Senior/Lead Software Engineer, Salesforce

• Proven Production Experience: Experience supporting mission-critical production systems and helping high-growth products navigate the technical debt and architectural changes required to scale reliably
• Technical Breadth: Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure
• Coding Mastery: Ability to write and review production-level code in Golang, TypeScript, or Python—you view automation as a software engineering problem
• Systems Expert: Deep understanding of distributed systems, including how to debug complex interactions between microservices, databases, and AI agents
• Low-Ego Collaboration: Experience working within a senior team of Principal engineers, capable of both leading specific initiatives and supporting the broader group’s technical vision
• Mentorship Mindset: Enthusiasm for learning and growing as an engineer, and for helping your peers do the same
• AI Fluency: A demonstrated ability to use modern AI development tools to move faster and build more reliable systems
• Drive: Ability to work independently and collaboratively in a fast-paced startup environment
• Excellent Communicator: Strong written and verbal communication skills, with the ability to communicate effectively with people from varied technical backgrounds
• 5+ years of experience in SRE, Production Engineering, or Backend Engineering with a heavy focus on operations and infrastructure
• Mastery of Golang, GraphQL, and PSQL, with demonstrated experience delivering high-performance optimizations. Experience with RDS, Redis/Elasticache, and EKS
• Deep expertise in multiple areas of backend engineering such as data modeling, db performance tuning, state management, API design, transactionality, concurrency, memory management, fault tolerance, and scaling, with the ability to pick up new technologies quickly
• Repeated ownership of foundational system work in complex distributed systems, from diagnosing architectural problems to designing solutions to driving adoption across a team
• Excellent writing and speaking skills and ability to lead real-time technical-design discussions
• Demonstrated ownership and accountability, with a consistent track record of high standards, continuous improvement, and low-ego collaboration
• Exposure to Temporal, Istio, or Typesense

Desirable

• As a Site Reliability Engineer for Missionforce Operations, you will be a senior technical contributor who helps shape the infrastructure, process automation and engineering practices behind the product
• You will partner closely with product engineers, sector experts, and forward-deployed engineers to deliver the most reliable systems for mission-critical public-sector workflows
• Missionforce Operations is Agentforce Operations’ public-sector counterpart: rebuilt from the ground up to bring core capabilities to some of the world’s most sensitive operating environments
• In this role, you will design and ship infrastructure, automation, and cost-efficient platform capabilities that enable customers to run Missionforce Operations reliably and securely in customer-owned, isolated public-cloud environments, where requirements for trust, security, and data classification are uncompromising
• As a Site Reliability Engineer for the Agentforce Operations Super Agent team, your mandate will be to radically optimize the scalability, resilience, and performance of our product and platform across the entire stack to help usher in this next phase of growth
• The ideal candidate would be able to develop a deep technical understanding of our architecture and then deliver the end-to-end implementation of optimizations that would enable us to achieve greater scalability while simultaneously improving our reliability
• Agentforce Operations manages complex, infinitely configurable states with equally complex state transitions and interfaces to teams across the organization
• That means you'd be tackling a wide array of challenges that would include optimization of our existing data model, streamlining of our asynchronous operations patterns, profiling and rightsizing our infrastructure, and developing both the tools and observability to run experiments and empirically validate results
• Agentforce Operations & Missionforce Team:
• Scaling & Reliability: Own the reliability roadmap for major product areas, evolving startup-speed architectures into highly available, globally scalable systems for mission-critical customer-operated cloud environments
• Collaborative Leadership: Partner with engineers to refine our infrastructure strategy, contributing senior-level perspectives on system design, capacity planning, bottleneck identification, and security
• Infrastructure as Code: Define, maintain and evolve our tools for deployments, focusing on making deployments as “push-button” and robust as possible
• AI Operations (AIOps): Support the scaling and deployment of our AI/ML infrastructure, ensuring the compute, deployment and platform capabilities required to run AI features reliably and cost-effectively
• Production Excellence: Design and build the internal systems and processes for testing and releasing the product, along with the tooling and automation that enable customers and partners to deploy, upgrade, diagnose, and run Missionforce Operations successfully with minimal direct engineering involvement
• Security Engineering: Design, review, and strengthen identity and access controls, networking, workload isolation, secret management, deployment security, and policy enforcement to ensure the product is secure by default
• AI-First Workflow: Lean into the future of engineering by using AI tools to automate routine operational tasks and accelerate infrastructure delivery
• Super Agent:
• Diagnose and prioritize architectural problems across our distributed backend systems, contributing technical perspective to help the team invest in the right foundational work at the right time
• Design and implement solutions to hard system problems including application performance optimization, infrastructure management, and data model improvements
• Raise and maintain our engineering quality bar through pragmatic standards, guardrails, and team practices that prevent regressions and keep our product healthy and performant
• Collaborate with peers across customer, product, and engineering to deeply understand customer needs, make pragmatic tradeoffs that maximize impact, and align on engineering reality
• Mentor engineers as a senior peer and force multiplier, sharing expertise across backend architecture and system design while helping shape stronger engineering judgment, more effective collaboration, and a higher-performing team