Fde System Engineer

Tata Consultancy Services

Tampa (FL)

In loco

USD 120.000 - 125.000

Tempo pieno

4 giorni fa

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Vantaggi offerti da questo lavoro

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support: Parental Leaves

Insurance Options: Auto & Home

Descrizione del lavoro

Tata Consultancy Services in Tampa, FL is seeking a highly skilled Systems Engineer to architect and deploy containerized infrastructure with Kubernetes, driving robust deployment pipelines and GitOps practices with ArgoCD/Flux.

The candidate should have 6+ years in systems engineering or platform engineering, strong Kubernetes, cloud experience (AWS/GCP/Azure), IaC (Terraform/Pulumi/Ansible), and scripting (Python/Go/Bash), collaborating with software, DevOps and security teams.

Competenze

6+ years in systems engineering, DevOps, or platform engineering with containerized environments.
Kubernetes mastery including cluster scaling, RBAC, CNI, CSI.
Deployment tooling with Helm and GitOps (ArgoCD/Flux).
Cloud experience with AWS, GCP, or Azure and managed Kubernetes services.
Scripting in Python/Go/Bash for automation.
Linux administration, TCP/IP, DNS, and load balancing.

Mansioni

Lead architecture, design, and execution of deployment strategies for containerized apps.
Partner with software engineering, DevOps, and security teams to ensure HA and scalable infra.
Design deployment topologies, champion GitOps, and solve distributed system challenges.
Develop and optimize deployment pipelines and containerization practices.

Conoscenze

Kubernetes mastery

Deployment tooling

Cloud proficiency

Scripting & automation

OS & networking

6+ years experience

Formazione

Bachelor's in Computer Science / IT / Engineering

Strumenti

Helm

ArgoCD

Flux

Terraform

Pulumi

Ansible

Descrizione del lavoro

Must Have Technical/Functional Skills

Experience: 6+ years of experience in Systems Engineering, DevOps, or Platform Engineering, with at least 2 years in a heavily containerized environment.

Kubernetes Mastery: Deep, hands-on experience managing production Kubernetes environments, including cluster scaling, RBAC, network plugins (CNI), and storage (CSI).

Deployment Tooling: Proven track record of designing complex deployments using Helm and GitOps controllers (ArgoCD/Flux).

Cloud Proficiency: Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their managed Kubernetes offerings.

Scripting & Automation: Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automation and tooling.

OS & Networking: Strong grasp of Linux system administration, TCP/IP networking, DNS, and load balancing principles.

Roles & Responsibilities

We are seeking a highly skilled Systems Engineer to lead the architecture, design, and execution of our application deployment strategies. In this role, you will be the cornerstone of our containerized infrastructure, primarily focusing on Kubernetes. You will partner closely with software engineering, DevOps, and security teams to design robust deployment pipelines, ensure maximum high availability, and build scalable infrastructure that supports our core products. The ideal candidate does not just maintain systems; they actively design deployment topologies, champion GitOps methodologies, and solve complex distributed system challenges.

Key Responsibilities

Application Deployment Architecture

Design Deployment Strategies: Architect and implement scalable, secure, and highly available deployment topologies for microservices and monolithic applications.

Pipeline Engineering: Build and maintain advanced CI/CD pipelines incorporating blue-green, canary, and rolling deployment strategies.

GitOps Implementation: Drive GitOps practices using tools like ArgoCD or Flux to ensure infrastructure and deployment states are version-controlled and automated.

Containerization Optimization: Guide development teams on Dockerfile best practices, multi-stage builds, and container image security/slimming.

Kubernetes Ecosystem Management

Cluster Lifecycle: Provision, upgrade, and manage production-grade Kubernetes clusters (e.g., EKS, GKE, AKS, or bare metal).

K8s Configuration: Develop and maintain Helm charts, Kustomize manifests, and custom resource definitions (CRDs) for complex application requirements.

Traffic & Networking: Architect ingress controllers, service meshes (e.g., Istio, Linkerd), and network policies to ensure secure and efficient internal and external traffic routing.

Storage & Stateful Loads: Design and manage persistent volumes and stateful sets for applications requiring durable storage.

Infrastructure & Reliability

Infrastructure as Code (IaC): Automate the provisioning of underlying cloud resources using Terraform, Pulumi, or Ansible.

Observability: Implement comprehensive monitoring, logging, and tracing solutions (e.g., Promethe us, Grafana, ELK stack, Datadog, OpenTelemetry) to track deployment health and application performance.

Incident Response: Serve as an escalation point for complex deployment failures or cluster degradation, participating in on-call rotations and blameless post-mortems.

Educational & Certification Requirements

Certifications: Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).