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6 results for Devops Aws Ansible Terraform Docker Ii Contractor in Mount Laurel, NJ

DevOps Engineering Manager

Fort Washington, PA
remote
Permanent / Full Time
170000 - 190000 USD / Yearly
We are looking for an experienced DevOps Engineering Manager to lead platform and automation efforts in Fort Washington, Pennsylvania. This role will guide a team responsible for improving software delivery, strengthening infrastructure reliability, and advancing cloud operations across modern engineering environments. The ideal candidate brings a blend of people leadership and technical depth, with the ability to shape DevOps practices that support scalable, secure, and efficient product delivery. Responsibilities: • Guide and develop a DevOps team by promoting ownership, continuous learning, and strong engineering practices across day-to-day operations. • Create and implement a plan to elevate operational capabilities, helping team members grow into modern DevOps-focused roles. • Work closely with engineering, product, and business leaders to align platform investments with delivery objectives and organizational priorities. • Establish and advance DevOps standards across continuous integration, deployment automation, observability, reliability, and security practices. • Design, enhance, and scale CI/CD pipelines to support dependable, repeatable, and efficient software releases across multiple teams. • Lead the adoption of infrastructure as code using tools such as Terraform, Ansible, CloudFormation, Terragrunt, or Bicep to improve consistency and governance. • Oversee cloud infrastructure strategy across Azure and AWS, ensuring environments are secure, resilient, and capable of supporting high-traffic digital experiences. • Define and monitor operational and delivery metrics to improve deployment performance, system uptime, incident response, and overall engineering efficiency. • Drive cloud cost awareness and optimization efforts by partnering with finance and technical stakeholders to improve visibility and resource utilization. • Strengthen production readiness through effective monitoring, alerting, incident management, and the integration of DevSecOps principles into pipelines and infrastructure.
2026-04-21T00:00:00Z

Sr. Cloud Solutions DevOps Engineer

Fort Washington, PA
remote
Permanent / Full Time
135000 - 145000 USD / Yearly
We are seeking a highly experienced and strategic Senior Cloud Solutions DevOps Engineer/Architect to provide technical leadership across our AWS and Azure cloud platforms. In this pivotal role, you will architect, automate, and secure enterprise-level cloud infrastructure—driving best-in-class DevOps and operational practices for mission-critical SaaS applications. You’ll serve as the primary technical bridge between Software Development and SaaS Operations, ensuring end-to-end scalability, security, performance, and reliability.Key Responsibilities:Cloud Architecture & Engineering<ul><li>Architect and implement secure, scalable, and highly available cloud environments (AWS primary, Azure minimal)</li><li>Lead modernization initiatives leveraging cloud-native services</li><li>Design resilient, multi-region solutions aligned with SLA, RPO, RTO requirements</li><li>Establish and evolve cloud architecture standards and operational guardrails</li></ul>DevOps, CI/CD & Automation<ul><li>Design, implement, and enhance CI/CD pipelines using Git and GitLab</li><li>Lead Infrastructure-as-Code (IaC) at scale using Terraform</li><li>Automate provisioning, release orchestration, and environment management</li><li>Integrate DevSecOps practices, including automated testing and security scanning</li></ul>Advanced Networking & Connectivity<ul><li>Lead complex cloud networking, hybrid connectivity, and segmentation (VPC/VNET, VPN, Direct Connect, ExpressRoute)</li><li>Architect network security: firewalls, security groups, zero-trust models, secure ingress/egress, DDoS protection</li><li>Troubleshoot cross-cloud, cross-region, and hybrid environments</li></ul>Cross-Functional Partnership & Leadership<ul><li>Act as the technical liaison among Development, QA, Security, and SaaS Ops teams</li><li>Translate business and application requirements into secure, scalable cloud solutions</li><li>Mentor and coach DevOps, Cloud Engineers, and Reliability Engineers</li><li>Contribute to roadmap planning, tech evaluation, and architectural governance</li></ul>Security, Compliance & Reliability<ul><li>Champion security-by-design and zero-trust principles</li><li>Support compliance initiatives (SOC 2 Type II, HIPAA, HITRUST, ISO 27001, customer audits)</li><li>Oversee IAM, secrets management, encryption, and SIEM integration</li><li>Implement centralized logging, monitoring, and automated incident response</li></ul>Operational Excellence & Cost Governance<ul><li>Drive FinOps strategies including cloud cost optimization and chargeback</li><li>Develop and maintain operational runbooks, disaster recovery, and documentation</li><li>Lead root cause analyses and continuous improvement of delivery metrics</li></ul>
2026-04-17T00:00:00Z

