Head - Digital

Job Title : QA Automation Lead Engineer – Network Security & Blockchain/Web3.js

Location : Gurgaon & Bangalore, India (On-site)

Job Type : Full-time

Working Days : 6 Days (Monday to Saturday)

Role Overview :

As a QA Automation Lead Engineer – Network Security & Blockchain/Web3.js, you will define and implement advanced quality assurance and security testing strategies tailored for Blockchain applications. This role involves leading a team, collaborating with cross-functional teams, and ensuring the highest quality and security standards.

Key Responsibilities:

• Leadership: Mentor QA Engineers and develop QA and security testing strategies.
• Security Assurance: Conduct vulnerability assessments, penetration tests, and automate testing for improved coverage.
• Collaboration: Align QA activities with project goals and ensure compliance with standards like GDPR and ISO 27001.
• Continuous Improvement: Analyze QA metrics and stay updated on Blockchain and cybersecurity advancements.

Required Skills:

• Technical Skills: Expertise in Network Security, QA methodologies, automation tools (e.g., Selenium, Appium), and scripting languages like Python or Java.
• Compliance: Familiarity with OWASP, ISO 27001, and regulatory standards.
• Leadership: Proven experience in leading QA teams and managing testing for Blockchain/Web3 applications.

Preferred Skills:

• Penetration testing tools (e.g., Burp Suite, OWASP ZAP).
• Experience with CI/CD tools like Jenkins and GitLab CI.
• Certifications such as CEH, ISTQB, or Blockchain-related credentials are a plus.

Experience:

• 5+ Years in QA, with a focus on Network Security and Blockchain/Web3.
• Hands-on experience in testing Blockchain platforms and distributed applications.

Educational Requirements:

• Bachelor’s degree in Computer Science, IT, or a related field.

Job Title: Microsoft Power Platform & Integration Engineer

Position Overview

We are seeking a skilled Microsoft Power Platform & Integration Engineer to drive digital transformation by building applications, automating workflows, and integrating enterprise systems using the Microsoft ecosystem.

Key Responsibilities

Application Development & Automation

• Develop applications using Microsoft Power Apps (Canvas & Model-Driven)
• Automate workflows using Power Automate
• Build portals using Power Pages
• Integrate with Microsoft 365, SharePoint Online, and third-party systems
• Implement logic using JavaScript, plugins, workflows, and business rules

Data & Analytics

• Design and manage data using Dataverse
• Build dashboards and reports
• Ensure data security, governance, and compliance
• Enable data integration for reporting

DevOps & Delivery

• Implement ALM practices
• Manage CI/CD pipelines using Azure DevOps

Collaboration & Governance

• Develop SharePoint Online solutions (document management, intranet, workflows)
• Define governance policies and monitor system performance
• Establish development standards and reusable components

Qualifications

• Bachelor’s degree in CS/IT or related field
• 3–5 years of experience with Power Platform and Azure DevOps
• Strong skills in data modeling, automation, and reporting
• Experience with APIs, JSON, and integrations
• Strong problem-solving and communication skills

Preferred Skills

• Certifications: PL-400, PL-600, AZ-400
• Experience with enterprise cloud implementations
• Agile/Scrum knowledge

Tech Stack

• Power Apps, Power Automate, Power Pages, Dataverse
• SharePoint Online
• Azure DevOps, CI/CD
• JavaScript, REST APIs, JSON

Note: One technical round is mandatory to be taken F2F from office.

Job Details

- Job Title: ML Engineer II - Aws, Aws Cloud

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description:

Core Responsibilities:

? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency

? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.

? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.

? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.

? System Integration: Integrate models into existing systems and workflows.

? Model Deployment: Deploy models to production environments and monitor performance.

? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.

? Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).

? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph

? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.

? Knowledge of model monitoring and performance evaluation.

Required experience:

? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements

? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in

ML workflows

? AWS data: Redshift, Glue

? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Aws, Aws Cloud, Amazon Redshift, Eks

NP: Immediate – 30 Days

Key Account Management (preferably in D2C, SaaS, or Growth Marketing)

Client Relationship Management

Data-driven problem solving & storytelling

Funnel Optimization / CRO knowledge

Revenue Retention & Upselling Strategy

Proficiency with analytics tools (Google Analytics, Hotjar, VWO, etc.)

Excellent communication and negotiation skills

Strong cross-functional collaboration with design & tech teams

Role: Sr. Principle Engineer -Firmware

Experience: 8 to 10 Yrs.

