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End-to-End Delivery: Lead complex Information Systems projects from end to end, including all lifecycle stages (initiation, planning, execution, monitoring, and closure/maintenance).
Problem Solving: Find creative and effective solutions for complex technical and business challenges.
system Implementation & Configuration: Manage and implement salesforce configuration tasks, including validation rules, approval processes, workflows, and flows.
Global Support & Enhancement: Work closely with international teams to provide system support, training, gather feedback, and implement system enhancements.
Reporting & Analytics: Create rich, actionable analytic reports for various teams and management.

Job Description
As a member of the R&D Team, the salesforce Developer 's role is to work with business partners to realize the full capability of the CRM. You'll be responsible for design and development of customizations, extensions, configurations, and integrations. The salesforce Developer will be in charge of design, development, testing, and change management. Drive highly visible salesforce initiatives across the organization including building applications on the Force.com platform and supporting integrations with salesforce.

We are looking for an experienced, creative, and highly motivated Product Manager with experience in complex cybersecurity products to join us and lead some of our portfolio's most innovative parts.

What you'll do:
Collaborate with executives, peers, clients, and analysts to define the vision and strategy of the domain under your responsibility.
Translate strategy to product roadmaps based on market requirements, competitive position, and operational constraints.
Communicate plans and establish shared understanding across the company by building consensus on priorities.
Oversee product development by our top-notch RnD organization.
Work closely with Pre and post-sales teams to ensure product market fit and customer satisfaction. Define and analyze metrics that inform the success of products.
Maximize efficiency and improve product management methodologies

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.

What you will do:

Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.

Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.

Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).

Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.

Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.

Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.

Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

We are looking for an experienced Staff Technical Program Manager. This role involves overseeing the planning, execution, and delivery of technical projects within our organization, while also managing deployments to production environments. The ideal candidate will possess strong project management skills, technical understanding, and the ability to effectively communicate with cross-functional teams.

What you will do:
Project management Lead and manage the end-to-end lifecycle of complex technological projects - understands projects goals and details, proficient in crafting project roadmaps, overseeing scope, backlog, and timelines, monitoring crucial milestones, managing KPIs, and navigating essential dependencies.
Identify and mitigate risks, resolve issues, and make adjustments as necessary.
Establish continuous improvement as part of the culture, processes and tools.
Define and enforce best practices and standards for the production environments operations.
Facilitate and guide R&D teams in the release planning and delivery process, ensuring effective collaboration & execution while defining and implementing best practices and tools.
Ensure cross organizational communication and process coordination, serving as the focal point for project health visibility and strategic status reporting to senior executives
Identify problems by observing and studying system functions and performance results.

We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.

We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.

What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.