Optimal Ways

Backend Engineer

• Platform Architecture & Evolution: Design, implement, and scale core infrastructure to ensure reliability, performance, and security.
• Developer Experience (DevEx): Build and improve tooling, CI/CD pipelines, and workflows, optimizing developer productivity and minimizing friction.
• Security & Compliance: Champion security-by-design principles, implementing controls that safeguard systems and data without slowing innovation.
• Mentorship & Influence: Serve as a technical leader across teams, coaching engineers, and driving alignment on platform strategy.
• Collaboration: Partner with product and engineering leaders, balancing speed, cost, and resilience in every decision.

Principal Software Engineer, Backend

AI Engineer

• Lead the 0→1 buildout and 1→n scaling of AI capabilities at Optimal Dynamics; set direction and establish engineering standards.
• Own RAG initiatives end-to-end from problem framing and data readiness through prototyping, iteration, and production launch.
• Establish foundational components and practices for document processing, indexing, retrieval, orchestration, and evaluation.
• Select tools and approaches that balance quality, cost, and speed.
• Build reliable services and APIs that are observable, secure, and designed for scale in a cloud environment.
• Define success metrics (quality, latency, cost, safety) and drive continuous improvement via experimentation and data-driven decisions.
• Create durable team assets (playbooks, test harnesses, checklists, and documentation) to make RAG development repeatable across products.
• Collaborate cross-functionally with Product, Data/ML, Engineering, and GTM to translate ambiguous needs into shippable capabilities with clear business impact.
• Mentor teammates and contribute to a strong engineering culture around AI systems and responsible deployment.
• Make key architecture and tooling choices and evolve them as the team learns.

Senior AI Engineer

DevOps Engineer

• Reliability: Own the company-wide incident lifecycle; standards for detection, escalation, incident command, customer comms, and high-quality postmortems with action tracking.
• Define and drive SLIs/SLOs for core services; build guardrails and dashboards that make reliability visible and actionable.
• Lead production readiness reviews, capacity/performance planning, load testing, disaster recovery exercises, and resilience engineering (failure testing/chaos where appropriate).
• Level-up on-call: right-sizing rotations, paging hygiene, runbooks, auto-remediation, and continuous improvement of MTTA/MTTR.
• Security: Embed security into the delivery pipeline: dependency and image scanning, least-privilege/IAM baselines, secrets management, and service-to-service auth.
• SOC 2-aligned controls as code; audit-friendly evidence generation in everyday engineering.
• Drive secure-by-default patterns in the platform (network posture, data protection, runtime policies).
• Platform & DevEx: Build and evolve paved roads for deploys, config, and runtime operations in our monorepo (Bazel) and CI/CD (AWS CodePipeline/CodeBuild).
• Partner with product teams to make the secure default the easiest path—templates, tooling, libraries, and automation.
• Improve observability end-to-end (traces, logs, metrics, alerts).

Principal Software Engineer, Backend

Senior AI Engineer

Staff Software Engineer, Site Reliability, SRE