Integration Engineer

SourcingXPress; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

SourcingXPress is seeking an experienced integration engineer in Hyderabad to own the technical path from discovery to go-live for client integrations. Key responsibilities include building data pipelines, designing reusable connectors, and managing secure authentication.

The ideal candidate has 5+ years in integration engineering, a strong background in APIs, and proficiency in Python or TypeScript. Excellent communication skills and cloud experience are essential.

Qualifications

• 5+ years in Integration, Solutions, or Platform/Backend Engineering.
• Strong in APIs (REST/GraphQL/gRPC), webhooks, and auth flows.
• Proficient in Python (preferred) or TypeScript/Go.

Responsibilities

• Translate business workflows into technical designs for integrations.
• Build and maintain MediaMint AI connectors.
• Implement SSO, manage secrets and least-privilege IAM.

Skills

Integration Engineering

API Design

Python

Cloud (AWS/GCP/Azure)

Data Pipeline Development

Debugging

Communication Skills

Job description

What do we do?

MediaMint is an AI‑powered Revenue Operations services company dedicated to accelerating innovation and revenue growth for platforms and publishers worldwide. Our mission is to enhance operational efficiency, scalability, customer satisfaction, and data‑driven insights through advanced technology, automation, and AI capabilities. We serve industry leaders across AdTech, Consumer, CTV, Publishing, and Retail.

The Opportunity

You’ll own the technical path from discovery to go‑live for client integrations: APIs, data pipelines, secure auth, and eventing that power MediaMint’s AI agents. You’ll build reusable connectors and playbooks that scale across 150+ global accounts, partnering closely with Product, Service Delivery, and Platform Engineering.

Responsibilities

• Integration Ownership – Translate business workflows into technical designs; implement and validate integrations across REST/GraphQL APIs, webhooks, event streams, and bulk data jobs.
• Reusable Connectors & SDKs – Build and maintain MediaMint AI connectors (auth, pagination, rate‑limit handling, retries, schema mapping) and light SDKs/templates to accelerate future work.
• Data Onboarding & Modeling – Map and normalize client data (campaigns, audiences, creatives, spend, outcomes) into MediaMint’s canonical schemas; add validation, deduplication, and lineage checks.
• Identity & Access – Implement SSO/SAML/OAuth2/SCIM; manage secrets and least‑privilege IAM; ensure tenancy isolation and secure data paths (VPC peering, PrivateLink/Private Service Connect).
• Eventing & Automations – Wire streaming/event‑driven flows (Kafka/Pub/Sub/Kinesis), idempotent processors, retries, and dead‑letter queues for resilient automations.
• Quality & Observability – Instrument integrations with logs/metrics/traces; define SLIs/SLOs; author runbooks and escalation paths; lead blameless RCAs and preventative fixes.
• Security & Compliance – Embed privacy by design (PII handling, minimization, consent, retention) aligned to SOC 2, ISO 27001, and GDPR/CCPA.
• Partnering & Solutioning – Join discovery/presales to scope feasibility, draft high‑level designs, estimate effort/risks, and set clear expectations.

Qualifications

• 5+ years in Integration, Solutions, or Platform/Backend Engineering delivering production‑grade integrations for SaaS or data platforms.
• Strong in APIs (REST/GraphQL/gRPC), webhooks, and auth flows (OAuth 2.0, SAML, SCIM); hands‑on secret management.
• Proficient in Python (preferred) or TypeScript/Go; comfortable with Linux, containers, and CI/CD.
• Cloud experience in AWS/GCP/Azure (networking, IAM, VPC networking, private connectivity, cost/throughput trade‑offs).
• Built data pipelines (batch & streaming) with Airflow/Cloud Composer, dbt, Kafka/Pub/Sub/Kinesis; warehouses such as Snowflake/BigQuery/Redshift.
• Knowledge of contracts & change management (OpenAPI/Swagger, versioning, backward compatibility, feature flags, blue‑green/canary).
• Evidence of debugging and performance tuning across API limits, serialization, async queues, concurrency, and storage layers.
• Clear written and verbal communication with both technical and non‑technical stakeholders.

Nice to Have

• Domain familiarity with AdTech/MarTech/RevOps data models (campaigns, pacing, attribution, audiences, product feeds).
• Exposure to agentic/AI workflows (prompt orchestration, evaluation, feedback signals) and tooling such as MLflow, Vertex AI, or Bedrock.
• Experience with multi‑tenant design and tenant‑aware observability, throttling, and isolation.
• Contributions to integration playbooks, sample apps, or open‑source connectors.