DevOps Engineer

2 months ago

Hyderabad, India 4S Advisory Full time

Alert from 4S Advisory ( Urgent Requirement for a Software startup

Position : DevOps Engineer

Experience : 5 - 15 Years

Open Positions : 3

5 yrs, 6 - 10 yrs and 10 - 15yrs

Job Type : Full-time

Location : 5 days working

Timings : 9 am to 6 pm

Key Duties & Responsibilities

1. Automation of Processes :

- Automate trading system deployments, configuration, and monitoring to minimize manual errors and ensure rapid, consistent updates across environments.

- Develop scripts and tools to automate repetitive tasks, such as environment provisioning, software deployments, and database updates, using tools like Ansible, Jenkins, or Terraform.

2. High-Frequency Trading (HFT) System Optimization :

- Optimize CI/CD pipelines for ultra-low latency and high-throughput trading systems to support continuous delivery of trading algorithms and infrastructure updates.

- Ensure that deployment and testing processes do not impact the performance of trading operations.

3. Infrastructure Management and Scalability :

- Manage cloud and on-premises infrastructures tailored for trading environments, focusing on low latency, high availability, and failover strategies.

- Use Infrastructure as Code (IaC) to provision scalable and secure environments that can handle fluctuating loads typical in trading operations.

4. Monitoring and Real-Time Logging :

- Implement monitoring tools to track system performance, trade execution times, and infrastructure health in real-time.

- Setup sophisticated logging mechanisms for trade data, errors, and performance metrics, ensuring traceability and quick troubleshooting during incidents.

5. Security and Compliance :

- Integrate security best practices into the DevOps pipeline, including real-time security scans, vulnerability assessments, and access control tailored for financial data protection.

- Ensure that all systems comply with financial regulations such as GDPR, MiFID II, and SEC rules, including managing audit logs and data retention policies.

6. Disaster Recovery and High Availability :

- Design and maintain disaster recovery solutions to ensure continuity in trading operations during outages or data breaches.

- Implement redundancy and failover strategies to maintain trading platform uptime, minimizing the risk of costly downtimes.

7. Performance Optimization for Trading Systems :

- Fine-tune infrastructure and CI/CD pipelines to reduce deployment times and latency, crucial for real-time trading environments.

- Work on system performance to support the rapid execution of trades, data feeds, and order matching systems.

8. Incident Management and Troubleshooting :

- Rapidly respond to incidents affecting trading operations, performing root cause analysis and implementing corrective measures to prevent reoccurrence.

- Ensure detailed incident reporting and documentation to support regulatory requirements.

9. Configuration Management :

- Maintain configuration consistency across multiple environments (dev, test, prod) using tools like Puppet, Chef, or SaltStack.

- Ensure configurations meet the stringent security and performance standards required for trading platforms.

10. Collaboration with Development and Trading Teams :

- Work closely with developers, quants, and traders to ensure smooth deployment of new trading algorithms and updates to trading platforms.

- Facilitate communication between development, trading desks, and compliance teams to ensure that changes are in line with business requirements and regulations.

11. Risk Management :

- Implement risk management controls within the DevOps pipeline to minimize the impact of potential system failures on trading operations.

- Work with risk and compliance teams to ensure that deployment and infrastructure changes do not expose trading systems to unnecessary risks.

12. Cloud Services and Cost Optimization :

- Deploy, manage, and scale trading applications on cloud platforms like AWS, Azure, or Google Cloud, with a focus on minimizing costs without compromising performance.

- Utilize cloud-native services such as AWS Lambda or Azure Functions for event-driven processes in trading workflows.

13. Version Control and Code Management :

- Manage the versioning of trading algorithms and platform updates using Git or similar tools, ensuring traceability and quick rollback capabilities if issues arise.

- Establish rigorous code review processes to ensure that changes align with performance and security standards specific to trading systems.

(ref:hirist.tech)

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