Showroom Manager- Automotive

A Desktop Support Engineer provides technical assistance to end-users, ensuring that desktops, laptops, and peripheral devices operate efficiently. The role involves diagnosing and resolving hardware and software issues, managing installations and upgrades, and maintaining system security. They serve as the first line of IT support, helping employees remain productive by minimizing downtime and ensuring reliable system performance.

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.

Designation: Junior Digital Marketing Executive Experience: 

1-6 months

Key Requirements:•Digital marketing fundamentals

•SEO knowledge (on-page, off-page, technical) & SEM

•Google Ads & Meta Ads understanding

•Social media management (Facebook, Instagram, LinkedIn)

•Tracking setup: Meta Pixel, Google Tag Manager basics

•Google Search Console & Google Analytics Set up knowledge

•Write SEO optimized website content using AI and other tools

•Create static posts and reels using tools (Canva or AI tools)

•Strong communication skills

Role: Support digital campaigns, manage social media, create content, analyze performance metrics, and assist in SEO/SEM activities under supervision.

What We Offer:

•Supportive atmosphere & learning environment

•Professional and personal growth opportunities

•Good remuneration with growth scope

•Exposure to work with US-based clients

 Roles and responsibilities

• Work with founders, to understand business objectives and customer insights
• Work with product, engineering and customers to co-create the product with early customers
• Prepare wireframes, mockups, and prototypes to take ideas from inception to execution
• Build a design strategy, establish high-quality design processes, and create a culture of design within.
• Drive user research to identify problems and experiment with solutions; inform the product roadmap by advocating for user needs
• Strategize, develop, and extend the visual design systems and pattern libraries

• 4+ years of relevant experience
• Self-driven individual with high ownership and a strong work ethic
• Ability to turn complex design problems into beautiful, intuitive solutions
• Ability to collaborate with cross-functional teams to define, design and ship new features
• Aesthetic appeal - you have an eye for beautiful designs/visuals
• Expertise in product thinking & user empathy; being able to identify the key user needs and connect them with effective solutions
• Excellent craft skills, such as visual storytelling, pixel-perfect UI design, and prototyping
• Excellent communication skills, both verbal and written
• Comfortable running a full design process from beginning to end
• Ability to conduct user research studies

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

You’ll be joining the engineering team responsible for delivering SaaS and on-premise solutions that orchestrate case data workflows and provide data driven legal insights for our clients. You will be leading the development, maintenance and scaling of our strategic initiatives - using a variety of distributed systems and cloud-technology stacks, driving our next level of growth. As an early member of our small team, you will have ample opportunity to lead and scale the product and the team. 

Responsibilities

• Work with product management to understand customers' case data workflows to translate their pain points to requirements.
• Gain a solid understanding of customer backend pipelines and integration surfaces.
• Breakdown large projects into potentially shippable incremental units within a timeframe.
• Understand the current system architecture and design sub systems.
• Be hands-on and build end-to-end new features and support existing features.
• Engage in all stages of the product development life cycle.
• Adopt a customer-centric and iterative mindset.
• Promote engineering best practices such as API design standards, coding standards, code test coverage, code reviews, CI/CD, and documentation.
• Work with lead engineers and mentor junior engineers to deliver on large initiatives.
• Our tech stack is varied - you will start with Ruby/Rails, JavaScript/React, Postgres, Redis, Sidekiq, Heroku, AWS, and more.

Required Skills: 

• Exposure to a variety of stacks building SaaS platforms and/or on-premise solutions.
• Experience with building sub-systems or services in a distributed system.
• Exposure to one or more backend architectures such as event-driven, micro services, and cloud architectures.
• Experience troubleshooting performance and/or scale issues.
• Strong in RDBMS and/or NoSQL databases.
• Proficient in one or more scripting languages - experience in Ruby/Rails and JavaScript/React is a plus.
• Strong in data structures, algorithms, object-oriented programming, and design patterns.
• Ability to effectively communicate and collaborate with both technical and nontechnical team members.
• Prior experience in the legal tech industry is a plus.

Years of Experience : 5+ years

Educational Qualification: BE or BCA or MCA OR Msc IT

Position Title: Embedded Software Developer (Linux Driver Development)

Experience: 4 - 10 Years

Mode of Hire: Permanent, Deployed at Client Location.

Work Location: Hyderabad

Notice Period: Max. 20 - 30 Days (Early Joiners will be preferable).

What we are looking for?

Must Have:

• Should have strong proficiency in C, C++ and Embedded Systems (embedded C)
• Should have 4+ years of experience in Linux Driver Development, Application development
• Excellent debugging skills at kernel and user space and exposure to different debugging tools
• High level understanding of ARM & RISC (Instructions) OR MB Processor and Assembly Programming

Good to Have:

• Any Driver development exposure in Multimedia, Exposure to any one of the Linux Kernel Framework (Display, Camera Drivers, HDMI, GPU, MIPI, DRM framework, V4L2, etc.)