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Job Description – Application Engineer

Position: Application Engineer – L1

Locations: Chennai / Delhi NCR / Pune / Ahmedabad

Experience: 2–5 Years

Qualification: B.E. / B.Tech. in Mechanical Engineering

Reporting To: Territory Sales Manager

Travel Requirement: 90% within the assigned territory

Job Summary

We are looking for an Application Engineer responsible for driving sales growth, developing business in assigned markets, and providing technical consultation and application support for adhesive products. The role involves extensive customer interaction, product demonstrations, technical troubleshooting, and building strong relationships with OEMs, institutions, and large manufacturers.

Key Responsibilities

Drive sales growth and business development in assigned focus markets.

Develop strong technical knowledge of adhesive product technologies and applications.

Understand customer requirements and recommend appropriate product solutions.

Provide pre-sales technical consultation and application support.

Conduct product demonstrations and explain technical specifications and applications.

Develop and maintain strong relationships with key decision-makers and influencers at large manufacturers.

Support product specification and approval with institutions and OEMs.

Identify new business opportunities and develop a healthy project pipeline.

Meet prospective clients regularly to understand their requirements and provide suitable solutions.

Provide technical support and troubleshooting for product/application-related issues.

Travel extensively within the assigned territory for customer meetings and business development.

Coordinate with internal teams including Purchase, Accounts, Management, and Reporting Manager to ensure smooth customer support.

Maintain timely and accurate sales reports and ensure adherence to reporting deadlines.

Key Skills & Competencies

Technical Sales & Business Development

Pre-Sales Technical Consultation

Adhesive Product Technology & Applications

Technical Product Demonstration

Technical Support & Troubleshooting

Customer Relationship Management

OEM & Institutional Sales

Project Pipeline Development

Application Engineering

Engineering Principles & Product Specifications

Client Communication & Negotiation

Territory Management

Sales Reporting

Eligibility Criteria

B.E. / B.Tech. in Mechanical Engineering is mandatory.

2–5 years of relevant experience.

Experience in technical sales, application engineering, pre-sales, or technical consultation is preferred.

Strong understanding of product specifications, applications, and engineering principles.

Excellent customer-facing and communication skills.

Willingness to travel approximately 90% within the assigned territory.

Working Conditions

Approximately 90% travel within the assigned territory.

Regular client visits and product demonstrations.

High level of customer interaction and field-based business development.

Position: Oracle DBA

Experience: 6–8 Years

Key Responsibilities:

1. Install, configure, and maintain Oracle databases in production and non-production environments.
2. Perform database tuning, backups, and recovery.
3. Monitor database performance and implement improvements.
4. Ensure data security and compliance with audit requirements.
5. Handle upgrades and patching of database environments.

Skills Required:

1. Strong experience with Oracle 11g/12c/19c.
2. Hands-on with RMAN, Data Guard, and Oracle RAC.
3. Proficient in writing complex SQL and PL/SQL.
4. Oracle Certified Professional (OCP) preferred.

Position: AEM Developer – Backend (Apple)

Locations: Hyderabad, Chennai, Bangalore, Bhubaneswar, Pune, Mumbai

• Interview Rounds: 2 Technical
• Notice Period: Immediate to 30 days

Experience Required

• 7–10 years total IT experience (Minimum 7+ years mandatory)
• 4+ years hands-on experience in AEM Backend
• 4+ years strong Java Core development experience

Key Skills & Responsibilities

• Strong Core Java (Collections, Exception Handling, Design Patterns, Multithreading)
• Hands-on experience with AEM 6.4+
• Expertise in Sling, OSGi, JCR, WCM APIs, Sling Models
• Strong knowledge of Workflows, Workflow Launchers, Event Handlers, Schedulers, Sling Jobs
• Experience in REST APIs, JSON, Lucene Indexing
• Knowledge of Sightly (HTL), Touch UI, Editable Templates, Clientlibs
• Exposure to Coral/Granite UI customization
• Experience with Query Builder, Indexing, Session Handling
• Strong understanding of AEM Security (ACL, SSO)
• Performance tuning: Dispatcher caching, query optimization
• Infrastructure setup: Dispatcher, Apache, Cronjobs
• Experience with TarMK, MongoMK, S3 persistence
• Build & Deployment using Maven, Jenkins, CI/CD
• Experience in AEM upgrades (Service Packs, Version Upgrade, Migration)
• Knowledge of Headless CMS, MSM, API integrations
• Exposure to Automated Testing tools (Junit, Selenium)
• Good understanding of DXP landscape
• Prior Apple project experience is a strong plus

