Jobs at TechBlocks

Manage full-cycle technical recruitment across North America, including sourcing, screening, interviewing, candidate engagement, and onboarding. Partner with hiring managers to develop recruiting strategies, assess technical candidates, maintain ATS records, and report on recruitment metrics. Conduct market research on talent trends and salary benchmarks while ensuring a positive candidate experience.

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

Owns enterprise data governance, stewardship, quality, lineage, master data, and metadata across operational and analytical systems. Maps data flows, identifies root causes, establishes governance standards, maintains business glossaries, and governs customer, location, and product master data. The role defines quality metrics, supports forecasting data readiness, quantifies business impacts, and partners with engineering, analytics, business leaders, and compliance stakeholders to drive remediation and adoption.

Own the strategy, roadmap, architecture, and execution of Adobe Target personalization across global web properties. Lead experimentation, audience targeting, KPI analysis, and integrations with Adobe Analytics, CDP, CRM, and other MarTech systems. Partner with marketing, UX, engineering, content, campaign, and analytics teams to deliver governed personalization capabilities across five business units.

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.

Leads strategic enterprise client relationships across Retail, FinTech, and Utilities accounts. Owns account growth, executive engagement, digital transformation strategy, program governance, delivery excellence, budgets, resourcing, risks, and customer satisfaction. Coordinates distributed teams across the U.S., Canada, and India while identifying expansion opportunities and supporting proposals. Requires deep technology professional services experience, strong program management, and expertise in AI, data, analytics, and cloud-native solutions.

Lead frontend development of responsive web applications using React JS, Next JS, Redux, and Redux Toolkit. Implement server-side rendering, optimize performance and scalability, review code, manage Bitbucket repositories, and collaborate with design, backend, QA, and cross-functional teams. Lead and mentor a team of four to five developers, provide technical guidance, troubleshoot issues, and contribute to project planning and strategy.

Design and build agentic AI infrastructure on GCP, including multi-agent orchestration, memory and caching, knowledge graphs, conversational analytics, BigQuery Data Agents, ETL/ELT pipelines, security, and observability. Develop production-ready AI systems using Gemini Enterprise, Google ADK, MCP, Python, BigQuery, and modern cloud data architectures.

Develop and maintain high-performance native Android applications using Kotlin and Jetpack Compose. Collaborate on feature delivery, architecture, debugging, API validation, databases, security, and CI/CD. Apply MVVM or MVP patterns, dependency injection, asynchronous programming, version control, and Android best practices while contributing to app-to-app communication and payment or eCommerce integrations.

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.

Manage mission-critical Oracle and PostgreSQL databases across AWS RDS, Aurora, and EC2. Responsibilities include performance tuning, upgrades, patching, incident response, backup and recovery, replication, disaster recovery, monitoring, automation, database deployments, and collaboration with DevOps teams. The role includes occasional on-call rotations and weekend deployments.

Build production-grade data ingestion and transformation pipelines using Databricks, PySpark, Delta Lake, and Microsoft Fabric. Develop LLM and AI agents, MCP servers, and governed AI data access solutions. Apply dimensional modeling, data quality, reconciliation, lineage, and governance practices while integrating enterprise systems. Partner with technical and business stakeholders to deliver data solutions, with preferred expertise in financial data engineering, FP&A, TBM classification, financial controls, and agentic workflows.

Lead the end-to-end upgrade of JasperReports Server from version 6.x to the latest supported release. Own architecture assessment, migration planning, compatibility remediation, security hardening, authentication integration, testing, cutover, and post-upgrade stabilization. Coordinate application, infrastructure, security, identity, database, and business teams while providing technical leadership, architecture decisions, risk management, and stakeholder communication.

Performs manual and automated testing across sprint features, including functional, integration, regression, smoke, sanity, and end-to-end validation. Designs and maintains WebDriverIO or Playwright frameworks using JavaScript or TypeScript, integrates automation with CI/CD pipelines, analyzes failures, supports release quality, participates in Agile ceremonies, and mentors junior team members. The role also contributes to test strategy, automation roadmaps, code reviews, shift-left practices, and process improvements.

Develop scalable Python applications, REST APIs, backend services, and AI/Generative AI capabilities using LLM platforms such as Claude. Build React.js interfaces, integrate applications with Databricks data platforms, and support data pipelines and lakehouse workloads. Use GitHub-based workflows, Docker, Kubernetes, and CI/CD practices while troubleshooting application, API, data, and deployment issues across the software development lifecycle.

Manage large-scale technology programs involving 200–500-person onshore and offshore teams. Lead cross-functional delivery across project management, product, development, architecture, QA, DevOps, and shared services. Oversee offshore transitions, establish PMOs, conduct executive presentations and steering committees, optimize team structures, and ensure performance against budget, resource, quality, and delivery targets.

Leads full-cycle technical recruitment across India, including sourcing, screening, interviewing, candidate engagement, hiring-manager collaboration, onboarding, pipeline development, market research, ATS management, and recruitment reporting. The role focuses on filling complex technology positions across software development, cloud, data, and AI while providing a responsive candidate experience and informed hiring guidance.

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.

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.