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The role primarily focuses on the administration and operational support of security platforms, with a heavy emphasis on Netskope.
You will:
- Administer and optimize security platforms including Netskope (CASB/SSE), CyberArk EPM, Mimecast, and others
- Monitor, analyze, and respond to security events generated by these platforms, ensuring timely triage and resolution
- Develop, tune, and maintain security policies (DLP, web controls, email security, endpoint privilege management) to reduce risk and false positives
- Lead troubleshooting and root cause analysis for security incidents and platform issues across endpoint, cloud, and email security domains
- Collaborate with engineering, IT, and business teams to implement security controls and drive remediation of identified risks
- Integrate security tools with ServiceNow for incident management, request workflows, and automated response actions
- Build and maintain operational dashboards and reporting for security posture, tool effectiveness, and KPIs
- Support onboarding of new applications, users, and use cases into Netskope, Mimecast, and CyberArk EPM
- Contribute to security architecture decisions and continuous improvement of tooling and processes
- Develop and maintain runbooks, standard operating procedures, and knowledge base documentation
You bring:
- Bachelor’s degree or 5+ years of equivalent experience in Cybersecurity or related field
- 7+ years of experience in security engineering or security operations roles
- Strong hands-on experience with Netskope (CASB/SSE), CyberArk EPM, and Mimecast administration and operations
- Experience integrating and operating workflows within ServiceNow (incident, change, and request management)
- Solid understanding of endpoint security, DLP, email security, and cloud security concepts
- Experience tuning security tools to reduce false positives and improve detection fidelity
- Familiarity with identity and access management concepts, including privilege management and least privilege principles
- Ability to analyze security events and translate findings into actionable remediation steps
- Strong cross-functional collaboration and communication skills
- Experience developing documentation, runbooks, and operational processes
- Ability to manage multiple priorities and operate effectively in a fast-paced environment
MUST HAVE: Netskope Subject Matter Expertise (SME)
- Netskope expertise is non-negotiable.
- Candidates must be capable of serving as effective platform administrators.
- Candidates should have a deep understanding of security policies within Netskope.
Responsibilities
The successful candidate will:
- Support Netskope as the primary platform.
- Administer and maintain security controls.
- Fine-tune DLP policies.
- Investigate access-related platform issues.
- Support ticket resolution related to Netskope.
- Work with feedback coming from the SOC team.
- Manage policy adjustments to reduce false positives.
PythonWe are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.
Key Responsibilities
- Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
- Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
- Build and maintain RESTful APIs using Flask or Django.
- Develop robust Python applications for data engineering and backend services.
- Process and analyze large-scale datasets using Big Data technologies.
- Optimize Spark jobs for performance, scalability, and reliability.
- Integrate APIs with internal and external systems.
- Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
- Troubleshoot production issues and implement performance improvements.
- Follow coding standards, version control, and CI/CD best practices.
Mandatory Skills
- Strong proficiency in Python programming.
- Hands-on experience with PySpark and Apache Spark.
- Strong SQL coding skills.
- Experience with PL/SQL development.
- Experience in Big Data ecosystem.
- REST API development using Flask or Django.
- Experience in developing and consuming Python APIs.
- Knowledge of data processing, ETL, and distributed computing.
- Experience with Git/version control.
Preferred Skills
- Experience with Hadoop ecosystem (Hive, HDFS, YARN).
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Airflow or other workflow orchestration tools.
- Experience with Docker and Kubernetes.
- Familiarity with Kafka or other streaming technologies.
- Understanding of CI/CD pipelines.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).
Required Experience
- Strong hands-on experience in Python, PySpark, and Apache Spark.
- Extensive experience writing optimized SQL and PL/SQL code.
- Experience developing REST APIs using Flask or Django.
- Experience working with large-scale data processing and ETL pipelines.
- Strong analytical, debugging, and problem-solving skills.
Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.
Job Overview
We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.
Key Responsibilities
• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.
• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.
• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.
• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.
• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.
• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.
Required Skills & Qualifications
• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).
• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.
• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.
• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.
• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.
Relationship Manager – Insurance Sales.
- Identifying, recruiting, and onboarding new agents - POSP, ensuring they meet company standards and are properly trained.
- Achieving Sales Target
- Providing ongoing training and development opportunities for agents, including product knowledge, sales techniques, and professional skills.
- Guiding agents in achieving sales targets, developing sales strategies, and identifying new business opportunities.
- Building and maintaining strong relationships with agents, providing support and addressing their needs.
- Tracking agent performance, identifying areas for improvement.
- Developing and implementing strategies to grow the agency channel, expand market share, and increase profitability.
- Serving as a point of contact between the agency and the company, coordinating with various departments to support the agent network.
