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1 Week ago

Software Engineer III

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Bangalore, Karnataka, India
Space Exploration & Research, Information Technology
Full-Time
hackajob

Overview

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role.

Job Description

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

As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking, you serve as an integral part of a technology team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a technical contributor , you are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

Designing, build and maintain scalable, secure, and reliable cloud infrastructure and platforms using AWS Services

Working closely with development teams, architects, and other stakeholders to understand requirements and deliver solutions that meet business needs.

Develop automation tools for efficient, noiseless alerting, toil, and technical debt.

Analyzing and optimizing the performance of the platform to ensure resiliency, high availability, and responsiveness.

Ensuring that the platform is secure by implementing best practices and security measures, such as access controls, encryption, and vulnerability assessments.

Troubleshoot minor/major incidents and contribute to resolution through post-mortems.

Required Qualifications, Capabilities, And Skills

Formal training or certification on software engineering concepts and 3+ years applied experience

Committed to continuous learning and improvement. Identify opportunities for improvement, explore new ideas, and methodologies that enhances our systems.

Proficient in AWS and Kubernetes

Experience with infrastructure as code (IaC) using tools like Terraform or AWS CloudFormation

Hands-on experience with cloud deployment, monitoring, and ops analysis tools such as Splunk, Dynatrace.

Proficient in at least one software language (e.g. Python/GO)

Expertise in application, data and infrastructure architecture disciplines

Knowledge of AWS security best practices, including identity and access management, encryption, and network security.

Understanding of AWS AI and machine learning services like SageMaker, Rekognition,

Understanding of machine learning algorithms and frameworks such as TensorFlow, PyTorch

Preferred Qualifications, Capabilities, And Skills

Exposure to cloud technologies

Exposure to Infrastructure As Code (IAC) Tools

Exposure to scripting Languages

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