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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading backend engineering teams, architecting cloud-native systems, and implementing scalable, secure, and reliable solutions. Proficient in modern backend languages and technologies, with a strong focus on performance, observability, and AI integration.
Highest-signal resume keywords
Technical LeadershipCloud Native Backend SystemsEvent Driven ArchitectureC#/.NET DevelopmentObservability Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Native ArchitectureDistributed Systems DesignBackend DevelopmentEvent Driven SystemsAsynchronous ProcessingAutomated TestingCI/CD PracticesData Pipeline ManagementPerformance OptimizationSecurity Compliance
Soft Skills
MentoringCollaborationTechnical DocumentationKnowledge SharingProblem Solving
Tools & Technologies
AWSECSLambdaSQSDynamoDBS3Logging ToolsTelemetry ToolsAI ToolsSearch Technologies
Industry Keywords
B2B SaaSLegal TechnologyRegulated EnvironmentsContent ServicesEnterprise Systems
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDynamoDBJavaOpen SourcePythonGo.NET
About the role
Key responsibilities & impact- Lead the technical direction of a backend engineering team
- Serve as a hands-on technical leader and define engineering standards
- Lead architectural discussions and make technical decisions across services and distributed systems
- Establish patterns for scalable, secure, reliable, and maintainable systems
- Guide technology stack evolution as products mature and scale
- Drive improvements in performance, reliability, cost efficiency, developer experience, and engineering quality
- Architect and build production-grade, cloud-native backend services and APIs
- Design event-driven, service-oriented systems and data pipelines resilient to load, retries, and partial failure
- Build secure systems for processing, organizing, and surfacing large volumes of content, including search, retrieval, and AI capabilities
- Integrate AI-powered services and emerging technologies
- Design for security, permissions, governance, compliance, and data protection
- Instrument services with logging, metrics, distributed tracing, and telemetry
- Improve throughput, latency, scalability, and cost
- Design for idempotency, ordering, deduplication, rate limiting, and safe reprocessing
- Own complex technical initiatives from design through deployment and ongoing operation
- Evaluate architectural tradeoffs across performance, cost, security, scalability, and maintainability
- Create technical documentation, architecture diagrams, system designs, and technical decisions
- Partner with Product, Design, Platform Services, engineering leadership, and other engineering teams
- Mentor engineers and raise technical capabilities and engineering practices
- Lead knowledge sharing through code reviews, design discussions, documentation, and hands-on guidance
- Research and validate emerging technologies through proofs of concept
- Identify opportunities to improve customer experience and engineering velocity
- Leverage modern development and AI tooling to increase engineering effectiveness
Requirements
What you’ll need- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 8+ years of professional software engineering experience delivering production grade systems at scale
- 3+ years providing technical leadership and influencing engineering direction and practices
- Deep experience designing and operating distributed, cloud native backend systems, ideally on AWS (services such as ECS, Lambda, SQS, DynamoDB, and S3)
- Strong experience with event driven and service oriented architectures, including asynchronous processing, queueing, idempotency, and handling failure and retries
- Proven ability to build systems that are performant, reliable, and cost effective at high volume
- Strong backend development experience in a modern backend language; C#/.NET is the preferred stack, with Python, Java, or Go also valued
- Experience implementing observability in production: logging, metrics, distributed tracing, and telemetry
- Working familiarity with modern AI and its application in production software
- Experience with automated testing, CI/CD practices, and operating production services
- Experience building search, retrieval, or other data intensive systems at scale is a differentiator
- Familiarity with semantic or vector search, embeddings, and retrieval augmented generation is a differentiator
- Experience operating high throughput data or processing pipelines is a differentiator
- Experience building document management, content services, or enterprise systems is a differentiator
- Experience integrating AI or agent facing services into production applications is a differentiator
- Experience building B2B SaaS in legal or other regulated, security sensitive environments is a differentiator
- Contributions to open source, technical writing, or sharing technical expertise are a differentiator
Benefits
Comp & perks- 90% healthcare premiums company covered
- HSA company contribution
- 401K match at 4% with immediate vesting
- Flexible PTO (typically 3 to 4 weeks a year)
- 10 paid holidays
- Monthly contributions for life activities & wellness
- Access to LinkedIn Learning with monthly dedicated time to explore
- Connection, access, and mentorship from exceptional leaders
- Growing company with opportunities for advancement
- Authenticity and accountability from leadership