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Director Bot Developer Jobs in California (NOW HIRING)

Senior Network Engineer

Los Angeles, CA ยท Hybrid

$112K - $153K/yr

Own the partner connectivity estate, managing site-to-site VPNs, BGP peering, and Direct Connect ... Service mesh or API gateway operations; edge and CDN security (WAF, bot management); campus and ...

Senior Network Engineer

San Diego, CA ยท Hybrid

$110K - $151K/yr

Own the partner connectivity estate, managing site-to-site VPNs, BGP peering, and Direct Connect ... Service mesh or API gateway operations; edge and CDN security (WAF, bot management); campus and ...

Software Engineer (Agentic Systems)

San Francisco, CA ยท On-site

$203K - $241K/yr

Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect ... This position reports directly to our Senior Director of Engineering and has the opportunity to be ...

Senior Embedded Software Engineer

Redwood City, CA ยท On-site

$151K - $199K/yr

Make tradeoffs that improve the whole, not just your direct area of ownership. Exercise judgment. Apply the engineering rigor the risk requires. Make timely decisions with the available evidence ...

Senior Security Engineer

Mountain View, CA ยท On-site

$170K - $215K/yr

Partner with DevOps/IT on patch management and secure infrastructure defaults, and present tooling ... Build and tune detection pipelines -- for example, feeding traffic/bot-protection alerts (Datadome ...

... direct access to teams. Requirements * 5-8+ years across product, engineering, AI workflows ... Sharp product judgment on when to use a prompt, bot, script, SOP, workflow, dashboard, or no tool.

Showing results 41-60

Director Bot Developer information

What is the difference between Director Bot Developer vs Chatbot Developer?

AspectDirector Bot DeveloperChatbot Developer
Required CredentialsBachelor's in Computer Science, AI, or related field; experience in AI and bot developmentBachelor's in CS, Software Engineering, or related; coding skills in Python, JavaScript, or similar
Work EnvironmentLeadership role overseeing teams, strategic planning, project managementHands-on coding, designing chatbot interactions, testing
Employer & Industry UsageTech companies, AI firms, large enterprisesStartups, customer service, marketing sectors

The main difference is that a Director Bot Developer focuses on leading teams and strategic oversight of bot projects, while a Chatbot Developer is primarily involved in coding and building chatbots. The Director role involves higher-level management and planning, whereas the Chatbot Developer handles the technical implementation.

What are the most commonly searched types of Bot Developer jobs in California?

The most popular types of Bot Developer jobs in California are:

What are popular job titles related to Director Bot Developer jobs in California?

For Director Bot Developer jobs in California, the most frequently searched job titles are:

Infographic showing various Director Bot Developer job openings in California as of September 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Network Engineer

Los Angeles, CA โ€ข Hybrid

Altruist
Finance and Insuranceย โ€ขย 11 - 50 employees

$112K - $153K/yr

Full-time

Posted 4 days ago


Job description

About the position

Altruist is the modern custodian built exclusively for independent financial advisors, combining a self-clearing brokerage firm with intuitive software for account opening, trading, reporting, and billing. Our mission is to make financial advice better, more affordable, and accessible to everyone.

We're hiring our first dedicated Senior Network Engineer. We run a regulated broker-dealer and clearing platform on a multi-account, multi-region AWS estate, connected to clearing, custody, market-data, and banking partners over dedicated circuits and encrypted tunnels. You will own how those networks are designed, segmented, secured, and operated - from cloud routing topology and partner connectivity to how our own people reach internal systems - working in close partnership with our Security team, whose requirements shape much of this roadmap, and bringing an AI-native approach to the work. You will set the standards here, not inherit someone else's.

This role follows a hybrid schedule, with three days per week onsite in our San Francisco FiDi or Culver City office.

Your impact

  • Own the multi-region AWS network architecture, including transit gateway topology, VPC design, address-space strategy, and routing across production, clearing, and platform environments.
  • Design and enforce segmentation to isolate workload, corporate, and partner traffic, ensuring the network layer is delivered as code via Terraform and GitOps.
  • Lead the transition to a zero trust / SASE access model, ensuring application-level access and strong device posture for a distributed engineering team.
  • Collaborate closely with Security to translate threat models into durable network designs that meet regulated-industry standards and audit requirements.
  • Own the partner connectivity estate, managing site-to-site VPNs, BGP peering, and Direct Connect circuits to financial-services counterparties.
  • Manage office and edge networking, including ISP redundancy and connectivity standards for new locations.
  • Define network observability and serve as the senior escalation point for incidents, disaster recovery, and cross-region failover.
  • Apply an AI-native approach to network operations, using agentic workflows for audit, drift detection, and rapid analysis of configuration and flow data.
  • Provide technical leadership by writing standards, reviewing designs across teams, and mentoring engineers to ensure network resiliency.

What you'll bring

  • Experience - 7+ years in network engineering, including 3+ in cloud-native environments. You have owned a production network, not just operated tickets against one.
    • Deep AWS networking: VPC design, Transit Gateway, Direct Connect, VPN, Route 53, PrivateLink, NAT and egress patterns, and security group design at scale.
    • Strong fundamentals - routing and BGP, IPsec, TLS, DNS, DHCP - and the ability to read a packet capture when a vendor says the problem is on your side.
    • Hands-on experience designing or operating network segmentation and traffic inspection, in cloud, on-prem, or hybrid.
    • Zero trust / SASE experience: ZTNA, secure web gateway, CASB, or device-posture-conditioned access. Zscaler, Netskope, or Prisma is a strong plus.
    • Terraform and infrastructure as code as your default, plus scripting ability (Python, Bash, or Go) and comfort with cloud APIs.
    • Working knowledge of Kubernetes networking - CNI behavior, ingress, service exposure, and where east-west traffic actually goes.
  • An AI-native approach - a requirement, not a nice-to-have. You already use AI tooling to write and review code, analyze configuration and logs at scale, and reason about large estates, and you verify its output before it touches production.
  • A security partnership mindset - you treat security requirements as design input, not obstacle, and can hold a technical disagreement with a security engineer and land somewhere better than where either of you started.
  • Judgment and ownership - you have worked somewhere a change window is real, you document accepted risk rather than quietly leaving it undocumented, and you can hold your own with a partner's network team on a bridge call.
  • Education - ideally a B.A. / B.S. in Computer Science, Network Engineering, or a related field, but experience and understanding matter just as much.

Bonus points if you bring

  • Financial services, brokerage, or another regulated industry - including connectivity to clearing, custody, banking, or market-data counterparties.
  • Network integration through an acquisition or enterprise merger - address-space reconciliation and meeting a larger partner's standards.
  • Expertise with AI (Claude) best practices, including agentic workflows applied to infrastructure operations.
  • Service mesh or API gateway operations; edge and CDN security (WAF, bot management); campus and branch networking.
  • Certifications such as AWS Advanced Networking Specialty, CCNP/CCIE, or JNCIP.