- Build and maintain secure CI/CD pipelines using GitHub Actions, GitLab CI, or Azure DevOps.
- Design, automate, and manage cloud-native infrastructure across AWS/Azure using Terraform and Ansible.
- Implement observability, monitoring, performance optimization, and cost optimization across platforms.
- Develop automation scripts using Python, Bash, or PowerShell and support enterprise-scale configuration management.
- Drive DevSecOps practices, security controls, compliance, and secrets management throughout the SDLC.
- Collaborate with engineering teams to improve platform reliability, scalability, and operational efficiency.
- Leverage AI/ML and AIOps capabilities for anomaly detection, predictive monitoring, and infrastructure optimization.
- Cloud, DevOps, SRE, Security, and Engineering teams
- Cloud Architects and Solution Architects
- Software Developers and Application Engineering teams
- Product and Business stakeholders
- Cross-functional teams driving DevSecOps and automation
- Teams focused on observability, reliability, performance, and cloud optimization
- Infrastructure as Code (IaC): Terraform
- Cloud-native architecture on AWS or Azure
- Strong understanding of Ansible and Ansible Playbooks
- CI/CD design GitHub Actions (preferable), GitLab CI, Azure DevOps with a strong understanding of security within CI/CD
- Observability: Prometheus, Grafana, Splunk, OpenTelemetry
- Cost optimization and performance analysis
- Deploying machine learning models into production using MLOps
- Automation of model retraining and monitoring (drift detection, alerting)
- AI-driven anomaly detection, performance prediction, and capacity forecasting
- Experience in AIOps practices
- Strong automation of configuration management
- Strong scripting in Python, Bash, PowerShell
- Event-driven automation with tools like Airflow or Prefect
- Auto-scaling infrastructure based on AI-driven forecasting and Machine Learning
- Secrets and configuration management: Secrets Manager, Azure Vault, CyberArk
- Experience in working with and creating Ansible playbooks for automated configuration management at enterprise scale.
- Deep understanding of cloud-native security best practices and implications
- DevSecOps experience and driving security as a priority in design and build processes
- Auditability and compliance support for ML pipelines
- Experience in integrating security practices throughout the SDLC lifecycle (ex: scanning and policy enforcement)
- Familiarity with programming languages
- Define product strategy by connecting the dots
- Make product decisions without ambiguity in collaboration with the team
- Manage important stakeholders across the organization while leading initiatives
- Decision-making and accountability/ownership is critical
- One point of executive customer engagement for a large portfolio
- Contribute effectively outside your comfort zone
- Opportunity to work on global projects and Fortune 500 clients
- Exposure to cutting-edge technologies
- Strong learning, mentorship, and career growth programs
- Collaborative and innovation-driven work culture
Skills Required
- 6–9 years of professional experience
- Cloud-native architecture and infrastructure management on AWS or Azure
- Infrastructure as Code using Terraform
- Ansible and Ansible Playbooks for enterprise-scale configuration management
- CI/CD design using GitHub Actions, GitLab CI, or Azure DevOps
- Security practices within CI/CD and throughout the SDLC
- Observability using Prometheus, Grafana, Splunk, or OpenTelemetry
- Cost optimization and performance analysis
- Strong scripting skills in Python, Bash, or PowerShell
- DevSecOps, cloud-native security, compliance, and secrets management
- Enterprise-scale automation and configuration management
- Familiarity with MLOps, AIOps, AI-driven automation, or machine learning model deployment
- Production ML model deployment, model retraining automation, drift detection, and monitoring
- Event-driven automation with Airflow or Prefect
- Secrets management using Secrets Manager, Azure Vault, or CyberArk
- AI-driven anomaly detection, performance prediction, capacity forecasting, or autoscaling
- Experience integrating security scanning and policy enforcement
- Auditability and compliance support for ML pipelines
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







