Search Jobs

Search by job, company or skills

Senior Engineering Manager

Senior Engineering Manager

valeo health me
Early Applicant
  • Posted 4 days ago
  • Be among the first 10 applicants

Job Description

About Valeo Health

Valeo Health is a preventive healthcare and wellness platform operating across Saudi Arabia (KSA) and the United Arab Emirates (UAE), offering diagnostics, teleconsultation, AI-driven health insights, supplements, and care programs. We are building AI-first, compliant, and scalable healthcare platforms that handle sensitive health data while delivering reliable, high-quality customer experiences across geographies.

Role Overview

We are looking for an Engineering Manager to lead the POD that builds and operates Valeo's compliance and finance platforms across KSA and the UAE. Your POD owns the integrations that keep Valeo legal and running — connecting to national health data exchanges (NABIDH, Malaffi, Riayati, NPHIES) and to Saudi Arabia's ZATCA e-invoicing (Fatoora) — end-to-end, from design and build through certification, go-live, and ongoing operation.

This is a backend- and integration-heavy role where correctness is non-negotiable — regulators, auditors, and patients depend on it. Driving AI adoption is a must: you will build AI into the platforms and roll out AI-assisted engineering across the team, while holding an uncompromising bar on data privacy and security (HIPAA, ISO 27001, UAE PDPL, KSA PDPL).

The Mindset We Hire For

These three traits matter more than any specific technology on your CV. If they don't describe you, this is not the right role.

Ownership: You don't escalate problems — you bring solutions. When a regulatory deadline or an

integration is at risk, you own it end to end until it's resolved.

Deliver Results: You measure your POD in systems shipped, integrations certified, and reliability

improved — not stand-ups attended.

AI-Forward & Quick to Learn: You actively adopt AI tools, get productive fast in unfamiliar

regulatory domains, and bring AI into your team's workflow without compromising compliance.

What We Expect from Our Engineering Managers

Own Delivery & Execution

• Own end-to-end delivery of compliance and finance integration platforms through a POD model.

• Translate dense regulatory and tax requirements into clear technical designs and execution plans.

• Balance speed, quality, reliability, and compliance — and know where there is zero tolerance for

error.

Build Reliable Regulatory & Finance Integrations

• Deliver and operate integrations with UAE health exchanges (NABIDH, Malaffi, Riayati) and KSA

NPHIES, using HL7 / FHIR.

• Build ZATCA e-invoicing (Fatoora) Phase 2 — UBL / XML, cryptographic stamps, QR codes,

clearance/reporting, and platform onboarding.

• Engineer resilient, observable integrations — retries, idempotency, reconciliation, and monitoring

against external platforms.

Drive AI Adoption (a must)

• Build AI into the platforms — document extraction, data mapping and validation, claims/coding

assistance, invoice reconciliation, and anomaly detection.

• Roll out AI-assisted engineering (coding, review, test generation, agentic workflows) to raise team

throughput and quality.

• Establish safe patterns for AI on regulated data — no PHI/PII exposure to third-party models, with

evals and guardrails.

Build Secure & Compliant Systems

• Ensure secure SDLC and data-privacy requirements across services and AI systems.

• Collaborate with Compliance, Security, and Legal on HIPAA, ISO 27001, UAE PDPL, and KSA

PDPL.

• Maintain audit readiness, certification, and documentation for regulator and government-platform

onboarding.

Lead Teams Effectively

• Manage and mentor a POD of 8–10 engineers.

• Drive sprint planning, estimation, execution, and delivery predictability.

• Upskill the team on applied AI and modern AI-assisted engineering practices.

• Make hiring decisions and grow the team in line with business priorities.

Key Responsibilities

• Own delivery and operation of compliance and finance integration platforms across KSA and UAE.

• Own the roadmap for embedding AI into the platforms and adopting AI tooling across the team.

• Manage certification, onboarding, and go-live with regulators and government platforms.

• Drive incident response, root-cause analysis, and post-mortems for integrations and AI systems.

