Sdlc Engineer

You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiles fast, tests comprehensively and is distributed widely. You will deliver CI/CD solutions that support cloud native development and contribute to our efforts to move the firm to a cloud-based mobile SDLC. You could be working with cutting edge build technology from Google, or the latest cloud technology in one of more backend languages including Java, Golang, Python, C++.

SDLC Platforms include:

- Build / Development
- GitLab - The firm's strategic vendor CI/CD platform, hosted in-house with instances on-prem and on public cloud.
- In-house developed Configuration Database (CD) tools for deploying Software packages, config, and Infrastructure as Code.
- SecDb ecosystem - Proprietary securities language used in SecDb, Java / Scala mono-repo that integrates with Slang and SecDb, CI/CD platform for the C++ / Java of SecDb and non-SecDb teams.
- Artifact Hosting & Ingestion - Primary build artifact repository hosting terabytes of internal and external software packages, and industry standard asset repos such as Maven Central, NPMScopes and PyPi running on Sonatype Nexus.
- Testing - A high scale parallel testing environment for executing millions of automated tests daily.
- Distribution - Linux and Windows software distribution system used by Gitlab, Conductor Software Factory and Train.

ARTIFACT HOSTING & INGESTION

You will be part of Artifact Hosting & Ingestion, a global team of Java & Python developers managing the firm's language ecosystem specific artifact repositories, container repositories, and external software ingestion into the firm. These services need to be highly available and reliable, and they collectively serve millions of API requests and terabytes of artifact downloads per day both on-premises and in AWS.

Join us as a senior engineer to manage the services end-to-end including developing code, safely deploying code and infrastructure changes to production, troubleshooting in Linux environment, supporting internal clients.

WHAT YOU WILL LEARN WHEN YOU JOIN US
- Cloud native architectures in AWS
- Experience with large scale build systems and deployment paradigms
- Expertise in commercial / open-source build systems (Maven / Gradle / Bazel) and strong knowledge of software change management systems
- Experience of DevOps, SRE, infrastructure (storage / networks / etc.)
- Design and implement mid to large scale distributed systems
- Partner with and provide technical guidance on best practices to the GS engineering community, the business teams, and operations teams

**Requirements**:
SKILLS AND EXPERIENCE WE ARE LOOKING FOR
- 7+ years of professional software development experience in one of Java, Python, Go, or similar
- Experience with public cloud environments such as AWS / Serverless / RDS / S3 / EC2
- Experience managing performance, availability, and scale of mid
- to large-sized distributed systems
- Experience with all stages in the lifecycle of developing and running large distributed systems
- Experience with relational databases such as PostgreSQL
- Strong problem solving / analytical skills
- Team player, eager to work in a global organization
- Strong oral and written communication skills

VC Panel Competencies:

- Software engineering practices including testing and debugging (e.g., how would you debug a race condition in a hypothetical system, describe your ideal SDLC approach)
- Focus on distributed system/API service/reverse-proxies testing, debugging, troubleshooting rather than code. The role is closer to a Production Engineer than Software Engineer."