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Roles and Responsibilities

• Design and architect scalable, highly available, and resilient AWS infrastructure.

• Lead cloud infrastructure engineering and reliability initiatives across AWS environments.

• Develop and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation (YAML).

• Design and manage AWS services including EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, and RDS.

• Automate infrastructure provisioning, configuration, deployment, and operational processes.

• Establish best practices for reliability, scalability, availability, performance, and disaster recovery.

• Troubleshoot complex infrastructure and production issues and perform root-cause analysis.

• Develop automation and operational tooling using Python.

• Collaborate with application, security, DevOps, and engineering teams to deliver robust cloud solutions.

• Contribute to cloud architecture standards, engineering practices, and continuous improvement initiatives.

• Provide technical leadership and mentorship to cloud and infrastructure engineering teams.

Required Qualifications & Skills

• Significant experience in AWS architecture, cloud engineering, infrastructure engineering, or SRE.

• Strong hands-on experience with AWS cloud services and enterprise infrastructure.

• AWS Certified Solutions Architect – Professional certification preferred/required.

• Strong knowledge of Infrastructure as Code, particularly Terraform and CloudFormation YAML.

• Hands-on experience with: EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, RDS

• Strong Python scripting and automation skills.

• Experience designing highly available, scalable, and resilient cloud architectures.

• Strong troubleshooting, problem-solving, and technical leadership capabilities.

• Ability to work across architecture, engineering, development, and operations teams.

Roles and Responsibilities

• Design and architect scalable, highly available, and resilient AWS infrastructure.

• Lead cloud infrastructure engineering and reliability initiatives across AWS environments.

• Develop and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation (YAML).

• Design and manage AWS services including EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, and RDS.

• Automate infrastructure provisioning, configuration, deployment, and operational processes.

• Establish best practices for reliability, scalability, availability, performance, and disaster recovery.

• Troubleshoot complex infrastructure and production issues and perform root-cause analysis.

• Develop automation and operational tooling using Python.

• Collaborate with application, security, DevOps, and engineering teams to deliver robust cloud solutions.

• Contribute to cloud architecture standards, engineering practices, and continuous improvement initiatives.

• Provide technical leadership and mentorship to cloud and infrastructure engineering teams.

Required Qualifications & Skills

• Significant experience in AWS architecture, cloud engineering, infrastructure engineering, or SRE.

• Strong hands-on experience with AWS cloud services and enterprise infrastructure.

• AWS Certified Solutions Architect – Professional certification preferred/required.

• Strong knowledge of Infrastructure as Code, particularly Terraform and CloudFormation YAML.

• Hands-on experience with: EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, RDS

• Strong Python scripting and automation skills.

• Experience designing highly available, scalable, and resilient cloud architectures.

• Strong troubleshooting, problem-solving, and technical leadership capabilities.

• Ability to work across architecture, engineering, development, and operations teams.

Roles and Responsibilities

• Design and architect scalable, highly available, and resilient AWS infrastructure.

• Lead cloud infrastructure engineering and reliability initiatives across AWS environments.

• Develop and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation (YAML).

• Design and manage AWS services including EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, and RDS.

• Automate infrastructure provisioning, configuration, deployment, and operational processes.

• Establish best practices for reliability, scalability, availability, performance, and disaster recovery.

• Troubleshoot complex infrastructure and production issues and perform root-cause analysis.

• Develop automation and operational tooling using Python.

• Collaborate with application, security, DevOps, and engineering teams to deliver robust cloud solutions.

• Contribute to cloud architecture standards, engineering practices, and continuous improvement initiatives.

• Provide technical leadership and mentorship to cloud and infrastructure engineering teams.

Required Qualifications & Skills

• Significant experience in AWS architecture, cloud engineering, infrastructure engineering, or SRE.

• Strong hands-on experience with AWS cloud services and enterprise infrastructure.

• AWS Certified Solutions Architect – Professional certification preferred/required.

• Strong knowledge of Infrastructure as Code, particularly Terraform and CloudFormation YAML.

• Hands-on experience with: EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, RDS

• Strong Python scripting and automation skills.

• Experience designing highly available, scalable, and resilient cloud architectures.

• Strong troubleshooting, problem-solving, and technical leadership capabilities.

• Ability to work across architecture, engineering, development, and operations teams.