            Responsible of Monitoring Team members’ daily activity

            Responsible for Manage the team, fix performance metrics and periodical performance review

            Responsible for Effectively handle employee grievances and communicate

            Excellent English communication skills- The ability to communicate effectively is a core skill required to be a successful recruiter.

            Responsible for handling IT requirements from US based clients.

            Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

            Sourcing from Job Portals (Monster, Dice, Career builder, Yahoo Hot Jobs), Making job postings on the Job Portal.

            Well versed about US Terms like W2, C2C, 1099, US Visas, etc.

            Responsible to work on Contract, Permanent & C2H (Contract to Hire) positions.

            Responsible for Coordinating fulfillment of other formalities such as background check, drug test etc. leading to joining post placement.

            Responsible for achieving a good conversion ratio of submittals into interview and placement.

            Responsible for Strategy Development process which includes understanding client requirements & mapping the relevant targets.

            Must be having capability to work with a team or individually.

            Maintain close contact with candidates/Vendors/ recruiters/offshore team.

            Publish progress report to management every week.

            Updated about technologies of the Client requirements and knowledge of current IT trends.

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

We are looking for a skilled react.js developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase.

React.js Developer Responsibilities: 

1.     Reviewing application requirements and interface designs.
2.     Identifying web-based user interactions.
3.     Developing and implementing highly responsive user interface components using react concepts.
4.     Writing application interface codes using JavaScript following react.js workflows.
5.     Troubleshooting interface software and debugging application codes.
6.     Developing and implementing front-end architecture to support user interface concepts.
7.     Monitoring and improving front-end performance.
8.     Documenting application changes and developing updates. 

React.js Developer Requirements: 

1.     Previous experience working as a react.js developer.
2.     In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
3.     Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
4.     Experience with user interface design.
5.     Experience with browser-based debugging and performance testing software.
6.     Excellent troubleshooting skills.
7.     Good project management skills.

We are seeking a creative Content Writer to join our Marketing team and help us guide RemitBee into the future. You will be working closely with the Marketing Team to engage our online audiences around the world and build brand awareness through articles, case studies, educational content, and sales copy. Your work will be one of the crucial factors in determining how the business performs. If you are a creative and innovative problem solver, this role is the perfect fit for you. 

Key Responsibilities: 

• Create the following type of content – blog posts, articles, case studies, educational content, PRs, web and ad copy, sales copy, and email copy. 
• Research and analyze data/information about the content topic. 
• Following SEO best practices in the content. 
• Come up with new ideas and suggestions for topics and content. 
• Be up to date with the latest financial and technology news in North America/Canada/Worldwide. 
• Work closely with the marketing/SEO/content teams. 
• Follow the brand guidelines and voice for content production. 
• Other responsibilities as required. 

Required Skills/Qualifications: 

• 2 to 3 years minimum of professional writing experience 
• Experience in Journalism is a must  
• Fluent in written English, Punctuation, and Grammar 
• A strong portfolio of various content, preferably in the financial or technological domain. 
• A keen eye for aesthetics and details. 
• Excellent communication skills. 
• Use Google Trends 
• Highly organized, with a proven ability to meet deadlines in a demanding environment. 
• Ability to communicate and present ideas and rationales. 
• An ability to self-motivate and be team-centric. 
• Ability to prioritize and manage workload across multiple simultaneous tasks, in a fast-paced work environment, while ensuring delivery of high-quality work and meeting timelines. 
• Experience working with different teams and multiple stakeholders in an agile environment 

Nice to have: 

• Post-secondary degree 
• Publications  
• Technical writing experience 
• Experience working with SEO requirements and being able to perform keyword research 
• Sales/ad copy experience

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.