Lead Software Engineer

RSM US LLP

. Lead the design, development, and delivery of secure, scalable, cloud-native software platforms .

Posted 9/29/2026full-timeUnited StatesSenior💰 $111,200 - $190,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and delivering secure, scalable, cloud-native software platforms, with a strong focus on microservices, event-driven systems, and AI-enabled solutions. Proven ability to lead technical teams, manage complex projects, and translate business requirements into effective technical designs.

Highest-signal resume keywords

Cloud-Native Application DevelopmentMicroservices ArchitectureTechnical LeadershipJava, C#, Python, JavaScript/TypeScript, RustCI/CD and Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAPI Design/IntegrationSQL and NoSQL DatabasesDistributed Workflow DesignDeterministic Execution PipelinesRAG and GraphRAG PipelinesVersioning and AuditabilityConfiguration-Driven PlatformsDependency GraphsEvent-Driven Systems

Soft Skills

Coaching and MentoringTechnical Decision-MakingCross-Functional Collaboration

Tools & Technologies

AWSGCPKafkaPub/SubKinesisVLLMOllamaLM StudioLangChainNeo4j

Industry Keywords

Complex EnvironmentsRegulated EnvironmentsAuditabilityTraceabilityBusiness Rules Governance

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptKafkaMicroservicesNeo4jNoSQLPythonRustSQLTypeScript

About the role

Key responsibilities & impact

Lead the design, development, and delivery of secure, scalable, cloud-native software platforms
Provide technical leadership across architecture, engineering design, code quality, testing, deployment, and operational readiness
Design and guide distributed systems, APIs, microservices, event-driven workflows, data pipelines, and integrations
Drive architecture decisions separating shared platform services, application logic, calculation engines, and user experience layers
Translate ambiguous business and domain requirements into technical designs and delivery plans
Build systems preserving provenance, lineage, auditability, version history, and traceability
Develop configuration-driven platforms with governed, versioned, approved, and executable business rules
Guide deterministic execution patterns including dependency graphs, workflow orchestration, idempotency, replayable processing, caching, failure isolation, and recomputation
Support AI-enabled solutions including RAG, GraphRAG, vector retrieval, knowledge graphs, model serving, evaluation, and guardrails
Review technical deliverables, architecture artifacts, pull requests, data models, integration designs, and operational controls
Coach and mentor engineers
Improve CI/CD, automation, observability, testing, documentation, and incident response
Serve as escalation point for complex technical decisions, production issues, architectural tradeoffs, and cross-functional dependencies
Contribute to technology strategy, platform modernization, departmental planning, and cross-functional initiatives

Requirements

What you’ll need

5–7 years of experience in software engineering, with at least 2 years in a leadership or architectural capacity
Experience managing teams and delivering solutions in complex or regulated environments
Deep expertise in Java, C#, Python, JavaScript/TypeScript, and Rust
Proficiency with SQL and NoSQL databases and API design/integration
Experience with cloud-native applications on AWS or GCP
Familiarity with CI/CD, containerization, and automated testing
Strong understanding of microservices and event-driven systems
Experience with Kafka, Pub/Sub, or Kinesis
Experience deploying and serving models with vLLM, Ollama, or LM Studio
Applied experience with RAG and GraphRAG pipelines, embedding models, chunking, retrieval strategies, and vector databases
Familiarity with LangChain, LlamaIndex, and knowledge-graph stores such as Neo4j
Ability to model complex business domains using entity resolution, reconciliation, hierarchy/graph structures, membership over time, and exception-driven workflows
Strong understanding of distributed workflow design, idempotency, versioning, auditability, and replayable execution
Experience building configuration-driven platforms with governed business rules, rates, thresholds, mappings, and policies
Familiarity with effective dating, version pinning, approval workflows, append-only audit trails, and replayable execution models
Ability to design deterministic execution pipelines with dependency graphs, DAG orchestration, bounded concurrency, failure isolation, caching, and recomputation
Bachelor’s or master’s degree in computer science, software engineering, or a related field
RSM does not intend to hire entry level candidates who will require sponsorship now or in the future

Benefits

Comp & perks

Competitive benefits and compensation package
Flexible schedule
Discretionary bonus based on firm and individual performance
Reasonable accommodation for people with disabilities