Senior Devops Engineer

Axelon

  • Rutherford, NJ
  • Today
  • $85–$90 Per Hour

Highlights

Minimum 12 years in software/infrastructure engineering, with at least 5 years in a senior DevOps, SRE, or platform engineering role. Own and evolve shared pipeline templates and consolidate legacy Jenkins/Harness pipelines onto the strategic declarative platform.

Numbers & Facts

LocationRutherford, NJ
Salary$85–$90 Per Hour

Description

Global Financial Firm located in Rutherford, NJ has an immediate contract opportunity for an experienced Senior Devops Engineer

Work Mode: Hybrid

Pay rate range: $ 85.00 - $ 90.00 Negotiable based upon years of experience

Responsibilities:

  • Support the engineering platform for ~20 product teams across CI/CD pipeline standards, container and Helm baselines, environment and release management, observability, and secure-by-default guardrails.
  • Write and design automation and set standards for team adoption.
  • Own and evolve shared pipeline templates and consolidate legacy Jenkins/Harness pipelines onto the strategic declarative platform.
  • Maintain Helm chart and values conventions and standardize probes, resource sizing, autoscaling, config/secret injection, and rollback procedures.
  • Manage promotion paths and zero-downtime release patterns on OpenShift/ECS and EKS.
  • Utilize Ansible for Airflow/VM estate and Terraform-style declarative provisioning.
  • Deliver reproducible developer environments and manage Artifactory repository policy.
  • Drive Renovate rollout and remediation of vulnerable or EOL dependencies across all 70 repositories.
  • Own AppDynamics, Prometheus/Grafana, and log aggregation standards across the platform.
  • Define SLOs, alerting rules, capacity, and cost visibility frameworks.
  • Lead production incident response, RCA, and permanent-fix follow-through for platform-level failures.
  • Externalize secrets from code into CyberArk/Vault and enforce SonarQube quality gates and secure-coding checks in pipeline.
  • Own image hardening, scanning, and audit evidence generation for regulatory review and compliance.
  • Manage deployment, scaling, and operational support for Spark batch, Iceberg/Starburst, Airflow, and JupyterHub.
  • Support GenAI/RAG service operations.
  • Build and maintain golden-path templates for new services across all supported stacks.
  • Ensure local build parity with CI and maintain platform documentation for self-service.
  • Mentor engineers, conduct design reviews, and set engineering manifesto standards.
  • Champion branch hygiene, PR etiquette, green builds, and SonarQube compliance across the estate.
  • Represent the platform engineering function in architecture forums, risk governance, and regulatory audit engagements.

Requirements:

  • Minimum 12 years in software/infrastructure engineering, with at least 5 years in a senior DevOps, SRE, or platform engineering role.
  • Deep, hands-on Kubernetes and Helm experience.
  • Expert container tooling with Docker, multi-stage builds, image hardening, private registry management.
  • Cross-stack build expertise in Maven, Gradle, npm/Nx, and Python packaging.
  • Pipeline-as-code proficiency with Tekton-style declarative pipelines, Harness, Jenkins, GitHub Actions or GitLab CI.
  • Infrastructure as code and configuration management with Ansible and/or Terraform at production scale.
  • Strong scripting and automation skills in Python and Bash.
  • Artifact management and dependency governance experience.
  • Observability in production with AppDynamics/Dynatrace, Prometheus/Grafana, centralized logging, and on-call incident command experience.
  • Experience with secrets and identity management using CyberArk/Vault.
  • Data platform operational exposure with Kafka, Spark, Airflow, and at least one distributed query/lakehouse technology.
  • Proven legacy pipeline migration track record.
  • Excellent written communication skills.

Preferred Skills:

  • Financial services or regulated-industry experience.
  • GenAI/LLM production operations experience.
  • FinOps / cloud and on-premises cost optimization.
  • Frontend delivery familiarity.
  • Chaos engineering, DR and resiliency testing, performance and load engineering.
  • Certifications: CKA/CKAD, AWS/GCP/Azure professional-level, RHCE.

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