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.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

We are seeking an experienced Full Stack Developer with a strong background in React.js, JavaScript, TypeScript, and Node.js.

As a member of our development team, you will be responsible for designing, developing, and maintaining our web applications, ensuring high-performance and responsiveness across the entire software stack.

Responsibilities:

• Collaborate with cross-functional teams to understand requirements and develop innovative solutions using React.js, JavaScript, TypeScript, and Node.js.
• Design, develop, and deploy scalable and reliable web applications with a focus on usability, performance, and security.
• Write clean, maintainable, and efficient code using industry best practices and coding standards.
• Develop reusable components and libraries for future use.
• Collaborate with UI/UX designers to translate wireframes and mockups into responsive web interfaces.
• Optimize applications for maximum speed and scalability.
• Implement automated testing and continuous integration to ensure code quality and reliability.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5-8 years of professional experience in web development with a focus on React.js, JavaScript, TypeScript, and Node.js.
• Strong proficiency in React.js, including hooks, context API, and component lifecycle.
• Proficient in JavaScript and TypeScript with a good understanding of functional programming concepts.
• Experience with Node.js and building RESTful APIs using Express.js or similar frameworks.
• Solid understanding of web fundamentals such as HTML5, CSS3, and responsive design.
• Experience with version control systems (Git) and collaborative development workflows (GitFlow).
• Knowledge of testing frameworks (Jest, Enzyme, Mocha) and writing unit and integration tests.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.

Job Description

• Ensure hardware quality by performing client's qualification tests on servers and components 
• Draft organized and detailed qual reports of tests showing outputs and PASS/FAIL results 
• Debug HW issues found during tests by running investigative steps such as reproduction tests, problem isolation and fix verification. 
• Prepare servers for test by validating HW config and updating FW 
• Provide progress updates of tests on a regular basis in task tracker 
• Attend stakeholder meetings to provide updates to open qualifications 
• Support building out diagnostic definitions for hardware failures 

Qualifications

• 5+ years of BMC test experience  
• Experience with data center server (x86) and component testing and debug - CPU, DIMM, Motherboard, BMC, SATA/NVME Drive, NIC, PSU 
• Experience with data center server FW component testing and debug - BIOS, BMC/IPMI/redfish, Drive FW, NIC FW, RAID FW, CPLD 
• Experience with Linux shell/bash scripting to support HW testing 
• Experience on Python automation  

Job Description:

• Prospecting, generating, qualifying, and following up on leads and appointment setting for the external sales team
• Direct email marketing/cold calling to key clients and prospects
• Collaboratively work with the sales, and marketing team to develop lead generation strategies to generate lead opportunities with prospective customers
• Initiates lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives
• Research, track, maintain, and update leads
• Develop a strong knowledge of the company’s products and services to facilitate the sales process
• Achieving sales lead generation and appointment quota

Key Responsibilities:

• Inside Sales
• Lead Generation
• Executive Email marketing and Cold calling
• International sales experience preferred
• Relevant IT/ERP sales experience preferred

Requirements:

• Minimum 2 years of Sales experience in the US market
• Bachelor's or relevant degree
• Need to work in US timings
• Immediate availability

Basic Qualifications

• Solid knowledge of algorithms/data structures is a must
• Strong Java software development experience – with a focus on Java 8 & 9
• Experience with NoSql databases – ideally with MongoDB
• Experience implementing REST apis – ideally with JAX-RS
• Experience with Reactive Programming – ideally with RxJava
• Experience implementing unit tests

Preferred Qualifications

• Experience developing applications in fintech or established financial institutions
• Experience with microservice architectures
• Experience developing systems that can scale to large amounts of data
• Experience working in Agile Scrum
• Experience working on a globally distributed team

About:

Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life. 

Role:

Creative Content Writer - B2B/B2C

Description:

Our clients have stories that need telling, we’re looking for storytellers who weave the right narrative for them. Are you comfortable telling stories of social impact, societal change, industrial evolution, and technological innovation? Are you well-versed with corporate communication, writing content for B2B marketing and sales, and enterprise content marketing? Have you worked on a large variety of content types - emails, brochures, flyers, social media content, website copy, sales presentations, webinar decks, articles, and whitepapers? Then you might be a good fit for this job.

Competencies:

• Ability to work on multiple projects simultaneously, effectively juggle diverse writing demands, and deliver on-time
• High retention capacity and the ability to understand client briefs to create effective content strategies.
• An unerring eye for detail and a knack for creativity. 

Skills:

• Ability to interpret data to make recommendations for optimizing online content marketing.
• Unique, engaging, and varied writing styles with good proofreading and research skills.
• Knowledge of keywords, meta tags, SEO, and basic writing terminologies.

Experience:

• Understands marketing KPIs and ROI generated from content marketing programs, including an understanding of how content sources influence audience acquisition pipelines.
• Experienced in writing blogs, product portfolios, reports, web content, brochures, and other marketing collateral for B2B/B2C clients.
• Has a solid foundation in SEO, content strategy, analytics, copywriting, and copy editing.

Location and Type: 

Remote, Full-time

Evaluation:

Portfolios will be checked for expertise in both B2B and B2C domains. Please share only samples of work done by yourself for actual clients. Share only creative work done for an actual company, strictly no SEO blogs or personal blogs. . Shortlisting will be followed by a video interview.

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases