Information Technology_USA - USA_Engineer

Real SoftJacksonville, FL
Remote

About The Position

The Senior DevOps Engineer will be responsible for designing, implementing, and operating a standardized CI/CD framework across multiple environments (Dev, QA, PartnerLab, Staging, and Production). This role involves defining promotion workflows with quality gates, establishing a dedicated integration environment, and enabling environment parity across AWS and on-premises systems. The engineer will also implement progressive delivery strategies like feature flags and canary deployments, support automated rollback mechanisms, and integrate various automated testing types into CI/CD pipelines. Additionally, the role includes automating database schema management, ensuring data masking and anonymization, and establishing observability standards for logs, metrics, and traces. Security, governance, and compliance will be embedded into the CI/CD workflows, including security scanning, secrets management, and access controls, aligning with enterprise change management and audit requirements.

Requirements

  • AWS (mandatory): ECS, EKS, Lambda, RDS, IAM, CloudFormation, CloudWatch
  • Hybrid infrastructure experience with on-prem VM, bare metal, and internal networking platforms
  • Terraform for modular, reusable, and policy compliant infrastructure provisioning
  • GitHub Enterprise & GitHub Actions (workflow design, reusable templates, runners, environments)
  • CI/CD orchestration across hybrid AWS and on-prem topologies
  • Artifact versioning, promotion, and immutability strategies
  • Docker image design, optimization, and security hardening
  • Kubernetes (EKS + on-prem) deployment patterns, scaling, and lifecycle management
  • Helm based deployment standardization
  • Automated testing frameworks for unit, integration, regression, and performance
  • Static and dynamic analysis tools (code quality, security, dependency scanning)
  • Feature flag management platforms (or equivalent internal capability)
  • Hands on expertise with Oracle and Microsoft SQL Server (mandatory)
  • Schema migration tooling and automated rollback strategies
  • Data masking, anonymization, and controlled refresh automation
  • Metrics, logging, and tracing using Prometheus, Splunk, New Relic, Grafana, CloudWatch, OpenTelemetry, and ELK
  • SLO driven alerting and deployment health evaluation (Uptrends & PagerDuty)
  • Automated rollback and failure containment mechanisms
  • Secrets management using HashiCorp Vault, AWS Secrets Manager, or equivalent
  • Secure pipeline design with controlled credential access
  • Compliance ready logging, approvals, and traceability
  • Experience operating in regulated or financial services environments
  • Strong written documentation, runbooks, and architectural clarity
  • Ability to collaborate with application, infrastructure, security, and QA teams
  • Comfortable working in onshore enterprise delivery models

Responsibilities

  • Design, implement, and operate a standardized CI/CD framework supporting Dev, QA, PartnerLab, Staging, and Production environments.
  • Define promotion workflows with enforced quality gates and artifact immutability.
  • Establish PartnerLab as a dedicated integration and validation environment with no direct promotion path to Production.
  • Enable environment parity across AWS and on premises systems.
  • Implement feature flags, canary deployments, blue green strategies, and phased rollouts.
  • Enable automated rollback based on health checks, error rates, and SLO breaches.
  • Support release traceability from commit through production deployment.
  • Integrate unit, integration, regression, security, and performance testing into CI/CD pipelines.
  • Enforce automated quality gates prior to environment promotion.
  • Support manual validation workflows with controlled access, observability, and test artifacts.
  • Automate database schema versioning, migrations, rollbacks, and validation.
  • Implement lower environment refresh pipelines sourced from production data.
  • Enforce data masking and PII anonymization for all non-production environments.
  • Validate data integrity and consistency post refresh.
  • Define and enforce observability standards across logs, metrics, and traces.
  • Implement service health dashboards, alerting, and incident signals.
  • Integrate deployment health into automated release decisions.
  • Support on-call readiness, incident response, and post-incident learning.
  • Embed security scanning, secrets management, and access controls into pipelines.
  • Enforce least privilege IAM, credential rotation, and artifact integrity verification.
  • Align CI/CD workflows with enterprise change management and audit requirements.
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