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

We are seeking a Senior Associate Developer (5–6 years’ experience) to join the Market Risk Technology team. You will design and build reliable Python-based data pipelines and curated datasets that support daily risk analytics. The role emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership from planning through production and support.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5–6 years of hands-on Python for data processing and automation (e.g., pandas; packaging, testing).
• Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines.
• Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals.
• Proficiency with Git-based workflows and CI/CD; familiarity with production change management.
• Demonstrated ability to take ownership of a project or feature set, coordinate across teams, and deliver on time.
• Strong analytical and communication skills; collaborative approach with risk and business stakeholders.

Preferred Qualifications:

• SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning.
• Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark.
• Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics.
• Familiarity with market risk concepts (e.g., sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition).
• Experience using generative AI tools for code generation, testing, and developer productivity (e.g., accelerating boilerplate, refactoring, and documentation), with appropriate engineering controls (peer review, automated testing, and secure usage practices).

Key Responsibilities:

• Design and implement Market Risk data pipelines in Python—from ingestion and transformation through delivery to analytics consumers.
• Own projects/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
• Apply data quality controls (validation, reconciliation, lineage) and monitor SLAs to ensure accuracy and timeliness.
• Improve performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk/business requirements into clear technical tasks and deliver features through Agile sprints.
• Automate routine workflows (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
• Participate in production support, assist with incident resolution, and document fixes and runbooks.
• Create concise technical documentation, share knowledge with the team, and mentor junior engineers as needed.

Roles and Responsibilities

• Design and architect scalable, highly available, and resilient AWS infrastructure.

• Lead cloud infrastructure engineering and reliability initiatives across AWS environments.

• Develop and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation (YAML).

• Design and manage AWS services including EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, and RDS.

• Automate infrastructure provisioning, configuration, deployment, and operational processes.

• Establish best practices for reliability, scalability, availability, performance, and disaster recovery.

• Troubleshoot complex infrastructure and production issues and perform root-cause analysis.

• Develop automation and operational tooling using Python.

• Collaborate with application, security, DevOps, and engineering teams to deliver robust cloud solutions.

• Contribute to cloud architecture standards, engineering practices, and continuous improvement initiatives.

• Provide technical leadership and mentorship to cloud and infrastructure engineering teams.

Required Qualifications & Skills

• Significant experience in AWS architecture, cloud engineering, infrastructure engineering, or SRE.

• Strong hands-on experience with AWS cloud services and enterprise infrastructure.

• AWS Certified Solutions Architect – Professional certification preferred/required.

• Strong knowledge of Infrastructure as Code, particularly Terraform and CloudFormation YAML.

• Hands-on experience with: EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, RDS

• Strong Python scripting and automation skills.

• Experience designing highly available, scalable, and resilient cloud architectures.

• Strong troubleshooting, problem-solving, and technical leadership capabilities.

• Ability to work across architecture, engineering, development, and operations teams.

We are seeking a Senior Associate Developer (5–6 years’ experience) to join the Market Risk Technology team. You will design and build reliable Python-based data pipelines and curated datasets that support daily risk analytics. The role emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership from planning through production and support.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5–6 years of hands-on Python for data processing and automation (e.g., pandas; packaging, testing).
• Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines.
• Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals.
• Proficiency with Git-based workflows and CI/CD; familiarity with production change management.
• Demonstrated ability to take ownership of a project or feature set, coordinate across teams, and deliver on time.
• Strong analytical and communication skills; collaborative approach with risk and business stakeholders.

Preferred Qualifications:

• SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning.
• Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark.
• Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics.
• Familiarity with market risk concepts (e.g., sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition).
• Experience using generative AI tools for code generation, testing, and developer productivity (e.g., accelerating boilerplate, refactoring, and documentation), with appropriate engineering controls (peer review, automated testing, and secure usage practices).

Key Responsibilities:

• Design and implement Market Risk data pipelines in Python—from ingestion and transformation through delivery to analytics consumers.
• Own projects/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
• Apply data quality controls (validation, reconciliation, lineage) and monitor SLAs to ensure accuracy and timeliness.
• Improve performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk/business requirements into clear technical tasks and deliver features through Agile sprints.
• Automate routine workflows (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
• Participate in production support, assist with incident resolution, and document fixes and runbooks.
• Create concise technical documentation, share knowledge with the team, and mentor junior engineers as needed.

