Software Engineer III - SRE, AWS, Python, Golang

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - SRE, AWS, Python, Golang at JPMorgan Chase within the Commercial & Investment Bank - FICC (Fixed Income, Currencies, and Commodities) eTrading and Analytics platforms Team, you will play a crucial role in an agile team dedicated to creating and deploying innovative technology products that emphasize security, stability, and scalability. Your responsibilities will include developing vital technology solutions across various technical areas to support the firm's strategic goals. You will be involved in designing and implementing cloud-based, multi-region engineering solutions to improve global eTrading and data analytics platforms.

Job responsibilities

• Contribute to the design and implementation of AWS large-scale distributed systems capturing billions of real-time messages daily and computing eTrading analytics and signals.
• Automate provisioning of AWS multi-region network, compute and storage services that non-disruptively support eTrading activities 24x7.
• Enforce quantitative driven approach to proactively monitor performance, capacity, latency and cost of AWS-hosted solutions during routine and extra-volatile market events.
• Provide cross-functional leadership in building microservice-driven API to tech teams producing and consuming, on-prem or cloud-natively, the AWS-stored data.
• Pilot emerging technologies that help quants, traders and sales explore petabytes of stored data.

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience in design, deployment and performance optimization of large Kubernetes clusters using AWS EKS, including networking load balancing, ingress controllers, node group management and workload orchestration.
• Experience in optimizing FSx for Lustre and EBS performance for latency-sensitive applications and managing storage costs.
• Strong problem-solving skills with the ability to troubleshoot complex distributed systems with relentless focus on resiliency improvement.
• Kubernetes Application Developer (CKAD) certification
• Experience in scripting languages like Bash, Python, or Go for automation of CI/CD and SRE tasks.

• Proficiency in infrastructure as code tools like Terraform.
• Experience with vector or timeseries databases such as KDB.
• Familiarity with building Datadog/Dynatrace/Geneos real-time dashboards
• Experience with managing SageMaker workflows.