Graphic Designer

We are looking for a seasoned and results-driven Senior QA Engineer with 7 to 8 years of experience in Manual and Automation Testing. The candidate should have deep expertise in QA processes, strong automation skills using Python or equivalent, and the ability to lead quality initiatives for our core product suite. You won't just be finding bugs — you will be building a resilient quality ecosystem that leverages modern tools. 

What You’ll Be Doing:  

● Understand business requirements and convert them into test scenarios and test cases 

● Perform Manual Testing including Functional, Regression, Integration, & System Testing 

● Develop, maintain, and execute Automation Scripts using Python 

● Identify, report, and track defects using defect management tools 

● Work closely with Developers, Product Managers, and QA team members 

● Lead requirement analysis, test planning, and test case reviews 

● Contribute to improving QA processes and automation coverage 

● Participate in sprint planning, retrospectives, and cross-functional reviews 

● Identify, report, and track defects using defect management tools; manage triage and resolution with development teams 

● Catch edge cases before they become production issues 

● Co-ordination is release processes 

Automation Skills:  

● Maintain, and extend robust Automation Frameworks ( PyTest / Selenium) for UI and backend services as well as design patterns, and CI/CD integration 

● Monitor nightly automation runs, troubleshoot defects 

● Ability to design, extend, debug, and maintain test frameworks independently 

API and Database Testing:  

● Perform contract testing and functional validation of REST APIs using Postman or similar tools. 

● Write complex SQL queries to validate data pipelines, migrations 

Qualifications:  

● Strong understanding of Software Testing concepts 

● Experience in writing Test Cases and Test Scenarios 

● Experience in Defect Tracking tools (JIRA, etc.) 

● Experience in CI/CD tools (Jenkins, GitHub Actions, GitLab CI) 

● Experience in Agile / Scrum methodology 

● Strong analytical and problem-solving skills with a 'break-it' mentality 

● Good communication skills — ability to articulate quality risks to non-technical stakeholders 

● Self-motivated, quick learner, and proactive in driving quality culture 

● Strong team player with empathy to help developers 'fix-it' 

● Exposure to Agentic AI testing frameworks 

1.Technical Sales Develop and execute strategies to achieve sales targets for equipment and elevator systems. Conduct technical presentations and product demonstrations for prospective and existing clients. Provide detailed technical and application advice to customers on equipment and elevator solutions. 2. Customer Engagement Identify and assess customer needs through site visits, consultations, and discussions. Prepare and deliver proposals, quotations, and technical documentation. Maintain and build relationships with key clients, ensuring high levels of customer satisfaction and retention. 3. Project Management Oversee the technical aspects of sales projects from inception to completion, ensuring all specifications and requirements are met. Collaborate with engineering and installation teams to ensure successful project delivery. Address and resolve technical issues that arise during the sales process or order finalization. 4. Market Analysis Monitor and analyse market trends, competitor activities, and customer feedback to identify opportunities and threats. Provide insights and recommendations to enhance product offerings and sales strategies. 5. Reporting and Documentation Maintain records of sales activities, customer interactions, and project status in the CRM system. Prepare regular sales reports, forecasts, and performance metrics for management review.

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 1

Start: Immediate

Why this role exists

Most engineering teams choose between speed and stability.

We need both.

Today:

• Deployments carry risk
• Cloud costs are higher than they should be
• Compliance is reactive, not built-in

This role exists to build a platform where:

• We can deploy fast without breaking production
• We can scale without runaway cost
• We can pass enterprise InfoSec reviews without firefighting

What you’ll do

You will not just manage infrastructure.

You will build the platform that engineering runs on.

