Developer Experience Engineer at DRW

Chicago, Illinois, United States

DRW Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Trading, Finance, TechnologyIndustries

Requirements

  • Strong relationship building and communication skills, with the drive to positively influence all areas of the organization's software delivery life cycle (SDLC)
  • Stellar written communication skills
  • Pragmatic approach, balancing present needs with future optimizations for sustainable solutions
  • Problem-solving ability, comfortable handling tasks from troubleshooting low-level OS issues to architecting robust artifact storage solutions
  • Passion for Continuous Integration and Delivery (CI/CD)
  • Intrinsically motivated, curious, dedicated to learning, and collaborative
  • Experience in debugging and triaging complex systems
  • Strong technical background
  • Ability to work in office 3 days per week

Responsibilities

  • Collaborate with leaders, trading teams, and developers to act as a force multiplier for the engineering population across the company
  • Work within a team with product and technical ownership of services provided by the Developer Experience team, including source control, build artifact repositories, AI-powered development tools, and other software development and delivery tools
  • Participate in a scheduled support rotation to help internal engineering teams get the most out of developer platforms, including diagnosing complex CI workflows, managing central infrastructure in Kubernetes, and ensuring tools are fully leveraged
  • Investigate and resolve intricate systems or build issues during support rotations, building relationships with other DRW development teams
  • Improve service reliability, performance, and observability of firm-wide critical infrastructure and tooling
  • Work in a hybrid infrastructure environment (cloud and on-prem), using infrastructure-as-code patterns to manage and scale services
  • Educate users on tools, conduct end-user demonstrations as needed, and maintain high-quality self-service documentation

Skills

Observability
Alerting
Troubleshooting
Developer Workflows
Service Ownership
Software Engineering

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters
2001Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Daily catered breakfast & lunch
Massages
Social events
Gym subsidy
Flexible work arrangements
Monthly tastings
Game room
On-site yoga classes and meditation
Employee led affinity groups
Mentor/mentee outings
Trivia nights
Educational opportunities
DRW-sponsored sports teams
Poker tournament
Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.
Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.
They operate using their own capital, allowing quick pivots to capture opportunities.
DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.
DeFi platforms offer new opportunities for higher returns in crypto-assets.
Quantum computing revolutionizes trading strategies with faster, complex data analysis.

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