Associate Customer Sales

Job Summary

We are seeking a highly skilled and experienced Senior Salesforce QA Engineer to lead the end-to-end quality assurance for our enterprise Salesforce platform. In this role, you will design robust test strategies, establish automated testing pipelines, and validate complex custom configurations, Apex code, and integrations. As a senior member of the team, you will bridge the gap between business requirements and technical execution, ensuring the delivery of high-quality, scalable solutions across Sales, Service, and Custom Clouds.

Key Responsibilities

• Test Strategy & Planning: Define, implement, and maintain comprehensive test strategies, test plans, and test cases covering functional, regression, integration, and end-to-end scenarios.

• Test Automation: Architect, scale, and maintain automated testing frameworks using enterprise tools (e.g., Provar, Tricentis Tosca, or Selenium with Java/Python) specifically optimized for Salesforce's dynamic UI.

• Complex Custom Validation: Validate complex programmatic customizations (Apex classes, Triggers, Lightning Web Components) and declarative features (Advanced Flows, Validation Rules).

• Integration Testing: Lead end-to-end API testing (REST/SOAP) to verify seamless data flow between Salesforce and upstream/downstream external systems.

• Environment & Release Management: Oversee sandbox deployments, data masking, and regression testing during Salesforce seasonal releases and monthly deployment cycles.

• Defect Lifecycle Management: Own the defect tracking process in Jira or Azure DevOps, collaborating closely with developers, business analysts, and product owners for rapid root-cause resolution.

• Mentorship & Leadership: Provide technical guidance and mentorship to junior QA engineers and lead user acceptance testing (UAT) phases with business stakeholders.

Required Technical Skills & Qualifications

• Experience: 5 to 10 years of dedicated software quality engineering experience, with a minimum of 3+ years focused exclusively on testing Salesforce ecosystems.

• Salesforce Core Knowledge: Deep understanding of Salesforce architecture, data models, object relationships, sharing rules, and platform governor limits.

• Automation Expertise: Hands-on experience developing framework code or no-code architectures using tools like Provar, Selenium WebDriver, Tricentis Tosca, or UFT.

• API Testing: Proficient in API testing tools such as Postman, SoapUI, or automated API frameworks.

• Agile & Devops: Strong experience working within Agile/Scrum methodologies and integrating automated tests into CI/CD pipelines (e.g., Copado, Jenkins, GitHubActions).

• Data Management: Proficiency in writing SQL queries and utilizing Salesforce Data Loader for test data creation and verification.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Deliver engaging lectures, seminars, and practical sessions in the assigned subject area. Develop course materials, lesson plans, and assessments aligned with curriculum standards. Mentor and guide students in academic projects, internships, and career planning.

Conduct internal assessments, evaluate student performance, and provide constructive feedback.

• 5+ years of experience in backend development with a strong focus on Node.js and TypeScript.
• Strong understanding of Node.js frameworks.
• Proficiency in TypeScript, with experience in building scalable applications.
• Solid understanding of RESTful API design, WebSocket, and asynchronous programming patterns.
• Experience with databases (SQL/NoSQL), including MySQL, MongoDB, Redis, etc.
• Familiarity with blockchain technologies and cryptocurrency exchanges is a plus.
• Strong knowledge of security principles and best practices for web applications.

We're looking for team players with natural product intuition who can help us build solutions

for our world-class Learning & Assessment platform (edulastic.com).

As a Backend Developer you will be responsible for the server-side of our web applications

and you will work closely with our engineers to ensure the system consistency and improving

user experience.

Role and Responsibilities

• As an experienced backend developer, your primary focus will be the development of all

server-side systems

• A basic understanding of front-end technologies is necessary as well. You will test, secure

and deploy your code

• Knowledge of Node.js is a must along with a server-sideframework
• Strong proficiency in JavaScript
• Writing reusable, testable, and efficient code
• Experience and proficiency integrating with RESTAPIs
• Understanding of scalable computing systems, software architecture, data structures,

and algorithms

• Experience in working with databases such as MongoDB, Redis, Elasticsearch, etc.
• Should be willing to work in a very fluid startup environment and take complete ownership of

the assigned responsibility

Skills Required:

• At least 2 years of experience developing Backends using NodeJS should be well versed

with its asynchronous nature & event loop, and know its quirks and workarounds.

• Good knowledge of MongoDB or any other NoSQL

Database.

• Good knowledge of Redis, its data types, and their use cases.
• Experience developing and deploying REST

APIs.

• Good knowledge of Unit Testing and available Test Frameworks.
• Should be a fast learner and a go-getter without any fear of trying out new things Preferences.

Who Are We?

At AutoVRse, we build the finest, customized Virtual and augmented Reality (VR/AR) applications, helping enterprises harness the power of immersive technologies across several key functions. Combining our photo-realistic visualizations with interactive virtual environments, we have partnered with firms like Shell, Bosch, Accenture, Aditya Birla Group, Godrej, and TVS Motors to deploy VR experiences in India, Singapore, Australia, Germany and the USA.

What Will You Work On?

You will join the game studio team within AutoVRse, helping build District M, a VR, rhythm-based platformer, a first-of-its-kind for an indie studio out of India. As a core part of this team, you will play an instrumental role in creating this game and ushering in the next era of immersive gaming.

• We launched a free demo on Oculus Applab, and a lot of content creators/gamers are in love with it!
• Our official game trailer was featured in the UploadVR Summer Showcase, 2022 - earlier this year.
• We've recently become a part of the "PlayStation Partner" program and will soon be working on making our game accessible across VR platforms.

As a Game Developer, you will work closely with the design and production art teams to create mechanics and components that are a core part of the gameplay. We hire people with a broad set of technical skills, who have a passion for gaming and are excited to create diverse, impactful and memorable experiences for our user base. Your enthusiasm to take on new problems is what will help us push the boundaries of what is possible in VR games today.

What Can You Look Forward To?

• Build multi-platform VR games (starting with District M), for - Meta Quest 2, PSVR etc.
• Ideating, and implementing game mechanics from a prototype stage to a fully polished game.
• Participate in the feature / mechanics-definition process, along with the Design and Art teams.
• Collaborate closely with other engineers, production artists and level designers.
• Manage individual project priorities, deadlines and deliverables.
• Working in and growing along with an ambitious, accelerating, early-stage game studio.

Mandatory Qualities:

1. Experience in game development workflows, engines, processes and tools.

2. Demonstrated ability of building polished mechanics and systems built with scalable code practices.

3.   Thorough knowledge of OOP (Object-Oriented Programming), Data Structures and Algos.

4. Basic idea of 3D Design concepts - modelling / geometry, texturing, lighting, maps etc.

Good-To-Haves:

1. Experience with Virtual Reality (VR), including but not limited to 3D Graphics, OpenGL et al.

2.   Knowledge of VCS (Version-Control Systems) such as Git, Unity Collab / similar.

3. Knowledge of Object-Oriented Design (OOD), Design Patterns, 3D Math, UI, Animation.

4.   Knowledge of 3D Design Tools such as Blender, Substance Painter/Design, 3dsMax / Maya etc.

5. 1-2 years of game / VR development experience with Unity, Unreal Engine, C # et al.

Salary Range: ₹ 5,00,000 - 12,00,000 PER ANNUM