Practice Architect II (SRE Cloud Ops)

TEKsystems•Hanover, MD

2d•$148,200 - $222,400•Remote

About The Position

Think 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, and we 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. Ready to join us? Here’s what the opportunity supported through 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 (GCP), 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, capable of mentoring offshore teams, building reference implementations, and rapidly taking solutions from concept to market. You 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.

Requirements

10–12+ years of experience in cloud architecture, platform engineering, SRE, or distributed systems.
Deep, hands-on expertise in AWS / GCP or hybrid with production-scale environments.
Proven Systems Design & Architecture and design 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 with 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 large Global team.
Ability to mentor, influence, and raise the technical bar across teams without formal authority.
Professional-level Cloud Solution Architect certification (AWS, Azure, or GCP) – required.
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

Nice To Haves

Observability platform (Dynatrace, Datadog etc.) certifications – preferred.
IaC Certifications like Terraform - Preferred
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.

Responsibilities

Own the end-to-end technical architecture and implementation of cloud platforms on AWS and GCP.
Design and implement production-grade reference architectures for: Multi-account (AWS) and multi-project (GCP) environments, Kubernetes platforms (EKS, GKE), Hybrid and multi-cloud enterprise deployments.
Remain hands-on with architecture validation, PoCs, and complex customer implementations.
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.
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.
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).
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.
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.