Gate Agent Job at Robert Half (Bedford Park)

Distinguished Engineer - Qualification & Delivery - Release Platform

GEICO is seeking a Distinguished Engineer to serve as a technical leader within ...

Location

United States , Chevy Chase; Baltimore; Washington

Salary:

140000.00 - 300000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

15+ years of software engineering, DevOps, or platform engineering experience, with a deep focus on DevSecOps, CI/CD, deployment automation, platform engineering, and release engineering
Expertise in Kubernetes, container orchestration, and GitOps workflows (ArgoCD, Helm)
Deep experience with high-scale CI/CD platforms, including GitHub Actions, Jenkins, Azure DevOps pipelines
Strong understanding of Deployment Control Gates and Policy as Code with Open Policy Agent (OPA) and Rego to enforce deployment policies
Platform Engineering expertise with experience designing self-service platforms, developer portals, and infrastructure automation
Proficiency in Linux system administration, networking fundamentals, and cloud infrastructure (AWS, GCP, Azure)
Strong understanding of observability, monitoring, and tracing for CI/CD pipelines, platform engineering solutions, and release workflows
Proven track record of technical leadership, influencing company-wide decisions, and mentoring senior engineers
Experience working in large-scale, distributed engineering environments with thousands of engineers

Job Responsibility

Define and drive the strategic roadmap for GEICO’s Deployment and Release Platform and Platform Engineering, ensuring scalability, reliability, and developer efficiency
Architect and optimize high-performance CI/CD frameworks and Platform Engineering solutions to support 3000+ engineers and enable self-service infrastructure
Pioneer the adoption of GitOps principles using Flux, ArgoCD, and Kubernetes, enabling automated, declarative deployments
Define Service to service communication patterns, and discoverability using Istio Service Mesh
Design and enforce deployment control gates using Policy as Code methodologies with Open Policy Agent (OPA) and Rego, ensuring secure, compliant, and auditable deployments
Lead the adoption of cloud-native deployment patterns, and containerized workflows
Develop platform engineering frameworks that empower developers with self-service capabilities, reducing communication confusions and accelerating software delivery
Define best practices for monitoring, logging, tracing, and release observability using tools like Prometheus, Grafana
Serve as a mentor, and advocate for best practices in DevSecOps, Continuous Delivery, Platform Engineering, and Cloud-Native development across GEICO and the broader engineering community
Cross-Team Collaboration: Work with Application, CI, Security, SRE, and Observability teams to drive alignment on deployment strategies, platform engineering solutions, and software delivery automation

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Software Engineer, Gen AI Platform

Our generative AI-powered products are making a huge impact in the Healthcare in...

Location

United States , San Francisco

Salary:

221000.00 - 300000.00 USD / Year

Abridge

Expiration Date

Until further notice

Requirements

Experience building agent applications with tool-calling, context engineering, or open connector integrations
Fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, or custom pipelines)
Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool use, or agentic workflows
Strong coding skills in one or more of: Python, Java, Go
Comfortable with service design, APIs, and data models for high-throughput systems
Working knowledge of containers and kubernetes concepts
Familiarity with metrics, tracing, on-call rotations, and incident response practices
Self-motivated with a willingness to take ownership
Strong communication skills and ability to work collaboratively in a team environment

Job Responsibility

Design and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs
Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool-calling interfaces, and scheduling for cost, latency, and quality
Build secure, sandboxed execution for agent actions and code
optimize cold start, isolation, and observability
Ship unified interfaces for multiple model sizes and providers
integrate with open tool ecosystems such as MCP-style connectors for data and actions
Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time
Partner with Research to deliver new agent capabilities end to end—from prototype to production

What we offer

Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families
Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA
Paid Parental Leave: Generous paid parental leave for all full-time employees
Family Forming Benefits: Resources and financial support to help you build your family
401(k) Matching: Contribution matching to help invest in your future
Personal Device Allowance: Tax free funds for personal device usage
Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits
Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more
Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals

Fulltime

Software Engineer - Agent Infra

Perplexity is looking for a Software Engineer to build the core infrastructure t...

