We seek highly dedicated, motivated, and Sr. AdTech Cloud Architect & Platform Engineer. who can use the right tools to find the best solutions to problems. We embrace the Agile methodology and as part of a scrum team you will play an important role in all aspects of product development- design, development, integration, and testing. And you will share in the pride and satisfaction as your work makes it into production at INVIDIs clients.

This is a critical role requiring a rare blend of strategic architectural vision and deep, hands-on engineering execution. For the first six months, the contractor will function as a high-velocity consultant in collaboration with the development team. The primary goal is to diagnose systemic architecture issues in our complex, high-scale Digital Campaign Manager and Ad Server (GCP, Kubernetes, Bigtable, etc.), recommend and implement optimizations to reduce cost, strengthening security, and creating a flexible, loosely coupled modular design to enable small, self-contained and independent deployable units. Success in this phase is the primary pathway to conversion.

Key Responsibilities :

Rapid System Analysis & Knowledge Transfer (KT) :

- System Ingestion : Quickly and autonomously on-board onto the existing complex digital campaign management and ad serving platform architecture within the first 1-2 weeks.

- Documentation : Create high-quality, practical documentation and runbooks for the existing infrastructure, service dependencies, data flow pipelines, and core business logic related to ad selection, bidding, and campaign throttling.

- Code Review : Conduct targeted code and configuration reviews to identify technical debt, security gaps, and immediate performance optimization opportunities within the high-traffic services.

- Technical Deep Dive & Optimization

- GCP & Kubernetes : Analyze the Google Kubernetes Engine (GKE) clusters, including resource allocation, autoscaling strategies, networking (VPC, load balancers), and service mesh configurations for latency-sensitive ad requests.

- Data Tier Expertise : Deeply analyze the utilization and schema of key data services, specifically Google Cloud Bigtable and AstroDB (or substitute with a specific NoSQL/NewSQL service), to diagnose and improve read/write latency, cost efficiency, and query performance.

- Relational Database Tuning : Tune and optimize the performance of MySQL databases used for campaign configuration, reporting, and real-time inventory management.

- CI/CD & Observability : Review and recommend improvements to the existing CI/CD pipelines (e.g. Cloud Build, Bitbucket, Jenkins) and observability stack (e.g. Cloud Monitoring, Prometheus, Grafana, Datadog) to enhance deployment speed and incident response.

Collaboration & Mentorship :

- Work collaboratively with the existing in-house development and DevOps teams in consultation with Architecture and AppSec teams to provide clear, concise technical guidance

and mentorship on best practices for cloud-native AdTech development.

- Present findings, recommendations, and execution plans clearly to both technical peers and

non-technical stakeholders (e.g. Product Managers).

Skills & Qualifications :

- 10+ years of progressive experience in software engineering, with at least 5+ years focused on high-scale, cloud-native distributed systems.

- Deep, hands-on expertise in Google Cloud Platform (GCP) & Kafka, specifically :

- Container Orchestration : Expert-level proficiency with Kubernetes (GKE), including cluster

operations, Helm, manifest management, and networking policies.

- NoSQL/Big Data : Proven experience with Cloud Bigtable data modeling, performance tuning,

and schema design for low-latency, high-throughput use cases (mandatory).

- Databases : Strong proficiency with SQL/NoSQL systems like MySQL, AstroDB (or equivalent),

including advanced query optimization and replication.

- AdTech/High-Performance Experience : Direct experience developing or managing low-

latency, high-RPS platforms (e.g., Ad Servers, RTB Bidders, Payment Gateways).

- Programming : Strong proficiency in at least one relevant backend language (e.g., Go, Python,

Java) used in cloud microservices.

- DevOps/IaC : Experience with Infrastructure as Code (IaC) tools like Terraform or Deployment

Manager.

- Exceptional Learning Agility : Proven ability to rapidly absorb and navigate complex,

undocumented systems.

- Self-Directed & Accountable : Capable of working independently, prioritizing tasks based on business impact, and delivering concrete results under contract timelines.

- Excellent Communication : Ability to communicate technical analysis, risks, and recommendations to a mixed audience (engineers, executives, product owners).

It would be very good if you have experience in :

- GCP Professional Cloud Architect or Professional Cloud DevOps Engineer Certification

- Experience with streaming data technologies like Cloud Pub/Sub or Apache Kafka

- Familiarity with advertising campaign budgeting/throttling logic

- Experience with migrating or refactoring legacy components into microservices