The Role
Define and execute enterprise AI DevOps strategy and architecture, design scalable CI/CD and AIOps platforms, integrate AI-driven monitoring and DevSecOps controls, lead platform engineering teams, conduct architecture reviews, and drive governance, automation, and developer self-service for secure, AI-enabled software delivery.
Summary Generated by Built In
About Us:
Techblocks is a leading global digital product development firm. We unify strategy, design and technology with continuous growth-centric digital product engineering solutions for F500 companies and global brands, including Bell Telecom, Bausch Health (Previously Valeant Pharma), Honda Motors, AES Corp, Thomson Reuters Carswell, First American and Colliers International.
Our passion is empowering innovators and change-makers at every level of the product life cycle. We specialize in building customized business apps that allow organizations and enterprises to improve their efficiency, collaboration and user experience.
Experience & Track Record
- 7–12+ years in software engineering, platform engineering, or DevSecOps — with meaningful time in a senior individual contributor or tech lead role.
- Staff Engineer, Principal Engineer, or Senior Tech Lead background in a platform, DevOps, or developer tooling context. You’ve been the person other engineers come to with hard architecture questions.
- Demonstrated experience designing and building CI/CD platforms or developer tooling for organizations with 200+ engineers. You’ve felt the scale problems firsthand.
- Track record of producing high-quality technical artifacts: architecture docs, ADRs, RFCs, runbooks. You write clearly and your documentation actually gets read and used.
- Experience influencing technical decisions across teams you don’t directly control. You know how to build consensus without having authority.
Technical Depth — You Should Be Strong Here
- CI/CD platform design: deep expertise with at least one modern platform (GitHub Actions, GitLab CI, Tekton, ArgoCD, or Jenkins). You can design a multi-stage, multi-environment pipeline from scratch and explain the trade-offs.
- Cloud-native infrastructure: hands-on Kubernetes and Terraform (or OpenTofu) experience. You’ve designed cluster architecture, managed Helm releases, and written non-trivial IaC. AWS, Azure, or GCP depth — at least one.
- Security tooling integration: hands-on experience integrating SAST (Semgrep, Checkmarx, or Snyk Code), SCA (Snyk OSS, Mend, or Dependabot at scale), container scanning (Trivy, Grype, or Prisma Cloud), and secrets detection (Gitleaks, TruffleHog, or HashiCorp Vault) into real pipelines.
- Policy-as-code: working experience with OPA/Rego or Kyverno for admission control and pipeline policy enforcement.
- Artifact and dependency management: Artifactory, Nexus, or GitHub Packages at scale. You understand artifact promotion patterns, retention policies, and vulnerability triage workflows.
Technical Familiarity — Depth Expected to Grow in Role
- Software supply chain security: working knowledge of SBOM formats (CycloneDX or SPDX), SLSA levels, and Sigstore/Cosign. You’ve either implemented these or done serious research into doing so.
- Internal Developer Portals: hands-on Backstage experience (plugin development, software catalog design) or deep familiarity with Port or a comparable IDP. Opinions required.
- AI coding tools architecture: you’ve evaluated or deployed GitHub Copilot, Cursor, or a similar tool in an enterprise context and have thought through data residency, IP risk, and acceptable-use controls.
- DORA metrics instrumentation: you’ve set up measurement pipelines for deployment frequency, lead time, MTTR, and change failure rate and know where the data collection is messier than the metrics suggest.
- Compliance framework translation: comfortable reading NIST SSDF, SOC 2 criteria, or CITADEL controls and mapping them to concrete technical implementation specs.
Nice to Have
- Hands-on experience with agentic pipeline tooling or LLM-integrated developer workflows (LangChain, LangGraph, AutoGen, or MCP-based tooling).
- Backstage plugin development or contributions to CNCF / OpenSSF projects.
- Experience in a regulated industry: financial services, fintech, healthcare, or government/FedRAMP environments.
- Familiarity with eBPF-based runtime security tools (Falco, Tetragon) or zero-trust network architecture in a Kubernetes context.
- Previous experience as a developer advocate, platform product manager, or in a DevRel-adjacent role — you understand what makes platforms feel good to use, not just technically sound.
Skills Required
- 12+ years of experience in DevOps, Platform Engineering, Cloud Engineering, or Automation Engineering with at least 4 years in an Architecture or Technical Leadership role
- Proven experience defining enterprise DevOps and AI automation strategies
- Strong expertise in designing enterprise CI/CD platforms and DevOps automation frameworks
- Experience architecting AI-powered automation solutions for software delivery and platform operations
- Hands-on experience designing and implementing Agentic AI architectures and orchestration frameworks
- Strong understanding of Large Language Models (LLMs) and AI-assisted software engineering
- Experience designing intelligent workflow orchestration using modern AI automation frameworks
- Experience with AWS or Azure cloud platforms
- Proven expertise implementing enterprise AIOps platforms (intelligent monitoring, anomaly detection, incident prediction, automated remediation)
- Strong scripting and automation expertise using Python, Bash, and PowerShell
- Experience architecting enterprise DevOps platforms including GitHub Enterprise and Azure DevOps
- Experience integrating LLM APIs, AI automation frameworks, and workflow orchestration platforms
- Strong understanding of observability architecture, monitoring, centralized logging, distributed tracing, and alerting frameworks
- Excellent stakeholder management, solution architecture, and technical leadership skills
- Experience with LangChain, AutoGen, CrewAI, Semantic Kernel, or similar Agentic AI frameworks
- Knowledge of Model Context Protocol (MCP) and AI agent orchestration
- Experience with Langfuse, OpenTelemetry, Prometheus, Grafana, ELK/OpenSearch, or Datadog
- Experience with GitHub Copilot Enterprise or other AI coding assistants
- Knowledge of Kubernetes, Docker, Terraform, or OpenTofu
- Experience with Policy-as-Code (OPA, Rego, Kyverno)
- Experience with AWS, Azure, or GCP cloud-native AI services
- Familiarity with Platform Engineering, Internal Developer Platforms (IDP), and GitOps practices
- Knowledge of AI governance, responsible AI principles, and security frameworks for AI systems
- Relevant certifications in Cloud Architecture, Kubernetes, AI Engineering, or DevOps
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The Company
What We Do
@TechBlocks we power the software defined industries (SDI) of today and tomorrow. We are a software engineering and consulting firm. We build modern digital value chains and businesses reimagined to create frictionless experiences for innovative monetization methods and drive unforeseen efficiencies. We are known to build world class custom platforms and products that are cloud native for some of the worlds largest brands. We are the go to technology partners for born in digital businesses that grew with us from "Concept to Commercialization" and have revenues between $100M - $10B. We help modern businesses transition just from a technology outsourcing mentality to help create globally distributed digital COEs and mature them. Our converged COEs that we create in partnership with our clients help power software factories that are extremely dynamic. We have created modern digital COEs and factories that are created with a single minded goal to future proof our clients businesses. Everything we do is centred around two philosophies and practices - Design Thinking and Lean Engineering. Whether it is building digital commerce platforms, marketplace for worlds largest retailers or smart utilities applications and products or digital health products/platforms that power wearables, patches or devices across healthcare landscape; we do it all with speed and sophistication that is unmatched in the industry
