11+ OWASP Jobs in Hyderabad | OWASP Job openings in Hyderabad

3+ years of experience in cybersecurity, with a focus on application and cloud security.

· Proficiency in security tools such as Burp Suite, Metasploit, Nessus, OWASP ZAP, and SonarQube.

· Familiarity with data privacy regulations (GDPR, CCPA) and best practices.

· Basic knowledge of AI/ML security frameworks and tools.

ROLE SUMMARY

The Senior Python Developer designs, builds, and improves Python and Django applications. The role includes developing end‑to‑end integrations using REST and SOAP services and delivering reliable, scalable solutions through hands‑on coding and data transformation work. The developer works closely with Business Analysts, architects, and other teams to ensure technical solutions support business needs. Key responsibilities also include improving SQL performance, taking part in code reviews, supporting DevOps workflows with Git and Azure DevOps, and helping integrate GenAI features—such as GPT models, embeddings, and agent‑based tools—into enterprise applications.

ROLE RESPONSIBILITIES

• Design and develop Python and Django applications that are scalable, secure, and maintainable.
• Implement UI components using CSS, Bootstrap, jQuery, or similar technologies as needed.
• Develop integrations with internal and external systems using REST, SOAP, and WSDL‑based services.
• Create and optimize SQL queries, database structures, and data access logic to support application features.
• Work with Business Analysts and stakeholders to translate functional requirements into technical specifications and solutions.
• Implement accurate data mappings and transformations in accordance with business and technical requirements.
• Contribute to code reviews, follow established coding standards, and ensure high‑quality deliverables.
• Support the implementation and maintenance of DevOps pipelines using Git and Azure DevOps.
• Contribute to the integration of GenAI capabilities—including GPT models, embeddings, and agent‑based components—into enterprise applications.
• Troubleshoot issues across the application stack and collaborate closely with peers to resolve technical challenges.

TECHNICAL QUALIFICATIONS

• 7+ years of hands‑on experience with Python and Django, including complex application development.
• 5+ years of experience with SQL development, optimization, and database design.
• At least 1-2 years of applied experience with GenAI technologies (GPT models, embeddings, agents, etc.).
• Deep expertise in application architecture, system integration, and service‑oriented design.
• Strong experience with DevOps tools and practices, including Git, Azure DevOps, CI/CD pipelines, and automated deployments.
• Advanced understanding of REST, SOAP, WSDL, and large‑scale service integrations.

GENERAL QUALIFICATIONS

• Exceptional verbal and written communication skills.
• Strong analytical, problem‑solving, and architectural reasoning abilities.
• Demonstrated leadership experience with the ability to guide and mentor technical teams.
• Proven ability to work effectively in fast‑paced, collaborative environments.

EDUCATION REQUIREMENTS

• Bachelor’s degree in Computer Science, MIS, or a related field.
• Advanced certifications in Python, cloud technologies, or GenAI are preferred but not required.

Data Quality Engineer

Engineering - Hyderabad, Telangana

About Gradera — Digital Twin & Physical AI Platform 

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational environments such as manufacturing, logistics, and supply chain networks. 

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case. 

Data Quality Engineer 

Overview 

We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. 

Our core data quality stack includes: 

Data Quality Frameworks 

• Delta Live Tables expectations for declarative quality enforcement 
• Great Expectations for comprehensive data validation 
• Databricks data profiling and quality monitoring 

Platform & Tools 

• Databricks SQL and PySpark for quality checks at scale 
• Unity Catalog for lineage tracking and governance compliance 
• Python for custom validation logic and anomaly detection 

Observability 

• Quality metrics dashboards and alerting 
• Data profiling and statistical analysis 
• Anomaly detection and drift monitoring 

Key Responsibilities 

• Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations 
• Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages 
• Develop data profiling processes to understand data distributions, patterns, and anomalies 
• Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) 
• Implement anomaly detection mechanisms to identify data drift and quality degradation 
• Create quality dashboards and alerting systems for proactive issue identification 
• Collaborate with data engineers to embed quality checks into ETL/ELT pipelines 
• Partner with data architects to establish data quality standards and governance policies 
• Investigate and perform root cause analysis for data quality issues 
• Document data quality rules, thresholds, and remediation procedures 
• Support data certification processes for simulation-ready and ML-ready datasets 
• Drive continuous improvement in data quality practices and tooling 

