Rothstein Recruitment Ltd
Software Engineer - Golang - AWS - Kubernetes - Financial Services Excellent opportunity opens for a talented Golang Developer with strong experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: Design, develop, and maintain high-performance Back End services using Golang to support financial applications and services, including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS) , including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes , ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security. Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs. Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services. Implement CI/CD pipelines , automated testing, and monitoring systems to ensure the reliability and stability of production systems. Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability. Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes. About You: Proven experience (2+ years) in Golang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS) , including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics . Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation ). Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios. Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment. Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka , RabbitMQ ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance monitoring and observability tools such as CloudWatch , Prometheus , or Datadog . Interested? Please Apply! Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible
Software Engineer - Golang - AWS - Kubernetes - Financial Services Excellent opportunity opens for a talented Golang Developer with strong experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: Design, develop, and maintain high-performance Back End services using Golang to support financial applications and services, including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS) , including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes , ensuring seamless orchestration, scaling, and resilience in a cloud environment. Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security. Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs. Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services. Implement CI/CD pipelines , automated testing, and monitoring systems to ensure the reliability and stability of production systems. Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability. Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes. About You: Proven experience (2+ years) in Golang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications. Strong experience working with Amazon Web Services (AWS) , including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies. Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment. Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics . Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation ). Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios. Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment. Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka , RabbitMQ ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance monitoring and observability tools such as CloudWatch , Prometheus , or Datadog . Interested? Please Apply! Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible
Request Technology - Robyn Honquest
Chicago, Illinois
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
Request Technology
Contract - Senior Cyber Risk Management Analyst Rate: Open Location: Remote Duration: 1 year Qualifications Bachelor's degree Minimum 5-8 years of experience in cyber security, compliance, cyber risk assessment, or security auditing. Working knowledge of NIST 800-53, NIST 800-171, and FedRamp. Demonstrated experience assessing both on-premises and cloud-based cyber risk management controls (Azure and Oracle Cloud Infrastructure) Familiarity with technology management methodologies (DevOps, SAFe, ITIL) Expertise in multiple cyber risk management domains Understanding of cyber risk management oversight and administration processes, security architecture, technical security controls, and data protection strategies. Excellent communication and report-writing abilities. Ability to work independently and lead cyber risk management assessments. Strong understanding of regulatory compliance and risk management principles. Responsibilities Cyber Risk Management Capability Assessments: Conduct in-depth assessments of the effectiveness of cyber risk management capabilities within the organization. Gap Analysis: Identify gaps in cyber risk management capability effectiveness and provide recommendations for enhancing the organization's cyber risk management posture. Documentation & Reporting: Develop detailed reports and documentation on assessment findings, remediation plans, and effective metrics. Stakeholder Collaboration: Work closely with cyber risk management, technology, and business partners to ensure that cyber risk management capabilities are effective. Compliance, Standards, and Regulatory Alignment: Ensure adherence to regulatory and industry standard requirements such as NIST 800-53, SOC 2, 23 NYCRR 500, NAIC Model Law, and HIPAA, by harmonizing those requirement sets to the enterprise cyber risk management requirement framework. As regulations and standards are introduced and updated, enhance and extend the framework.
Contract - Senior Cyber Risk Management Analyst Rate: Open Location: Remote Duration: 1 year Qualifications Bachelor's degree Minimum 5-8 years of experience in cyber security, compliance, cyber risk assessment, or security auditing. Working knowledge of NIST 800-53, NIST 800-171, and FedRamp. Demonstrated experience assessing both on-premises and cloud-based cyber risk management controls (Azure and Oracle Cloud Infrastructure) Familiarity with technology management methodologies (DevOps, SAFe, ITIL) Expertise in multiple cyber risk management domains Understanding of cyber risk management oversight and administration processes, security architecture, technical security controls, and data protection strategies. Excellent communication and report-writing abilities. Ability to work independently and lead cyber risk management assessments. Strong understanding of regulatory compliance and risk management principles. Responsibilities Cyber Risk Management Capability Assessments: Conduct in-depth assessments of the effectiveness of cyber risk management capabilities within the organization. Gap Analysis: Identify gaps in cyber risk management capability effectiveness and provide recommendations for enhancing the organization's cyber risk management posture. Documentation & Reporting: Develop detailed reports and documentation on assessment findings, remediation plans, and effective metrics. Stakeholder Collaboration: Work closely with cyber risk management, technology, and business partners to ensure that cyber risk management capabilities are effective. Compliance, Standards, and Regulatory Alignment: Ensure adherence to regulatory and industry standard requirements such as NIST 800-53, SOC 2, 23 NYCRR 500, NAIC Model Law, and HIPAA, by harmonizing those requirement sets to the enterprise cyber risk management requirement framework. As regulations and standards are introduced and updated, enhance and extend the framework.
