We are looking for a Senior Software Engineer who brings strong engineering fundamentals, a cloud-native mindset, and deep fluency with AI-augmented development practices. You will be a key technical contributor on a high-impact team - writing production-grade code, influencing architecture decisions that ripple across every team that adopts our platform, and helping define how modern engineering gets done at Common Consumer.
This is not a role where AI tools are optional or experimental. Our team works end-to-end in a spec-driven, Claude Code-native development model: every feature begins with a clear, well-structured specification; implementation is driven through Claude Code with strong human review at every step; and engineers are fully accountable for the code that ships. We expect Senior Software Engineers to be fluent in this model from day one - authoring specs, directing agents from them, validating and refining their output, and continually raising the team's bar on responsible AI use.
Our Team
Common Consumer sits within Cox Automotive's Consumer organization. We operate as a collaborative platform team that values engineering craft, continuous improvement, and building systems that other Cox Auto engineering teams rely on every day. Near-term, you'll contribute to the Consent and Communications Decisioning platform - an event-sourced system that captures consumer consent at scale, maintains the projections that answer "may we contact this consumer, on this channel, for this purpose, on behalf of this dealer," and enforces TCPA, CAN-SPAM, and DNC compliance across the Cox Auto portfolio. If you thrive in an environment where your contributions are visible across the business, your ideas are heard, and AI tooling is a first-class part of your workflow - you'll fit right in.
What You'll Do
- Serve as a core contributing engineer on a lean team delivering Common Consumer platform capabilities - orchestration services, rules engines, data resources, eventing contracts, and consumer UIs - operating in our spec-driven, Claude Code-native development model end-to-end.
- Practice spec-driven development (SDD) as the team's default operating model: drive epics, features, and stories from clear, well-structured specifications co-authored with AI before implementation begins, with intent, scope, and acceptance criteria locked down upfront. Use Claude Code as the primary implementation surface - directing agents from specs, reviewing and refining their output, and contributing to the team's shared agent context (CLAUDE.md, agent skills, MCP integrations) so the team's AI workflow keeps compounding.
- Contribute across the consent and communications platform's full evolution - from the intake service through the operational event store, the address-keyed and consumer-keyed projection pipelines, the decisioning API, and the supporting subsystems (DNC sync, EBR ingestion, enrichment). Reason about event-sourced design choices - immutability, projection rebuilds, choreography vs. orchestration, multi-region consistency - that shape the platform for years, not just the current iteration.
- Write high-quality, maintainable, and well-tested code across our stack - C#/.NET for back-end services, TypeScript/React for consumer and back-office UIs, and Node.js for BFF layers - owning end-to-end quality and operational support for business-critical components that adopter teams depend on, including monitoring, incident response (IRW/PIR), and continuous reliability improvement. Take full accountability for every change that ships, AI-generated or otherwise.
- Contribute meaningfully to architectural and design decisions alongside principals and architects, ensuring implementations align with Common Consumer standards - multi-region deployment, event-driven patterns, naming and component conventions (ui / service / engine / resource), and long-term platform strategy.
- Design and maintain cloud infrastructure using Terraform across our multi-account AWS footprint (team / stage / prod) and multi-region deployments (us-east-1, us-west-2), with ECS/Fargate for compute and a strong emphasis on scalability, reliability, failover, and cost-efficiency.
- Work with MongoDB (including MongoDB Atlas as our operational event store), DynamoDB, S3 as an immutable event archive, and in-memory caching layers (Redis / Valkey) to build performant, event-sourced services; troubleshoot complex distributed-systems issues using observability tooling and Claude Code-assisted root-cause exploration.
- Contribute to platform modernization efforts - framework upgrades, legacy refactors, and adoption-guide improvements - using Claude Code to analyze existing code, propose updated patterns, and execute refactors at scale with human review.
- Help define and evolve team coding standards, engineering best practices, and the team's playbook for responsible, effective AI use - prompt patterns, spec templates, review gates, and quality bars.
- Provide technical mentorship and informal leadership to less experienced engineers, including direct guidance on writing effective specs, directing Claude Code agents, and validating their output against engineering, security, and compliance requirements.
Who You Are
- Bachelor's degree in a related discipline and 4 years' experience in a related field; or a master's degree and 2 years' experience; or a Ph.D. and 1 year of experience; or 12 years' experience in a related field with no degree.
