Jobs at CommIT

Own BridgeWise’s regional go-to-market strategy, revenue growth, enterprise sales cycle, partnerships, and market expansion across financial institutions. Build pipelines and sales processes from scratch, manage strategic customer relationships, represent the company with senior stakeholders, collaborate cross-functionally, and hire and coach regional sales talent as the market develops.

Lead the end-to-end development of a modern BI and data platform, including technology selection, architecture, data modeling, pipelines, semantic layers, dashboards, governance, and production delivery. Partner with engineering, product, business stakeholders, and BI leadership while establishing scalable standards for quality, lineage, monitoring, and batch or real-time processing. The role requires strong Snowflake, SQL, ETL/ELT, dbt, orchestration, Python, and BI expertise, with ownership from initial design through implementation.

Own regional go-to-market strategy, revenue growth, enterprise sales, partnerships, and market expansion for BridgeWise. Develop relationships with banks, brokerages, asset managers, wealth platforms, and other financial institutions; close complex B2B deals; build sales processes and pipelines from scratch; and hire and manage regional sales talent. Collaborate cross-functionally with Product, Customer Success, Marketing, and Partnerships while reporting regional performance to global leadership.

Own the Agentic SDLC roadmap and delivery lifecycle for AI agents, coordinating product, engineering, data, QA, DevOps, security, privacy and platform teams. Manage requirements, backlogs, resources, vendors, risks, dependencies, governance and quality gates across discovery through production scaling. Drive responsible AI, security, human oversight, stakeholder communication, pilots and adoption while improving reusable delivery patterns and outcomes.

Develop and maintain full-stack .NET and Angular services for a data-driven sports betting product. Responsibilities include third-party integrations, MS SQL data modeling and optimization, architecture discussions, production ownership, planning, Jira workflows, and paid weekend on-call support. The role requires hands-on Angular 16, Ionic, .NET 5, MS SQL, production systems experience, backend architecture knowledge, and experience with Claude and agentic development.

Own and evolve a production lakehouse supporting millions of daily financial events. Design bronze, silver, and gold layers; build CDC streaming pipelines; optimize storage and queries; manage retention, archival, reconciliation, and data correctness. Establish governance through cataloging, lineage, access controls, masking, encryption, and audit trails. Monitor ingestion health, anomalies, and cloud costs while supporting reliable, traceable data for Analytics, Finance, and Regulatory teams.

Develop scalable, secure backend services and APIs using Node.js. Design microservices, optimize SQL and NoSQL databases, build cloud infrastructure, troubleshoot production issues, and improve system performance, reliability, and security. Collaborate with product teams and customers to translate requirements into effective solutions while contributing clean, tested, documented code.

Develop scalable, secure backend services and APIs using Node.js, SQL and NoSQL databases, microservices, and cloud infrastructure. Responsibilities include data modeling, performance optimization, troubleshooting production issues, improving reliability and security, writing tested code, participating in reviews, and collaborating with customers and cross-functional teams.

Lead complex hybrid cloud transformation projects from discovery through migration and handover. Manage enterprise clients, engineering squads, budgets, timelines, scope, resource planning, risks, stakeholder communications, technical alignment, and project profitability. The role requires cloud infrastructure fluency, Agile/Scrum expertise, executive communication, and the ability to coordinate Cloud Architects, DevOps Engineers, and Systems Specialists.

Designs and leads scalable GCP data solutions across architecture, modeling, ETL/ELT pipelines, data lakes, lakehouses, warehouses, and real-time workloads. Implements data quality, governance, monitoring, orchestration, and production deployment practices. Collaborates with architects, engineers, DevOps teams, analysts, and customers while supporting analytics, AI, and ML initiatives. Requires strong Python, SQL, GCP, cloud data platform, and large-scale processing expertise.

Designs and leads scalable data solutions on GCP, including data architectures, ETL/ELT pipelines, data lakes, lakehouses, warehouses, and batch or real-time processing. Develops data models, orchestration, monitoring, governance, and production deployments while collaborating with architects, engineers, analysts, DevOps teams, and customers. Requires strong Python and SQL skills, GCP expertise, cloud data warehouse experience, and familiarity with visualization, transformation, CI/CD, and infrastructure practices.

Designs and leads scalable GCP data solutions across architecture, modeling, ETL/ELT pipelines, data lakes, lakehouses, warehouses, analytics, and production deployment. Builds batch and real-time data systems, implements quality, governance, monitoring, and orchestration, and collaborates with architects, engineers, DevOps teams, analysts, and customers. Requires strong Python, SQL, GCP, cloud data warehouse, transformation, and large-scale processing experience.

Build and maintain secure, scalable cloud infrastructure for CI/CD pipelines and production services. Automate deployments, manage Kubernetes and container platforms, implement Terraform and Terragrunt infrastructure as code, and maintain monitoring and logging systems. Collaborate with engineering teams to improve platform reliability, performance, scalability, and security.

Build and maintain secure, scalable cloud infrastructure supporting CI/CD pipelines and production services. Automate deployments, manage Kubernetes, Docker, and Helm environments, implement Terraform and Terragrunt infrastructure-as-code, and maintain monitoring and logging with Prometheus, Grafana, ELK, or OpenSearch. Collaborate with engineering teams to improve platform reliability, performance, security, and scalability.

Owns cloud infrastructure, real-time event-driven data pipelines, distributed storage, networking, and high-availability systems for a high-concurrency gaming platform. Designs Terraform-managed AWS environments, Kafka and CDC pipelines, data lakes, API gateways, automated failover, zero-downtime routing, observability, disaster recovery, cost optimization, and scaling strategies for live-betting transactional workloads.

Own the technical delivery of a new BI and data platform from architecture and technology selection through production. Build scalable pipelines, ingestion processes, data models, semantic layers, quality and observability practices, dashboards, and self-service analytics. Establish engineering standards, KPI definitions, governance, and CI/CD, while partnering with Engineering, Product, BI leadership, and business stakeholders. Support platform adoption, advanced analytics, predictive modeling, and AI use cases.

Develop and maintain scalable, secure backend services and APIs using Node.js. Build high-performance systems, work with SQL and NoSQL databases, implement microservices, and maintain cloud infrastructure. Collaborate cross-functionally on product features, troubleshoot production issues, and improve system reliability, performance, scalability, and security while delivering clean, maintainable code.

Develop and maintain scalable, secure backend services and APIs using Node.js. Build high-performance systems, optimize SQL and NoSQL databases, implement microservices, and support cloud infrastructure. Collaborate with cross-functional teams to deliver product features, troubleshoot production issues, and improve system reliability, performance, scalability, and security while maintaining clean, high-quality code.

Own regional go-to-market strategy, revenue growth, enterprise sales, and market expansion for financial institution customers. Build pipelines, partnerships, sales processes, and market presence from scratch while closing complex B2B deals with banks, brokerages, asset managers, and wealth platforms. The role requires capital markets expertise, technology fluency, senior stakeholder relationship management, entrepreneurial autonomy, and fluency in English and the region’s primary language.

Senior Backend Engineer responsible for developing scalable backend features, integrations, and customer-focused technical solutions. The role involves architecture, API and system design, troubleshooting complex performance and reliability issues, cloud infrastructure, customer collaboration, and cross-functional product development. The engineer will work with distributed teams and contribute to agile delivery, CI/CD pipelines, automated testing, and production-grade systems handling high data volumes.