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C#
Python
JavaThe Cyber Security Analyst will help to assess, plan, and enact security measures to protect the Hubbell organization from security breaches and attacks on its computer networks and systems. This job involves simulating attacks to identify vulnerabilities, testing new software to help protect the
company & data, and assisting users in adhering to new regulations and processes to ensure safety and compliance. The Cyber Security Analyst will work as part of the Security Operations team to execute, monitor and report-out on the scheduled tasks associated with maintaining the overall cyber hygiene for the company
Respond and investigate security breaches and other cybersecurity incidents.
Install security measures and operate software to protect systems and information infrastructure, including firewalls and data encryption programs.
Work in conjunction with the cybersecurity team to develop automation for scheduled tasks and reporting
Respond to specific threats, evaluating company exposure, and risk.
Assist in the execution of penetration testing.
Research security enhancements and make recommendations to management.
Stay up to date on cybersecurity trends, threats, and remediation
Attend daily security operations meetings
Qualifications
A degree in Computer Science, IT, Systems Engineering or a related qualification
2-3 years of experience with software development in C-Sharp, Python or Java
2 years of experience with scripting tools such as PowerShell, Unix Bash and Bourne
Familiarity with patch management
Familiar with common cyber frameworks and tools such as NIST and MITRE Attack
Awareness of common cybersecurity threats and hacking methodologies
Preferred
Previous experience with Incident response and forensics
Knowledge Network security and segmentation
.NET
Amazon Web Services (AWS)C#
React.jsJob Description -
Profile: .Net Full Stack Lead
Experience Required: 7–12 Years
Location: Pune, Bangalore, Chennai, Coimbatore, Delhi, Hosur, Hyderabad, Kochi, Kolkata, Trivandrum
Work Mode: Hybrid
Shift: Normal Shift
Key Responsibilities:
- Design, develop, and deploy scalable microservices using .NET Core and C#
- Build and maintain serverless applications using AWS services (Lambda, SQS, SNS)
- Develop RESTful APIs and integrate them with front-end applications
- Work with both SQL and NoSQL databases to optimize data storage and retrieval
- Implement Entity Framework for efficient database operations and ORM
- Lead technical discussions and provide architectural guidance to the team
- Write clean, maintainable, and testable code following best practices
- Collaborate with cross-functional teams to deliver high-quality solutions
- Participate in code reviews and mentor junior developers
- Troubleshoot and resolve production issues in a timely manner
Required Skills & Qualifications:
- 7–12 years of hands-on experience in .NET development
- Strong proficiency in .NET Framework, .NET Core, and C#
- Proven expertise with AWS services (Lambda, SQS, SNS)
- Solid understanding of SQL and NoSQL databases (SQL Server, MongoDB, DynamoDB, etc.)
- Experience building and deploying Microservices architecture
- Proficiency in Entity Framework or EF Core
- Strong knowledge of RESTful API design and development
- Experience with React or Angular is a good to have
- Understanding of CI/CD pipelines and DevOps practices
- Strong debugging, performance optimization, and problem-solving skills
- Experience with design patterns, SOLID principles, and best coding practices
- Excellent communication and team leadership skills
.NETAmazon Web Services (AWS)• Minimum 4+ years of years
• Experience in designing, developing, and maintain backend services using C# 12 and .NET 8 or .NET 9
• Experience in building and operating cloud native and serverless applications on AWS
• Experience in developing and integrating services using AWS lambda, API Gateway , dynamo DB, Eventbridge, CloudWatch, SQS, SNS, Kinesis, Secret Manager, S3 storage, server architectural models etc.
Experience in integrating services using AWS SDK
• Should be cognizant of the OMS paradigms including Inventory Management, Inventory publish, supply feed processing, control mechanisms, ATP publish, Order Orchestration, workflow set up and customizations, integrations with tax, AVS, payment engines, sourcing algorithms and managing reservations with back orders, schedule mechanisms, flash sales management etc.
• Should have a decent End to End knowledge of various Commerce subsystems which include Storefront, Core Commerce back end, Post Purchase processing, OMS, Store / Warehouse Management processes, Supply Chain and Logistic processes. This is to ascertain candidates knowhow on the overall Retail landscape of any customer.
• Strong knowledge in Querying in Oracle DB and SQL Server
• Able to read, write and manage PLSQL procedures in oracle.
