Job Description

General information

Country
India
State
Karnataka
City
Bengaluru
Job ID
46959
Department
Development

Description & Requirements

SUMMARY:

We are seeking highly motivated and detail-oriented Cloud Architect, with 15+ years of experience developing scalable products as well as experience working on enhancements and ongoing maintenance work. Here is an opportunity to be part of developing new products for the next generation of business applications in the Cloud.

EDUCATION & EXPERIENCE:

Masters of Science in Computer Science or equivalent

15+ years of experience developing scalable products as well as experience working on enhancement and ongoing feature and maintenance work.

RESPONSIBILITIES:

Design, create, and monitor

daily software build and deployment pipelines

ensuring reliability and consistency.

Collaborate with developers, data scientists, and cross-functional teams to ensure

high-quality software and AI-enabled solutions

are delivered on time.

Drive

continuous integration, continuous delivery, and continuous deployment (CI/CD)

across cloud environments.

Define and set

DevOps and MLOps processes

for development, testing, release, and production support.

Enhance and extend

CI/CD automation

to improve deployment speed, reliability, and scalability for both traditional and AI-driven applications.

Lead the

integration of AI and ML models

into existing systems, ensuring seamless deployment, monitoring, and version control.

Work with data teams to

operationalize machine learning models

using AWS SageMaker, Bedrock, or containerized inference services.

Design and implement

AI-powered automation

for performance optimization, anomaly detection, and predictive maintenance.

Provide

AI-driven solutions

to existing business processes to improve decision-making, efficiency, and customer experience.

Mentor and guide other development team members on

AI integration best practices

within DevOps workflows.

Conduct

technical reviews and architecture assessments

, ensuring adherence to SDLC, security, and AI governance standards.

Ensure that

unit, integration, and system tests

(including AI model validation) are automated per QA requirements.

Design

automation architecture for cloud delivery

in AWS, integrating AI and data pipelines where applicable.

Implement

cybersecurity measures

and continuously perform vulnerability assessments for cloud and AI workloads.

Monitor and optimize

system performance, model inference speed, and scalability

to meet business and technical goals.

Continuously evaluate

new AI tools, frameworks, and cloud services

for innovation opportunities.

Stay current with emerging

AI/ML technologies and DevOps trends

to recommend improvements.

Open to taking on additional projects and responsibilities, especially those involving

digital transformation and AI innovation

.

REQUIRED SKILLS:

Proficient in

Maven, Jenkins, SVN, and Git

for build automation and version control.

Strong experience in

AWS Cloud platform

, including CloudFormation and serverless architecture concepts.

Expertise in

Infrastructure as Code (IaC)

using

Terraform, AWS CDK, and CloudFormation

.

Experience working with

4-tier architectures

in cloud-based deployments.

Familiarity with

software packaging tools

(.exe, .deb, .rpm, Docker).

Experience with

relational databases

such as MS SQL and Aurora PostgreSQL.

Strong

Linux and Windows administration

skills, with hands-on system configuration and automation experience.

Skilled in

CI/CD pipelines

using GitLab and Jenkins with automated test and deployment workflows.

Proficiency in

scripting languages

(Bash, PowerShell, Python) for automation and AI integration tasks.

Solid understanding of

Docker

construction, deployment, execution, and maintenance.

Experience with

containerization and orchestration

(ECS, Fargate, Kubernetes).

Familiarity with

AI/ML cloud services

such as AWS SageMaker, Bedrock, or Lambda for model deployment and scaling.

Experience implementing

MLOps pipelines

for model training, testing, deployment, and monitoring.

Knowledge of

data pipelines, APIs, and microservices

used for AI-driven solutions.

Expertise in

AWS CloudWatch

and related monitoring services, including AI model and data pipeline observability.

Strong

infrastructure management

experience (networks, servers, operating systems, databases).

Excellent

communication and collaboration skills

, with experience working in agile, fast-paced, and result-oriented environments.

PREFERRED SKILLS:

Flexibility to assist across functions (e.g., QA, Operations, Data Science).

AWS DevOps Engineer Professional Certification

or equivalent.

Experience with

monitoring and logging tools

(CloudWatch, Grafana, Prometheus, SumoLogic).

Familiarity with

AI observability tools

(SageMaker Model Monitor, MLflow, or Vertex AI Model Monitoring).

Understanding of

machine learning lifecycle management (MLOps)

and model retraining strategies.

Experience deploying

AI APIs or inference services

using Docker, Lambda, or ECS.

Knowledge of

cloud cost optimization

and

GPU resource management

for AI workloads.

Excellent

documentation, presentation, and mentoring

skills for AI and DevOps architecture.

About Infor

Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn't just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you're not just building a career. you're helping to build what's next.

Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.

For more information visit www.infor.com

Our Values

At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management(TM) (PBM(TM)) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization.

We have a relentless commitment to a culture based on PBM(TM). Informed by the principles that allow a free and open society to flourish, PBM(TM) prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees.

Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section.

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