Location

United States , San Francisco; Palo Alto; New York City

Salary:

210000.00 - 385000.00 USD / Year

Perplexity

Expiration Date

Until further notice

Requirements

6+ years of industry experience building large scale systems or platforms
Experience building agent applications with tool calling, context engineering, or open connector integrations
Strong coding skills in one or more of: Python, Java, Go
Comfortable with service design, APIs, and data models for high throughput systems
Working knowledge of containers, virtualization, and sandboxing
Familiar with metrics, tracing, on call, and incident practices
Bias to own problems across layers, collaborate in fast moving teams, and ship

Job Responsibility

Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool calling interfaces, and scheduling for cost, latency, and quality
Build secure sandboxed execution for agent actions and code
Optimize cold start, isolation, and observability
Ship unified interfaces for multiple model sizes and providers
Integrate with open tool ecosystems such as MCP style connectors for data and actions
Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time
Partner with Research, Inference, and Search to land new agent capabilities end to end, from prototype to production

What we offer

Equity
Health
Dental
Vision
Retirement
Fitness
Commuter and dependent care accounts

Fulltime

AI Engineer - Agentic Workflows - Clearance

Cognitive Space builds next-generation AI systems that help “supercharge satelli...

Location

United States , Washington, DC area, Houston

Salary:

160000.00 - 205000.00 USD / Year

Cognitive Space

Expiration Date

Until further notice

Requirements

US Citizenship
Active TS/SCI clearance preferred or must be able to obtain and maintain a TS/SCI Clearance
Preferred Security+ Certification
Bachelor’s/Master's/Ph.D. in a relevant field: Computer Science, Engineering, Applied Math, Statistics, etc.
2–5+ years of professional experience as an AI Engineer, ML Engineer, Software Engineer (Applied AI), Applied Scientist, or similar role
Strong programming skills in Python
experience with production services, APIs, and containerization (Docker/Kubernetes) is strongly preferred
Experience deploying and operating workloads on AWS (e.g., IAM, VPC, EC2, EKS/ECS, Lambda, S3, CloudWatch), including security, monitoring, and cost-aware design
Hands-on experience building LLM applications in production
Experience with ML/LLM frameworks and ecosystems (e.g., PyTorch/TensorFlow familiarity

Job Responsibility

Design and build LLM-based agents that can plan and execute multi-step workflows (task decomposition, state management, memory, and controlled autonomy)
Implement and maintain a robust tool interface layer (tool schemas/contracts, structured I/O, validation, retries, idempotency, and safe execution boundaries)
Integrate agents with internal and external systems: APIs, databases, queues, and operational services, ensuring reliable action-taking and traceability
Develop evaluation and regression testing for agent behavior (scenario suites, golden traces, automated quality gates) to reduce drift and ensure predictable performance
Establish observability for agent runs (tracing, failure analysis, latency/cost monitoring, tool-call success rates) and drive continuous improvements
Containerize and deploy agent services and decision-making capabilities for production and edge environments, as applicable
Collaborate with cross-functional teams to identify and prioritize agentic automation opportunities tied to key milestones and requirements
Implement safety and governance controls (permissions, policy checks, audit logs, and appropriate handling of sensitive data) aligned to operational constraints

What we offer

Equity in the form of options
Flexible Time-Off policy and company holidays
Cost-effective health care, dental, and vision with company contributions
401k matching plan with company match
Life insurance
Short-term and long-term disability

Fulltime

Field Chief Security Officer

Glean is seeking a Field CSO to serve as Glean’s executive, customer‑facing secu...

Location

United States , Palo Alto

Salary:

260000.00 - 320000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

10+ years in information security with executive‑level customer engagement
former CISO/CSO, Deputy CISO, Security Architect/Strategist, or advisory CISO experience strongly preferred
Deep command of enterprise security and cloud/SaaS controls: identity/SSO, least‑privilege, encryption at rest/in transit, key management, audit logging/SIEM, data residency/sovereignty, and third‑party risk
Hands‑on familiarity with major frameworks and regulatory needs: SOC 2 Type II, ISO 27001, GDPR/DPAs, HIPAA, and public sector expectations (e.g., TX‑RAMP
familiarity with FedRAMP requirements helpful)
Demonstrated experience guiding customers through DPIAs/PIAs, vendor assessments, and contractual security annexes
ability to compress complex risk into clear executive decisions
Practical understanding of AI/LLM security risks and mitigations: retrieval‑augmented generation (RAG) security, prompt injection defenses, jailbreak resistance, model access policies, and agent guardrails aligned to source permissions
Exceptional communication and storytelling skills with C‑suite and boards
proven impact in late‑stage deals and customer expansions