Machine Learning Engineer II (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
64 - 71.85 USD / Hourly
Job SummaryWe are seeking a Machine Learning Engineer to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions. Key Responsibilities<ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul>
2026-04-16T00:00:00Z

Technical Project Manager (Agile, Scrum) III (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
52 - 58 USD / Hourly
Technical Project Manager (Agile / Scrum) III – ContractorEmployment Type: 38 Week Contract, Potential ExtensionLocation: Onsite Hybrid, Philadelphia, PA Pay: Available on W2 Position SummaryWe are seeking an experienced Technical Project Manager (Agile/Scrum) III to lead the delivery of highly complex, enterprise-wide IT programs consisting of multiple interrelated projects. This role requires strong Agile leadership, deep program management expertise, and the ability to coordinate across technical and business stakeholders to deliver outcomes that align with strategic objectives.eKey Responsibilities<ul><li>Manage one or more highly complex or enterprise-wide IT programs comprised of multiple projects</li><li>Lead programs in an Agile environment, applying Scrum values, principles, and best practices</li><li>Coach and mentor individuals and teams on Agile processes, roles, and tools</li><li>Provide regular status reporting on key performance indicators (KPIs), schedules, resources, milestones, and risks</li><li>Develop and maintain program strategies, supporting business cases, and enterprise-level project plans</li><li>Ensure effective integration across projects, adjusting scope, timelines, and budgets as business needs evolve</li><li>Enact and reinforce Scrum values and practices, ensuring correct and consistent use of Scrum frameworks</li><li>Communicate program strategy, progress, and changes to IT leadership, business stakeholders, and consulting partners</li><li>Ensure all projects within the assigned portfolio are delivered on time, within budget, and aligned to strategic and business requirements</li><li>Track critical project milestones and recommend adjustments or corrective actions to Project Managers as needed</li><li>Partner with senior business leaders to identify and prioritize opportunities to leverage technology in support of enterprise goals</li><li>Manage new technical service and engineering programs to meet broad service and product objectives</li><li>Establish milestones, monitor adherence to plans, identify delivery risks, and drive mitigation strategies</li><li>Coordinate work across multiple engineering and development teams</li><li>Act as a liaison between engineering and deployment teams to ensure requirements and design considerations support deployability and long-term sustainability</li></ul>
2026-04-21T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
remote
Temporary / Contract
50 - 55 USD / Hourly
Data Scientist (Big Data) III – ContractorEmployment Type: 27 Week Contract, Potential for Extension or ConversionLocation: MUST CURRENTLY RESIDE in Philadelphia RegionEmployment Type: Contract / TemporaryPay: Available on W2 Position OverviewThe Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.Key Responsibilities<ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
2026-04-20T00:00:00Z

Machine Learning Consultant I (Contractor)

Philadelphia, PA
onsite
Temporary / Contract
70 - 75 USD / Hourly
Machine Learning EngineerPay: Available on W2 BasisConsultant I (Contractor)Work Location: Philadelphia, PA Hybrid, 4x OnsiteEngagement Type: 34 Week Contract, Potential for Extension or ConversionPosition OverviewWe are seeking a Machine Learning Engineer to support the design, development, and optimization of machine learning solutions for real‑world applications. This role focuses on model development, data pipeline construction, and performance evaluation within a collaborative engineering environment.Key Responsibilities<ul><li>Design, build, train, and evaluate machine learning and deep learning models for production and analytical use cases</li><li>Develop and maintain scalable data pipelines for data collection, cleaning, transformation, and ingestion</li><li>Conduct experiments and analyze performance metrics such as accuracy, recall, and AUC</li><li>Optimize models for performance, speed, reliability, and scalability</li><li>Collaborate with cross‑functional teams to support data‑driven solutions</li></ul>
2026-04-29T00:00:00Z