Job Roles at Interswitch – Apply Now

• The Infrastructure Security Engineer will be responsible for implementing and maintaining security controls across Interswitch’s infrastructure landscape. This includes securing cloud and on-premises systems, ensuring effective vulnerability management and supporting compliance with internal and regulatory standards. The role will work closely with IT, DevOps, and Security Operations teams to ensure a robust, scalable, and resilient security posture.

RESPONSIBILITIES

• Implement and manage security solutions across enterprise systems, networks, and cloud environments.
• Support infrastructure hardening and configuration management to align with organizational security standards.
• Perform vulnerability assessments, maintain patch lifecycle across enterprise assets, coordinate remediation efforts, and track closure of identified risks.
• Assist in designing and maintaining security architecture for cloud (AWS, Azure, GCP) and on-premises systems.
• Collaborate with the Incident Response team during investigations and contribute to root cause analysis.
• Engage relevant teams to ensure security processes automation and enforce compliance on the infrastructure, including CI/CD pipelines.
• Participate in regular security reviews, penetration testing exercises, and threat modeling activities.
• Contribute to developing and maintaining infrastructure security standards, policies, and documentation.
• Stay updated on emerging threats, vulnerabilities, and security technologies relevant to Interswitch’s environment. Interswitch –

ROLE REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Security, or related field.
• 3–6 years of experience in information or infrastructure security, preferably within financial technology or enterprise environments.
• Experience implementing and managing security controls across cloud and on-premise infrastructure.
• Knowledge of systems administration, network security, firewalls, VPNs, IDS/IPS, endpoint protection, and vulnerability management tools.
• Familiarity with cloud security principles and services on AWS, Azure, or GCP.
• Understanding of security frameworks such as ISO 27001, NIST, and CIS benchmarks.
• Hands-on experience with scripting or automation (Python, PowerShell, Terraform, or Ansible) for security enforcement.
• Ability to analyze logs and security events and respond to incidents in collaboration with SOC teams.
• Relevant certifications preferred: CompTIA Security+, CEH, CCSP, AWS Certified Security Speciality, or equivalent

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About the job

• To build reliable data integration solutions, clean, transform, and analyze vast amounts of big data from various systems using Spark and other ETL tools to provide ready-to-use dataset to data scientists and data analysts, while ensuring data quality and integrity. Collaborate with stakeholders to design scalable and efficient data solutions that enable informed decision-making, and compliance with data governance.

RESPONSIBILITIES

Data Ingestion and Extraction

• Develop and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
• Ensure data integrity and quality during the ingestion process.
• Integrate various data sources and formats into a unified data ecosystem.

Data Processing and Transformation

• Design and execute data processing workflows to clean, transform, and enrich raw data.
• Develop scalable data processing algorithms and techniques to handle big data volumes efficiently.
• Optimize data processing pipelines for performance and reliability.

Data Storage and Management

• Create and maintain data storage architectures that cater to the specific needs of big data applications.
• Implement robust data management strategies, including data partitioning, indexing, and compression techniques.
• Ensure data security, privacy, and compliance with relevant regulations.

Data Analysis and Modeling

• Collaborate with data scientists and analysts to understand their requirements and translate them into scalable data models.
• Apply data visualization techniques to communicate insights effectively.

Performance Optimization

• Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
• Conduct performance tuning, load testing, and capacity planning to meet scalability and throughput requirements.
• Monitor system performance and troubleshoot issues related to data processing, storage, and retrieval.

Data Governance and Compliance

• Establish and enforce data governance policies, standards, and best practices.
• Ensure compliance with data regulations such as GDPR or HIPAA by implementing appropriate data protection measures.
• Conduct data audits and implement data quality controls to maintain data accuracy and consistency.

Collaboration and Communication

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide technical support.
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
• Participate in knowledge-sharing activities and contribute to the continuous improvement of data engineering practices.

Documentation and Reporting

• Document data engineering processes, workflows, and system architectures for future reference and knowledge transfer.
• Prepare technical documentation, including data dictionaries, data lineage, and system specifications.
• Create and maintain documentation related to data governance, compliance, and security protocols.

EDUCATION

General Education

• BSc in Computer Science, Computer Engineering, or a related field.
• Evidence of strong industry or sector participation and possession of relevant professional certifications such as:
• Microsoft Azure Data Engineer Associate
• Databricks Certified Data Engineer Associate
• Databricks Certified Data Engineer Professional
• Amazon Web Services (AWS) Certified Data Analytics – Specialty
• Cloudera Data Platform Generalist Certification
• Data Science Council of America (DASCA) Associate Big Data Engineer
• Data Science Council of America (DASCA) Senior Big Data Engineer
• Google Professional Data Engineer
• IBM Certified Solution Architect – Cloud Pak for Data v4.x
• IBM Certified Solution Architect – Data Warehouse V1

EXPERIENCE

General Experience

• Minimum of 7 years’ experience developing, deploying, and managing robust ETL/ELT data solutions, preferably within a reputable Financial Institution or FinTech company.
• Demonstrated experience in building and maintaining scalable data pipelines, integrating multiple data sources, and ensuring end-to-end data quality and performance.
• Proven track record of collaborating with cross-functional teams (Data Scientists, Engineers, and Analysts) to deliver high-impact, data-driven insights and systems.