Jobs at TechBlocks

Leads full-cycle technical recruiting, including sourcing, screening, interviewing, candidate engagement, onboarding, and partnership with hiring managers. Develops recruitment strategies, researches talent markets and salary benchmarks, maintains ATS records, and reports on hiring metrics such as time-to-fill, pipeline status, and sourcing effectiveness. Requires strong knowledge of IT roles, recruiting tools, communication, negotiation, and relationship-building skills.

Lead global product strategy and lifecycle management from ideation through launch and iteration. Responsibilities include customer research, product planning, UX/UI collaboration, KPI development, ROI analysis, data analysis, experimentation, technical design guidance, risk management, and cross-functional milestone tracking. The role requires managing multiple products, collaborating with engineering and business teams, presenting to executives, and delivering ecommerce products with AI exposure.

Provide production support for Control-M batch scheduling, including job monitoring, execution, reruns, holds, releases, dependency troubleshooting, and failed-job resolution. Implement operational schedule changes, troubleshoot incidents independently, and collaborate with application, database, infrastructure, and US-based stakeholders. Support incident, change, and problem-management processes while learning Freshworks and Freshservice platforms. Basic scripting, ITIL experience, and distributed-team support are beneficial.

Design and lead enterprise-scale Internal Developer Portal and Platform Engineering solutions using Backstage. Own platform architecture, developer self-service, DevEx, integrations, cloud-native infrastructure, CI/CD, identity and access management, security, governance, automation, and infrastructure as code. Provide technical leadership, architecture documentation, and stakeholder management.

Leads engineering strategy, architecture, solution design, delivery planning, testing practices, and technical quality for web, mobile, and cloud solutions. Partners with customers, business stakeholders, and global delivery teams; mentors engineers; manages projects, estimates, vendors, budgets, and priorities; and supports talent acquisition, development, and retention. Advises executives and customers on technology strategy, performance, costs, and differentiated digital solutions.

Develop and maintain Power BI reports, dashboards, and visualizations; write SQL and Databricks queries; analyze business, engineering, and software delivery data; validate data quality; identify trends and insights; and communicate findings through clear analytical write-ups and stakeholder presentations. Collaborate with business, engineering, product, delivery, and data teams to translate requirements into actionable business intelligence solutions.

Develop enterprise Power BI dashboards, reports, semantic models, and advanced DAX solutions integrated with Databricks SQL Warehouse. Implement row-level security, optimize models, queries, connectivity, and report performance, and select appropriate DirectQuery or Import architectures. Collaborate with stakeholders, data engineers, architects, and leadership to translate requirements into scalable reporting solutions. Establish BI development, governance, security, deployment, and performance standards while supporting multiple business audiences and mentoring other developers.

Designs and executes performance tests using JMeter, including load, stress, endurance, component, and client-side testing. Analyzes results, monitors applications with Grafana, Datadog, and APM tools, identifies bottlenecks, supports root-cause analysis, and collaborates with development and operations teams on fixes. The role also involves capacity planning, documentation, reporting, process automation, stakeholder communication, and technical leadership of performance QA teams.

Lead site reliability engineering for cloud-native platforms by defining SLIs and SLOs, managing error budgets, leading production incident response and root cause analysis, maintaining runbooks, and improving observability, automation, availability, and resilience. The role uses GCP, Kubernetes, Terraform, Helm, Prometheus, Grafana, ELK, and incident management tools while supporting capacity planning, failover testing, and cross-functional reliability reviews.

Designs and manages production-grade CI/CD pipelines, automates infrastructure with Terraform and Helm, and operates Kubernetes workloads on GCP. The role owns deployment strategy, DevSecOps integration, secrets management, monitoring, alerting, scaling, and resilience. It also establishes engineering workflows, reviews automation, documents processes, ensures deployment quality, and mentors junior DevOps engineers.

