Devops Engineer - Fulltime only

Senior Devops Engineer - Onsite at Cranbury, NJ

Full Time Position

Onsite at Cranbury, NJ

Experience: 10–12 years of hands-on experience in DevOps, Platform Engineering, or SRE roles

About NAM

NAM Info is a leading IT application and product engineering services organization headquartered in Cranbury, New Jersey, Our service offerings span Professional Services, Managed Services, and modernization and re-engineering initiatives, with a strong focus on cloud, data, and emerging technologies.

NAM is also the creator of a next-generation Data Intelligence Platform that enables enterprises to automate and accelerate their journey from data to insights. The platform unifies data engineering, governance, analytics, and large-scale processing, delivering end-to-end data intelligence at enterprise scale.

As we expand our data products and cloud data platforms, we are seeking an experienced Senior Data Engineer to architect, build, and optimize the data foundations that power both our internal products and client solutions.

About the Role – Senior DevOps Engineer (Multi-Cloud | Product & Platform Focus)

As a Senior DevOps Engineer, you will play a critical role in building, scaling, and operating cloud-native platforms and products used by enterprise customers and internal SaaS offerings. You will be responsible for designing robust CI/CD pipelines, implementing Infrastructure as Code, and operating always-on, production-grade multi-cloud environments.

This role is ideal for engineers who have worked in Product Companies or Product Engineering teams, where platform reliability, scalability, automation, and rapid iteration are core to success. You will work closely with product, data engineering, SRE, and security teams to deliver highly available, secure, and performant cloud and data platforms.

Key Responsibilities

CI/CD & Platform Engineering

• Architect and maintain enterprise-scale CI/CD pipelines for cloud products and data platforms

• Enable frequent, reliable releases using blue/green, canary, and zero-downtime deployment strategies

• Work with:

o AWS: Code Pipeline, Code Build, Code Deploy

o Azure: Azure DevOps, GitHub Actions

o GCP: Cloud Build, Cloud Deploy

Infrastructure Automation & Multi-Cloud Provisioning

• Design reusable, modular Infrastructure as Code using Terraform, ARM/Bicep, CloudFormation, and Ansible

• Build cloud-agnostic platform components to support product portability and scale

• Implement high availability, auto-scaling, backup, and disaster recovery strategies suitable for SaaS and product platforms

Cloud & Data Production Operations

• Own and operate 24×7 production environments supporting customer-facing products

• Partner with data and platform engineering teams to operationalize:

o Distributed compute (Spark, Databricks, managed services)

o Batch and streaming ETL/ELT pipelines

o Open table formats such as Iceberg, Delta Lake, or Hudi

• Manage modern Data Lakes and Lakehouse’s across:

o AWS: S3, EMR, Glue, Redshift, Athena

o Azure: ADLS Gen2, Synapse, Databricks, Data Factory

o GCP: GCS, Big Query, Dataproc, Dataflow

• Drive reliability through SLIs, SLOs, and production readiness reviews

Containerization, Kubernetes & Platform Reliability

• Containerize microservices and platform components using Docker

• Deploy and operate Kubernetes platforms:

o EKS, AKS, GKE

• Manage Helm charts, Kubernetes manifests, and GitOps workflows

• Implement observability, alerting, and incident response using Prometheus, Grafana, Open Telemetry, and cloud-native tools

DevSecOps & Continuous Improvement

• Embed security-by-design practices (IAM, secrets management, vulnerability scanning, policy enforcement)

• Lead post-incident reviews and root cause analysis for production issues

• Mentor junior engineers and influence DevOps standards and best practices

• Continuously evaluate tools and processes to improve developer productivity and platform resilience

Required Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline

• 10–12 years of hands-on experience in DevOps, Platform Engineering, or SRE roles

• Proven experience working in Product Companies or Product Engineering environments

• Strong hands-on expertise across multi-cloud platforms — AWS, Microsoft Azure, and Google Cloud Platform (GCP)

• Deep experience designing and implementing cloud-agnostic Infrastructure as Code (IaC) using Terraform(mandatory), with exposure to ARM/Bicep, CloudFormation, and Ansible

• Strong experience with Docker and Kubernetes across EKS, AKS, and GKE

• Advanced understanding of CI/CD pipelines, release automation, and Git-based workflows

• Experience operating high-availability, customer-facing production systems with real SLAs/SLOs

• Strong scripting and automation skills using Python, Bash/Shell, or similar languages

• Solid understanding of Data Lake and Lakehouse architectures, including Medallion Architecture (Bronze–Silver–Gold)

• Hands-on or working knowledge of distributed data platforms such as Apache Spark, Databricks, AWS Glue, and open table formats like Iceberg, Delta Lake, or Hudi

• Strong experience with monitoring, observability, and incident management, including root cause analysis

• Excellent problem-solving, communication, and stakeholder management skills, with the ability to work closely with product, engineering, and leadership teams

Top 10 Skills (Must-Have)

1. Multi-Cloud DevOps Expertise (AWS, Azure, GCP)

2. Terraform & Infrastructure as Code (IaC)

3. Kubernetes & Container Orchestration (EKS / AKS / GKE)

4. CI/CD Pipeline Architecture & Automation

5. Production Operations & Reliability Engineering (SRE mindset)

6. Docker & Cloud-Native Application Packaging

7. Data Platform Operations (Data Lakes & Lakehouses)

8. Observability, Monitoring & Incident Management

9. DevSecOps & Cloud Security Best Practices

10. Product Engineering Mindset & Platform Ownership

Why Join NAM Info

• Work on a Spark-centric, enterprise-scale Data Intelligence Platform

• Solve complex performance, scalability, and optimization challenges

• Influence architecture and engineering standards across products

• Collaborate with senior architects, engineers, and analytics leaders

• Continuous exposure to modern data technologies and cloud platforms

A culture that values technical excellence, ownership, and continuous learning