Software Development Engineer in Test - Level III

A Day in the Life

As a Backend Developer, you will be responsible for building and maintaining secure, scalable, and high-performance backend systems that power our fintech products. You'll collaborate closely with product managers, frontend developers, QA engineers, and DevOps teams to design APIs, integrate third-party services, troubleshoot production issues, and deliver reliable solutions that enhance the customer experience.

Key Responsibilities

Design, develop, test, and maintain backend applications using C# and .NET/.NET Core.

Build and optimize RESTful APIs and microservices.

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Integrate with third-party systems, payment gateways, and external APIs.

Write clean, maintainable, and well-documented code following best practices.

Troubleshoot, debug, and resolve application issues in development and production environments.

Optimize application performance, scalability, and security.

Participate in code reviews and contribute to continuous improvement initiatives

Basic Qualifications & Skills

Bachelor's degree in Computer Science, Information Technology, or a related field.

1+ years of experience in backend development.

Hands-on experience with C#, .NET/.NET Core, ASP.NET Web APIs, and Entity Framework.

Strong understanding of relational databases such as SQL Server, MySQL, or PostgreSQL.

Knowledge of REST APIs, authentication mechanisms, and API security.

Familiarity with version control systems such as Git.

Strong analytical and problem-solving skills.

Good communication and collaboration abilities.

About the role:

 Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture.

Here’s what will be expected out of you:

➢ Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities.

➢ Develop data pipelines that make data available across platforms.

➢ Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform.

➢ Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines.

➢ Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services.

What we want:

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.

➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.

➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).

➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.

➢ Good understanding of orchestration tools like Airflow.

 ➢ Strong Python and SQL coding skills.

➢ Strong Experience in distributed systems like spark.

➢ Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc).

➢ Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction.

Note :

Product based companies, Ecommerce companies is added advantage

Role : AIML Engineer

Location : Madurai

Experience : 5 to 10 Yrs

Mandatory Skills : AIML, Python, SQL, ML Models, PyTorch, Pandas, Docker, AWS

Language: Python

DBs : SQL

Core Libraries:

Time Series & Forecasting: pmdarima, statsmodels, Prophet, GluonTS, NeuralProphet

SOTA ML : ML Models, Boosting & Ensemble models etc.

Explainability : Shap / Lime

Required skills:

• Deep Learning: PyTorch, PyTorch Forecasting,
• Data Processing: Pandas, NumPy, Polars (optional), PySpark
• Hyperparameter Tuning: Optuna, Amazon SageMaker Automatic Model Tuning
• Deployment & MLOps: Batch & Realtime with API endpoints, MLFlow
• Serving: TorchServe, Sagemaker endpoints / batch
• Containerization: Docker
• Orchestration & Pipelines: AWS Step Functions, AWS SageMaker Pipelines

AWS Services:

• SageMaker (Training, Inference, Tuning)
• S3 (Data Storage)
• CloudWatch (Monitoring)
• Lambda (Trigger-based Inference)
• ECR, ECS or Fargate (Container Hosting)

Minimum 2 years of web and mobile product design experience.

Proficiency in Design Thinking, User Research, and creating case studies.

Strong communication, teamwork, and proficiency in design tools (Figma, Adobe XD, Sketch).

Thorough understanding of user-centered design principles and front-end technologies impacting UI/UX.

Company Description

Web Glaze Services is an IT company based in New Delhi. We specialize in web development, digital marketing, print media, and app services. With over 8 years of experience, we have successfully delivered more than 500 websites and have expertise in SEO/SMO to help establish your brand. Our team of dedicated professionals is committed to providing top-quality IT services with 24/7 support.

Role Description

This is a full-time on-site role for a Sales Executive at Web Glaze Services. As a Sales Executive, your main responsibility will be to generate new leads and maintain relationships with existing clients. Specifically, you will focus on sales for our education portal, which includes calling and building relationships with schools and parents. Additionally, you will be responsible for meeting sales targets, conducting sales presentations, negotiating contracts, and providing excellent customer service. You will also be expected to analyze market trends to identify opportunities for growth and to develop strategies to improve sales performance.

Qualifications

• Minimum 1 to 2 years of proven experience in sales, preferably in the IT or education industry
• Excellent communication and interpersonal skills
• Strong negotiation and persuasion abilities
• Ability to build and maintain client relationships
• Knowledge of web development and digital marketing services
• Self-motivated with a results-driven approach
• Degree in Business Administration or related field
• Fluency in English and Hindi

You will be responsible for:

• Managing all DevOps and infrastructure for Sizzle
• We have both cloud and on-premise servers
• Work closely with all AI and backend engineers on processing requirements and managing both development and production requirements
• Optimize the pipeline to ensure ultra fast processing
• Work closely with management team on infrastructure upgrades

You should have the following qualities:

• 3+ years of experience in DevOps, and CI/CD
• Deep experience in: Gitlab, Gitops, Ansible, Docker, Grafana, Prometheus
• Strong background in Linux system administration
• Deep expertise with AI/ML pipeline processing, especially with GPU processing. This doesn’t need to include model training, data gathering, etc. We’re looking more for experience on model deployment, and inferencing tasks at scale
• Deep expertise in Python including multiprocessing / multithreaded applications
• Performance profiling including memory, CPU, GPU profiling
• Error handling and building robust scripts that will be expected to run for weeks to months at a time
• Deploying to production servers and monitoring and maintaining the scripts
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Expertise in Docker-based virtualization including - creating & maintaining custom Docker images, deployment of Docker images on cloud and on-premise services, monitoring of production Docker images with robust error handling
• Expertise in AWS infrastructure, networking, availability

Optional but beneficial to have:

• Experience with running Nvidia GPU / CUDA-based tasks
• Experience with image processing in python (e.g. openCV, Pillow, etc)
• Experience with PostgreSQL and MongoDB (Or SQL familiarity)
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Bachelors or Masters degree in computer science or related field
• Ideally a gamer or someone interested in watching gaming content online

Skills:

DevOps, Ansible, CI/CD, GitLab, GitOps, Docker, Python, AWS, GCP, Grafana, Prometheus, python, sqlalchemy, Linux / Ubuntu system administration

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience: 3 years to 6 years

For Females Category

Excellent Verbal Communication Skills

We are currently looking for "Business Development Consultant" for US IT staffing for our branch office in Noida, UP.

• Timings are fixed Night shifts (9:00 pm to 6:00 am) with Saturday and Sunday Off
• Both side cab facility.
• In-House Meals are available.

Company Website links:

www.headfield.com

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

• Inbound/Outbound Calls II Good Communication
• Inform Customers about the Company's Products/Services and Offers
• Manage Inbound/ Outbound Customer calls in a Timely Manner
• Generate Leads That Develop Into New Customers
• Identify Customer's Needs and Convince the Customer to Buy the Product/Service
• Gain Comprehensive Product/Service Knowledge and Clarify Information Wherever Required