Senior Technical Specialist

HCLTech • Marketplaces • IT Consulting & Digital Transformation • Certification required • Python • SQL • Apex • 4 days ago

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Salary

≈ $55k – $136k per year (Estimated)

Location

In office (Mexico)

Seniority

Senior

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 9, 2026.

Overview

Company

Impact

Profile match

HCLTech

HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

hcltech.com • HQ: Noida, India • Systems Integrators • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • 5000+ employees • Est. 1976

Tech stack of HCLTech

Job Summary

Responsibilities

Diagnose issues end to end across GCP logs, Cloud SQL state and the BigQuery payload registry.
Take action: redeploy/rollback via GitHub, adjust Cloud Run parameters, re-trigger jobs, launch reprocessing, apply workarounds.
Isolate third-party faults (ERP data, MuleSoft, marketplace) from Snacksync defects; produce evidence and execute handoffs.
Deliver corrective fixes (DEV→NPRD→PRD) with regression, smoke and post-deployment validation; author runbooks and RCAs.

Technical skills

SQL / PostgreSQL on Cloud SQL - confident diagnostic and corrective queries against operational state.
GCP log analysis - Cloud Logging / Logs Explorer with cross-service, timestamp-correlated tracing of a single transaction; log-based metrics.
BigQuery - SQL over the payload registry for request/response forensics and fault attribution.
Python - exception reading and debugging of FastAPI microservices; stack-trace triage.
Good to have E-commerce fundamentals - order-to-cash, pricing, catalog, credit, promotions.

Platform & tooling

Cloud Run and Cloud Run Jobs - service config, revisions, concurrency and min-instance tuning, rollout/rollback.
Pub/Sub - subscriptions, dead-letter/redelivery, message retention, backlog triage.
Cloud Monitoring - dashboards, alerting policies, uptime/latency signals (Datadog exposure a plus).
Docker/containers and Artifact Registry; GitHub & GitHub Actions CI/CD, workflow_dispatch, branch↔environment model.
Alembic schema migrations; Secret Manager, IAM and per-country/marketplace service accounts.
REST/JSON API troubleshooting (VTEX, BEES) - auth/tokens, status codes, retries/backoff, throttling; Postman or equivalent.
Resilience patterns: idempotency, deduplication, checksum change detection; MuleSoft interaction awareness (5xx/timeouts).
Cloud Load Balancing & IAP basics; Firestore/Cloud Storage for supporting functions. Kubernetes/GKE familiarity a plus given the 2026 migration.

GCP certification mandatory.

Key Responsibilities

Responsibilities

Diagnose issues end to end across GCP logs, Cloud SQL state and the BigQuery payload registry.
Take action: redeploy/rollback via GitHub, adjust Cloud Run parameters, re-trigger jobs, launch reprocessing, apply workarounds.
Isolate third-party faults (ERP data, MuleSoft, marketplace) from Snacksync defects; produce evidence and execute handoffs.
Deliver corrective fixes (DEV→NPRD→PRD) with regression, smoke and post-deployment validation; author runbooks and RCAs.

Technical skills

SQL / PostgreSQL on Cloud SQL - confident diagnostic and corrective queries against operational state.
GCP log analysis - Cloud Logging / Logs Explorer with cross-service, timestamp-correlated tracing of a single transaction; log-based metrics.
BigQuery - SQL over the payload registry for request/response forensics and fault attribution.
Python - exception reading and debugging of FastAPI microservices; stack-trace triage.
Good to have E-commerce fundamentals - order-to-cash, pricing, catalog, credit, promotions.

Platform & tooling

Cloud Run and Cloud Run Jobs - service config, revisions, concurrency and min-instance tuning, rollout/rollback.
Pub/Sub - subscriptions, dead-letter/redelivery, message retention, backlog triage.
Cloud Monitoring - dashboards, alerting policies, uptime/latency signals (Datadog exposure a plus).
Docker/containers and Artifact Registry; GitHub & GitHub Actions CI/CD, workflow_dispatch, branch↔environment model.
Alembic schema migrations; Secret Manager, IAM and per-country/marketplace service accounts.
REST/JSON API troubleshooting (VTEX, BEES) - auth/tokens, status codes, retries/backoff, throttling; Postman or equivalent.
Resilience patterns: idempotency, deduplication, checksum change detection; MuleSoft interaction awareness (5xx/timeouts).
Cloud Load Balancing & IAP basics; Firestore/Cloud Storage for supporting functions. Kubernetes/GKE familiarity a plus given the 2026 migration.

GCP certification mandatory.

Skill Requirements

Responsibilities

Diagnose issues end to end across GCP logs, Cloud SQL state and the BigQuery payload registry.
Take action: redeploy/rollback via GitHub, adjust Cloud Run parameters, re-trigger jobs, launch reprocessing, apply workarounds.
Isolate third-party faults (ERP data, MuleSoft, marketplace) from Snacksync defects; produce evidence and execute handoffs.
Deliver corrective fixes (DEV→NPRD→PRD) with regression, smoke and post-deployment validation; author runbooks and RCAs.

Technical skills

SQL / PostgreSQL on Cloud SQL - confident diagnostic and corrective queries against operational state.
GCP log analysis - Cloud Logging / Logs Explorer with cross-service, timestamp-correlated tracing of a single transaction; log-based metrics.
BigQuery - SQL over the payload registry for request/response forensics and fault attribution.
Python - exception reading and debugging of FastAPI microservices; stack-trace triage.
Good to have E-commerce fundamentals - order-to-cash, pricing, catalog, credit, promotions.

Platform & tooling

Cloud Run and Cloud Run Jobs - service config, revisions, concurrency and min-instance tuning, rollout/rollback.
Pub/Sub - subscriptions, dead-letter/redelivery, message retention, backlog triage.
Cloud Monitoring - dashboards, alerting policies, uptime/latency signals (Datadog exposure a plus).
Docker/containers and Artifact Registry; GitHub & GitHub Actions CI/CD, workflow_dispatch, branch↔environment model.
Alembic schema migrations; Secret Manager, IAM and per-country/marketplace service accounts.
REST/JSON API troubleshooting (VTEX, BEES) - auth/tokens, status codes, retries/backoff, throttling; Postman or equivalent.
Resilience patterns: idempotency, deduplication, checksum change detection; MuleSoft interaction awareness (5xx/timeouts).
Cloud Load Balancing & IAP basics; Firestore/Cloud Storage for supporting functions. Kubernetes/GKE familiarity a plus given the 2026 migration.

GCP certification mandatory.

Other Requirements

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