Senior Mobile Engineer to join the client's engineering team and contribute to the development and expansion of a mobile-first SaaS platform, focusing on building and delivering high-quality mobile features for iOS and Android applications.
Responsibilities
Design, develop, and maintain mobile application features using React Native
Build and deliver high-quality solutions for both iOS and Android platforms
Integrate mobile applications with existing REST APIs and backend services
Collaborate closely with the platform engineering team to ensure seamless integration between mobile and backend systems
Manage application state and ensure a consistent user experience across platforms
As a Forward Deployed Engineer, you help customers shape the future operating model using the latest AI, data, and cloud technologies, bridging consulting expertise with production-level software development.
Responsibilities
Translate unclear business problems and defined customer goals into clear technical implementation plans
Lead technical projects, coordinating sponsors, end-users, technical teams, and HSO colleagues
Develop functional, production-ready AI applications, agent-based workflows, automation solutions, and data-driven platforms
Design end-to-end solution architectures balancing speed, scalability, maintainability, security, and Responsible AI
Conceive, develop, integrate, test, and deploy enterprise solutions using modern cloud, data, and AI technologies
Passionate Software Engineer Intern eager to learn, grow, and make a real impact on how patients and providers get the right health content, contributing to designing, building, and optimizing the Content Intelligence platform.
Compensation
Base Salary Band: $23-$25 Hourly
Responsibilities
Collaborate with cross-functional teams to design and implement new features that enhance Content Intelligence capabilities
Develop, test, and deploy scalable services using modern frameworks and cloud technologies
Work in an AI-first, agentic development lifecycle (Agentic DLC), using AI agents and assistants such as Claude Code, Cursor, and GitHub Copilot across the full product lifecycle
Help build AI-powered capabilities such as content chatbots and full-text and vector (semantic) search
Build and deliver functionality with a security-first culture: secure coding, automated code and dependency scanning, secrets management, and least-privilege access built into every change
Requirements
Currently pursuing a bachelor’s or master’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field, with an expected graduation date of June 2028 or earlier
Collaborate with full‑time engineers to develop production‑level code for MongoDB products and services as part of a 24‑week hybrid internship program.
Responsibilities
Collaborate with full‑time engineers and cross‑functional teammates
Push production‑level code to MongoDB products and services
Contribute to impactful projects
Participate in mentorship and career coaching sessions
Engage in networking events and community activities
Requirements
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field
The Provider team builds the systems that power how group-based behavioral care is prepared, delivered, and improved over time, helping facilitators show up to every session informed, confident, and effective.
Compensation
The total target base compensation for this role will be between $140,000 and $185,000 per year at the commencement of employment.
Responsibilities
Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
Be an owner. Collaborate with product and design to iterate to top notch product solutions
Identify bottlenecks and implement improvements to engineering processes, tools, and procedures.
Build agentic offensive security tools: AI agents that find, validate and exploit vulnerabilities in applications, source code, cloud environments and infrastructure, the way a skilled red teamer would.
Responsibilities
Design and build production agentic systems that carry out security testing autonomously, covering planning, tool use, memory and multi-agent orchestration.
Turn attacker tradecraft into agent capability: translate attack techniques into tools, prompts, workflows and decision logic.
Build the tooling agents rely on, such as exploit harnesses, sandboxed execution environments, browser and API automation, and code analysis.
Build evaluation harnesses and benchmarks that measure how well agents find real vulnerabilities, how many false positives they raise, and what each run costs.
Reproduce and triage what the agents report, then feed the lessons back into the system.
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