Compliance-Dallas-DevOps-Software Engineering

WHAT WE DO:

We are Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems. We build and operate a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm, have access to the latest technology and to massive amounts of structured and unstructured data, leverage modern frameworks to build responsive and intuitive front end and Big Data applications. The firm is making a significant investment to uplift and rebuild the Compliance application portfolio.

DevOps at Goldman Sachs combines software and systems engineering to build run, and maintain high performant, distributed, fault tolerant systems. As a DevOps Engineer you will be filling a mission-critical role ensuring that our systems are healthy, monitored, automated, and designed to scale. You will collaborate with engineering teams to continually improve our production services, facilitating fast delivery of new services, and reducing downtime. DevOps utilizes automation, tools and solid engineering principles to optimize existing systems, build infrastructure and eliminate operational work.

We are looking for passionate, curious, driven engineers who thrive on solving operational problems and improving efficiency and would like to apply their skills to Compliance Engineering DevOps.

Job Responsibilities:

• Proactive management of our production services by measuring and monitoring availability, capacity and overall system health.
• Shaping software before go-live through activities such as system design consulting, capacity planning and launch reviews.
• Scaling and evolving systems by pushing for changes that improve capacity and reliability.
• Practicing sustainable incident management in a blameless postmortem culture
• Identifying and building improvements to system behavior, control and monitoring tools.

WHAT WE ARE LOOKING FOR:

Technical Skills:

• Experience in one or more of the following: Java, Python and Perl.
• Strong communication skills and the ability to clearly express ideas and arguments.
• Solid analytical and problem-solving skills with appreciation of technical risk
• Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design.
• Systematic problem-solving approach and a sense of ownership and drive.
• Ability to debug and optimize code and to automate routine tasks.

Preferred Qualifications:

• Bachelor's degree in Computer Science, or a related technical field that involves programming.
• Minimum of 2 years technology experience in a commercial environment
• Experience in some of the following is desired: DevOps/SRE experience, relational databases, Hadoop and big data technologies, knowledge of the financial industry or compliance/risk functions.

Interpersonal Skills:

• Passionate about solving operational problems and constant improvement via automation.
• Highly motivated, pro-active and capable of working under pressure without compromising development processes.
• Strong, committed and reliable team player and strong communicator, able to take direction but also willing to contribute to discussions on design and strategy
• Possess client-facing skills to be able to deal with and form good relationships with the business and other technology groups through day-to-day support and project work
• Ability to multi-task and be effective working in a fast-paced environment
• Interest in financial markets, technology and the ability to learn

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.