
- Solid understanding of Data structures and Algorithms.
- Exceptional coding skills in an Object-Oriented programming language (Golang/Python)
- Must have basic understanding of AWS (EC2, Lambda, Boto, CI/CD), Celery, RabbitMq and similar task queue management tools/libraries.
- Experience with web technologies Python, Linux, Apache, Solr, Memcache, Redis, grpc
- Experience with high performance services catering to millions of daily traffic is a plus
- Strong understanding of Python and Django.
- Good knowledge of various Python Libraries, APIs, and tool kits.
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3.
- Proficient understanding of code versioning tools such as Git.
- Understanding of the threading limitations of Python, and multi-process architecture
- Understanding of databases and MySQL
Responsibilities :
- Comply with coding standards and technical design.
- Adapts structured coding styles for easy review, testing, and maintainability of the code.
- Active participation in troubleshooting and debugging.
- Preparing technical documentation of code.

About Enalo Technologies Private Ltd.
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Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)
Experience : 4 to 8 Years
Location : Gurgaon Sector - 43
Employment Type : Full-time
Job Summary :
We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.
The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.
Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.
Key Responsibilities :
- Develop, optimize, and maintain backend services using Python (FastAPI, Django).
- Design and implement API endpoints for high-performance and secure data exchange.
- Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
- Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
- Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
- Optimize backend performance for scalability and reliability in AI-driven applications.
- Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
- Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.
Required Skills & Qualifications :
- 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
- Proficient in FastAPI and Django frameworks for API and backend development.
- Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
- Familiarity with machine learning model lifecycle and integration into production systems.
- Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
- Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
- Exposure to CI/CD pipelines and DevOps tools.
- Good understanding of Git, version control, and testing frameworks.
Nice to Have :
- Experience with LangChain, Hugging Face, or similar LLM frameworks.
- Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
- Understanding of vector databases (Pinecone, Chroma, etc.).
Education :
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Job Description: We are looking for a talented and motivated Software Engineer with
expertise in both Windows and Linux operating systems and solid experience in Java
technologies. The ideal candidate should be proficient in data structures and algorithms, as
well as frameworks like Spring MVC, Spring Boot, and Hibernate. Hands-on experience
working with MySQL databases is also essential for this role.
Responsibilities:
● Design, develop, test, and maintain software applications using Java technologies.
● Implement robust solutions using Spring MVC, Spring Boot, and Hibernate frameworks.
● Develop and optimize database operations with MySQL.
● Analyze and solve complex problems by applying knowledge of data structures and
algorithms.
● Work with both Windows and Linux environments to develop and deploy solutions.
● Collaborate with cross-functional teams to deliver high-quality products on time.
● Ensure application security, performance, and scalability.
● Maintain thorough documentation of technical solutions and processes.
● Debug, troubleshoot, and upgrade legacy systems when required.
Requirements:
● Operating Systems: Expertise in Windows and Linux environments.
● Programming Languages & Technologies: Strong knowledge of Java (Core Java, Java 8+).
● Frameworks: Proficiency in Spring MVC, Spring Boot, and Hibernate.
● Algorithms and Data Structures: Good understanding and practical application of DSA
concepts.
● Databases: Experience with MySQL – writing queries, stored procedures, and performance
tuning.
● Version Control Systems: Experience with tools like Git.
● Deployment: Knowledge of CI/CD pipelines and tools such as Jenkins, Docker (optional)
Job Description:-
Design, develop IoT/Cloud-based Typescript/ JavaScript/ Node.JS applications using
Amazon Cloud Computing Services.
Work closely with onsite, offshore, and cross functional teams, Product Management, UI/UX developers, Web and Mobile developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery of IoT applications
Bug and issue resolution
Proactively Identify risks and failure modes early in the development lifecycle and develop.
POCs to mitigate the risks early in the program.
Assertive communication and team skills
Primary Skills:
Hands on experience (3+ years) in AWS cloud native environment with work experience in
AWS Lambda, Kinesis, DynamoDB
3+ years’ experience in working with NodeJS, Python, Unit Testing and Git
3+ years in work experience with document, relational or timeseries databases
2+ years in work experience with typescript.