Preferred Qualifications 

• 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality 
• Track record of implementing enterprise-scale data quality frameworks 
• Experience with Lakehouse architectures (Delta Lake, Iceberg) 
• Familiarity with real-time data quality monitoring for streaming pipelines 
• Experience working in agile, cross-functional teams 

Highly Desirable 

• Experience with data quality for digital twin or simulation platforms 
• Familiarity with operational state data validation and temporal consistency checks 
• Experience with graph data quality validation (Neo4j or similar) 
• Exposure to ML data quality (feature validation, training data quality) 
• Experience with data observability platforms 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time 

Role - Performance tester

Location – Hyderabad

Budget – only above 6.5 years (at least 5 years on load runner / strong in load runner) 6.5 to 10 years

Compensation - between 13 to 17 LPA

We need associates to be good in Load Runner both. Below is JD.

1. Ability to work independently on project performance testing with minimal supervision.
2. should have Performance Testing strong skills with working experience on API testing and Web Applications.
3. Understanding of the requirements / architecture and NFR.
4. Good experience in performance testing using MicroFocus – Performance Centre(Load Runner)
5. Able to understand the complex architecture of the product developed in various technologies like java, springboot, PCF/AWS Cloud Technologies, etc..
6. Hands-on experience of developing scripts, designing test scenarios, test execution, monitoring, analyzing results
7. Participate in the development and reporting of test metrics; items such as test confidence and test coverage reports.
8. Experience in setting up/designing load scenario for various tests like load test, endurance test, stress test, capacity measurements etc.
9. Experience in profiling and monitoring tools like AppDynamics, Grafana, Kibana
10. Monitor application logs to determine system behaviour. Address all technical issues;
11. facilitate the resolution and necessary follow-up with Development and other cross- functional departments.
12. Analyse the CPU Utilization, Memory usage, Garbage Collection, and DB Monitoring - Parameters and DB Reports to verify the performance of the applications
13. Experience in Setting up Test Environments, Debugging Environment issues.
14. Experience in Identifying H/W and S/W Needs for setting up Test Environment Knowledge of sound development practices with exposure to Agile development, release engineering and continuous integration is a plus.

• Proficient experience of minimum 3 years into C++ & experience using MFC library.
• Good experience into C# programming.
• Working experience into COM.
• Good Communication skills.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

• Design and build advanced applications for the iOS platform

• Experience is required in IOS

• Collaborate with cross-functional teams to define, design, and ship new features.

• Unit-test code for robustness, including edge cases, usability, and general reliability.

• Work on bug fixing and improving application performance.

• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

• Working experience in iOS development using Swift, RX Swift,

• Have published one or more iOS apps in the app store

• A deep familiarity with Objective-C and Cocoa Touch

• Experience working with iOS frameworks such as Core Data, Core Animation, Core Graphics and Core Text

• Experience with third-party libraries and APIs

• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies

• Solid understanding of the full mobile development life cycle

• working experience on Media streaming

• Working experience on Modular programming, RX Swift, Auto layout, Push Notification & Deep Linking.

We are looking for Senior Backend Engineers to design and build the systems that power our core business of lending and loan processing.  As a Senior Backend Engineer you will be expected to contribute significantly to your team. Your work is consistently of high quality. You solve complex problems, applying appropriate technologies, design patterns, and best practices. Your focus is on a major portion of existing or new team software. You work with your team to design and build software that is secure, correct, observable, and resilient. Your solutions are pragmatic. You identify the proper level of complexity for a task and advise your peers and manager on technical approach.

What you’ll do

• Design, implement, and maintain developer-friendly APIs and services

• Contribute to code and architecture reviews to keep our code quality high
• Debug and resolve production issues; take part in blameless postmortems
• Plan and execute smooth migrations to new technology as a way of managing technical debt
• Build tools and automation for our business and operations teams
• Make decisions on trade offs such as: Reuse versus introducing dependencies; Extensibility versus over-engineering; and Maintainability versus time to delivery (via short-term workarounds)
• Contribute to the improvement of your team’s code review standards, design discussions, team planning, and AARs.

You may shine in this role if you

• Have a track record of shipping software in a distributed systems environment

• Are enthusiastic about collaborating across departments to solve challenging problems
• Are pragmatic about the need to release less-than-perfect software and continuously iterate on it
• Can identify and articulate trade-offs in software and data design
• Can communicate both technical and business requirements fluently
• Are excited about both learning new things and teaching others

We speak mainly in javascript and golang, though we are open to engineers with different backgrounds and languages