Modern hybrid leadership development to close the leadership gap.
Integration Engineer – Mulesoft
Location
United States
Posted
1 day ago
Salary
$95K - $107.5K / year
Seniority
Senior
Job Description
Integration Engineer – Mulesoft
Leader Labs
• Design, build, and maintain MuleSoft integrations across the API-led layers (System, Process, and Experience) • Lead integration architecture discussions and contribute to solution design alongside architects • Audit inherited integrations and propose corrections, including restructuring APIs that sit at the wrong architectural layer • Coach client integration teams on MuleSoft best practices, helping them move from ad-hoc patterns to sound API-led design • Mentor junior developers through pair programming, code reviews, and direct guidance • Write clean, well-documented, testable integration code with robust error handling, retry logic, and observability • Identify and resolve complex integration challenges across Salesforce, notification platforms, and other connected systems • Collaborate with Salesforce developers and QA to ensure end-to-end quality across integrated workflows • Translate public health workflows into reliable, scalable integration patterns • Contribute to code reviews with constructive, supportive feedback
Job Requirements
- 5+ years of hands-on MuleSoft development experience at a senior level, on Mule 4
- 1-3 years working for a governmental public health agency (local, state, federal, or tribal)
- MuleSoft Certified Developer required
- Strong Java background
- Experience working in Agile or SAFe environments
- Strong collaboration and communication skills
- Track record of mentoring or guiding less experienced developers, including across organizational boundaries
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Armis is the leading unified asset visibility and cybersecurity intelligence platform — trusted by Fortune 100 enterprises and governments to protect unmanaged, IoT, OT, and IT environments. 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Qualifications - 6–10+ years of experience in Vulnerability Management, Threat Intelligence, or Security Detection Engineering. - Deep expertise in CVSS, CWE/CVE, NVD, KEV, and exploit prediction (EPSS) frameworks. - Hands-on experience with vulnerability and detection management platforms (Tenable, Qualys, Rapid7, Wiz, Prisma Cloud, ServiceNow VR, Centrix for VMDR). - Proven ability to develop automation scripts and data pipelines (Python, PowerShell, Bash, REST APIs, JSON). - Familiarity with risk-based vulnerability management (RBVM) and prioritization scoring models. - Strong understanding of cloud-native security, container scanning, and hybrid infrastructure (AWS, Azure, GCP). - Exceptional data storytelling skills — turning technical findings into actionable executive insights. - Demonstrated ability to work independently and as part of a team. - Exceptional communication skills across all levels of technical, middle management, and executive leadership personnel. - Bachelor’s or Master’s degree in Information Security, Computer Science, or related discipline. - Previous experience operating in a "Voice of the Customer" (VoC) technical role directly embedded with Product Engineering pods. - A track record of mentoring senior technical staff (TCMs, TAMs, or Solutions Engineers) and developing scalable knowledge-sharing frameworks. 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