- Currently authorized to work in the United States for any employer without current or future sponsorship.
- Active, daily use of Claude Code (or equivalent agentic coding tools) and spec-driven development practices - comfortable authoring structured specifications, directing AI agents from them, reviewing and refining generated code, and taking full ownership of the result.
- Hands-on production experience with C# / .NET (ASP.NET Core) - including middleware pipelines, dependency injection, hosted services, and graceful-shutdown patterns.
- Hands-on experience designing and operating AWS event-driven systems on containerized compute (ECS/Fargate) - including some combination of EventBridge, SQS, DynamoDB, S3, and Firehose - with infrastructure-as-code via Terraform.
- Hands-on experience with MongoDB (or comparable document databases) in production, including schema/index design for document-shaped data and operating considerations.
- Hands-on experience designing and operating REST APIs with OAuth/M2M authentication, idempotency, and well-defined error contracts.
- Experience with Agile and/or Value Stream-based delivery models.
- Availability for rotational on-call duties outside of standard business hours may be required.
- Kansas City based candidates only - in office 3 days a week is required.
Preferred:
- Experience authoring and maintaining shared AI agent context - CLAUDE.md / agent instructions, reusable skills, MCP servers and integrations - so the team's AI workflow improves over time rather than living in individual heads.
- Experience designing and running AI-assisted workflows beyond code completion - multi-step agent flows, subagents, automated review/test loops, or MCP-based access to internal systems (e.g., GitHub, Slack, Rally, observability tools).
- Experience with event-sourced and/or CQRS architectures - immutable fact streams, derived projections / read models, projection rebuilds from source events, and reasoning about read-after-write sequencing across async boundaries.
- Experience designing for durability and idempotency in event-driven systems - claim-before-emit patterns, conditional-write idempotency stores, DLQ-backed retries, and RPO/RTO reasoning.
- Experience with MongoDB Atlas at scale, including Global Clusters / multi-region deployments, Change Streams, and Atlas operational patterns.
- Experience with multi-region AWS architectures - multi-AZ baseline, active/passive failover, active/active routing, and Terraform module patterns that make region addition a config change rather than a redesign.
- Experience with bulk data reprocessing and backfill on AWS - AWS Glue, Athena, S3-based replay - and the operational patterns that make backfills zero-downtime alongside live traffic.
- Experience integrating with enterprise platform services (auth, event buses, dealer/account authorization, integration platforms) owned by other teams - including API contract negotiation, caching, and fail-open/fail-closed decisions.
- Experience building systems that handle PII or other regulated data (e.g. TCPA, CAN-SPAM, GDPR/CCPA, HIPAA, PCI) - encryption, access auditing, immutable archival, retention policies, audit trails, and decision-record provenance.
- Experience with distributed-systems observability - distributed tracing across async boundaries (e.g. EventBridge), correlation-ID propagation, structured logging, and APM tooling such as New Relic.
- Familiarity with choreography vs. orchestration trade-offs (EventBridge DAGs, AWS Step Functions) and rule-engine or decisioning-system design.
- Familiarity with React, Back-end-for-Frontend (BFF) patterns, CloudFront, and modern front-end build pipelines.
- Familiarity with AWS Lambda (used in adjacent Common Consumer workloads, though not our current build direction).
- Track record of mentoring engineers and contributing to team engineering culture.
