Data Center Engineer

4 weeks ago

Mumbai, India SIG Full time

Overview


We’re looking for an experienced Data Center Engineer to design, build, scale, and perform daily upkeep in our regional data and colocation centers. This is a hands-on position that will require a strong communicator with excellent people skills who can manage projects and take ownership.

You will join an interdisciplinary team made up of several groups across SIG, including our Network, Server, Facilities Engineering, Market Data, and Trading teams, along with some external data center operators, colocation and smart hands service providers, and cabling, hardware, and telco vendors. You will collaborate with these stakeholders to:

Design plans for new equipment deployments using data center best practices Coordinate logistical tasks across locations, including procurement, shipping, moving, and keeping inventory of our equipment, cabling, and parts Install, cable, configure, and troubleshoot different types of network and server equipment Install and configure server OS in a PXE environment (fundamental Linux knowledge is required to deploy network equipment) Ensure all our data centers uphold the highest standards in terms of security, organization, documentation, safety, cleanliness, and supply management

What you can expect from us:

Real Impact:  By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimize systems that can process massive amounts of data while still ensuring high performance and stability. You’ll see how your contributions towards developing and supporting leading-edge hardware and software technologies make a firm-wide impact that makes us all smarter, faster, and better.

Collaboration: You will partner closely with our Infrastructure Teams to deliver and manage scalable and highly performant systems to support trading in the region and globally.

Growth:  For many of our roles, we don’t expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.

Benefits:  SIG offers a wide array of competitive employee perks & benefits. 


What we're looking for
5+ years of experience working in a data center environment with strong knowledge of data center best practices and cabling methodology Self-starter; motivated to work independently and improve processes where possible Knowledgeable in networking fundamentals; can address Layer 2 and 3 connectivity issues Proficient in a Linux environment (Scripting skills in Bash or Python are a plus) Experienced with a variety of server and network hardware (e.g., Dell, Cisco, Arista, Ciena, OTDR testing tools like EXFO and VIAVI) Can design, deploy, test, and troubleshoot both copper and fiber cabling

Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities. 

About SIG

SIG is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results together.

What we do

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialised, allowing for a deep understanding of unique drivers of each asset class.

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