Job description:

Primary skills:

-        At least 8 years of working experience on embedded firmware development

-        Experience in multithreaded programming, network programming (wired and wireless protocols), real-time programming, cross-platform and cross-language development

-        Prior experience with overseeing board bring-up and validation

-        Hands-on experience on driver development for various sensors,Flash,PMIC

-        Working knowledge of communication protocols like UART, I2C, SPI, USB, Ethernet, etc

-        Product development experience with range of microcontroller/microprocessor architectures, adoption of bare-metal, RTOS and Linux operating systems on new platforms

-        Minimum 2+ years of experience doing hands-on software development in Bluetooth domain; application, framework, Bluetooth stack or drivers

-        Working Experience In display driver development with MIPI/LVDS/QSPI will be a value addition

-        Experience with hardware lab equipment such as digital scope, logic analyser and JTAG

-        Understanding of embedded development constraints and system performance

-        Hands-on Experience on System level integration

-        Experience with programming in C/C++/python

-        Experience in reading schematics

Secondary skills:

-        Version Control System

-        Working experience on BLE SoC like Nordic, Ambiq, Dailog

-        Bug Tracking

JAVA SPRING BOOT DEVELOPER - Immediate Joiners

Work Experience: 4-7 years

Work location: Hyderabad

Must Have Skills: Spring Boot

Desired Candidate Profile

Proficiency in core Java & Spring framework

Expertise in Web Service technologies.

Excellent knowledge in Databases and code integrations such as Postgres SQL, SQL Server, MySQL

Experience with Java Spring Boot, Hibernate Cloud Services, AWS, S3, Server-less lambda functions
Experience with security principles and frameworks
Knowledge of modern authorization mechanisms, such as JSON Web Token and OAuth2 - Familiarity with code versioning tools such as Git, etc.

Essential skills are Core Java/J2EE, functional aspects, Spring Framework, Swagger, Tomcat, SVN, Git, Postman/Newman.

Should have worked in Agile methodologies.

Good object oriented and problem solving skills.

Strong communication skills along with the ability to work in a highly collaborative environment.

Role & Responsibilities

- Design and develop features using Java, Spring, and Hibernate

- Ability to design database schema, develop views and stored procedures

- Maintain existing software systems by identifying and correcting software defects

- Review and analyse business requirements and provide technical feasibility and estimates

- Coordinate the workflow between the UX team and front end developers

Qualification

- 4-7 years of work experience developing Java-based backend applications

- Around 2 year of work experience using Spring Boot, Spring Cloud and Microservices

- Bachelor degree in computer science, or information technology, or other related field of study

Company Description

At Bungee Tech, we help retailers and brands meet customers everywhere and, on every occasion, they are in. We believe that accurate, high-quality data matched with compelling market insights empowers retailers and brands to keep their customers at the center of all innovation and value they are delivering. 

We provide a clear and complete omnichannel picture of their competitive landscape to retailers and brands. We collect billions of data points every day and multiple times in a day from publicly available sources. Using high-quality extraction, we uncover detailed information on products or services, which we automatically match, and then proactively track for price, promotion, and availability. Plus, anything we do not match helps to identify a new assortment opportunity.

Empowered with this unrivalled intelligence, we unlock compelling analytics and insights that once blended with verified partner data from trusted sources such as Nielsen, paints a complete, consolidated picture of the competitive landscape.

We are looking for a Big Data Engineer who will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

You will also be responsible for integrating them with the architecture used in the company.

We're working on the future. If you are seeking an environment where you can drive innovation, If you want to apply state-of-the-art software technologies to solve real world problems, If you want the satisfaction of providing visible benefit to end-users in an iterative fast paced environment, this is your opportunity.

Responsibilities

As an experienced member of the team, in this role, you will:

• Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development

• You will research, design and code, troubleshoot and support. What you create is also what you own.

• Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.

• Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.

BASIC QUALIFICATIONS

• Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
• 5+ years relevant professional experience in Data Engineering and Business Intelligence
• 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
• Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
• Ability to effectively communicate with both business and technical teams.
• Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
• Understanding of relational and non-relational databases and basic SQL
• Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script

PREFERRED QUALIFICATIONS

• Experience with building data pipelines from application databases.
• Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
• Experience working with Data Lakes.
• Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
• Sharp problem solving skills and ability to resolve ambiguous requirements
• Experience on working with Big Data
• Knowledge and experience on working with Hive and the Hadoop ecosystem
• Knowledge of Spark
• Experience working with Data Science teams

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure development is in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

• BSc/BE/BTech in Computer Science, Engineering, or a related field
• 3+ years of experience in Spring boot Framework
• Experience with REST- JSON, SOAP/XML is mandatory
• Proven working experience in Java development
• Experienced in Server Side Java, J2EE, Servlets, Spring/Spring boot, JAXB, JAX-WS, MySQL/PostgreSQL, Junit
• Knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate).
• Hands-on experience in designing and developing applications using Java EE
• Platforms with Open Source Frameworks - Spring/Spring boot, XML, Integration with SOAP and RESTful Web Services, WS security.
• Experience with test-driven development
• Experience with GIT and Maven.
• Experience with Spring Security.