Senior/Lead Software Engineer, Site Reliability

Salesforce

. Own the reliability roadmap for major product areas and evolve architectures into highly available, globally scalable systems .

Posted 10/3/2026full-timeUnited StatesSenior💰 $148,500 - $344,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining highly available, scalable systems with a strong focus on infrastructure-as-code, deployment security, and backend engineering. Proficient in leveraging AI tools for operational efficiency and mentoring engineering teams in complex distributed environments.

Highest-signal resume keywords

KubernetesTerraform/OpenTofuAWS/GCP/AzureGolangDistributed Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production-Level Code ReviewData ModelingDatabase Performance TuningAPI DesignConcurrencyFault ToleranceScalingMicroservice OrchestrationIdentity ManagementCapacity Planning

Soft Skills

Excellent WritingTechnical-Design Discussion SkillsMentoring

Tools & Technologies

AI Development ToolsCI/CD SystemsJenkinsSpinnakerRedis/ElastiCacheRDSEKSTemporalIstioSalesforce

Certifications & Qualifications

Advanced Degree in Computer ScienceM.S. Preferred

Industry Keywords

Regulated IndustriesPublic SectorData SovereigntySupply ChainLogisticsManufacturingOperational WorkflowsDepartment of Defense Impact LevelsSecurity ComplianceLimited-Connectivity Environments

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformGraphQLJenkinsKubernetesMicroservicesPythonRedisSpinnakerTerraformTypeScriptGo

About the role

Key responsibilities & impact

Own the reliability roadmap for major product areas and evolve architectures into highly available, globally scalable systems
Partner with engineers on infrastructure strategy, system design, capacity planning, bottleneck identification, and security
Define, maintain, and evolve infrastructure-as-code and deployment tools
Support scaling and deployment of AI/ML infrastructure
Design and build systems and processes for product testing and releases
Build tooling and automation for customer and partner deployment, upgrades, diagnosis, and operations
Design, review, and strengthen identity and access controls, networking, workload isolation, secret management, deployment security, and policy enforcement
Use AI tools to automate operational tasks and accelerate infrastructure delivery
Diagnose and prioritize architectural problems across distributed backend systems
Design and implement application performance, infrastructure, and data-model optimizations
Establish engineering standards, guardrails, and team practices to prevent regressions
Collaborate with customer, product, and engineering teams to understand needs and make pragmatic tradeoffs
Mentor engineers and share expertise in backend architecture and system design

Requirements

What you’ll need

Experience supporting mission-critical production systems and scaling high-growth products
Strong proficiency in Kubernetes, Terraform/OpenTofu, and AWS/GCP/Azure
Ability to write and review production-level code in Golang, TypeScript, or Python
Deep understanding of distributed systems and debugging interactions between microservices, databases, and AI agents
Experience working within a senior team of Principal engineers
Demonstrated ability to use modern AI development tools
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
Experience with RDS, Redis/ElastiCache, and EKS
Expertise in backend engineering including data modeling, database performance tuning, state management, API design, transactionality, concurrency, memory management, fault tolerance, and scaling
Repeated ownership of foundational system work in complex distributed systems
Excellent writing, speaking, and technical-design discussion skills
Advanced Degree in Computer Science or equivalent practical experience is an advantage
Experience in regulated industries, particularly public sector or environments with strong security, compliance, and data-sovereignty requirements is an advantage
Familiarity with classified or limited-connectivity environments, including Department of Defense Impact Levels such as IL6, is an advantage
Advanced knowledge of microservice orchestration and durability patterns, including Temporal and service mesh, is an advantage
Deep knowledge of networking, security, and identity management within major cloud providers is an advantage
Experience building AI products for supply chain, logistics, manufacturing, or operational workflows is an advantage
B.S. in Computer Science; M.S. preferred
Exposure to Temporal, Istio, or Typesense
Experience with CI/CD systems, specifically Jenkins and Spinnaker
Exposure to supply chain, logistics, or manufacturing industry
Familiarity with the Salesforce platform
Experience with workflow engines

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Certain roles may be eligible for incentive compensation
Certain roles may be eligible for equity
Reasonable accommodations during the application or recruiting process