• Define and track reliability, data-quality, and audit-readiness metrics and SLAs.

• Partner with Product, Compliance, Finance, and Legal on PDPL, HIPAA, and ISO 27001

obligations.

• Work with DevOps/SRE for uptime, scalability, and cost efficiency; hire and grow the team.

Required Qualifications

Experience

• 5–10 years of software engineering experience, with a strong backend/integrations focus.

• 2–4+ years as an Engineering Manager or Senior Tech Lead managing 6 or more engineers.

• Track record delivering compliance-heavy or regulated integrations end-to-end.

• Experience integrating with government or regulatory platforms is a strong plus.

Technical Skills

• Strong backend systems, APIs, and distributed / integration patterns — queues, retries,

idempotency, reconciliation.

• Healthcare data standards (HL7 / FHIR) and e-invoicing/tax formats (UBL / XML), or ability to

master them fast.

• Applied AI: LLM integration, RAG, model serving and evaluation; plus AI-assisted engineering

tooling.

• AWS or GCP, CI/CD pipelines, Kubernetes, and observability tools.

• Data security, encryption, and PII/PHI handling; understanding of AI data governance.

Leadership & Mindset

• Strong people-management and stakeholder-communication skills.

• Proven ability to drive change and AI adoption across an engineering team.

• Ability to operate in ambiguity while maintaining delivery discipline and a compliance-first mindset.

• High ownership, bias for action, and customer-first mindset.

What Success Looks Like (First 12 Months)

• The required KSA and UAE health-exchange and ZATCA integrations are live and compliant, on

regulatory timelines.

• AI is embedded in the platforms and in the team's workflow, with measurable gains in effort and

quality.

• Improved integration reliability and a reduction in production issues.

• Clean audits, with audit-ready documentation across owned systems.

• Strong team growth — including at least one engineer ready for promotion within the year.

Why Join Valeo Health

• Build and scale mission-critical compliance and finance platforms across international markets.

• High-impact role at the intersection of healthcare regulation, finance, and AI.

• Clear growth path toward Senior Engineering Manager and leadership roles.

More Info

Job Type:
Industry:
Employment Type:

Key Skills

RAG model serving

PHI handling

idempotency

UBL XML

LLM integration

Applied AI

observability tools

retries

distributed integration patterns

HL7 FHIR

backend systems

CI CD pipelines

queues

About Company

Similar Jobs

10-12 yrs
Bengaluru, India
Skills:
ServicenowDistributed SystemsGrafanaJiraKubernetesAWSLogicmonitorInfrastructure as Codemonitoring and observability platforms
10-12 yrs
Bengaluru, India
Skills:
Distributed SystemsScalabilityCloud-native SystemsGenerative AISoftware Development PracticesComplianceConversational ExperiencesRecommendation EnginesAI GovernanceArchitecture DesignPlatform-first EngineeringSecurityProduct Platform IntegrationsAI-powered WorkflowsIntelligent AutomationData and AI InitiativesReliabilityObservabilityperformance standards
12-14 yrs
₹ 40 - 45 LPA
Bengaluru, India
Skills:
snowflake containerization DatabricksDevopsData WarehousingGcpTerraformEdiMulesoftAWSKubernetesAzureDockerAWS API GatewaySparkLookerAI ML systemsAzure API ManagementdbtAgentic AI frameworksLangChainCrewAICI CD pipelinesEHR EMR integrationsinfrastructure-as-codeBI toolingdata analytics platformsAutoGenAPI gatewaysMLOps practices
10-12 yrs
Bengaluru, India
Skills:
ApisVersion ControlGitDistributed SystemsSystem DesignAgileScrumSoftware Engineeringdata pipelinesLLMsEngineering ManagementCI CDAI integrationsexternal SDKsthird-party platformsanalytics systems
3-5 yrs
Bengaluru, India
Skills:
distributed caching KafkaNode.jsDatadogTypescriptPythonAWSevent-driven microservicesasync event processingGoresilience patternsRelational DatabasesBackend architectureschema versioning