Lead Software Engineer - Data Ops

Career Area: Technology, Digital and Data

Job Summary

We are seeking a skilled Lead Software Engineer - Data Ops to MANUF SUPPLY DIG PLAT(INDIA) -CAT IT Division.

The preference for this role is to be based out of Bangalore PSN Office, KA -India

What you will do

The Lead Software Engineer -would lead the design, architecture, and scaling of secure, enterprise-grade AWS cloud platforms for digital and AI/ML workloads. This role owns CI/CD platform strategy, Infrastructure as Code, cloud reliability, DevSecOps governance, and enterprise standardization, working closely with application, data, and ML engineering teams to enable consistent and scalable delivery.

• Owns architecture and implementation of enterprise DevOps and cloud platforms across programs.
• Drives standardization, scalability, and reuse of platform capabilities.
• Influences DevOps and MLOps practices across multiple teams and domains.

• Mentors engineers and elevates engineering quality and platform maturity.

• CI/CD Source Control : Architect, build, and scale enterprise CI/CD platforms using GitHub and GitHub Actions. Define reusable workflows, templates, and standardized deployment patterns. Enable self-service pipelines, automated environment promotion, and compliance enforcement across teams.
• AWS Cloud, DevOps MLOps Enablement : Lead engineering of AWS-based platforms supporting application and ML workloads. Advanced use of AWS services including SageMaker, ECS/EKS, CodePipeline, IAM, and S3. Own MLOps lifecycle including model deployment, automation, monitoring, and governance.
• Infrastructure as Code (IaC) : Define and implement enterprise IaC strategy using AWS CloudFormation. Build reusable, modular, and auditable infrastructure patterns. Standardize AWS role provisioning, environment setup, and compliance-aligned configurations.
• DevSecOps, Quality Governance : Establish and enforce DevSecOps controls across CI/CD ecosystems. Integrate SonarQube and security tools for automated quality checks and policy compliance. Drive enterprise adherence to tagging, security standards, and remediation SLAs.
• Artifact Supply Chain Management : Govern artifact lifecycle using JFrog Artifactory. Ensure traceability, version control, and secure software supply chain practices across environments.
• Operations Reliability : Define and implement monitoring, alerting, and observability frameworks. Lead SRE practices including SLIs/SLOs, incident management, and resilience engineering. Drive platform reliability, scalability, and disaster recovery strategies.

What you will have

• Deep AWS expertise with DevOps and MLOps services (SageMaker, ECS/EKS, CodePipeline, IAM, S3).
• Strong proficiency in GitHub and GitHub Actions (enterprise-scale CI/CD).
• Advanced experience with AWS CloudFormation.
• Strong programming skills in Python and/or Go for automation.
• Experience with JFrog Artifactory and SonarQube.
• Proven experience designing and scaling DevOps/MLOps platforms.
• This position requires candidate to work a 5-day-a-week schedule in the Office.

Complementary /Future-Ready Skills

• AWS Firewall and networking expertise from an architectural perspective.
• Experience in security and governance for AI platforms, including NVIDIA-based environments.
• Exposure to Azure cloud services for multi-cloud strategy

Skills desired:

Decision Making and Critical Thinking : Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Working Knowledge: Applies an assigned technique for critical thinking in a decision-making process. Identifies, obtains, and organizes relevant data and ideas. Participates in documenting data, ideas, players, stakeholders, and processes. Recognizes, clarifies, and prioritizes concerns. Assists in assessing risks, benefits and consideration of alternatives.

Effective Communications : Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Working Knowledge: Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own communication effectiveness. M…