Software Engineer III – DevOps & AWS

Overview

As a Software Engineer III in DevOps/AWS within Payments Technology, you design and deliver scalable, secure software for a leading financial services firm. You work on cross-functional teams to build trusted technology products and improve operational stability. You will leverage AI-assisted engineering practices to enhance code quality and delivery while shaping architecture with external and internal partners. This role offers opportunities to influence production systems at scale and contribute to a secure, high-performance payments platform.

Responsibilities

• Design and deliver secure, production-grade software solutions and troubleshoot complex issues
• Develop high-quality code, perform code reviews, and ensure reliability and performance
• Promote enterprise AI-assisted engineering practices to improve quality and speed, with secure coding and automated testing
• Apply SDLC tooling to maximize automation and disruption-free delivery
• Identify recurring issues and drive root-cause analysis and automation to improve stability
• Lead architecture evaluation with vendors and internal teams for compatibility with existing systems
• Build scalable data pipelines on Databricks using Spark/Delta and Databricks workflows
• Provide technical support during development and resolve environment-specific issues
• Monitor and troubleshoot systems using Splunk and observability platforms (Datadog, Dynatrace, Grafana)
• Maintain asset inventory and support cost rationalization efforts with architects
• Utilize engineering tools (Git/Bitbucket, Jira, ServiceNow, pre-commit hooks) and code in Python/Java
• Apply enterprise AI coding assistant tools for code quality and speed, with peer review and secure coding practices

Key requirements

• Formal training or certification in software engineering concepts with applied experience
• Strong CI/CD and release management experience (Jules, Jenkins, Spinnaker)
• Hands-on DevOps with Kubernetes and Docker, including deployment automation
• Deep AWS platform experience (EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, CodeDeploy)
• Infrastructure provisioning with Terraform; configuring AWS RDS and Aurora via Terraform
• Linux administration and high-availability production, CERT, and testing environments
• PostgreSQL (RDS/Aurora) and MongoDB; automation scripts in Python and Bash
• Databricks (Spark, Delta, notebooks, workflows), GraphQL familiarity
• Technical support during development and debugging across environments
• Experience with monitoring/observability tools (Splunk, Datadog, Dynatrace, Grafana)
• Proficiency with Git/Bitbucket, Jira, ServiceNow, and pre-commit hooks
• Strong Python and Java programming, including distributed data processing
• AI-assisted coding tools usage and creating reusable patterns for the team

• Effective communication with stakeholders and senior leadership
• Cross-functional collaboration and teamwork
• Problem-solving mindset and proactive improvement
• AWS services: EC2, ECS, EKS, ELB, S3, Lambda, API Gateway, Glue, EMR, ElastiCache, CloudWatch, CodeDeploy
• Kubernetes & Docker
• Terraform for infrastructure as code (RDS/Aurora)

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