Company Overview
CommerceIQ’s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world’s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world’s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai.
DevOps Lead:
Top consumer brands like Nestle, Kimberly Clark, Natures Bounty, Johnson & Johnson, Mondelez, Kellogg to name a few rely on CommerceIQ suite of products to make efficient business decisions on a daily basis. It is critical to have services which run high quality data and algorithms that drive business decisions for our customers in a timely manner. As a DevOps you are responsible for building scalable, extensible, secure infrastructure on cloud for CommerceIQ’s applications and data science teams.
In this role, you will work with a couple of Infra/DevOps SDEs and partner with engineering managers to achieve CommerceIQ’s QoQ goals. As a DevOps lead, you will play a crucial role in upkeep security, cost, deployment infrastructure and maintain/develop services owned by Infra/DevOps team.
A successful candidate will be obsessed with technology and relentlessly raise the bar on the architecture, design and quality of code delivered while aggressively pursuing optimizations to meet cost and scale SLAs. The candidate should be capable of managing a fast-paced delivery schedule and influence and drive a high-level engineering strategy with the leadership, as well as take a hands-on approach to implementing that strategy.
Functional level Expectations
- You should possess advanced knowledge of AWS and other software design approaches to guide the DevOps team in designing infrastructure that caters to scale, concurrency. Preferably AWS certified.
- You should be able to work in situations where you can use your prior expertise and judgment to determine goals, identify constraints, and propose an actionable plan.
- Your work is typically focused on working with multiple teams’ architecture and product solutions.
- You should be able to lead the design and implementation that are extensible and scalable
- For continuous integration and deployment
- For multi cloud deployments
- For DR of various services with CiQ infrastructure
- You should be able to influence as a “team lead”, management decisions and priorities and actively mentor to create force multipliers
- You should drive teams to adhere to engineering best practices in SDLC like code coverage, acceptance testing, CI/CD and design patterns that ensure consistency and standardization of architecture
- You should proactively simplify code, identify bottlenecks and resolve team architecture deficiencies.
- You should be able to work along with other SDEs on their team, build relationships with stakeholders including customers, product managers, cross functional partners and external partners and integrate for a cohesive launch.
Required Skills
- At least 6-8 years of technology experience including 3+ years of working experience in cloud
- Ideal candidate should have handled operations, deployment and security of multiple SaaS/B2C products
- Deep knowledge of Python, Cloud or GoLang and one of the public clouds
- Good knowledge of log collection designs like EFK and metric collection tools like newrelic, Prometheus/Grafana or SignalFx
- Good knowledge in design, creation and consumption of RESTful API, Micro service architectures on public clouds preferably AWS
- Excellent analytical, communication and coding skills is a must.
- Thorough orientation towards code reviews, coding/design standards and documentation
- Good knowledge in designing with messaging systems such as SQS, Kafka.
- Good knowledge in designing with ETL pipelines using AWS Step, Azkaban, Airflow
- Good knowledge of any big data engine like Spark would be an advantage.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.
