Jobs at CommIT

Own and secure AWS infrastructure and Kubernetes platforms, embedding security throughout cloud operations and CI/CD. Responsibilities include IAM, encryption, secrets, network segmentation, threat detection, Kubernetes hardening, Terraform infrastructure as code, vulnerability management, observability, incident response, audit remediation, and secure support for data and AI workloads. The role also manages cloud reliability, cost optimization, and security tooling.

Own AWS infrastructure and the Kubernetes platform, including production Couchbase and Confluent Kafka environments. Design and operate clusters, stateful workloads, infrastructure as code, CI/CD pipelines, monitoring, alerting, incident response, and disaster recovery. Tune performance, manage scaling and upgrades, support data and AI workloads, and optimize cloud costs. The role requires deep hands-on expertise with Couchbase, Kafka, AWS, Kubernetes, Terraform, observability, Linux, networking, Python, and Bash.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, collaborate with senior engineers, and contribute to reliable AI-driven products. Responsibilities require Python, software engineering, deep learning, databases, Docker, and at least one major deep learning framework. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.

Owns end-to-end Design-for-Test activities for customer SoCs, including DFT architecture, scan insertion, ATPG, memory BIST, boundary scan, pattern validation, coverage improvement, DRC debug, gate-level simulation, equivalence checking, and production test handoff. Automates DFT flows using Perl, Tcl, UNIX, and optionally Python while supporting projects from concept through tape-out and manufacturing.

Leads end-to-end architecture for enterprise data, analytics, and AI solutions in a Microsoft-first environment. Translates business requirements into secure, scalable designs; guides prototyping, implementation, reviews, troubleshooting, and production readiness. Requires deep Azure data platform, Power BI, enterprise security and governance, Azure OpenAI, and RAG experience. The architect provides hands-on technical leadership and ensures solutions meet operational, compliance, cost, and supportability standards.

Design and build scalable, production-grade backend systems and infrastructure. Work with Node.js, SQL/NoSQL databases, cloud platforms, and microservices. Solve complex problems, ensure security and performance, and produce clean, maintainable code. Collaborate with engineers on distributed systems and high-scale data processing.