1. Drive cloud cost efficiency

• Reduce Azure compute spend by 40%
• Implement:
• Reserved Instances / savings plans
• Right-sizing of workloads
• Scheduling for non-critical workloads
• Continuously monitor and optimize cost vs performance

2. Build zero-downtime deployment systems

• Ship a deployment pipeline that supports:
• 5+ production deployments per week
• Zero customer-visible downtime
• Implement:
• Blue-green / canary deployments
• Automated health checks
• Safe rollout strategies

3. Enable fast and safe releases

• Reduce time-to-launch significantly
• Ensure:
• High reliability in every release
• Ability to rollback instantly if something breaks
• Create systems where:
• Scaling up is seamless when things go right
• Failures are contained when they don’t

4. Build disaster recovery and compliance readiness

• Create DR/BCP systems that pass enterprise audits from:
• HDFC Life, SBI Life
• Ensure:
• Backup and recovery processes are defined and tested
• Failover strategies are documented and executable
• Build compliance as part of the system, not an afterthought

5. Embed security into the pipeline

• Integrate:
• SAST (Static Application Security Testing)
• DAST (Dynamic Application Security Testing)
• SCA (Software Composition Analysis)
• Secret scanning
• Container scanning
• IaC scanning
• Ensure vulnerabilities are caught before deployment

6. Enforce policy-as-code

• Implement:
• OPA / Gatekeeper
• Azure Policy
• Prevent non-compliant infrastructure from being deployed
• Ensure consistency across environments

7. Build a scalable platform layer

• Create systems that:
• Support increasing deployment frequency
• Maintain reliability under scale
• Work closely with backend and SRE teams to:
• Improve system stability
• Reduce operational overhead

What success looks like

• Cloud costs reduce by ≥ 40%
• Deployments are:
• Frequent
• Safe
• Invisible to customers
• Rollbacks are instant and reliable
• DR/BCP passes enterprise audits in the first attempt
• Security is embedded in the pipeline, not patched later
• Engineering teams ship faster with confidence

Who you are

• You have 2-5 years of experience in DevOps / Platform Engineering
• You have worked with:
• Cloud platforms (Azure preferred)
• CI/CD systems
• Infrastructure as Code
• You think in:
• Systems
• Trade-offs (speed vs reliability vs cost)
• You are comfortable owning:
• Production infrastructure
• Deployment systems

What will make you stand out

• Experience with:
• High-frequency deployment systems
• Cost optimization at scale
• Security-first pipelines
• Strong understanding of:
• Kubernetes / container orchestration
• Monitoring and observability
• Distributed system reliability
• Experience passing enterprise security/compliance audits

Why join

• You will define how engineering ships and scales
• Your work directly impacts:
• Reliability
• Cost
• Deployment velocity
• You will build a platform that moves from:
• Fragile → predictable and scalable

What this role is not

• Not manual infra management
• Not reactive firefighting
• Not limited to CI/CD maintenance

What this role is

• A builder of deployment systems
• A driver of cost efficiency
• A guardian of reliability and compliance

One question to self-evaluate

Can you build a platform where we deploy faster, spend less, and never break production?

Role: Lead AI Engineer

Exp: 3-6 Years

CTC: 35.00-40.00 LPA

Work Mode :WFH

Mandatory Criteria (Can't be neglected during screening) :

• Need Excellent Communication skills as the company is dealing with US Clients also

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

• Proficiency with cloud platforms (AWS, Azure, GCP)

Job Description: Paid Media Marketing Specialist (Web3/Crypto)

Location: Chennai (Work from Office)

Employment Type: Full-time

Role Overview

Looking for a Paid Media Specialist with Web3/Crypto experience to run paid campaigns, drive user growth, and manage ad strategies across crypto-focused platforms and mainstream channels.

Key Responsibilities

·        Create and execute paid media strategies for Web3 projects.

·        Run ads on crypto websites (CoinMarketCap, CoinGecko, DappRadar, etc.) and platforms like Google, Meta, X (Twitter), LinkedIn.

·        Manage display ads, banner placements, and sponsored posts in crypto communities.

·        Optimize campaigns to improve CTR, CPC, CAC, and ROI.

·        Collaborate with content/design teams for creatives and landing pages.

·        Track and report campaign performance weekly/monthly.

·        Stay updated on crypto ad policies and compliance.

·        Explore partnerships with crypto influencers, Telegram/Discord communities.

Requirements

·        2–4 years in paid media marketing and Web3/Crypto.

·        Hands-on experience with crypto ad networks and mainstream platforms.

·        Strong knowledge of blockchain, DeFi, NFTs, and exchanges.

·        Skilled in Google Ads, Meta Ads, Twitter Ads, and LinkedIn Ads.

