Senior Developer Productivity Engineer -SMTS

Description Role Overview As a Senior Member of Technical Staff (SMTS) – Developer Productivity & CI/CD, you will be a key technical contributor on Salesforce's global engineering platform team. You will own equally the twin pillars of this role: Developer Productivity Engineering – reducing friction, improving tooling, and accelerating developer velocity – and CI/CD Platform Engineering – building, scaling, and maintaining the continuous integration and delivery infrastructure that powers Salesforce's global engineering organization. This role blends deep technical expertise with cross-team collaboration to deliver data-driven insights, scalable build infrastructure, and a world‑class developer experience.

Job Duties & Responsibilities Developer Productivity Engineering: Identify, measure, and eliminate systemic friction in the developer lifecycle – including slow builds, flaky tests, complex tooling, and inefficient workflows – using data‑driven methodologies (DORA, SPACE) to measurably improve developer velocity. CI/CD Platform Engineering: Design, implement, and maintain robust Continuous Integration and Delivery pipelines using Harness CI and Jenkins, ensuring high availability, low latency, and consistent throughput across the global CI/CD ecosystem. Developer Tooling & Portals: Develop high‑performance internal developer tooling, dashboards, and CLI utilities using modern frontend technologies (e.g., Svelte) alongside backend services – making it easier and faster for engineers to build, test, and ship.

Build Infrastructure: Build and optimize software‑defined infrastructure for centralized build repositories and configuration management across on‑prem and cloud environments, following Salesforce's infrastructure standards. Kubernetes‑Based Build Environments: Implement and optimize containerized build/test workloads on Kubernetes (EKS), including resource tuning, autoscaling configurations (e.g., Karpenter/KEDA), and ephemerally agent lifecycle management. Metrics & Observability: Instrument and maintain engineering productivity metrics (DORA, SPACE) by building automated data pipelines via Airbyte and observability dashboards using the ELK Stack, Datadog, Prometheus, and Grafana – surfacing actionable insights to engineering teams.

Security & Compliance: Integrate automated static analysis and software composition analysis (Veracode SAST/SCA) into CI/CD pipelines, enforcing quality and security gates to shift left on application security. Build System Optimization: Serve as a subject matter expert on multi‑language build systems (Maven, Gradle, Ant), optimizing dependency trees, build caching, and distributed build execution to reduce cycle times for large Java and Python codebases. Infrastructure‑as‑Code: Author and maintain modular, idempotent IaC configurations using Ansible and Chef to eliminate environment drift and enforce compliance baselines across build agents.

Version Control & Source Integrity: Contribute to and enforce Git/Perforce branching strategies (e.g., trunk‑based development), pre‑commit/pre‑merge validations, and branch protection policies supporting hundreds of concurrent developers. Incident Response & Troubleshooting: Provide expert‑level root‑cause analysis for complex CI/CD infrastructure failures, leveraging deep knowledge of Linux internals, distributed systems, and APM tooling. Qualifications & Requirements Education Degree: Bachelor of Technology (B.Tech) or equivalent Field of Study: Computer Science, Computer Engineering, or a related technical discipline Experience Minimum: 5+ years of progressive experience in Developer Productivity, DevEx, DevOps, Build/CI Engineering, or Infrastructure Engineering Demonstrated ability to deliver impactful, production‑quality systems in large‑scale enterprise environments Experience working on or closely with developer experience or platform engineering teams is strongly preferred Tools & Technologies Containerization & Orchestration: Docker, Kubernetes (EKS), Helm Cloud & Configuration: AWS, Chef, Ansible CI Platforms: Harness CI, Jenkins Data Pipelines & Frontend: Airbyte, Svelte Security & Testing: Veracode (SAST/SCA) Observability & Analytics: ELK Stack, Faros.ai, LinearB, Datadog, Prometheus, Grafana Build Systems & Artifacts: Maven, Gradle, Ant, JFrog Artifactory, Sonatype Nexus Languages & Scripting: Groovy (Pipeline‑as‑Code), Python, Java, Bash Version Control: Git, GitHub, Perforce For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr