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Burn Specialist RN
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Devsecops Engineer
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Lead Field Service Engineer – Drives
GE Vernova
Unspecified, VA · Unspecified, CT · Unspecified, DE · Unspecified, NJ · Unspecified, NY · Unspecified, RI · Boston, MA
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Senior Manager - Contracts
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Boston, MA · Niskayuna, NY · Washington, DC
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Assistant General Manager
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modis

Product Engineering Lead

Atlanta, GA, United States

$68 to $71 USD / hour

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Job details

Pay: $68 to $71 USD / hour
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Modis is seeking a Product Engineering Lead for a Contract job with a client in Atlanta, GA (Onsite). The ideal candidate will lead the strategy, governance, and evolution of enterprise software delivery capabilities while driving platform modernization, engineering excellence, security integration, and cloud cost optimization within a highly regulated environment. Rate Range: $68/hour to $71/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.

Product Engineering Lead job responsibilities include:

Own and govern the enterprise Harness platform, including platform architecture, configuration standards, role-based access controls (RBAC), governance frameworks, module adoption strategies, and vendor management activities.
Design, implement, and maintain scalable CI/CD platform capabilities that support enterprise software delivery across multiple engineering teams.
Establish reusable pipeline templates, shared libraries, build optimization strategies, caching mechanisms, and parallelization standards to improve engineering productivity and platform performance.
Lead integration of security controls within software delivery pipelines, including SAST, DAST, SCA, container security scanning, secrets management, and vulnerability remediation workflows.
Develop and manage engineering performance metrics including DORA metrics, deployment frequency, lead time, flow efficiency, and release performance indicators.
Establish cloud cost management and FinOps practices including cost visibility, budgeting, anomaly detection, showback, chargeback, and optimization initiatives.
Implement policy-as-code frameworks that provide version-controlled, auditable, and automated governance capabilities across delivery pipelines.
Own and manage the broader SDLC tooling ecosystem, including source control, artifact repositories, issue management platforms, testing tools, static analysis platforms, and software delivery infrastructure.
Define and maintain engineering “golden paths” that standardize and simplify software delivery best practices across development organizations.

Desired Qualifications:

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related technical discipline.
Twelve to fourteen years of experience in Software Engineering, Platform Engineering, Solution Architecture, DevOps, or related technical leadership roles.
Extensive experience leading distributed, high-availability, cloud-native platforms within enterprise environments.
Proven experience owning and managing enterprise-scale CI/CD platforms, including governance, architecture, operational support, and platform modernization.
Deep expertise with Harness or equivalent enterprise delivery platforms such as GitLab, Azure DevOps, GitHub Actions, Jenkins, ArgoCD, or Spinnaker.
Strong experience with pipeline-as-code, infrastructure automation, reusable templates, secrets management, RBAC, and platform governance.
Experience integrating automated security controls and vulnerability management processes within software delivery pipelines.
Strong understanding of DevSecOps principles, software supply chain security, and secure software development practices.
Experience utilizing engineering delivery metrics such as DORA and other performance measurement frameworks.

Preferred Qualifications:

Hands-on experience with Harness STO, SEI, CCM, and additional advanced Harness platform modules.
Experience implementing Policy-as-Code solutions utilizing OPA, Rego, or comparable governance technologies.
Experience leading FinOps programs, cloud cost optimization initiatives, and chargeback/showback implementations.
Experience implementing Generative AI and agentic AI capabilities within enterprise software engineering workflows.
Experience supporting large-scale API ecosystems, partner integrations, and merchant-facing platforms.
Knowledge of PCI-DSS controls, Identity and Access Management (IAM), fraud prevention, and regulated transaction-processing environments.
Experience within payments, fintech, merchant services, banking, or highly regulated financial services industries.
Hands-on development experience with .NET, Java, Go, Node.js, GitHub, Atlassian products, or related enterprise software platforms.

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Modis, or any questions, feel free to contact me at Shashank.Tewari@modis.com

Pay Details: $68.00 to $71.00 per hour

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance for Employers
San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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