·        An analytical mindset with campaign tracking and reporting skills.

* Candidates must have Real Estate Knowledge,

* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.

* Should have a minimum experience of 2 to 4 years in CRM and managing teams.

* handled Real Estate CRM.

Preferred candidate profile

* Candidate must have Real Estate Knowledge with min 2 - 4 years of experience.

* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.

* Collections, preparation documentation, Bank docs.

Mandatory Skills:
6+ years complete SDLC experience.
C#.Net MVC/ Core.
Web Services / WCF Service /WebAPI
SQL (MSSQL)
Version Control
JavaScript, JQuery, AJAX, HTML, CSS, XML, XSLT, JSON

Preferred Skills:
.Net Core, Entity Framework, Azure Events, Azure, Angular, HTML, CSS

Optional Skills:

As a Data Engineer, your role will encompass: 

• Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture using Scala, Python, Talend etc.   
• Gather and address technical and design requirements.  
• Refactor existing applications to optimize its performance through setting the appropriate architecture and integrating the best practices and standards. 
• Participate in the entire data life-cycle mainly focusing on coding, debugging, and testing. 

• Troubleshoot and debug ETL Pipelines. 
• Documentation of each process. 

Technical Requirements: - 

• BSc degree in Computer Science/Computer Engineering. (Masters is a plus.) 
• 2+ years of experience as a Data Engineer. 

• In-depth understanding of core ETL concepts, Data Modelling, Data Lineage, Data Governance, Data Catalog, etc. 
• 2+ years of work experience in Scala, Python, Java. 
• Good Knowledge on Big Data Tools such as Spark/HDFS/Hive/Flume, etc. 
• Hands on experience on ETL tools like Talend/Informatica is a plus. 
• Good knowledge in Kafka and spark streaming is a big plus. 

• 2+ years of experience in using Azure cloud and its resources/services (like Azure Data factory, Azure Databricks, SQL Synapse, Azure Devops, Logic Apps, Power Bi, Azure Event Hubs, etc). 
• Strong experience in Relational Databases (MySQL, SQL Server)  
• Exposure on data visualization tools like Power BI / Qlik sense / MicroStrategy 
• 2+ years of experience in developing APIs (REST & SOAP protocols). 
• Strong knowledge in Continuous Integration & Continuous Deployment (CI/CD) utilizing Docker containers, Jenkins, etc. 

• Strong competencies in algorithms and software architecture. 
• Excellent analytical and teamwork skills. 

 Good to have: - 

• Previous on-prem working experience is a plus. 
• In-depth understanding of the entire web development process (design, development, and deployment) 

• Previous experience in automated testing including unit testing & UI testing. 

What are we looking for? :

- Experience in versions 1.9 or 2.4 versions of Magento.

- Excellent understanding of PHP and programming skills

- Understanding of MVC structures, OOPs concepts and Frameworks.

- Experience working with Magento or a similar e-commerce framework.

- Experience working with Linux, Nginx or Apache and Git, REST APIs.

- Experience working with MySQL, Caching and Elastic search.

- Experience in UI and Theme customization in Magento.

- Have knowledge of Performance optimization or best practices of development.

- Have 2-4 years of relevant experience.

What you will be doing?:

- Collaborate with team members and solve new challenges through tech and research.

- Take end-to-end ownership of delivering new modules - analyze customer usage & feedback, review business requirements, develop functionalities and test code.

- Write clean readable code and also follow best practices for efficiency and performance.

- Self learn and work independently, Also collaborate with the team when required.

- Communicate constructively and value user experience and feedback.

.
What can you expect to learn?:

- Full stack development in latest web technologies and frameworks like Angular, Laravel, PHP, PWAs, REST APIs, Elastic search and Web services.

- Develop custom functionalities, plugins and modules in Magento 2.4 to implement business ideas and user requirements.

- Best coding practices and various methodologies to optimize performance and produce the best quality product. Various caching techniques and optimization standards.

- Solve challenges in scalability and handling high amount of user requests using cloud APIs and services.

Perks : 

- Competitive salary

- Flexible work hours

- No dress code

- Group outings

- Supportive work culture