Technologies You'll Work With
- AI-Augmented Development (core to how we work): Claude Code as the primary implementation surface, spec-driven development (SDD) end-to-end, MCP-integrated workflows (GitHub, Slack, Rally, observability), CLAUDE.md / agent skills, GitHub Copilot
- Languages: C# / .NET 8 (ASP.NET Core), TypeScript, Node.js, Bash, HCL (Terraform)
- Cloud & DevOps: AWS Fargate (ECS), EventBridge, SQS, DynamoDB, S3, Data Firehose, AWS Glue, Athena, Step Functions, ALB + Regional WAF, Route 53, Secrets Manager, CloudWatch, Lambda (adjacent workloads); Terraform, GitHub Actions, Docker
- Databases: MongoDB / MongoDB Atlas (Global Clusters, Change Streams), DynamoDB, Redis / Valkey, S3 as immutable event archive
- Front End: React, Back-end-for-Frontend (BFF), CloudFront-hosted SPAs
- Architecture Patterns: event-sourcing & CQRS, two-tier projection models, choreography + orchestration DAGs, multi-AZ multi-region active/active, idempotency-by-claim, DLQ-backed retries
- Integration & Auth: Bridge 2 OAuth (M2M), DDAM (Dealer Data Access Management), CIP (Cox Integration Platform)
- Observability: New Relic APM, distributed tracing, correlation-ID propagation, structured JSON logging
- Tools & Practices: SAFe Agile, CI/CD
- Special Focus: Consumer consent & communications decisioning platform - regulated PII, TCPA / CAN-SPAM / DNC compliance, immutable audit trails, decision-record provenance
USD 101,500.00 - 169,100.00 per year
Compensation:
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets
Skills Required
- Bachelor's degree in a related discipline and 4 years of related experience; or master's degree and 2 years; or Ph.D. and 1 year; or 12 years of related experience without a degree
- Currently authorized to work in the United States for any employer without current or future sponsorship
- Active, daily use of Claude Code or equivalent agentic coding tools and spec-driven development practices
- Hands-on production experience with C#/.NET and ASP.NET Core, including middleware pipelines, dependency injection, hosted services, and graceful shutdown patterns
- Hands-on experience designing and operating AWS event-driven systems on ECS/Fargate with services such as EventBridge, SQS, DynamoDB, S3, or Firehose, using Terraform
- Hands-on production experience with MongoDB or comparable document databases, including schema and index design
- Hands-on experience designing and operating REST APIs with OAuth/M2M authentication, idempotency, and defined error contracts
- Experience with Agile or Value Stream-based delivery models
- Availability for rotational on-call duties outside standard business hours
- Kansas City-based and available to work in the office three days per week
- Experience authoring and maintaining shared AI agent context, reusable skills, MCP servers, and integrations
- Experience designing and running multi-step AI-assisted workflows, subagents, automated review/test loops, or MCP-based integrations
- Experience with event-sourced and/or CQRS architectures
- Experience designing durability and idempotency in event-driven systems
- Experience with MongoDB Atlas at scale, Global Clusters, multi-region deployments, or Change Streams
- Experience with multi-region AWS architectures and Terraform module patterns
- Experience with AWS Glue, Athena, and S3-based bulk data reprocessing or backfills
- Experience integrating with enterprise platform services and negotiating API contracts
- Experience building systems handling PII or regulated data and implementing encryption, auditing, retention, and provenance controls
- Experience with distributed-systems observability, tracing, correlation IDs, structured logging, or New Relic
- Familiarity with choreography, orchestration, AWS Step Functions, rule engines, or decisioning systems
- Familiarity with React, BFF patterns, CloudFront, and modern front-end build pipelines
- Familiarity with AWS Lambda
- Track record of mentoring engineers and contributing to team engineering culture
Cox Enterprises Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage is positioned as robust with multiple medical plan options (PPOs and an HSA‑eligible HDHP), in‑network preventive care at 100%, and expanded mental health and virtual care access. Specialized offerings such as fertility benefits, gender‑affirming care, and wellness programs (e.g., Calm, FitnessOnDemand, Hinge Health) further bolster breadth.
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Retirement Support — The 401(k) program features an enhanced employer contribution for most newer hires—dollar‑for‑dollar matching up to 6% and an automatic 2% contribution after 90 days, with legacy formulas for earlier hire dates. Financial tools and student‑debt support via Candidly deepen long‑term savings support.
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Parental & Family Support — Paid parental leave of eight weeks, adoption assistance (up to $5,000 per adoption), and resources like backup care and childcare discounts are highlighted. Family‑building and caregiving supports (e.g., fertility coverage, Milk Stork, Care.com access) are emphasized across materials.
Cox Enterprises Insights
What We Do
Cox Enterprises is a family-owned enterprise spanning 125+ years of innovation. Through our diverse network of businesses, our people are shaping the future with bold thinking, cutting-edge technology and an unwavering commitment to doing what’s right. Across a range of industries — including automotive, agriculture, cleantech, journalism and more — we’re building a better future for this generation and the next. Make your mark at Cox!
Why Work With Us
Founded in 1898, Cox Enterprises is a community of kind, grounded individuals who work together to drive positive change across vital industries. At Cox, employees experience meaningful work, great benefits, work-life balance and a supportive team environment, plus ample opportunities for career growth across our family of businesses.
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