• Strong debugging, performance tuning and problem solving skills
• Experience with event driven and micro services architectures
Spring Boot
GitHubWe are seeking a skilled Full-stack developer. As a Full-stack developer, you will collaborate with an international cross-functional teams to design, develop, and deploy high-quality software solution.
Responsibilities:
Design, develop, and maintain the application.
Write clean, efficient, and reusable code.
Implement new features and functionality based on business requirements.
Participate in system and application architecture discussions.
Create technical designs and specifications for new features or enhancements.
Write and execute unit tests to ensure code quality.
Debug and resolve technical issues and software defects.
Conduct code reviews to ensure adherence to best practices.
Identify and fix vulnerabilities to ensure application integrity.
Working with the product owner to ensure seamless integration of user-facing elements.
Collaborating with DevOps teams for deployment and scaling.
Requirements:
Bachelor’s degree in computer science or information technology, or a related field.
Proven experience as a skilled Full-stack developer. Experience in Insurance domain is appreciated.
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities to work effectively in a team environment.
Strong experience with Spring Boot 3, Java 17 or newer and Maven.
Skills & Requirements
Angular 18+, GitHub, IntellJ IDEA, Java 11+, Jest, Kubernetes, Maven, Mockito, NDBX/ng-aquila, NGRX, Spring Boot, State Management, Typescript, Playwright, PostgreSQL, Sonar, Swagger, AWS, Camunda, Dynatrace, Jenkins, Kafka, NGXS, Signals, Taly.
HHYS Inframart is a multi-division building materials showroom dealing in Electrical & Fancy Items, Paints, Hardware, Interiors, Steel & Cement, Metals & Fabrication, Tiles, and Bath Fittings. We are currently hiring Sales Advisors specifically for our Bath and Tiles Division to strengthen customer experience and boost sales in this category.
Key Responsibilities:
- Welcome customers and understand their bath & tile requirements
- Suggest suitable options based on design preferences, budget, and functionality
- Explain features, durability, styles, and brands of tiles and sanitaryware
- Provide support in preparing quotations and assisting in final order confirmation
- Coordinate with warehouse/supply team for product availability and delivery timelines
- Maintain attractive product displays and samples in the bath & tile section
- Follow up on inquiries, quotations, and pending orders
- Keep updated with new arrivals, offers, and product specifications
- Build strong relationships with walk-in customers, interior designers, and contractors
🧠 Skills & Qualifications:
- 1–3 years of experience in showroom sales, preferably in bath fittings or tile retail
- Strong product knowledge in sanitary ware, faucets, tiles, or interior finishes is an advantage
- Excellent communication and customer handling skills
- Basic billing/invoicing knowledge preferred
- Fluent in local language; Malayalam
- Minimum qualification: 12th pass (Graduation preferred)
Data Science
Machine Learning (ML)
Deep LearningJob Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
A Desktop Support Engineer is responsible for providing technical support for computer hardware and software issues in an organization's desktop environment. The role involves assisting employees with troubleshooting, maintaining, and resolving issues related to their desktops, laptops, and peripherals.
Job Summary:
- Hardware Support:
- Install, configure, and maintain desktops, laptops, and peripherals (printers, monitors, etc.).
- Perform hardware repairs and upgrades.
- Software Support:
- Troubleshoot and resolve software-related issues, including OS installations, software updates, and application support.
- Ensure proper functioning of office productivity software (MS Office, etc.) and enterprise applications.
- Network Support:
- Provide assistance in connecting workstations to the company network and resolving connectivity issues.
- Troubleshoot network-related issues on desktops and laptops.
- User Support:
- Assist employees with troubleshooting technical problems, including login issues, system crashes, and application errors.
- Offer guidance on proper system usage and IT best practices.
- System Maintenance:
- Regularly update and patch desktop systems to ensure security and functionality.
- Backup important files and data as per company policy.
- Documentation:
- Maintain logs of issues, solutions, and configurations for future reference.
- Document common problems and resolutions for knowledge-sharing purposes.
- Customer Service:
- Provide excellent customer service and maintain a professional demeanor when dealing with users' technical issues.
Key Skills:
- Technical Knowledge: Proficient in desktop operating systems (Windows, Mac OS, Linux) and office software.