1+ years in IaaS framework like Serverless or CDK with CloudFormation knowledge
Requirement:
- Min 2-3 Year Experience. Preferably in the E-commerce domain.
- Proficient with both MySQL and NoSql Databases (Elastic, Mongo)
- Strong hold on PHP and preferably good knowledge of Python
- Experience with JavaScript/JQuery
- Ability to do software design for a enterprise web application
- Working knowledge of a MVC front-end framework
- Proficient in HTTP protocol, REST APIs, JSON
- Ability to do database design and modeling
- Proficient in OOPS concepts and writing code using classes
- Ability to write modular and clean code
Role:
- Software Development of various product line
- Creation web-services and optimization for existing and new feature rollouts
- Collaborate with Product Managers and design solutions
- Develop very high sense of ownership, the zeal to build scalable applications
- Build customer facing technology product
- Individual Contributor
Elastic is a search company built on a free and open heritage. Anyone can use Elastic products and solutions to get started quickly and frictionlessly. Elastic offers three solutions for enterprise search, observability, and security, built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe and is publicly traded on the NYSE under the symbol ESTC. Learn more at https://www.elastic.co/">elastic.co.
The Observability team is in charge of developing solutions that focus on application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, and application traces, supporting the three pillars of observability. The Observability team builds and maintains solutions that make getting insights from this data turnkey and efficient, such as our https://www.elastic.co/solutions/apm">APM, https://www.elastic.co/solutions/metrics">Infrastructure Monitoring, and https://www.elastic.co/uptime-monitoring">Synthetics solutions. When developing these solutions, we think about the problem end-to-end: how do we automatically collect data from common data sources, how do we store it efficiently in Elasticsearch, how do we present this information to the user, what actions do we take on the insights from the data? All of these aspects are important in bringing a turnkey solution to the market.
You will be working on Observability Integrations to collect logs and metrics from all the systems that matter to our users, using the current and next generation of data shippers: Beats and the new Elastic Agent.
Job Location : Bangalore, India
What you will be working on
- Work with product management to define the requirements for new https://github.com/elastic/integrations">integrations: data collection strategies, storage optimization, alerting and visualization options, refining requirements, translating requirements to stories and epics, and performing detailed scoping of features
- Develop, maintain and evolve https://github.com/elastic/integrations">integrations for multiple services using the Elastic Stack and https://github.com/elastic/elastic-package">specific tooling. For some projects, contributions to the https://github.com/elastic/beats">beats platform will be needed (Go).
- Work with our support team to help customers troubleshoot and solve their issues in production environments, ensuring SLAs are met.
- Interact with the community and help them use our products.
- Collaborate with other engineering, QA and documentation teams to execute on product deliverables.
What you will bring along
- Experience operating or developing monitoring products, such as Elastic (ELK, Elastic Observability), Prometheus, Grafana, ELK, Datadog, New Relic, etc.
- Proficiency in at least one programming language (Go, Java, PHP, Python, Ruby, C++, we use Go) with strong analytical, debugging, and troubleshooting skills.
- Excellent verbal and written communication skills and ability to work in a distributed team.
- Experience participating in technical decision-making across different engineering teams.
Bonus Skills
- Interest in learning new technologies.
- Experience contributing to open source projects.
- Hands-on experience managing cloud services at scale.
- Experience in SRE and / or DevOps roles.
- Experience monitoring or operating container orchestrators (Kubernetes, etc).
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Double your charitable giving - We match up to $1500 (or local currency equivalent)
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
✔ Defining the over all architecture and choose the best stack, components, and
subsystems for search & storage infrastructure
✔ Design & build user-friendly APIs for accessing the backend infrastructure
✔ Active mentoring on engineering best practices, reducing technical debt and
designing scale ready solutions.
✔ Proactively identify architectural gaps and enhancements and recommending
appropriate solutions.
✔ Work closely with the product and customer teams to effectively drive innovative
solutions and drive adoption of features.
Requirements
✔ Experience level 4+ years.
✔ A bachelor's or master’s degree in Computer Science/Software Engineering
✔ Production experience with a scalable search engine or building storage
infrastructure for scaled out consumer companies.










