Top Skills' Details:
-CI/CD Expertise: Advanced GitHub Actions experience; building end-to-end pipelines with integrated security and quality checks (SonarQube, Veracode), and modern deployment strategies (blue/green).
- Hybrid Infrastructure: Strong experience across on-prem (Windows/Linux) and Azure, with ability to support cloud transition.
- Infrastructure as Code: Proficiency in Terraform and automation; working knowledge of Python.
- Kubernetes (Deployment-Focused): Experience building pipelines for on-prem Kubernetes and AKS; collaborates with platform teams (no admin required).
- Cross-Functional Communication: Acts as a bridge between engineering and business stakeholders.
- Leadership Potential: Hands-on “player-coach” with ability to drive DevOps transformation and grow into a lead role.
Candidates should possess a FinOps mindset, focusing on cost control and data visualization for cloud costs, exemplified by tools like GitHub Copilot.
Description
As a Senior DevOps Platform Engineer, you will play a critical role in ensuring the reliability, scalability, security, and performance of Berkley’s software systems. You will collaborate closely with product engineering, infrastructure, and architecture teams to build, mature, and operate an enterprise DevOps platform that enables teams to deliver software safely, efficiently, and at scale.
This role blends DevOps platform engineering and SRE practices, with a focus on CI/CD, observability, automation, and reliability across both cloud and on‑premises environments.
- Maintain a strong understanding of the entire technology stack (networking, storage, OS, virtualization, databases, development frameworks, and applications) to design, observe, troubleshoot, and automate systems across the Berkley environment.
- Design, build, and mature enterprise CI/CD pipelines and shared DevOps platform services, enabling secure, reliable, and scalable software delivery for multiple teams.
- Define, implement, and track reliability and observability OKRs, including SLIs and SLOs, to guide reliability engineering, deployment practices, and operational decision‑making.
- Implement and evolve monitoring, alerting, and observability solutions, including AIOps capabilities, to proactively assess system health, detect anomalies, enable self‑healing, and support rapid incident response.
- Drive automation initiatives to eliminate operational toil, streamline platform and pipeline workflows, reduce manual intervention, and improve efficiency for product engineering and SRE teams.
- Identify and address performance, scalability, and reliability bottlenecks across applications, infrastructure, and delivery pipelines to improve system efficiency and user experience.
- Partner with incident management and operations teams to respond to, resolve, and prevent system outages or degradation, minimizing downtime and customer impact.
- Collaborate actively with development, operations, and platform teams to embed resiliency, observability, security, and reliability requirements into system design, CI/CD pipelines, and runtime environments.
- Lead cross‑functional coordination with product, development, infrastructure, and architecture teams to perform capacity planning, anticipate growth, and ensure systems scale reliably with business demand.
- Continuously improve platform resilience by identifying and closing gaps in architecture, tooling, processes, and operational practices.
- Modernize and strengthen disaster recovery capabilities for both on‑premises and cloud‑based Berkley solutions, ensuring recoverability, resilience, and compliance with enterprise standards.
Skills
github, ci/cd, cloud, infrastructure engineering, on prem, devops
Top Skills Details
github,ci/cd,cloud,infrastructure engineering,on prem,devops
Additional Skills & Qualifications
- 5+ years of experience in DevOps and Site Reliability Engineering, with hands‑on ownership of infrastructure, CI/CD platforms, and software delivery in enterprise environments.
- Strong software engineering and automation skills, including proficiency in Python, Go, Bash, or JavaScript, and experience building production‑grade automation.
- Proven expertise in enterprise CI/CD, GitOps, and containerized platforms, including Kubernetes, Helm, and cloud‑native delivery patterns.
- Deep experience with reliability and observability, including monitoring, alerting, logging, and tracing platforms (e.g., Dynatrace, Datadog, ELK), and defining SLIs, SLOs, and reliability metrics.
- Strong understanding of cloud, on‑prem, and hybrid architectures, including high availability, disaster recovery, capacity planning, and scalability.
- Hands‑on experience with infrastructure as code and configuration management (e.g., Terraform, Ansible, GitHub Actions) to reduce operational toil and enable self‑service.
- Solid knowledge of security and networking fundamentals, including applying industry‑standard security frameworks in enterprise environments.
- Demonstrated ability to lead technical initiatives, influence system design decisions, mentor engineers, and collaborate effectively across product, engineering, infrastructure, and security teams.
- Bachelor’s degree with emphasis in related field or equivalent experience.
Experience Level
Expert Level
Job Type & LocationThis is a Contract to Hire position based out of Wilmington, DE.
Pay and BenefitsThe pay range for this position is $75.00 - $80.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace TypeThis is a fully onsite position in Wilmington,DE.
Application DeadlineThis position is anticipated to close on Jun 3, 2026.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: 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.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.