Lead Software Engineer - Cloud DevOps & AI

Next Frontier Capital; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to design and deploy scalable CI/CD pipelines, IaC frameworks, and container strategies. You will lead cloud infrastructure across AWS, drive AI/ML within DevOps, and guide a team of software and DevOps engineers in modern automation.

Collaborating with product and operations, you will push the adoption of intelligent agents, automate incident response, and advance observability using Prometheus, Grafana, and ELK stacks.

Qualifications

• Extensive experience automating IaC development with modern tooling and AI/ML.
• Strong command of observability tools and automation using AI/ML.
• Proficient in Python, Java, or similar languages; ML framework familiarity.

Responsibilities

• Design and implement CI/CD pipelines, IaC frameworks, and container orchestration strategies.
• Lead architecture, deployment, and management of cloud infrastructure in AWS with best practices.
• Drive AI/ML capabilities within DevOps workflows for monitoring and remediation.
• Lead integration of intelligent agents for workflow automation and decision making.
• Develop AI-powered observability to monitor health, automate alerts and RCAs.
• Collaborate with engineering, product, and operations to identify automation opportunities.
• Stay informed on emerging AI/ML technologies and evaluate new tools and approaches.
• Provide hands-on technical guidance to the software and DevOps team.
• Conduct code reviews, architectural assessments, and design discussions.

Skills

CI/CD pipelines

IaC

AI-driven automation

Observability

Automation

Agent-based systems

Python/Java

ML frameworks

Cloud platforms

Tools

Terraform

Ansible

CloudFormation

Docker

Kubernetes

Spinnaker

Prometheus

Grafana

ELK

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking organization, we have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job Responsibilities:

• Design and implement CI/CD pipelines, infrastructure-as-code (IaC) frameworks, and container orchestration strategies leveraging tools such as Kubernetes, Docker, Terraform, and Spinnaker, while utilizing AI-driven automation to streamline deployment and management across cloud and on-premises environments.
• Lead the architecture, deployment, and management of cloud infrastructure in AWS, establishing and enforcing best practices for reliability, scalability, security, and cost optimization across all cloud environments.
• Drive the adoption of AI and machine learning capabilities within DevOps workflows, including intelligent monitoring, predictive analytics, and automated remediation, while evaluating and integrating AI-powered tools to continuously improve development velocity, system reliability, and operational efficiency.
• Lead the integration of intelligent agents for workflow automation, decision-making, and process optimization.
• Develop AI-powered observability solutions to monitor, analyze, and proactively manage application and infrastructure health, automating alerting, root cause analysis, and incident response using advanced ML techniques.
• Work closely with cross-functional teams including engineering, product, and operations to identify automation opportunities and deliver impactful solutions.
• Stay abreast of emerging AI/ML technologies, frameworks, and industry trends, driving continuous improvement by evaluating and implementing new tools, methodologies, and approaches.
• Provide hands-on technical guidance to a team of software and DevOps engineers, fostering a culture of innovation, accountability, and continuous learning.
• Conduct code reviews, architectural assessments, and design discussions to uphold engineering excellence.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years in AI/ML engineering, with proven expertise in agent-based systems and automation.
• Strong experience in automating IAC development (e.g., Terraform, Ansible, CloudFormation) using AI/ML.
• Deep understanding of observability tools (e.g., Prometheus, Grafana, ELK stack) and automation using AI/ML.
• Proficiency in Python, Java, or similar programming languages; experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent problem-solving, communication, and collaboration skills.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.