DevSecOps Engineer
Job in
Newark, Essex County, New Jersey, 07175, USA
Listed on 2026-01-12
Listing for:
Contech Systems
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Cloud Computing, Data Engineer, Systems Engineer, SRE/Site Reliability
Job Description & How to Apply Below
Job Requirement - Dev Ops Engineer
Title: Dev Ops Engineer
Location: Hybrid (Newark) - 2 times per week.
Type: Contract-to-Hire
OverviewWe are seeking a Dev Ops Engineer to support enterprise‑wide CI/CD pipeline adoption and infrastructure automation. This role will focus on building, onboarding, and maintaining shared frameworks and deployment processes across multiple teams and environments (AWS, Databricks, Snowflake, Kubernetes). The engineer will work under senior architects and play a key role in scaling Dev Ops best practices across the organization.
Key Responsibilities- Design, build, and maintain CI/CD pipelines (Jenkins, Git).
- Onboard application teams onto enterprise‑wide CI/CD pipelines.
- Develop and maintain shared frameworks and libraries to support scalable deployments.
- Implement Infrastructure as Code (IaC) using Terraform, Ansible, Helm, and Cloud Formation.
- Support deployment processes for Databricks and/or Snowflake applications (not as a data engineer, but ensuring pipeline‑driven deployments).
- Configure and manage Kubernetes deployments using Helm charts.
- Ensure secure, automated provisioning and configuration in AWS
. - Support event‑driven processes with familiarity in Kafka and related architectures.
- Collaborate with senior developers and architects to expand adoption of Dev Ops practices across the enterprise.
- 3‑5 years of experience in Dev Ops engineering or related roles.
- Strong experience with CI/CD tools
:
Jenkins, Git. - Proficiency in scripting/programming languages
:
Python, Java, Groovy. - Hands‑on experience with Infrastructure as Code
:
Terraform, Ansible, Helm, Cloud Formation. - Familiarity with AWS cloud services
. - Experience with Kubernetes deployments.
- Exposure to event‑driven architectures and Kafka
. - Experience supporting deployment pipelines for data platforms such as Databricks or Snowflake (one is sufficient).
- Experience managing and scaling shared libraries/frameworks across multiple teams.
- Prior work in event‑driven enterprise ecosystems
. - Ability to contribute to Dev Sec Ops practices.
- A mid‑level engineer (3‑5 years) who can work independently but also grow under senior architect supervision.
- Strong problem‑solver with the ability to scale processes across multiple teams.
- Not necessarily a "career architect" but skilled in automation and framework building.
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