We are seeking a Senior Associate Developer (5–6 years’ experience) to join the Market Risk Technology team. You will design and build reliable Python-based data pipelines and curated datasets that support daily risk analytics. The role emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership from planning through production and support.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5–6 years of hands-on Python for data processing and automation (e.g., pandas; packaging, testing).
• Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines.
• Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals.
• Proficiency with Git-based workflows and CI/CD; familiarity with production change management.
• Demonstrated ability to take ownership of a project or feature set, coordinate across teams, and deliver on time.
• Strong analytical and communication skills; collaborative approach with risk and business stakeholders.

Preferred Qualifications:

• SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning.
• Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark.
• Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics.
• Familiarity with market risk concepts (e.g., sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition).
• Experience using generative AI tools for code generation, testing, and developer productivity (e.g., accelerating boilerplate, refactoring, and documentation), with appropriate engineering controls (peer review, automated testing, and secure usage practices).

Key Responsibilities:

• Design and implement Market Risk data pipelines in Python—from ingestion and transformation through delivery to analytics consumers.
• Own projects/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
• Apply data quality controls (validation, reconciliation, lineage) and monitor SLAs to ensure accuracy and timeliness.
• Improve performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk/business requirements into clear technical tasks and deliver features through Agile sprints.
• Automate routine workflows (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
• Participate in production support, assist with incident resolution, and document fixes and runbooks.
• Create concise technical documentation, share knowledge with the team, and mentor junior engineers as needed.

We are seeking a Senior Associate Developer (5–6 years’ experience) to join the Market Risk Technology team. You will design and build reliable Python-based data pipelines and curated datasets that support daily risk analytics. The role emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership from planning through production and support.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5–6 years of hands-on Python for data processing and automation (e.g., pandas; packaging, testing).
• Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines.
• Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals.
• Proficiency with Git-based workflows and CI/CD; familiarity with production change management.
• Demonstrated ability to take ownership of a project or feature set, coordinate across teams, and deliver on time.
• Strong analytical and communication skills; collaborative approach with risk and business stakeholders.

Preferred Qualifications:

• SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning.
• Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark.
• Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics.
• Familiarity with market risk concepts (e.g., sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition).
• Experience using generative AI tools for code generation, testing, and developer productivity (e.g., accelerating boilerplate, refactoring, and documentation), with appropriate engineering controls (peer review, automated testing, and secure usage practices).

Key Responsibilities:

• Design and implement Market Risk data pipelines in Python—from ingestion and transformation through delivery to analytics consumers.
• Own projects/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
• Apply data quality controls (validation, reconciliation, lineage) and monitor SLAs to ensure accuracy and timeliness.
• Improve performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk/business requirements into clear technical tasks and deliver features through Agile sprints.
• Automate routine workflows (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
• Participate in production support, assist with incident resolution, and document fixes and runbooks.
• Create concise technical documentation, share knowledge with the team, and mentor junior engineers as needed.

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

Key Responsibilities:

• Design, analyze, test, implement, and support mainframe systems.
• Manage deployments in a highly granular SYSPLEX environment.
• Administer Snowflake DB, including users, roles, RBAC, databases, schemas, and objects.
• Manage Snowflake warehouse sizing based on business requirements.
• Create network policies and perform IP whitelisting in Snowflake.
• Develop and enhance automation, reporting, and installation scripts using JCL, REXX, and Python.
• Maintain system quality, automation processes, and operational standards.
• Support risk and control processes and contribute to continuous improvement.

Must-Have Skills:

• Python
• Snowflake DB
• Snowflake Administration & RBAC
• Mainframe / SYSPLEX
• JCL & REXX
• Automation and scripting

We are seeking a Senior Associate Developer (5–6 years’ experience) to join the Market Risk Technology team. You will design and build reliable Python-based data pipelines and curated datasets that support daily risk analytics. The role emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership from planning through production and support.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5–6 years of hands-on Python for data processing and automation (e.g., pandas; packaging, testing).
• Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines.
• Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals.
• Proficiency with Git-based workflows and CI/CD; familiarity with production change management.
• Demonstrated ability to take ownership of a project or feature set, coordinate across teams, and deliver on time.
• Strong analytical and communication skills; collaborative approach with risk and business stakeholders.

Preferred Qualifications:

• SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning.
• Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark.
• Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics.
• Familiarity with market risk concepts (e.g., sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition).
• Experience using generative AI tools for code generation, testing, and developer productivity (e.g., accelerating boilerplate, refactoring, and documentation), with appropriate engineering controls (peer review, automated testing, and secure usage practices).

