Backend Engineer

🌟 We’re Hiring: Academic Mentor (B2C Sales)

📍 Location: HSR Layout, Bangalore | 💼 Onsite, 6 Days a Week

💰 CTC: ₹3.6 LPA–₹5.47 LPA (Fixed) + Uncapped Monthly Incentives (Up to 700%)

💥 Saturday Hustle Bonus Included!

Are you ready to be the catalyst in someone’s learning journey while driving your own growth through performance and passion? At Simplilearn, we’re looking for driven individuals who thrive in fast-paced conversations, believe in the power of upskilling, and love the thrill of closing a deal with purpose.

🧭 What You’ll Do

• Inspire learners and guide them toward the right career choices through insightful consultations.
• Own your leads and drive conversions—no scripts, just smart selling and real conversations.
• Smash your monthly goals and get rewarded with game-changing incentives.

💡 Who You Are

• A go-getter with a minimum of 6 months of inside sales experience (any industry).
• Possess a Bachelor's degree and the drive to make your mark in EdTech.
• Communicate like a pro—confident, clear, and convincing.
• Comfortable working onsite from our HSR Layout campus.
• 💯 Ready for a face-to-face interview only—no virtual steps here.

🗓 Work Days: Monday to Saturday (with extra pay for your Saturday commitment)

🧭 Interview Mode: Walk-in/Face-to-face only

Job Summary:

We are seeking an experienced Tableau Server Administrator to manage, maintain, and optimize our multi-node, on-premise Tableau Server environment. The ideal candidate will have strong expertise in Tableau Server architecture, installation, upgrades, and troubleshooting, as well as ensuring its scalability, performance, and security. This role will also involve collaboration with business intelligence teams to support Tableau dashboards and workflows.

Key Responsibilities:

Tableau Server Installation & Configuration:

1. Manage multi-node, on-premise Tableau Server deployment and configuration.
2. Install and upgrade Tableau Server across environments (Development, QA, Production).
3. Configure and maintain Tableau Server processes, services, and configurations for optimal performance.

Performance Monitoring & Optimization:

1. Monitor server performance, disk space, and log files to ensure availability and efficiency.
2. Conduct capacity planning and fine-tune server resources (e.g., CPU, RAM, and disk utilization) to support increasing workloads.
3. Optimize Tableau extracts, data connections, and server processes for improved speed and efficiency.

User Management & Security:

1. Manage user accounts, groups, roles, and permissions in Tableau Server.
2. Implement and enforce security protocols for data, content, and access controls.
3. Collaborate with IT teams to ensure compliance with organizational security policies.

Troubleshooting & Issue Resolution:

1. Diagnose and resolve Tableau Server-related issues, including downtime, errors, and performance bottlenecks.
2. Work with Tableau Support to address critical incidents and escalations.

Automation & Scripting:

1. Automate administrative tasks using Tableau Server Command Line (tabcmd) and REST APIs.
2. Schedule and monitor Tableau extract refreshes, subscriptions, and workflows.

Collaboration with Stakeholders:

1. Work closely with BI developers, data engineers, and analysts to support Tableau content publishing and troubleshooting.
2. Assist in creating governance standards for Tableau content and server usage.

Data Connectivity & Integration:

1. Maintain and troubleshoot Tableau Server connections to various data sources, such as SQL databases, flat files, and APIs.
2. Collaborate with data teams to ensure high availability and data accuracy.

Upgrades, Patches & Backups:

1. Plan and execute Tableau Server upgrades, patches, and backups with minimal disruption to operations.
2. Implement disaster recovery plans and strategies for Tableau Server.

Documentation & Reporting:

1. Maintain detailed documentation for server configurations, upgrade logs, and processes.
2. Create usage reports, server activity logs, and audit trails for stakeholders.

Required Skills & Qualifications:

Technical Expertise:

• Strong experience with Tableau Server administration in a multi-node, on-premise environment.
• Proficiency in Tableau Desktop, Tableau Prep, and Tableau Server tools (tabcmd, TSM, REST API).
• Knowledge of Windows Server/Linux administration and networking concepts.
• Familiarity with scripting languages (Python, PowerShell, or Bash) for automation.

Database & Data Integration Skills:

• Experience with relational databases like SQL Server, PostgreSQL, Oracle, or MySQL.
• Knowledge of data extraction, ETL processes, and integrating Tableau with enterprise data sources.

Performance Tuning:

• Expertise in optimizing Tableau extracts, dashboards, and server configurations for high performance.

Problem-Solving Skills:

• Ability to troubleshoot server issues and resolve them efficiently.

Soft Skills:

• Excellent communication and collaboration skills.
• Strong organizational skills with attention to detail.

Preferred Qualifications:

• Tableau Server Certified Associate or Certified Professional certification.
• Experience managing Tableau in high-availability and disaster recovery scenarios.
• Familiarity with Tableau Cloud or hybrid Tableau environments.
• Knowledge of load balancing, SSL certificate configuration, and Active Directory integration.

Benefits:

• Competitive salary and performance-based incentives.
• Opportunities for professional development and Tableau certifications.
• Flexible working hours and hybrid working options (if applicable).
• Access to cutting-edge BI tools and resources.

Required Skills

• 4-6 years of professional experience building server applications with Node.js and the Spring framework.
• Experience working with the AWS Development stack, including: Lambda, API Gateway, DynamoDB, Cognito, Mobile Analytics, EC2 and RDS

Experience working with a handful of the following:

• relational databases: MySQL, or PostgreSQL or Oracle
• document-based data stores: MongoDB or CouchDB,
• key-value stores: DynamoDB, Redis, Memcached
• column-stores: Cassandra, Vertica
• Ability to work with front-end web technologies, like: HTML5/CSS3/Angular/Bootstrap
• Strong familiarity with *nix command line operations

Primary Responsibilities

• Understand current state architecture, including pain points.
• Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
• Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
• Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
• Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
• Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
• Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
• Make recommendations and assess proposals for optimization.
• Identify operational issues and recommend and implement strategies to resolve problems.

Must have:

• 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
• Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
• Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
• Strong programming skillset with high proficiency in Python, R, etc.
• Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
• Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
• Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
• Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
• Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
• Willing to flex daily work schedule to allow for time-zone differences for global team communications
• Strong interpersonal and communication skills

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.
   

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini