Job Overview:
Pay Range: $42hr - $47hr
Requirement/Must Have:
- 8+ years of end-to-end software development experience covering design, build, test, deploy, and operate.
- Proven track record of delivering production-grade systems at scale ideally across multiple domains or industries.
- Experience working in Agile/Scrum environments with cross-functional teams.
- Comfortable owning technical decisions independently and presenting solutions to engineering leadership.
Responsibilities:
- Design, build, and own end-to-end software solutions across the full development lifecycle, from architecture to production.
- Develop scalable backend systems and data pipelines using Scala.
- Serve as an internal enabler of AI-led development, onboarding the team onto agentic tools like Claude, Cursor, Windsurf.
- Identify and drive productivity acceleration opportunities across the engineering team using AI coding workflows.
- Mentor engineers and set best practices for AI-augmented software delivery.
- Collaborate with product and application teams to ship high-quality features iteratively.
Nice to Have:
- Experience with LLM application development, RAG pipelines, prompt engineering, or LangChain, LlamaIndex.
- Background in data engineering or platform engineering at scale.
- Prior experience as a technical lead or engineering mentor.
- Familiarity with functional programming principles, Cats, Cats Effect, ZIO.
Skills:
- 5+ years of hands-on Scala development, strong grasp of functional programming, type systems, and the JVM ecosystem.
- Solid understanding of distributed systems, system design, and software architecture patterns (microservices, event-driven, CQRS).
- Experience with test-driven development (TDD), code review practices, and CI/CD pipelines.
- Familiarity with data modeling, ETL/ELT pipelines, and working with large-scale datasets.
- Hands-on experience using Claude, Anthropic for AI-assisted development, code generation, and problem-solving.
- Ability to evaluate, adopt, and champion emerging AI coding tools as the landscape evolves.
- Experience measuring and articulating productivity gains from AI tooling adoption across a team.
- Demonstrated ability to mentor and upskill engineers at junior and mid levels.
- Passionate about building a culture of continuous learning and AI-augmented development.
- Strong communication skills, able to translate technical concepts to non-technical stakeholders.
Education and Experience:
- Languages and frameworks: Scala, Akka, Cats, Cats Effect, ZIO, Play Framework, SBT, SQL (advanced query writing, query optimization, schema design).
- AI/LLM tooling: Claude, Anthropic API, prompt engineering, API integration, agentic workflows, Cursor, AI-native IDE, multifile editing, agent mode, Windsurf, Cascade agentic workflows, AI-driven code navigation, LLM application development, LangChain, LlamaIndex, RAG pipelines, vector databases (Pinecone, Weaviate, pgvector).
- Cloud infrastructure: Cloud platforms (AWS, S3, EC2, ECS, Lambda, Kinesis, RDS, GCP, or Azure), Containerization (Docker, Kubernetes, Helm), CI/CD (GitHub Actions, Jenkins, GitLab CI, ArgoCD), Infrastructure as Code (Terraform, Pulumi).
- Observability and quality: Monitoring and logging (Datadog, Grafana, Prometheus, ELK Stack), Testing (unit, integration, contract testing, ScalaTest, Test containers), Code quality (SonarQube, linting, static analysis).
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.