Position Summary As a Senior Consultant at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines, and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.
Key Responsibilities: - Lead scrum teams for Epics/Features; provide technical design and develop stories per sprint. - Lead estimation for Epics/Features; support project plan/timeline, upsell/cross-sell via estimations. - End-to-end ownership of functional modules; lead story grooming/solutioning with onshore/client teams. - Ensure quality with unit/peer review; conduct RCA on defects and provide timely fixes. - Lead code reviews; ensure team adherence to standards; guide on customization vs configuration. - Lead demos to clients; prepare status/QRM reports; present risks/issues in project meetings. - Prepare process flows, release notes, pipeline management; leverage Delivery Excellence/automation assets. - Prepare Gantt charts, RACII/dependency matrix; maintain project leverage with Manager. - Prepare engagement review documentation; support upsell/cross-sell in account/project. - Architect, lead, and optimize Agentforce/GenAI integrations; drive adoption of GenAI/Agentic solutions. - Lead technical solutioning, code reviews, and customization/configuration decisions for Agentic solutions. - Drive innovation in GenAI/Agentforce use cases; ensure best practices in AI/ML integration with Salesforce.
Qualifications: Must Have: - 7+ years of hands-on experience in DevOps engineering with a strong focus on Google Cloud Platform (GCP) - Proven expertise in designing, implementing, and managing CI/CD pipelines using Cloud Build, Jenkins, GitLab CI, or Tekton on GCP - Strong hands-on experience with infrastructure-as-code using Terraform and/or Deployment Manager for provisioning and managing GCP resources - Proficiency in containerization and orchestration technologies including Docker, Kubernetes (GKE), and Helm - Hands-on experience with GCP core services: Compute Engine, Cloud Run, GKE, Cloud Storage, Cloud SQL, Pub/Sub, VPC, IAM, and Secret Manager - Experience with monitoring, logging, and observability tools including Cloud Monitoring, Cloud Logging, and Prometheus/Grafana - Strong scripting skills in Python, Bash, or Go for automation of operational and deployment tasks - Experience with GitOps practices and tools such as ArgoCD or Flux - Ability to drive end-to-end DevOps transformation for large-scale cloud projects across multiple client environments - Collaborate with cross-functional teams including developers, architects, and security engineers to ensure seamless delivery pipelines - Participate in pre-sales, proposals, and client engagement activities as needed
Good to Have: - Experience with multi-cloud or hybrid cloud DevOps setups (GCP + AWS or Azure) - Familiarity with GCP Anthos for hybrid/multi-cloud Kubernetes management - Knowledge of SRE (Site Reliability Engineering) principles and practices - GCP Professional DevOps Engineer or Google Cloud Associate Cloud Engineer certification preferred - Experience with security scanning tools such as SonarQube, Snyk, or Artifact Registry vulnerability scanning