- Problem-Solving: Ability to diagnose and resolve technical issues efficiently.
- Communication: Strong verbal and written communication skills to interact with end-users.
- Networking Basics: Understanding of network configurations and troubleshooting.
- Time Management: Capable of handling multiple requests and prioritizing tasks.
As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.
Roles and Responsibilities:
- Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
- Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
- Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
- Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
- Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
- Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
- Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.
Requirements:
- Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
- Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
- Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
- Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
- Proven ability to translate complex data into actionable insights for stakeholders.
- Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
- Comfortable working under tight deadlines and strong attention to detail.
- Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
- Knowledge of GDPR, PECR, and other relevant privacy regulations.
Google AnalyticsWe are all in the quest to create a positive movement, a movement aimed at reducing the gap between a consumer & a farmer, a movement that gives consumers access to safe & non-toxic farmer's produce, a movement that is uplifting the farmer community.
Today we are proud to say that we are connecting 1500+ farmers to urban consumers. We envisage our brand to go global soon, post creating a cemented presence in India.
We are not looking for job-seekers, we are looking for impact-creators with a go-getter attitude. We are looking for dynamic individuals who are honestly driven by the cause and are customer-obsessed, be it our end-user, farmer, vendor, or even our internal community.
Key Responsibilities:
- Plan, test, and execute mobile app marketing campaign and are responsible for Web/App Growth.
- Develop and execute App Store Optimization strategies
- Manage all digital marketing channels (e.g. Mobile, blogs, and social media) to ensure brand consistency
- Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
- Develop specific campaigns to create and maintain high levels of customer interaction
- Oversee our social media accounts
- Plan, execute, and measure experiments and conversion tests
- Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
- Forecast sales performance trends and act proactively to increase our market segment
- Liaise with Product, Design teams to increase client satisfaction through cohesive strategies. Monitor competition and provide ideas to stand out
- Stay up-to-date with digital technology developments
Candidate Profile:
The ability to think strategically and drive execution is essential. Ideally, we are looking for a Mobile Marketing professional who has planned and managed marketing campaigns that promote a company's brand. Also worked on planning campaigns, analyzing metrics and Identifying trends.
- 3 - 5 years of experience in Mobile marketing campaigns, google ad words, social media and display advertising
- Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform, and motivate
- Experience in optimizing landing pages and user funnels
- Experience with A/B (Multivariate experiments)
- Knowledge of website analytics tools (e.g. Google Analytics, Branch,Appsflyer and others).
- Working experience with creative and marketing agencies
- Experience in setting up and optimizing Google Ad words campaigns Strong analytical skills and data-driven thinking
PythonReact.js
Git
JavascriptAmazon Web Services (AWS)Causality Biomodels is an Indo-German life science informatics company that focuses on the development of data-based solutions in the bioinformatics sector. Specifically, we work using semantic integration & information extraction methods, knowledge & data organization, and advanced statistical & machine learning techniques in the context of life sciences.
The team Causality Biomodels is searching for a full stack developer with a strong focus on Python, capable of taking on a lead developer role.
You will be mainly focusing on the following areas:
- Implementing new features by modifying our backend system and UI according to the product backlog and discussions with the team.
- Rapid prototyping to explore new directions based on current research developments.
- Design, development and maintenance of APIs, as well as product and add-on components.
- Maintenance of code integrity and organization.
The requirements are:
- Successfully completed bachelor’s or master’s degree in computer science or in related fields such as Bioinformatics.
- At least 2 years of professional software engineering experience.
- High proficiency in Python and ability to write clean and well-documented code (must).
- Experience with cloud-based development using AWS (preferred), GCP or Azure.
- Experience with Docker and container-based deployment.
- Proficiency in JavaScript.
- Experience with at least one database system (SQL or no-SQL).
- High familiarity with Git.
- Experience with agile development practices.
- Experience with CI/CD and automated testing.
- Very strong English skills (both verbal and written).
Bonus points for:
- Knowledge about machine learning or data science.
- Experience with Python packages SpaCy, scikit-learn, flask and fastapi.
- Experience with JavaScript libraries React and Redux/Context.
- Experience with Gitlab CI/CD pipelines.
- Experience working with knowledge graph data.
- Knowledge and experience in bioinformatics methods.
NodeJS (Node.js)React.js
Express
MongoDB
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