11+ Qualys Jobs in Bangalore (Bengaluru) | Qualys Job openings in Bangalore (Bengaluru)

• OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
• OWASP TOP 10 vulnerabilities and their mitigations
• Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
• Understand/modify exploit code and find logical security flaws in applications
• Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
• To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.

Key Responsibilities

• Provide strong technical leadership and mentorship to software engineers.
• Define and execute engineering strategies aligned with business goals.
• Manage multiple concurrent projects with a focus on timely, high-quality delivery.
• Collaborate with cross-functional teams to define and prioritize product features.
• Drive Agile methodologies to enhance team performance and efficiency.
• Conduct performance reviews and foster continuous professional development.
• Oversee the complete SDLC—from design and development to deployment.
• Manage engineering budgets, resource allocation, and capacity planning.
• Stay updated with emerging technologies and industry best practices.
• Ensure high coding standards and adherence to engineering best practices.
• Contribute hands-on to coding, architecture, and technical design decisions.
• Work closely with clients and external stakeholders to translate requirements into scalable technical solutions.

Tech Stack

• Java
• Spring Framework
• Microservices Architecture
• Cloud Technologies
• Large-scale distributed systems

Ideal Candidate Profile

Experience

• 8+ years of engineering experience, including backend development and scalable distributed systems.
• 2+ years of people and delivery leadership experience.
• Proven client-facing experience, translating business needs into engineering execution.

Technical Expertise

• Strong hands-on experience with Java, Spring, microservices, and SDLC processes.
• Deep understanding of system design, architecture reviews, and engineering best practices.
• Experience with Agile methodologies and project management tools.

Leadership & Collaboration

• Strong communication skills with the ability to present to technical and non-technical stakeholders.
• Experience collaborating with product, design, sales, and client teams.
• Demonstrated ownership of end-to-end execution, release coordination, and delivery.

Additional Requirements

• Experience working in product-based organizations.
• Stable career history (minimum 2 years per previous organization).
• B.Tech in Computer Science, Engineering, or related field from Tier 1 / Tier 2 institutions (Master’s preferred).
• Education criteria may be relaxed for candidates from strong, reputed product organizations.

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

Responsibilities:

• Take on complex problems that span multiple components and teams.

• Independently own one or more multiple modules, which include: requirement analysis, design, development, maintenance & support

• Write extensive, efficient code to address complex modules that handle the interaction between multiple components.

• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions

• Produce architecture with clean interfaces, that are efficient and scalable

• Participate and contribute to architectural discussions

• Solve production issues. Investigate and provide solutions to minimize the business impact due to the outage

• Continuously improve performance metrics of modules you own.

• Collaborate effectively across teams to solve problems, execute and deliver results

Requirements:

• Experience: 3+ years

• A Bachelor's or Master's Degree in Computer Science

• Software engineering and product delivery experience, with a strong background in algorithms

• Experience in architecting & building real-time, large-scale e-commerce applications

• Experience with high-performance websites catering to millions of daily traffic is a plus

• Excellent command over Data Structures and Algorithms

• Experience with web technologies, Go/Java/Python

• Language: GO or Python

• Strong expertise in DS and Algo

• Strong leadership skills - have experience mentoring, building products from scratch or incumbent in design and architecture.

• Have worked in the scaling of the system right from scratch.

• Someone worked in small user base to a large user base and wrote optimized code

• Both HLD and LLD

1. Key Responsibilities

• Manage on-time and on-budget delivery with planned profitability, consistently looking to improve quality and profitability
• Lead the onsite project teams and ensure they understand the client environment
• Responsible for Backlog growth - Existing projects + Renewals/Extensions of current projects + Rate Revisions
• Responsible for driving RFPs / Proactive bids
• Build senior and strategic relationships through delivery excellence 
• Understand the client environment, issues, and priorities
• Serve as the day-to-day point of contact for the clients

Develop, design, and implement embedded applications.

· Prepares appropriate documentation as required by internal product development processes

· Conducts and participates in design, code and test reviews and inspections, as well as the feasibility, efficacy and compliance to functional and regulatory standards.

· Works closely with the software team, the software verification team, the functional manager and the project manager.

· Collaborates with distributed, cross-functional teams to ensure products meet quality, performance, scalability, reliability and schedule goals.

· Investigates software, hardware, and system problems using a variety of techniques and provides innovative solutions.

· Conduct and participate in reviews and inspections for all elements in the firmware lifecycle to ensure that our code quality and customer satisfaction goals are achieved

· Integrate and validate new product designs

· Provide post-production support

Skill Sets:

• B.Tech. / M.Tech. (any stream)

· Good knowledge in firmware development field with more than 3 years of experience

· Basic knowledge of software life cycle, algorithm and data structure.

· Excellent knowledge of OS, coding techniques, IP protocols, interfaces and hardware subsystems

· Adequate knowledge of reading schematics and data sheets for components.

· Ability to understand the electrical schematics and work closely with electrical team.

· Experience with Real Time Operating Systems and Embedded Linux.

· Mode of network connectivity - good idea about GSM/GPRS, Wifi, Ethernet mode of connections. TCP, MQTT, HTTP mode of connection will be a big plus

· Protocols Like UART, SPI, I2C, CAN, MODBUS, TCP/IP, USB, Bluetooth.

· Experience in modules like Wi-Fi, BLE, Lora WAN, ZIGBEE, RF etc.

· Should have experience in working with TFT and LED displays.

· Extensive experience in micro-controller/microprocessor (like ARM Cortex M, ESP32, STM Chips, NXP, BeagleBone , ESP chips, BeagleBone black, STM Chips, Atmega chips etc.)

· Familiarity with software configuration management tools, defect tracking tools, and peer review (GIT, SVN)

· History of driving project execution and timely delivery while ensuring a quality focus.

· Experience writing / interfacing with device drivers.

· Experience in Agile development processes and philosophies.

· Strong documentation and writing skills

Mandatory Skills:

· Basics of embedded system development

· Embedded C/C++

· Scripting Lang - Python

· Basics of wireless communication

· RTOS

· Strong Problem-Solving Skills

· Analytical Skills (Good Aptitude)

· Communication Skills

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.