Senior Systems Developer

Islamabad, Pakistan | Posted on 05/20/2025

DPL is one of the leading software development and IT companies around the world. Established in 2003, DPL serves customers in all major regions emphasizing most on Europe, Middle East and Americas. The company is based in Islamabad, Pakistan with its regional offices located in USA and Sweden.

DPL is the pioneer in Agile practices and innovation culture in Pakistan. The company has been recognized globally in various magazines and rankings for its unparalleled workplace environment. The flat culture and holacratic approach encourage employees to work devotedly and stimulate innovations in the process.

Clients from a wide range of industries including, but not limited to Healthcare, Fintech, Automotive, Mobility, Telco, Education, Media and E-commerce make a highly diverse portfolio at DPL. The services primarily include Digital Transformation, Product Engineering, IT Strategy & Consulting, and Custom Software Development.

We're seeking a Senior Systems Developer / CloudOps Engineer to architect, implement, and manage the AWS infrastructure supporting our data-driven operations. You'll own our cloud systems, ensuring they are scalable, secure, resilient, and optimized for both performance and cost efficiency.

This role is more than maintaining infrastructure; it's enabling DigiBank's ambitious mission through flawless technology execution.

Key Responsibilities

• Architect and Maintain Cloud Infrastructure Design, deploy, and manage cloud infrastructure on AWS, including networking, IAM, compute resources, containerization, databases, and storage solutions, ensuring high availability and fault tolerance.

• Implement and Optimize CI/CD Pipelines Establish and refine continuous integration and deployment processes to facilitate rapid, reliable software and model deployments using services like CodePipeline, GitHub Actions, ECS, ECR, and SageMaker.

• Automation and Infrastructure-as-Code Use infrastructure-as-code tools (Pulumi or Terraform) extensively to create reproducible, version-controlled environments. Automate operational tasks, monitoring, and self-healing mechanisms.

• Security, Auditing & Compliance Ensure infrastructure adheres to best practices for security, encryption (KMS), access control, and compliance. Implement comprehensive logging, monitoring (CloudWatch, CloudTrail), auditing, and alerting frameworks.

• Support High-Performance Data Workloads Collaborate closely with data engineering and machine learning teams to ensure infrastructure and services (Glue, Lambda, Athena, Step Functions, SageMaker) perform optimally, are cost-effective, and scale efficiently.

• Disaster Recovery and Business Continuity Develop robust backup, disaster recovery, and business continuity plans, regularly testing failover mechanisms and data recovery scenarios.

• Collaborate Across Teams Work effectively with engineering, analytics, and credit risk teams to understand operational challenges, translating them into resilient cloud solutions.

Required Skills & Experience

· Strong ownership mindset (end-to-end accountability)

· Passionate about continuous learning and improvement

· 5+ years in cloud operations, DevOps, or infrastructure engineering roles

· Deep expertise with AWS: Networking (VPC, VPN), Compute (EC2, ECS, Lambda), Storage (S3, EBS), Security (IAM, KMS), Monitoring (CloudWatch, CloudTrail)

· Strong skills in infrastructure-as-code (Pulumi preferred, Terraform acceptable)

· Proficiency in Python, Bash scripting, and automation tools

· Experience in CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins)

· Solid understanding of container orchestration (Docker, ECS, Kubernetes)

· Demonstrated knowledge of secure cloud architectures and data anonymization best practices

Nice to Have

· Experience with event-driven architectures (Kafka, EventBridge)

· Familiarity with AWS SageMaker, including Feature Store and Pipelines

· Previous experience in fintech, financial services, or mobile money ecosystems

· Interest in ethical AI, responsible data practices, and financial inclusion