Client: Security Services
Job Description:
Overview
As a DevOps Engineer in the Platform DevOps organization, you will
design, develop, implement, test, and maintain the platforms and
services that support SAP Analytics Cloud (SAC). You will combine
software engineering, automation, and operations to deliver secure,
scalable, and high-performing cloud-native solutions. This role focuses
on CI/CD, container orchestration, infrastructure-as-code, and
operational excellence to ensure the reliability and efficiency of
SAC-related services and integrations used across client.
Responsibilities
- Design,
implement, and manage cloud-native platforms and services that support
SAC, using architectures such as microservices, containerization (e.g.,
Kubernetes, AWS EKS), and serverless.
- Build
and maintain CI/CD pipelines for SAC-related applications, services,
and integrations, enabling frequent, reliable, and secure deployments.
- Utilize
modern web and service development stacks to deliver scalable,
maintainable SAC extensions, integrations, and supporting services.
- Implement
and support modern data processing technologies (e.g., NoSQL stores,
data lakes) as needed for SAC data flows and analytics use cases.
- Apply agile software delivery practices and DevOps methodologies to improve release cadence, quality, and feedback loops.
- Use infrastructure-as-code (e.g., Terraform) to provision and manage cloud infrastructure supporting SAC environments.
- Automate configuration management and operational tasks using tools such as Ansible.
- Deploy and orchestrate services using Kubernetes and Helm charts to ensure consistent, repeatable deployments.
- Implement
secure configuration and secrets management using tools such as
HashiCorp Vault, ensuring compliance with client security standards.
- Monitor, troubleshoot, and optimize SAC-related platforms and services for performance, availability, and cost efficiency.
- Gather
and analyze technical and business requirements, document
specifications, and design solutions aligned with SAC architecture and
client guidelines.
- Develop
new automation, tooling, and services; enhance and refactor existing
solutions to improve reliability, scalability, and maintainability.
- Prepare detailed technical designs, implementation plans, and test plans; perform unit, integration, and regression testing.
- Create and support deployment/migration packages for system testing, user acceptance testing, and production releases.
- Perform
post-implementation validation, root-cause analysis, and defect
resolution for issues discovered in testing and production.
- Collaborate
closely with cross-functional teams (SAC product owners, data
engineers, security, cloud operations, and application teams) to deliver
end-to-end SAC solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related technical field.
- 5+
years of experience in DevOps, platform engineering, or software
engineering, preferably supporting analytics, SaaS, or cloud-native
platforms.
- Strong
competence with tools, procedures, and programming languages used in
system development, automation, and platform integration.
- Experience
supporting or integrating with enterprise analytics platforms; SAC
experience strongly preferred or experience with similar BI/analytics
solutions (e.g., Tableau, Power BI, SAP BW/4HANA).
- Solid
understanding of cloud technologies, especially AWS services (compute,
networking, storage, IAM) and container orchestration (Kubernetes, AWS
EKS).
Hands-on experience with:
- CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps, or similar)
- Infrastructure as Code (e.g., Terraform)
- Configuration management and automation (e.g., Ansible)
- Kubernetes packaging and deployment (e.g., Helm)
- Familiarity
with secrets management and security practices using tools such as
HashiCorp Vault, and with securing cloud-native workloads.
- Experience working in agile delivery environments and contributing to projects of moderate to high complexity.
- Strong foundation in computer science fundamentals, including data structures, algorithms, and software design principles.
- Demonstrated
experience in large systems/platform design and development, including
in-depth troubleshooting and optimization of both new and legacy
production systems.
- Ability
to work independently on assigned sub-projects while collaborating
effectively with cross-functional teams and stakeholders.
Skills
- Proven ability to deliver high-quality outcomes for complex platform and automation initiatives in a DevOps environment.
- Strong
problem-solving and analytical skills, with a focus on reliability,
performance, and continuous improvement of SAC-related services and
pipelines.
- Clear
written and verbal communication skills, able to explain technical
concepts to both technical and non-technical stakeholders.
- Collaborative mindset with experience working across development, security, cloud, data, and operations teams.
Regards,