Senior Software Engineer-Temenos

Skills

Role Overview

We are seeking a seasoned AWS CloudOps Architect to lead the design, implementation, and operational excellence of our cloud infrastructure. In this role, you will bridge the gap between high-level architecture and hands-on operational management. You will be responsible for ensuring that our cloud platforms are not only highly available and scalable but also cost-optimized and secure.

The ideal candidate possesses a deep understanding of the AWS Well-Architected Framework and brings a developer-centric mindset to operations, utilizing Java and Python to automate complex workflows and enhance system reliability.

Key Responsibilities

Architectural Leadership: Design and deploy scalable, highly available, and fault-tolerant systems on AWS, adhering to the Well-Architected Framework.

Operational Excellence: Lead monitoring, logging, and alerting strategies to ensure proactive system health management and rapid incident response.

Automation & IaC: Drive a "code-first" approach to infrastructure using Terraform or CloudFormation to automate resource provisioning and configuration.

CI/CD & DevOps: Collaborate with engineering teams to build and maintain robust CI/CD pipelines, streamlining the path from development to production.

Security & Compliance: Implement and manage IAM policies, network security (VPC, Security Groups), and compliance guardrails to protect sensitive data.

Cost Optimization: Conduct regular architectural reviews to identify cost-saving opportunities through rightsizing, reserved instances, and serverless transitions.

Collaboration: Act as a technical mentor to junior engineers and provide architectural guidance to application development teams.

Required Technical Skills

• Strong AWS CloudOps and Cloud Architecture experience
• Core AWS Services:
  • Compute & Containers: Extensive experience with EKS (Kubernetes), ECS, and Lambda (Serverless).
  • Messaging & Streaming: Hands-on expertise with SQS, SNS, and MSK (Managed Streaming for Kafka).
  • Databases & Storage: Deep knowledge of RDS, DynamoDB, and S3 lifecycle management.
• Programming: Strong proficiency in Java and Python for automation, custom tooling, and script development.
• Infrastructure as Code: Proven experience with Terraform or AWS CloudFormation.
• Networking: Deep understanding of AWS global infrastructure, including Regions, Availability Zones (AZs), Edge locations, Route 53, and CloudFront.
• Observability: Proficiency with tools such as AWS CloudWatch, CloudTrail, and third-party APM/logging solutions (e.g., ELK, Datadog, Prometheus).

Good to Have

AI/ML Integration: Exposure to AWS AI/ML services such as Amazon SageMaker, Bedrock, Rekognition, or Comprehend.

Advanced Networking: Experience with Transit Gateway, Direct Connect, and complex VPC peering architectures.

Disaster Recovery: Proven track record of designing and testing multi-region DR strategies.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field
• 8+ years IT experience with 5+ years on AWS
• Demonstrated experience in managing large-scale, production-grade Kubernetes environments (EKS).

Certifications (Optional)

AWS Certified CloudOps Engineer – Associate

AWS Solutions Architect – Associate

AWS DevOps Engineer – Associate