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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior DevOps Engineer - **Company:** Ascensus, LLC - **Location:** Newton, MA, United States - **Experience:** Expert - **Salary:** $120,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Automation of Tests, Cloud Computing, Software Quality, Databases, Continuous Integration, Data Integrity, Data Masking, Database Schema, DevOps, Github, Identity and Access Management, Microsoft SQL Server, Operational Databases, Oracle (Applications), Program Analysis, Reliability Engineering, Prometheus, Runbook, Management of Software Versions, Data Logging, Performance Testing, Grafana, Cloudformation, Amazon Relational Database Service, Kubernetes, Github Enterprise, Bare Metal, Hashicorp, Data Management, Cloudwatch, Terraform, Splunk, New Relic (SaaS), Docker, Pagerduty - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=651024a294e974c0 ## About the Role Do you have experience in Tooling?, We are seeking a Senior DevOps Engineer with 10+ years of hands-on experience designing, building, and operating enterprise-grade CI/CD platforms across hybrid environments (AWS and on-premises) . This role will lead platform standardization, progressive delivery, reliability engineering, and security-by-design to enable high-quality, low-risk software delivery at scale ., * HashiCorp Vault, AWS Secrets Manager , or equivalent * Secure pipeline design with controlled credential access * Compliance-ready logging, approvals, and traceability Soft Skills & Delivery Expectations * Experience in regulated or financial services environments * Strong documentation, runbooks, and architectural communication * Proven collaboration with application, infrastructure, security, and QA teams * Comfortable operating in enterprise, onshore delivery models ## Description CI/CD Platform & Environment Strategy * Design, implement, and operate a standardized CI/CD framework supporting Dev, QA, PartnerLab, Staging, and Production * Define promotion workflows with enforced quality gates and artifact immutability * Establish PartnerLab as a dedicated integration and validation environment with no direct path to Production * Ensure environment parity across AWS and on-prem systems Progressive Delivery & Release Engineering * Implement feature flags , canary deployments , blue-green deployments , and phased rollouts * Enable automated rollback based on health checks, error rates, and SLO breaches * Maintain full release traceability from commit through production Test Automation & Quality Engineering * Integrate unit, integration, regression, security, and performance testing into CI/CD pipelines * Enforce automated quality gates before environment promotion * Support manual validation workflows with controlled access, observability, and test artifacts Database & Data Automation * Automate database schema versioning, migrations, rollbacks, and validation * Build lower-environment refresh pipelines sourced from production data * Enforce data masking and PII anonymization for non-production environments * Validate data integrity and consistency post-refresh Observability, Reliability & Operations * Define and enforce observability standards across logs, metrics, and traces * Implement service health dashboards, alerts, and incident signals * Integrate deployment health into automated release decisions * Support on-call readiness , incident response, and post-incident reviews Security, Governance & Compliance * Embed security scanning, secrets management, and access controls into pipelines * Enforce least-privilege IAM , credential rotation, and artifact integrity checks * Align CI/CD workflows with enterprise change management and audit requirements, Cloud & Infrastructure * AWS (mandatory): ECS, EKS, Lambda, RDS, IAM, CloudFormation, CloudWatch * Hybrid infrastructure experience across on-prem VMs, bare metal, and internal networks * Terraform for modular, reusable, policy-compliant infrastructure CI/CD & Platform Engineering * GitHub Enterprise & GitHub Actions (reusable workflows, templates, runners, environments) * CI/CD orchestration across hybrid AWS and on-prem topologies * Artifact versioning, promotion, and immutability strategies Containers & Orchestration * Docker image design, optimization, and security hardening * Kubernetes (EKS and on-prem) deployment patterns, scaling, and lifecycle management * Helm for deployment standardization Testing, Release Safety & Analysis * Automated testing frameworks (unit, integration, regression, performance) * Static and dynamic analysis tools (code quality, security, dependency scanning) * Feature flag platforms or equivalent internal capabilities Database & Data Management * Oracle and Microsoft SQL Server (mandatory) * Schema migration tooling with automated rollback * Data masking, anonymization, and controlled refresh automation Observability & Reliability Engineering * Metrics, logging, and tracing with Prometheus, Grafana, Splunk, New Relic, CloudWatch, OpenTelemetry, ELK * SLO-driven alerting and deployment health evaluation (e.g., Uptrends, PagerDuty) * Automated failure containment and rollback strategies ## Related Videos - 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