Goldman Sachs Software Engineering Job Alerts | Bengaluru

Qualifications

• A strong grounding in software engineering concepts and implementation of architecture design patterns.
• A good understanding of multiple aspects of software development in microservices architecture, full stack development experience, Identity / access management and technology risk.
• Sound SDLC and practices and tooling experience – version control, CI/CD and configuration management tools.
• Ability to communicate technical concepts effectively, both written and orally, as well as interpersonal skills required to collaborate effectively with colleagues across diverse technology teams.
• Experience meeting demands for high availability and scalable system requirements.
• Ability to reason about performance, security, and process interactions in complex distributed systems.
• Ability to understand and effectively debug both new and existing software.
• Experience with metrics and monitoring tooling, including the ability to use metrics to rationally derive system health and availability information.
• Experience in auditing and supporting software based on sound SRE principles.

Preferred Qualifications

• 2-5 Experience using and/or supporting Java based frameworks & SQL / NOSQL data stores.
• Experience with deploying software to containerized environments – Kubernetes/Docker.
• Scripting skills using Python, Shell or bash.
• Experience with Terraform or similar infrastructure-as-code platforms.
• Experience building services using public cloud providers such as AWS, Azure or GCP.

How will you fulfill your potential?

• Work with a global team of highly motivated platform engineers and software developers building integrated architectures for secure, scalable infrastructure services serving a diverse set of use cases.
• Partner with colleagues from across technology and risk to ensure an outstanding platform is delivered.
• Help to provide frictionless integration with the firm’s runtime, deployment and SDLC technologies.
• Collaborate on feature design and problem solving.
• Help to ensure reliability, define, measure, and meet service level objectives.
• Quality coding & integration, testing, release, and demise of software products supporting AWM functions.
• Engage in quality assurance and production troubleshooting.
• Help to communicate and promote best practices for software engineering across the Asset Management tech stack.