Salesforce is seeking a Lead Software Engineer (LMTS) to join the Agentforce Process Intelligence team, building process mining and optimization capabilities within the Agentforce platform. You will act as a technical leader across one or more teams, owning the end-to-end architecture of backend services and full-stack applications that enable enterprise customers to discover, simulate, and optimize their business processes at scale.

This role sits at the intersection of large-scale distributed systems, data-intensive analytics, and cloud platform engineering. You will be a leading technical representative across the application stack — negotiating interfaces with peer teams, driving architectural alignment across the product, and setting the bar for non-functional quality (availability, multi-tenancy, security, performance) across Java and python application services.

Your Impact

- Drive the architecture, design, implementation, and delivery of secure, highly scalable backend services deployed on Kubernetes in a cellular, multi-AZ cloud architecture, and act as the technical leader for one or more teams.
- Set the long-term technical vision (≈2RR scope) for the Backend / Full-Stack pillar, including the evolution of Java-based application services (Spring Boot, Hibernate 6+, JPA) and companion microservices toward a pooled multi-tenant model with end-to-end tenant isolation.
- Own the architecture for Python-based data processing services and ETL pipelines that feed large-scale data ingestion and transformation, ensuring contracts with the data platform layer are clean and forward-compatible.
- Architect database consolidation and migration efforts using PostgreSQL, Liquibase, and connection pooling strategies, and validate the technical plans your teams produce against scalability, availability, and tenant-isolation requirements.
- Drive integration with big data query and processing layers (distributed query engines, columnar storage formats) so analytical workloads route correctly and meet SLOs.
- Architect authentication and authorization integrations with identity providers (session-based auth, mTLS for service-to-service communication) and partner with Security on threat modeling, AppSec, and AI safety guardrails for new features.
- Define SLIs and SLOs for the team's features and services in partnership with Product,



design rollout strategy and telemetry that spans pre-release / canary / stagger periods, and lead service ownership: on-call rotations, ops and readiness reviews, runbooks, and automation.
- Set test strategy across the pillar — unit, integration, functional, regression, and performance — and approve test plans for cross-team initiatives.
- Write architectural documents, design specifications, and test plans for projects that span multiple teams; lead and participate in design reviews; and provide constructive feedback on peer teams' designs.
- Provide technical coaching and mentorship to LMTS and SMTS engineers on the team and on peer teams, primarily through reviews; recognize which large designs to delegate and which to implement yourself.
- Manage the technical backlog so that team goals and long-term technical debt are both addressed, and propose standards and best practices where they don't yet exist across the organization.
- Represent the team to VP-level engineering leadership, Product, and external stakeholders — clearly and concisely explaining initiatives, high-level architectures, and trade-offs; act as a technical liaison for Customer Trust when needed.
- Champion Customer Trust within the team: reinforce non-functional requirements, occasionally engage directly with customers to validate that features solve real problems, and lead critical problem management to limit customer impact.

Required Qualifications

- 10+ years of professional software development experience, with a proven track record of shipping enterprise SaaS at scale and operating in a technical leadership capacity.
- Solid proficiency in Java and/or Python, with production-level fluency across multiple languages in real systems.
- Deep experience with Java backend frameworks: Spring Boot, Hibernate/JPA, Tomcat, and relational database integration (PostgreSQL, MySQL).
- Architectural expertise in relational databases, data modeling, schema migration tools (Liquibase, Alembic), and query optimization.
- Hands-on experience designing, operating,



and evolving highly available distributed systems on AWS or comparable cloud platforms, with 99.99%+ availability targets.
- Expertise in containerization and orchestration (Kubernetes, Docker) in production environments.
- Expertise in REST API design, service mesh architectures, and mTLS / zero-trust security models.
- Experience leveraging AI capabilities for SDLC automation, such as context-aware code generation that aligns with architectural patterns, code review workflows, automated testing, vulnerability detection and remediation, and/or CI/CD optimization.
- Demonstrated ability to drive proactive threat modeling and partner with security/compliance on AppSec, vulnerability management, and AI safety considerations for new features.
- Hands-on experience with automated testing including unit, integration, and functional testing (JUnit, pytest, Selenium, Playwright), and a track record of defining test strategy for complex, cross-team systems.
- Proven ability to lead technical initiatives across multiple teams, mentor LMTS/SMTS engineers, and drive architectural alignment across organizational boundaries.
- Exceptional communication skills — including the ability to present technical strategy and trade-offs to VP-level engineering leadership, Product, and external customers.
- A related technical degree required.

Preferred Qualifications

- Familiarity with multi-tenant SaaS ecosystems and cloud platform engineering, including tenant-isolation patterns across database, cache, and storage layers.
- Proficiency in Python: solid experience with Python backend/data frameworks (SQLAlchemy, Alembic, FastAPI or Flask) and data processing libraries (PySpark, Pandas).
- Experience with big data technologies: Apache Spark, Trino/Presto, Parquet, Iceberg, or similar columnar/lakehouse formats.
- Experience with Redis (caching, pub/sub, session management) and S3-based storage patterns.
- Experience with Agile development methodologies, test-driven development (TDD), and zero-downtime deployment patterns (blue/green, rolling releases).
- Prior experience as a Lead / Staff / Principal Engineer or similar leadership role, driving significant technical initiatives across multiple teams.
- Familiarity with the business process management, process mining, or workflow automation domains.

📌 Lead Software Engineer, LMTS (Melbourne)
🏢 Informatica
📍 Melbourne