Key Responsibilities:

• Design and implement Market Risk data pipelines in Python—from ingestion and transformation through delivery to analytics consumers.
• Own projects/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
• Apply data quality controls (validation, reconciliation, lineage) and monitor SLAs to ensure accuracy and timeliness.
• Improve performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk/business requirements into clear technical tasks and deliver features through Agile sprints.
• Automate routine workflows (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
• Participate in production support, assist with incident resolution, and document fixes and runbooks.
• Create concise technical documentation, share knowledge with the team, and mentor junior engineers as needed.

Roles and Responsibilities

• Design and architect scalable, highly available, and resilient AWS infrastructure.

• Lead cloud infrastructure engineering and reliability initiatives across AWS environments.

• Develop and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation (YAML).

• Design and manage AWS services including EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, and RDS.

• Automate infrastructure provisioning, configuration, deployment, and operational processes.

• Establish best practices for reliability, scalability, availability, performance, and disaster recovery.

• Troubleshoot complex infrastructure and production issues and perform root-cause analysis.

• Develop automation and operational tooling using Python.

• Collaborate with application, security, DevOps, and engineering teams to deliver robust cloud solutions.

• Contribute to cloud architecture standards, engineering practices, and continuous improvement initiatives.

• Provide technical leadership and mentorship to cloud and infrastructure engineering teams.

Required Qualifications & Skills

• Significant experience in AWS architecture, cloud engineering, infrastructure engineering, or SRE.

• Strong hands-on experience with AWS cloud services and enterprise infrastructure.

• AWS Certified Solutions Architect – Professional certification preferred/required.

• Strong knowledge of Infrastructure as Code, particularly Terraform and CloudFormation YAML.

• Hands-on experience with: EC2, ECS, Route 53, Elastic Load Balancing, Lambda, SQS, S3, EFS, RDS

• Strong Python scripting and automation skills.

• Experience designing highly available, scalable, and resilient cloud architectures.

• Strong troubleshooting, problem-solving, and technical leadership capabilities.

• Ability to work across architecture, engineering, development, and operations teams.

We are seeking a Senior Associate Developer (5–6 years’ experience) to join the Market Risk Technology team. You will design and build reliable Python-based data pipelines and curated datasets that support daily risk analytics. The role emphasizes hands-on delivery, data quality, performance, and collaboration with risk and business stakeholders, with ownership from planning through production and support.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5–6 years of hands-on Python for data processing and automation (e.g., pandas; packaging, testing).
• Solid understanding of data modeling and ETL/ELT patterns; experience building maintainable pipelines.
• Experience implementing data quality checks and operational monitoring aligned to accuracy/timeliness goals.
• Proficiency with Git-based workflows and CI/CD; familiarity with production change management.
• Demonstrated ability to take ownership of a project or feature set, coordinate across teams, and deliver on time.
• Strong analytical and communication skills; collaborative approach with risk and business stakeholders.

Preferred Qualifications:

• SQL skills in at least one major dialect (e.g., Oracle, SQL Server, PostgreSQL), including performance tuning.
• Experience with Databricks (Python notebooks, Delta Lake/Unity Catalog) and/or PySpark.
• Knowledge of cloud data platforms (e.g., AWS, Azure), including object storage (S3/ADLS) and IAM basics.
• Familiarity with market risk concepts (e.g., sensitivities/Greeks, VaR, stress testing, limits, P&L decomposition).
• Experience using generative AI tools for code generation, testing, and developer productivity (e.g., accelerating boilerplate, refactoring, and documentation), with appropriate engineering controls (peer review, automated testing, and secure usage practices).

Key Responsibilities:

• Design and implement Market Risk data pipelines in Python—from ingestion and transformation through delivery to analytics consumers.
• Own projects/features end-to-end: scope work, align with stakeholders, plan sprints, track progress, and deliver to SLAs.
• Apply data quality controls (validation, reconciliation, lineage) and monitor SLAs to ensure accuracy and timeliness.
• Improve performance and reliability of batch and near-real-time workflows through profiling and targeted optimization.
• Translate risk/business requirements into clear technical tasks and deliver features through Agile sprints.
• Automate routine workflows (packaging, testing, CI/CD, scheduling) and contribute to coding standards and reviews.
• Participate in production support, assist with incident resolution, and document fixes and runbooks.
• Create concise technical documentation, share knowledge with the team, and mentor junior engineers as needed.