LONDON, United Kingdom
10 days ago
DevOps - Unix/AWS/Python Snr Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Equities trading Algo and Data Analytics DevOps team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives decisions that influence the product design, application functionality, and technical operations and processesServes as a function-wide subject matter expert in one or more areas of focusActively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life CycleInfluences peers and project decision-makers to consider the use and application of leading-edge technologiesAdds to the team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and proficient advanced experience in Unix knowledge / CICD experience / Terraform knowledgeQ and KDB knowledge preferableExperience and running low latency and high performance computing platformAdvanced in one or more programming language(s)Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Ability to tackle design and functionality problems independently with little to no oversightPractical cloud native experienceExperience in Computer Science, Computer Engineering, Mathematics, or a related technical field 
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