Job Responsibility

Act as the primary executive security advisor for named strategic accounts, partnering with Sales, SE, and CS to shape security strategy, deployment patterns, and program design for Glean’s Work AI platform
Lead and expedite security due diligence: DPIAs/PIAs, vendor risk assessments, data flow documentation, LLM‑related risk mitigations, and control mapping to frameworks (e.g., SOC 2, ISO 27001, HIPAA, GDPR, FedRAMP‑adjacent asks, TX‑RAMP)
Build compelling risk narratives and decision memos for C‑suite and Boards that connect security, privacy, and compliance outcomes to measurable business value and adoption
Serve as an executive “title match” in late‑stage cycles
join roadmap and architecture reviews to clear risk blockers and accelerate time‑to‑value
Publish and present Glean’s AI security and governance point of view (talks, webinars, whitepapers, playbooks), with pragmatic guidance on topics like single‑tenant SaaS, customer‑hosted deployments, data residency, encryption and key management, permissions mirroring, and agent guardrails
Develop reusable artifacts for the field: RFP/RFI security templates, reference architectures, policy/control mappings, DPIA/PIA kits, incident communications templates, SIEM export and audit logging guides
Partner with Glean Product, Security/Privacy, and Legal on “voice of customer” for features and policies (e.g., residency, SIEM/audit integrations, data lifecycle, model controls, red‑teaming, prompt‑injection defenses, allow/deny model policies)
Co‑design adoption and governance programs with customer security, IT, data, and privacy teams, including role‑based access, retention, redaction, secrets and PII controls, and ongoing audit practices
Advise on AI governance operating models: risk tiering for use cases, human‑in‑the‑loop controls, evaluation gates, and production guardrails for agents and workflows

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Fulltime

Field Chief Security Officer

Field CSO to serve as Glean’s executive, customer‑facing security leader for pro...

Location

United States

Salary:

260000.00 - 320000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

10+ years in information security with executive‑level customer engagement
former CISO/CSO, Deputy CISO, Security Architect/Strategist, or advisory CISO experience strongly preferred
Deep command of enterprise security and cloud/SaaS controls: identity/SSO, least‑privilege, encryption at rest/in transit, key management, audit logging/SIEM, data residency/sovereignty, and third‑party risk
Hands‑on familiarity with major frameworks and regulatory needs: SOC 2 Type II, ISO 27001, GDPR/DPAs, HIPAA, and public sector expectations (e.g., TX‑RAMP
familiarity with FedRAMP requirements helpful)
Demonstrated experience guiding customers through DPIAs/PIAs, vendor assessments, and contractual security annexes
ability to compress complex risk into clear executive decisions
Practical understanding of AI/LLM security risks and mitigations: retrieval‑augmented generation (RAG) security, prompt injection defenses, jailbreak resistance, model access policies, and agent guardrails aligned to source permissions
Exceptional communication and storytelling skills with C‑suite and boards
proven impact in late‑stage deals and customer expansions

Job Responsibility

Act as the primary executive security advisor for named strategic accounts, partnering with Sales, SE, and CS to shape security strategy, deployment patterns, and program design for Glean’s Work AI platform
Lead and expedite security due diligence: DPIAs/PIAs, vendor risk assessments, data flow documentation, LLM‑related risk mitigations, and control mapping to frameworks (e.g., SOC 2, ISO 27001, HIPAA, GDPR, FedRAMP‑adjacent asks, TX‑RAMP)
Build compelling risk narratives and decision memos for C‑suite and Boards that connect security, privacy, and compliance outcomes to measurable business value and adoption
Serve as an executive “title match” in late‑stage cycles
join roadmap and architecture reviews to clear risk blockers and accelerate time‑to‑value
Publish and present Glean’s AI security and governance point of view (talks, webinars, whitepapers, playbooks), with pragmatic guidance on topics like single‑tenant SaaS, customer‑hosted deployments, data residency, encryption and key management, permissions mirroring, and agent guardrails
Develop reusable artifacts for the field: RFP/RFI security templates, reference architectures, policy/control mappings, DPIA/PIA kits, incident communications templates, SIEM export and audit logging guides
Partner with Glean Product, Security/Privacy, and Legal on “voice of customer” for features and policies (e.g., residency, SIEM/audit integrations, data lifecycle, model controls, red‑teaming, prompt‑injection defenses, allow/deny model policies)
Co‑design adoption and governance programs with customer security, IT, data, and privacy teams, including role‑based access, retention, redaction, secrets and PII controls, and ongoing audit practices
Advise on AI governance operating models: risk tiering for use cases, human‑in‑the‑loop controls, evaluation gates, and production guardrails for agents and workflows

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
vibrant company culture through regular events
healthy lunches daily

Fulltime

Staff Code Quality Engineer

Join us in our mission to transform the way people shop and eat, where impact, i...

