Java Technical Architect

Job description

🔧 Key Responsibilities:

• Design and implement robust backend services using Node.js.
• Develop and maintain RESTful APIs to support front-end applications and third-party integrations
• Manage and optimize SQL/NoSQL databases (e.g., PostgreSQL, MongoDB, Snowflake)
• Collaborate with front-end developers to ensure seamless integration and data flow
• Implement caching, logging, and monitoring strategies for performance and reliability
• Ensure application security, scalability, and maintainability
• Participate in code reviews, architecture discussions, and agile ceremonies

✅ Required Skills:

• Proficiency in backend programming languages (Node.js, Java, .NET Core)
• Experience with API development and tools like Postman, Swagger
• Strong understanding of database design and query optimization
• Familiarity with microservices architecture and containerization (Docker, Kubernetes)
• Knowledge of cloud platforms (Azure, AWS) and CI/CD pipelines.

Job Description: 

Why are we here?

We are looking for a Fullstack Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include implementing visual elements and their behaviors with user interactions. You will work with both front-end and back-end web developers to build all client-side logic. You will also be bridging the gap between the visual elements and the server-side infrastructure, taking an active role on both sides, and defining how the application looks and functions. You will be boarded into the team that manages higher secondary school projects on the Salesforce stack. You will be given an opportunity to learn the entire ecosystem of salesforce.

Mandatory skills to have/ Responsibilities:

● Overall 4+ years of experience and a strong understanding of JavaScript, its quirks, and workarounds. 

● Good understanding of web markup, including HTML5 and CSS3. 

● Strong hands-on experience with advanced JavaScript libraries and frameworks such as AngularJS or Angular 2+ etc.

● Understanding of Software Design Patterns. 

● Good understanding of AJAX, REST APIs, Remote functions, and prior development experience in building the same. 

● Proficient understanding of cross-browser compatibility issues and ways to work around such issues. 

● Familiarity with front-end build tools, such as Grunt and GulpJs. 

● Proficient understanding of code versioning tools, such as Git.

Good to have:

● Hands-on experience in Python

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

• SAP Real Estate Management (SAP REM)/ RE-FX
• SAP REM – need a very strong senior-level SAP Real Estate experience immediately
• Should be able to identify, design and configure SAP Real Estate management. Can act as a lead and run client workshops. # of resources required = 1
• SAP Flexible Real Estate Management (REFX) module – configuration and enhancement, integration with SAP FI/CO/PM/PS, Record & Case Management, reporting in BW system.
• Integration of RE-FX/FI-AA/PM with Geo enablement & maps.
• ABAP development: SAP Data Dictionary, SAP Functions (local and RFC), BAPI, custom ALV reports and data upload programs, User Exits, BAdI, Adobe PDF forms.

• 3 + years expertise in Python 3.7, Django 2 (or Django 3).

• Familiarity with some ORM (Object Relational Mapper) libraries.

• Able to integrate multiple data sources and databases into one system.

• Integration of user-facing elements developed by front-end developers with server-side logic in Django (RESTful APIs).

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills.

• Proficient understanding of code versioning tools such as Git.

The desirablesoptionals

• Django Channels, Web Sockets, Asyncio.

• Experience working with AWS or similar Cloud services.

• Experience in containerization technologies such as Docker.

• Understanding of fundamental design principles behind a scalable application (caching, Redis)

At Testing Ground, we are looking for a person who is highly passionate about technology and automation with a focus on value-driven deliverables, wants to work, learn, and expand their capability into the start-up domain.

This role is a great fit for someone who enjoys technology, project management, process improvement, and fast pace environment.

Apply to the link below and get in touch with now!

SKILLS REQUIRED (BACKEND ENGINEER)

• A person should have a sense of ownership, hold accountability for the task allocated with a data and results-driven attitude
• Have Knack over the bigger picture while building the technology with a keen eye over the minute details
• Proficient knowledge of Backend Programming language/framework and Security Compliance
• Must be experienced in designing and building Video Platforms with live streaming features
• A person with a growth mindset, who demonstrate strong initiative for building up your own skills
• In the ability to take existing models and best practices and adapt them to our environment
• Must know agile Data Analytics tools and cloud technology with back end integration
• Must know multiple systems, servers, data sources, analytics, and management with an ability to design dashboard with plugins

ROLES AND RESPONSIBILITIES

• Build and Design models from scratch and help product managers and stakeholders understand results
• Integration of user-facing elements developed by front-end developers with server-side logic
• Design, implement and optimize the application for maximum speed and scalability
• Management of hosting environment, Data migration, transformation, and scripting
• Streamline the process, ensuring integration and deployment of AI-driven models
• Set up and manage production infrastructure with the implementation of data storage solutions
• Help business stakeholders understand the limitations and consequences of various alternatives when planning
• Design Video making platform with a live streaming technology solution to integrate it with product
• Build data ingest and data transformation infrastructure
• Suggest creative and noble ideas to design a disruptive technology solution

BENEFITS

Remote Work | Flexibility | Flat Structure | Entrepreneurial Culture

A high degree of value on Autonomy, Flexibility, Empathy, and Mobility

An awesome work culture which has an agile team with a growth mindset