DescriptionThink of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution, and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others, and inclusion. We drive positive outcomes for our people and our business, stay true to our commitments, and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.
Here's what the opportunity supported by our TGS Talent Acquisition Team requires:
We are seeking a hands-on Practice Architect - Level 2 to lead the design, build, and scale-out of cloud-native platforms and reliability-driven solutions across AWS and Google Cloud Platform (Google Cloud Platform), with strong grounding in SRE principles and a working understanding of agentic platform concepts. This role is not advisory-only. The Practice Architect Level 2 is expected to be deeply hands-on, able to mentor offshore teams, build reference implementations, and rapidly take solutions from concept to market.
The Practice Architect II will operate at the intersection of platform engineering, reliability engineering, and emerging agentic architectures, enabling global delivery teams to execute at speed while maintaining enterprise-grade reliability and operational maturity.
Key Responsibilities Cloud Platform Architecture (Hands-on Ownership)
Own the end-to-end technical architecture and implementation of cloud platforms on AWS and Google Cloud Platform.
Design and implement production-grade reference architectures for:
- Multi-account (AWS) and multi-project (Google Cloud Platform) environments
- Kubernetes platforms (EKS, GKE)
- Hybrid and multi-cloud enterprise deployments
- Remain hands-on with architecture validation, PoCs, and complex customer implementations.
Reliability Engineering & SRE Excellence Lead platform design using SRE-first principles, including:
- SLIs, SLOs, error budgets, and reliability trade-off decisions
- Incident response models, post-incident reviews, and continuous improvement loops
Ensure platforms are designed for:
- High availability, resilience Engineering concepts
- Operational simplicity and supportability by global teams
- Partner with SRE and operations teams to define operational readiness standards, runbooks, and escalation models.
Agentic Platform Concepts & Solution Enablement Bring a strong conceptual and architectural understanding of agentic systems, including:
- Agent-based workflows and orchestration models.
- Autonomous and semi-autonomous decision-making patterns.
- Human-in-the-loop controls, guardrails, and observability.
Guide teams on how agentic concepts integrate with:
- Cloud platforms and Kubernetes
- Reliability engineering and operational controls
Enterprise security and governance requirements:
- Mentor offshore teams to develop agent-enabled platform capabilities and accelerate solution development and go-to-market timelines.
- Translate emerging agentic patterns into practical, enterprise-ready architectures rather than experimental prototypes.
- Implementation depth is a strong plus, but architectural mastery and the ability to guide teams from concept to production is mandatory.
Platform Engineering & Automation Stay hands-on with:
- Infrastructure-as-Code using Terraform
- Kubernetes lifecycle management (provisioning, upgrades, scaling)
- CI/CD and GitOps-based platform delivery (Helm, pipelines, automation)
- Guide the development of reusable platform components, accelerators, and templates to improve delivery speed and consistency.
- Review and approve designs for shared platform services (networking, identity, security, ingress, secrets).
Global Delivery Leadership & Mentorship Lead and mentor offshore and distributed global teams, ensuring:
- Architectural consistency
- High engineering standards
- Clear ownership and accountability
- Actively participate in code, design, and architecture reviews.
- Bridge gaps between architecture, delivery, and operations, ensuring solutions are executable in real-world client environments.
Practice Growth & Speed to Market - Drive solution incubation, from idea reference architecture implementation market-ready offering.
- Enable faster client onboarding through standardized patterns and pre-built assets.
- Support pre-sales, solutioning, and technical validation when required, without losing hands-on depth.
- Balance innovation with stability, ensuring platforms can scale operationally across multiple clients.
Required Qualifications 10-12+ years of experience in cloud architecture, platform engineering, SRE, or distributed systems.
Deep, hands-on expertise in AWS / Google Cloud Platform or hybrid with production-scale environments.
Proven Systems Design & Architecture knowledge in real-world enterprise environments.
Strong understanding of agentic platform concepts, architectures, and enterprise applicability.
Advanced knowledge of performance tuning and troubleshooting on Hybrid platforms.
Strong fundamentals in networking (VPCs, L3/L4, DNS, load balancing).
Sound knowledge of Kubernetes (EKS, GKE) and cloud-native platforms.
Proficiency in Terraform and at least one programming/scripting language (Go, Python, Bash).
Demonstrated success working in highly collaborative, global delivery environments, including offshore teams.
Must have handled and worked with a large Global team.
Ability to mentor, influence, and raise the technical bar across teams without formal authority.
Certifications Professional-level Cloud Solution Architect certification (AWS, Azure, or Google Cloud Platform) - required.
Observability platform (Dynatrace, Datadog, etc.) certifications - preferred.
IaC Certifications like Terraform - Preferred
Preferred / Nice-to-Have Hands-on experience implementing agent-based or AI-enabled platforms.
Experience designing multi-tenant Kubernetes platforms.
Strong observability experience (metrics, logs, tracing) at scale and Enterprise tools like Dynatrace / Datadog..
Experience building practice-level accelerators.
Open-source contributions or internal platform framework development.
Experience delivering solutions under aggressive timelines with enterprise constraints.
Role Differentiation - Practice Architect Level 2 This role explicitly requires:
Good Communication Skills are Mandatory. Client-facing role.
Hands-on technical execution (not advisory-only)
Mentoring offshore/global teams
Agentic platform architectural understanding
Speed-to-market solution ownership
SRE-driven platform mindset
Experience LevelExpert Level
Job Type & LocationThis is a Permanent position based out of Dallas, TX.
Pay and BenefitsThe pay range for this position is $148200.00 - $222400.00/yr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: Medical, Dental, and Vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life and AD&D for 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 remote position.
Application DeadlineThis position is anticipated to close on Aug 28, 2026.
About TEKsystemsWe'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.
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