Senior Product Support Engineer

JLL · Construction & Real Estate

Gurugram, HR
On-site
Posted yesterday
Apply by 29 Oct
IT & Infrastructure

About the job

JLL empowers you to shape a brighter way .

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

Senior Product Support Engineer

PeopleSoft Billing Agent (Bill-to-Cash Agentic Platform)

Global Bill-to-Cash Operations — JLL Technology Centre of Expertise (location/shift TBD)

What this job involves:

About the role

#JLLTechAmbitions

The Bill-to-Cash (B2C) Agent automates Phase 2 of the IFM APAC (GGN India) billing process — ingesting client billing templates emailed by CFMs, analyzing and decomposing them into invoice groups, validating each group against SOP and PeopleSoft business rules, and raising temp/proforma invoices in PeopleSoft. It replaces a manual and RPA-based process (currently ~48-hour turnaround time, 86,000+ transactions per year across 500+ client accounts) with an event-driven, multi-agent pipeline hosted on AWS (Strands Graph on Amazon Bedrock AgentCore Runtime), integrating with M365/SharePoint, PeopleSoft (via APIM), Datadog, and Power BI.

JLL is seeking a Product Support manager to own day-to-day operational support of this platform across non-production and production environments — monitoring pipeline health, triaging failures and exceptions, coordinating fixes with Engineering, and acting as the operational point of contact for FinOps and Ops. Communication is key: this role requires clear triage, timely escalation, and clean handoffs across Engineering, FinOps, and Ops stakeholders in a global (APAC/EMEA) support model.

Responsibilities

Monitoring & Alerting

Monitor pipeline health using Datadog (APM, metrics, logs) and CloudWatch (native AWS monitoring, GenAI Observability) across all pipeline components — API Gateway, Lambdas, EventBridge, SQS, AgentCore Runtime, Aurora Postgres

Respond to CloudWatch alarms and Datadog alerts on node, tool, or component failures within defined response times

Track AWS Bedrock LLM cost and usage against budget alerts

Incident & Exception Handling

Triage pipeline exceptions using the handoff CSV (per-invoice-group pass/fail status, failing node, failing rule) and the linked SharePoint SR folder

Distinguish between transient/infrastructure failures (retry, escalate to Engineering) and business-rule/data failures (route to FinOps per the “restart, not resume” model — corrected templates re-enter as a new SR)

Monitor the SQS Dead-Letter Queue and work with Engineering to identify and resolve stuck or failed messages

Ensure success, partial-success, and exception notifications (via SendGrid) are reaching FinOps as expected

SLA & Throughput Management

Track adherence to the T+1 business-day SLA for temp invoice creation from successful receipt of the billing template

Use the Power BI Ops dashboard (sourced from Aurora via EDP Sync) to monitor throughput, latency, and exception volume, escalating any degradation trends

Monitor for month-end volume peaks (steady-state ~7,000 invoice transactions/month) and flag scaling or capacity concerns

Data & Reference Integrity

Monitor the scheduled Refresh Lambda that mirrors SOPs/mappers (SharePoint → S3) and PeopleSoft reference data (project config, addresses, tax codes, service types → Aurora), and confirm refresh jobs complete successfully

Escalate any signs of stale reference data being served, given the requirement that accrual checks always run live and the system must never silently serve stale or incorrect financial data

Support root-cause investigation when reference data discrepancies (e.g., address resolution, tax code mismatches) drive validation failures

Environment & Release Support

Support Dev, UAT, and Production environments (all AWS us-east-1), including coordination of deployments via the standard dev-UAT-prod SDLC

Verify IaC (Terraform)-provisioned resources are healthy post-deployment

Participate in Snyk/Wiz security scan remediation coordination as needed

Audit & Compliance Support

Support FinOps and Engineering with queries against the append-only PipelineStepLog (Aurora) audit trail (input, output, confidence score, and status per pipeline event) for audit or investigation requests

Ensure no financial content is inadvertently routed outside approved channels (e.g., confirming Datadog exports remain metrics/logs/traces only, per data classification requirements under Policy 27)

Continuous Improvement

Feed recurring failure patterns (e.g., frequent validation rule breaches, template classification misses) back to Engineering and FinOps for SOP, mapper, or client-recipe updates

Support AgentCore Evaluations by flagging live incidents that may indicate golden dataset gaps

Purpose of the Role

Own day-to-day operational support of the billing agent pipeline: proactively monitor node/tool health, respond to alerts, and triage and resolve (or escalate) failures within SLA

Ensure Ops and FinOps teams can rely on accurate, timely temp invoice creation

Support Dev, UAT, and Production environments under the direction of Engineering and FinOps leadership

Act as the operational point of contact for FinOps/Ops, ensuring clean handoffs between Engineering, FinOps, and Ops

Sounds like you? To apply you need to be:

Experience & Education

Experience in production/application support for cloud-hosted, event-driven systems (ideally AWS)

Working knowledge of AWS services: Lambda, SQS/DLQ, EventBridge, S3, Aurora Postgres (or equivalent RDBMS), API Gateway

Understanding of, or willingness to learn, PeopleSoft billing/invoicing concepts (temp/proforma invoices, HSN codes, GST/tax codes, address sequence codes) — training will be provided via the SOP repository

Technical Skills & Competencies

Familiarity with observability tooling — Datadog and/or CloudWatch (dashboards, alarms, log search)

Comfortable reading structured logs/JSON payloads to triage failures (SQL for Aurora queries a plus)

Familiarity with Microsoft 365 / SharePoint / Graph API-based workflows is a plus

Exposure to AI/LLM-based or agentic systems (e.g., Amazon Bedrock, AgentCore) is a plus but not required

Strong incident-management discipline: clear triage, timely escalation, and clean handoffs

Comfortable working across Engineering, FinOps, and Ops stakeholders in a global (APAC/EMEA) support model

Ability to identify risks and issues and propose solutions effectively

Self-starter able to execute with minimal supervision; ability to work autonomously, but as a team contributor

Excellent verbal and written communication skills

What success looks like:

Alerts acknowledged and triaged within agreed response windows

Exceptions correctly routed (Engineering vs. FinOps) with minimal back-and-forth

T+1 SLA breaches identified early and escalated proactively, not discovered after the fact

No incidents of stale/incorrect financial data being served without detection

Clean, actionable input into Engineering/FinOps on recurring failure patterns

What we can do for you:

You’ll join an entrepreneurial, inclusive culture. One where we succeed together — across the desk and around the globe. Where like-minded people work naturally together to achieve great things.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits, and pay.

Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sight and imagine where JLL can take you…

Apply today!

Note: Content is derived from the solution's Consolidated Design Record (CDR) — architecture, NFRs, tools, and process flow. Compensation, reporting line, location/shift requirements, and exact SLA response-time targets are not specified in the source document and should be added by the hiring manager/HR before posting.

Location:

On-site –Gurugram, HR

Scheduled Weekly Hours:

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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