Software Engineering Architect

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Job Category
Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We are hiring a Software Engineering Architect to lead the design and development of next-generation data platforms that power our products. This is a senior, hands-on architecture and engineering role for someone with deep experience building complex software systems, distributed platforms, real-time services, and scalable data infrastructure.

• Lead the architecture of new data platforms that support current and future product capabilities.
• Design scalable, reliable, and maintainable systems across data ingestion, processing, storage, APIs, and real-time delivery.
• Partner with product, engineering, data, infrastructure, and leadership teams to align technical architecture with business goals.
• Make and communicate architectural tradeoffs around latency, consistency, scalability, availability, extensibility, and cost.
• Establish engineering patterns, platform standards, and technical direction across teams.
• Lead technical design reviews and help teams make sound long-term engineering decisions.

• Contribute directly to core platform components, services, APIs, data pipelines, and infrastructure.
• Write, review, and guide production-quality code.
• Prototype new platform capabilities and help turn them into production systems.
• Debug complex issues across application, data, infrastructure, operating system, and network layers.
• Improve system performance, reliability, observability, and operational readiness.
• Help teams balance rapid product delivery with strong engineering discipline.

• Design and build new platforms for product data, including real-time and event-driven systems.
• Develop architectures for data ingestion, transformation, indexing, storage, access, and lifecycle management.
• Create systems that support high-throughput, low-latency, and highly available product experiences.
• Work with engineering teams to define service boundaries, data models, APIs, schemas, and integration patterns.
• Ensure platforms are designed for extensibility as product requirements evolve.

• Architect distributed systems that operate reliably under scale, failure, and changing workloads.
• Design systems that handle real-time events, asynchronous processing, backpressure, retries, ordering, and fault tolerance.
• Guide teams on concurrency, consistency, caching, replication, message-driven architecture, and service coordination.
• Build systems with strong observability, including metrics, logs, tracing, alerting, and diagnostic tooling.

• Mentor senior engineers and technical leads on architecture, design, and implementation.
• Help raise the engineering bar through coaching, documentation, design reviews, and code reviews.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Work effectively with globally distributed teams.
• Foster a culture of practical engineering, technical ownership, and continuous improvement.

• 15+ years of professional software engineering experience, including significant architecture responsibility.
• Proven experience designing and building distributed systems in production.
• Strong background in data platforms, real-time systems, event-driven architectures, or large-scale backend infrastructure.
• Expert-level programming experience in Java or similar production-grade backend languages.
• Deep experience with Linux, systems engineering, performance tuning, and production operations.
• Strong understanding of database concepts, storage systems, data modeling, indexing, query patterns, and data lifecycle design.
• Experience building low-latency, high-throughput, highly available software systems.
• Ability to lead technical direction across teams while remaining hands-on.
• Strong judgment around architectural tradeoffs, system boundaries, reliability, maintainability, and delivery speed.
• Excellent written and verbal communication skills.

• Experience building new data platforms from the ground up.
• Experience modernizing legacy systems into scalable product platforms.
• Background with event-driven microservices, streaming systems, message brokers, or distributed processing frameworks.
• Experience with machine learning platforms, Generative AI systems, scientific computing, or advanced data-intensive products.
• Familiarity with cloud-native infrastructure, Kubernetes, observability platforms, distributed tracing, and platform engineering.
• Experience contributing to or leading open source software projects.
• Experience working across global engineering organizations.
• Track record of mentoring senior engineers and influencing architecture across multiple teams.

• Distributed systems architecture
• Real-time and event-driven platforms
• Product data platforms
• Data ingestion and processing pipelines
• Backend service architecture
• Database internals and storage concepts
• APIs, schemas, and data modeling
• Low-latency and high-throughput systems
• Java and JVM performance
• Linux systems engineering
• Observability, monitoring, and production diagnostics
• Fault tolerance, resilience, and high availability
• Microservices and service-oriented architecture
• Cloud-native infrastructure
• Machine learning or Generative AI infrastructure
• Legacy system modernization