Define and lead end-to-end architecture for large-scale e-commerce platforms across frontend, backend, APIs, integrations, and cloud infrastructure. Design scalable, secure, highly available solutions using Java, Spring Boot, React, microservices, and GCP. Establish architecture standards, review technical designs, manage risks, guide engineering teams, support DevOps and production troubleshooting, and ensure performance, resilience, security, and cost optimization.

Lead hands-on enterprise data architecture and engineering across multiple delivery pods. Design scalable cloud-native data platforms, ingestion pipelines, data meshes, semantic models, knowledge graphs, and analytical layers. Develop conceptual, logical, physical, normalized, and dimensional data models, applying RDF, OWL, SPARQL, and SHACL. Support production coding, integrations, performance, incidents, and reliability. Integrate AI agents and MCP capabilities with secure, observable enterprise data platforms while advising engineering and product leadership.

Design, develop, and operate production-grade Databricks data pipelines integrating REST APIs and enterprise systems. Build dimensional models, advanced SQL transformations, Python utilities, data quality frameworks, and governed assets in Unity Catalog. Manage orchestration, monitoring, error handling, performance optimization, production troubleshooting, CI/CD, and data governance. Preferred experience includes Azure data services, Medallion Architecture, Delta Live Tables, telemetry ingestion, and DevOps practices.

Administer and support enterprise SaaS analytics platforms, integrating Git and Azure DevOps data through APIs and validating it with SQL. Troubleshoot platform, data, authentication, and integration issues; monitor reliability and data quality; automate operational tasks; and document an existing, poorly documented platform. Collaborate with engineering, DevOps, security, data, and business stakeholders on platform operations, engineering analytics, and modernization.

Administer and integrate Software Engineering Intelligence platforms across Git, work-tracking, and CI/CD systems. Configure connectors, resolve cross-platform identities, validate engineering data, troubleshoot ingestion issues, and support platform evaluations and PoCs. Integrate AI coding-assistant telemetry and export SEI data to Databricks or similar lakehouses. Collaborate with engineering, DevOps, data, product, and vendor teams while documenting integrations, data flows, mappings, and operational procedures.

Design and implement scalable, cloud-native data architectures, comprehensive data models, semantic and canonical models, ontologies, and enterprise knowledge graphs. Lead data integrity, interoperability, governance, and production reliability across financial workflows. Partner with engineering teams, contribute directly to production code, and integrate AI agents and MCP capabilities with secure enterprise data platforms. Provide technical leadership across delivery pods while maintaining hands-on involvement from architecture through implementation and operations.

Lead the design, implementation, and support of scalable cloud-native platforms, Kubernetes environments, infrastructure-as-code modules, CI/CD pipelines, and DevSecOps automation. Manage cloud infrastructure, GitOps deployments, observability, security controls, reliability, and disaster recovery. Build self-service developer capabilities, internal developer portals, documentation, and automation while partnering with development, security, and SRE teams on incident response and continuous improvement.

Develop and enhance large-scale optimization and machine learning models for supply chain decision systems, including routing, scheduling, and resource allocation. Build Python and SQL data workflows in Azure and Databricks, diagnose model and data issues, translate business requirements into analytical solutions, and communicate trade-offs to technical and business stakeholders. Collaborate cross-functionally, ensure model reliability and scalability, and guide junior team members.

Designs and maintains production-grade CI/CD pipelines, cloud infrastructure, Kubernetes deployments, and infrastructure-as-code across GCP environments. Automates provisioning with Terraform and Helm, manages secrets and DevSecOps integrations, and implements monitoring, alerting, autoscaling, and resilience strategies. The role also supports incident management, deployment readiness, documentation, peer reviews, and mentoring junior DevOps engineers.

Designs and maintains secure cloud-native platforms, infrastructure-as-code, CI/CD pipelines, observability, automation, and DevSecOps controls across AWS or Azure. Develops scripting and configuration-management solutions, optimizes platform performance and costs, manages secrets and compliance, and collaborates with engineering, security, SRE, and architecture teams. Applies AI/ML and AIOps capabilities for anomaly detection, predictive monitoring, and infrastructure optimization.