microservices.
💠Collaborate with product managers, architects, and cross-functional teams to understand requirements and deliver solutions.
💠Build and maintain RESTful APIs for various business functionalities.
💠Participate in code reviews, debugging, and performance tuning.
💠Ensure best practices in code quality, security, and software development lifecycle (SDLC).
💠Maintain and improve existing systems and troubleshoot issues as needed.
💠Implement and manage containerized applications (e.g., using Docker, Kubernetes) where applicable.
💠Integrate third-party APIs and work with database systems (SQL and/or NoSQL).
💠Monitor and maintain application performance and scalability.
Required Skills & Qualifications:
💠Bachelors/Masters degree in Computer Science, Engineering, or related field.
💠Strong proficiency with Spring Boot and the broader Spring Framework.
💠Proven experience in building and deploying Microservices.
💠Knowledge of RESTful web services and API design.
💠Experience with databases like MySQL, PostgreSQL, or MongoDB.
💠Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems like Git.
💠Understanding of containerization tools (Docker, Kubernetes is a plus).
💠Strong problem-solving and communication skills.
● 5+ years of experience as a Data engineer or related role.
● 5+ years of experience in application development using Python
● Strong experience with SQL and good to have NoSQL.
● Experience with Agile engineering practices.
● Preferred experience in writing queries for RDBMS, cloud-based data warehousing solutions like
Snowflake.
● Ability to work independently or as part of a team.
● Experience with cloud platforms, preferably AWS, is good to have
● Experience with ETL/LT tools and methodologies.
● Experience working on real-time Data Streaming and Data Streaming platforms
Elocity is a cleantech start-up striving to make the world a better place through technology innovations. We are building a global infrastructure for making the transition to electric vehicles viable, affordable, and sustainable by working closely with the utilities, governments, and public.
Headquartered out of Canada, we are a team of highly specialized domain experts and problem solvers enabling utilities, public and private sector entities to successfully manage the demands of electric vehicle charging and its infrastructure needs to pave the way for electromobility in future.
To know more visit https://elocitytech.com/
Responsibilities:
- Determines technical feasibility of features or solutions by evaluating problem, customer requirements, possible solutions and technology requirements.
- Exercises judgement in prioritizing tasks and selecting methods and techniques for obtaining solutions.
- Create low-level design of modules of a software application through proper documentation and
- diagrams.
- Develops software solutions by studying requirements, clarifying customer/user needs, analysing data
- and processes and following established software development practices and processes.
- Develops proof of concepts for technical evaluation and early customer feedback
- Updates and shares knowledge by studying state-of-the-art development tools, programming
- techniques, and computing technology; reading professional publications
- Networks with internal and external personnel in own area of expertise.
- Skills:
- Good command in JavaScript/TypeScript. Knowledge of Java/Python will be a plus.
- Experience in Debugging/troubleshooting TypeScript code.
- Experience in API development (REST/GraphQL etc)
- Experience in development of Web and Mobile(android/iOS) applications
- Exposure of Parallel and Asynchronous programming
- Experience in writing Unit tests (Jest or any similar framework)
- Should be proficient in relational Database concepts (Postgres etc.)
- Knowledge of Non-relational Databases would be a plus.
- Good Understanding of Object-Oriented Programming Concepts.
- Good Understanding of Design Patterns.
- Good command of Data structures, Algorithms and Complexity.
- Good at problem solving and analytical skills.
- Experience with Source Code Versioning systems (Git etc)
- Understanding of Micro services Architecture would be a plus
- 8+ years of relevant work experience
- Well-versed in data structures, algorithms, and software design. Programming experience with at least one of
- Java or Python and object-oriented design
- Knowledge on SQL, NoSQL databases, Messaging/Caching technologies and AW deployments is a plus
- Exposure to the architecture and design (design patterns, security, reliability and scaling) of new and current systems. Experience in building highly scalable business applications, which involve implementing large complex business flows involving multiple third-party integrations
- Prior startup experience is a plus
- Set up, manage, automate and deploy AI models in development and production infrastructure.
- Orchestrate life cycle management of AI Models
- Create APIs and help business customers put results of the AI models into operations
- Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
- Validate the AI Models
- Make model performant (time and space) based on the business needs
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Processing, cleansing, and verifying the integrity of data used for analysis
- Ensuring that algorithms generate accurate user recommendations/insights/outputs
- Keep abreast with the latest AI tools relevant to our business domain
- Bachelor’s or master's degree in Computer Science, Statistics or related field
- A Master’s degree in data analytics, or similar will be advantageous.
- 3 - 5 years of relevant experience in deploying AI models to production
- Understanding of data structures, data modeling, and software architecture
- Good knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python/ R
- Proficiency in using query languages, such as SQL
- Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
- Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
- Having knowledge in CI/CD for the building and hosting the solutions
- We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
- Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies.
- Ability to work effectively and independently in a fast-paced agile environment with tight deadlines
- A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.
Libraries, Interface, Language Fundamentals
Data Structures, Algorithms, Collections
Design Patterns, Singletons
Multithreading
Messaging, CI/CD
Databases
Tooling:
Application Layering, Architectural Design
Unit Testing/ Integration Testing
Any Devops tooling experience (Docker/ Kubernates/ Terraforms)
Tool Configuration and Log Monitoring









