Senior Machine Learning Engineer
We are looking for Senior Machine Learning Engineer to join Agent Platform Team. Candidate will work at the
intersection of ML engineering, cloud infrastructure, and enterprise security, building tools
that empower both enterprise and business process developers.
Essential functions
- Develop and maintain Python-based agent templates and middleware for Google’s Agent Engine.
- Integrate enterprise security controls (identity, access, audit, compliance) into agent deployment workflows.
- Build and maintain plugins/middleware for policy enforcement, audit logging, and telemetry (OpenTelemetry, LangSmith).
- Collaborate with platform, security, and SRE teams to ensure compliance with enterprise standards.
- Automate CI/CD pipelines using GitHub Actions and Terraform for infrastructure as code.
- Implement monitoring, alerting, and cost tracking for deployed agents (Grafana, PagerDuty).
- Contribute to technical documentation and developer onboarding materials.
Qualifications
- Strong Python development skills (3.11+), including experience with middleware and SDKs.
- Experience with cloud-based ML/AI platforms (Google Cloud, Vertex AI, Agent Engine).
- Familiarity with enterprise security concepts: workload identity federation, short-lived tokens, OPA (Open Policy Agent), VPC, and private endpoints.
- Experience with infrastructure as code (Terraform 1.5+), CI/CD (GitHub Actions), and automated compliance gates.
- Knowledge of observability tools: OpenTelemetry, Grafana, LangSmith, and alerting integrations (PagerDuty).
- Understanding of policy-as-code and real-time policy enforcement.
- Experience with serverless and containerized environments (GKE, Kubernetes, Docker) is a plus.
- Ability to work cross-functionally with security, SRE, and business developer teams.
Would be a plus
Experience with Google Cloud Armor, Private Service Connect, and VPC Service Controls.
Familiarity with SBOM generation, provenance attestations, and automated vulnerability
scanning.
Prior work on developer tooling or platform engineering for AI/ML.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.