Location

United Kingdom , London

Salary:

Not provided

DELIVER

Expiration Date

Until further notice

Requirements

Significant experience in Go: Strong software engineering fundamentals with a proven track record of building and operating production systems in Go or similar modern languages
Platform Engineering mindset: Demonstrated ownership of large-scale codebases or shared developer platforms used by many distributed teams
Expertise in CI/CD & Quality Controls: Proven experience designing automated quality controls such as static analysis, linting, policy enforcement, or code scanning
Strategic Thinking on Maintainability: Deep understanding of technical debt and how structural complexity impacts long-term system health and developer velocity
Forward-looking Technical Vision: Familiarity with state-of-the-art agentic AI development workflows and the ability to translate ambiguous quality concerns into reproducible technical controls

Job Responsibility

Architecting Quality Systems: Deliver consistent, trusted, and reproducible test coverage reporting for Go services, replacing legacy tooling and integrating cleanly into CI/CD and pull request workflows
Defining Automated Gates: Design and implement explicit, enforceable, and scalable quality gates across thousands of repositories to ensure high standards by default
Reducing Technical Debt: Build systems to identify unused code, weakly exercised paths, and uninstrumented logic to reduce structural complexity and improve system health
Powering AI-Assisted Development: Encode gating rules and quality expectations into agentic development workflows, ensuring AI-generated code meets the same rigorous standards as human-written code
Driving Engineering Excellence: Use data to track improvements in coverage trust and first-time quality gate passes, influencing engineering standards across a distributed, global organisation

What we offer

Competitive salary and equity options
Up to 5% matched pension contributions
Free Deliveroo Plus: free delivery and access to special offers
Team lunches from the best local restaurants
25 days annual leave plus bank holidays, increasing with length of time spent working at Deliveroo
One day of paid leave per year to volunteer with a registered charity
Funded single cover healthcare on our core plan, with the option to add family members at own cost
On-site gym (HQ), discounted external gym membership
Access to wellbeing apps such as LesMills+, Strava, Headspace, Yogaia via GymPass
Discounted dental insurance and a range of other flexible benefits, such as critical illness cover, partner life cover, travel insurance, health assessments

Fulltime

Golang Engineer

Location

United States , Phoenix

Salary:

125000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong Go (Golang) production experience — 3+ years
idiomatic Go, concurrency patterns, context management
API design experience: gRPC and/or REST
protobufs a plus
Experience designing and operating event-driven systems (pub/sub, message queues) and streaming processing
Familiarity with policy engines (OPA/rego) or ability to encode validation rules
Experience with CI/CD integrations (webhooks, pipeline triggers), authentication (OAuth, mTLS), secrets management
Observability: exposing Prometheus metrics, structured logging, distributed tracing
Solid testing and quality practices (go test, integration testing, fuzzing where appropriate)
Familiar with containerization and orchestration (Docker, Kubernetes) and deployment pipelines

Job Responsibility

Design, implement, test, and operate scalable Go services for NFR ingestion, vetting, validation, and gating
Implement robust schema encoding for NFR definitions, versioning, and migrations
Build integrations with CI/CD (webhooks, runners), policy engines (OPA/rego), observability (Prometheus, tracing), and downstream systems
Author core validation pipelines: synchronous (pre-merge) and asynchronous (post-build) checks, retries, backpressure handling
Create clear APIs (gRPC/REST) consumed by frontend and other platform components
Ensure auditability: immutable logs, tamper-evident records, traceability of gating decisions
Lead feature design, own rollout plans, and coordinate cross-functional stakeholders
Write thorough unit and integration tests, own CI/CD and deployment strategy for services

Fulltime

Select Country

Gate Agent

Robert Half

Location:
United States , Bedford Park

Category:
Customer Service

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Gate Agent