- Required skills
- Proven working experience as an Insurance Agent or relevant experience from Insurance Broking Industry
- Familiarity with all types of insurance plans (automobile, fire, life, property, medical etc)
- Basic computer knowledge and statistical analysis
Python
Django
Flask
Amazon Web Services (AWS)Job Title: Senior Python Developer with AWS
Company: P99soft
Experience: 6+ years
Location: Hyderabad
Job Description:
P99soft, a leading technology company, is seeking a talented Senior Python Developer with expertise in AWS to join our dynamic team in Hyderabad. As a Senior Python Developer, you will play a key role in designing, implementing, and maintaining robust and scalable software solutions. If you have a passion for Python development and extensive experience with AWS technologies, we encourage you to apply and be a part of our innovative and collaborative work environment.
Responsibilities:
- Design, develop, test, and deploy high-performance and scalable Python applications.
- Collaborate with cross-functional teams to define and implement innovative solutions for the company's software needs.
- Work closely with stakeholders to understand business requirements and translate them into technical specifications.
- Utilize your expertise in AWS services to architect and implement cloud-based solutions.
- Troubleshoot and debug issues, ensuring the overall quality and performance of the software.
- Stay updated on industry trends and best practices to continuously improve software development processes.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Senior Python Developer with a minimum of 6 years of hands-on development experience.
- Strong proficiency in Python and experience with popular frameworks such as Django or Flask.
- In-depth knowledge of AWS services and experience with cloud-based architecture.
- Solid understanding of software development principles, design patterns, and best practices.
- Experience with database systems, both SQL and NoSQL.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced environment.
How to Apply:
If you have a passion for backend development, possess the required experience, and are excited about contributing to innovative projects, we invite you to apply. Please submit your resume, cover letter, and any relevant portfolio or project samples to Anusha Kalidindi/Sravani Chiruvolu
P99soft is an equal opportunity employer, dedicated to fostering diversity and creating an inclusive workplace for all employees.
PythonRole Overview:
We are seeking a Senior Software Engineer (SSE) with strong expertise in Kafka, Python, and Azure Databricks to lead and contribute to our healthcare data engineering initiatives. This role is pivotal in building scalable, real-time data pipelines and processing large-scale healthcare datasets in a secure and compliant cloud environment.
The ideal candidate will have a solid background in real-time streaming, big data processing, and cloud platforms, along with strong leadership and stakeholder engagement capabilities.
Key Responsibilities:
- Design and develop scalable real-time data streaming solutions using Apache Kafka and Python.
- Architect and implement ETL/ELT pipelines using Azure Databricks for both structured and unstructured healthcare data.
- Optimize and maintain Kafka applications, Python scripts, and Databricks workflows to ensure performance and reliability.
- Ensure data integrity, security, and compliance with healthcare standards such as HIPAA and HITRUST.
- Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into robust data solutions.
- Mentor junior engineers, perform code reviews, and promote engineering best practices.
- Stay current with evolving technologies in cloud, big data, and healthcare data standards.
- Contribute to the development of CI/CD pipelines and containerized environments (Docker, Kubernetes).
Required Skills & Qualifications:
- 4+ years of hands-on experience in data engineering roles.
- Strong proficiency in Kafka (including Kafka Streams, Kafka Connect, Schema Registry).
- Proficient in Python for data processing and automation.
- Experience with Azure Databricks (or readiness to ramp up quickly).
- Solid understanding of cloud platforms, with a preference for Azure (AWS/GCP is a plus).
- Strong knowledge of SQL and NoSQL databases; data modeling for large-scale systems.
- Familiarity with containerization tools like Docker and orchestration using Kubernetes.
- Exposure to CI/CD pipelines for data applications.
- Prior experience with healthcare datasets (EHR, HL7, FHIR, claims data) is highly desirable.
- Excellent problem-solving abilities and a proactive mindset.
- Strong communication and interpersonal skills to work in cross-functional teams.
Lead the development of advanced quantitative trading models and mentor junior engineers.
Minimum Qualification: Bachelor's or Master's degree in any field, provided the course includes Mathematics or Economics as a subject.
Experience: 4+ years of professional experience in any field, with a strong foundation in Mathematics or Economics.
Locations: London, New York, Mumbai, Hyderabad
How to Apply:
- Login to tacoi.paromint.com.
- Navigate to your Profile.
- Copy your wallet public address from the app.
- Include your wallet public address.
- Mention the job code SQE002.
- Attach your resume to the email.
Note: Candidates will be selected for interview based on their hedging ability, especially in options and commodity derivatives on tacoi.paromint.com.
Qualifications:*
1. 10+ years of experience, with 3+ years as Database Architect or related role
2. Technical expertise in data schemas, Amazon Redshift, Amazon S3, and Data Lakes
3. Analytical skills in data warehouse design and business intelligence
4. Strong problem-solving and strategic thinking abilities
5. Excellent communication skills
6. Bachelor's degree in Computer Science or related field; Master's degree preferred
*Skills Required:*
1. Database architecture and design
2. Data warehousing and business intelligence
3. Cloud-based data infrastructure (Amazon Redshift, S3, Data Lakes)
4. Data governance and security
5. Analytical and problem-solving skills
6. Strategic thinking and communication
7. Collaboration and team management
Java
Scala
React.js
NodeJS (Node.js)Python
Javascript
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