Jobs at CommIT

Develop and deploy scalable, production-grade machine learning and AI solutions, including LLM-based systems and modern NLP applications. Collaborate with senior engineers to build reliable AI-driven financial research products. Responsibilities require strong Python and software engineering skills, deep learning framework experience, database knowledge, Docker, and familiarity with LLM/NLP technologies. Preferred experience includes RAG pipelines, vector databases, LLM fine-tuning, cloud platforms, and Kaggle competitions.

Develop computer vision and deep learning algorithms for detection, segmentation, tracking, and re-identification using large-scale video data. Prototype and evaluate models, analyze failures, optimize inference pipelines, and build production-quality Python solutions. Collaborate with R&D, backend, infrastructure, and QA teams to integrate algorithms into production systems. Support data collection and annotation, apply AI-assisted development tools, and improve model performance, scalability, and robustness.

Designs end-to-end distributed software solutions across AWS, Google Cloud, Azure, on-premises, and hybrid environments. Leads customer discovery, architecture discussions, solution presentations, and technical decisions; creates architecture documentation and proposals; guides development teams through implementation; and supports presales activities. Collaborates with infrastructure, cloud, data, and delivery architects on scalable, secure, observable systems, while promoting reusable architecture patterns and best practices.

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.

Own and secure AWS infrastructure and Kubernetes platforms, implementing IAM, encryption, secrets management, network segmentation, threat detection, and runtime security. Build Terraform-based infrastructure and secure CI/CD pipelines with vulnerability scanning and policy guardrails. Manage observability, incident response, patching, audit remediation, and secure data and AI workloads while optimizing cloud costs.

Own AWS infrastructure, Kubernetes, Couchbase, and Confluent/Kafka platforms in production. Responsibilities include infrastructure as code with Terraform, stateful workload management, CI/CD, observability, incident response, performance tuning, upgrades, replication, backup and recovery, and support for data and AI workloads. The role also emphasizes reliability, scalability, security, and cloud cost optimization.

Leads private equity relationship development and strategic alliances with AWS, OpenAI, and Anthropic across North America and the UK. Builds executive relationships, generates qualified pipeline and revenue, creates partner-led go-to-market motions, and develops scalable technology transformation programs for portfolio companies. Focus areas include AI adoption, cloud and application modernization, operational efficiency, and value creation.

Provide Tier 1 and Tier 2 technical support in a Windows and Microsoft 365 environment. Troubleshoot hardware, software, operating system, network, and Microsoft 365 issues; manage user accounts, permissions, onboarding, and offboarding; document resolutions; escalate complex problems; and deliver strong end-user service.

Lead the architecture, development, and scaling of high-performance Node.js applications, microservices, event-driven systems, data pipelines, and Big Data platforms on AWS. Optimize systems for high throughput, low latency, and concurrency; work with diverse storage and queuing technologies; implement testing and CI/CD practices; and mentor junior engineers.

Manage end-to-end international recruitment for technical roles including software engineering, DevOps, cloud architecture, data engineering, and QA. Source candidates through multiple channels, assess technical and cultural fit, collaborate with hiring managers, maintain talent pipelines, manage ATS data, and ensure a strong candidate experience across global time zones.

Develop and deploy scalable, production-grade machine learning and AI solutions for financial research. Build LLM- and NLP-based applications, apply modern deep learning architectures, and collaborate with senior engineers on reliable AI products. Responsibilities include software development with Python, database integration, containerization with Docker, and potentially developing RAG pipelines, vector database solutions, and fine-tuned LLMs.

Own and deliver high-performance, responsive frontend experiences using React and Next.js. Partner with product, design, and analytics teams to build elegant interfaces, plan product roadmaps, and balance user impact with technical quality. Contribute through code reviews, mentoring, tooling improvements, and scalable development practices while supporting applications serving millions of users.

Own and deliver high-performance, responsive frontend experiences using React and Next.js. Partner with product, design, and analytics teams to translate user needs into intuitive interfaces, plan technical roadmaps, and balance quality with delivery speed. Contribute through code reviews, mentoring, tooling improvements, and scalable development practices. The role requires expertise in TypeScript, JavaScript, monorepos, Tailwind CSS, server-side rendering, cloud platforms, accessibility, and modern testing and build tools.

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.

Owns end-to-end Design-for-Test implementation for customer SoCs, including DFT architecture, scan insertion, ATPG, memory BIST, boundary scan, DRC and coverage debugging, pattern validation, formal equivalence, and production test hand-off. The role requires hands-on experience with industry DFT tools, IEEE test standards, gate-level simulation, and Perl/Tcl/UNIX automation. Advanced-node, broader Tessent, LBIST, and Python experience are preferred.

Provides Tier-2 IT support for Singapore and APAC users, including hardware troubleshooting, conference-room AV, workstation maintenance, laptop imaging, onboarding and offboarding, ITSM ticket handling, network-room support, inventory management, reporting, and SLA monitoring. Requires Microsoft 365, Okta, IT security, networking, device hardening, and professional English communication skills. Experience with APAC support, asset management, MDM tools, and reporting is preferred.

Build and manage greenfield AWS environments, multi-account architectures, networking, infrastructure as code, CI/CD pipelines, monitoring, and cloud security. Support development, QA, and security teams across multiple customer projects and environments. Use AI tools for coding and automation, and contribute to infrastructure for AI solutions using Bedrock and SageMaker. Requires hands-on AWS, Terraform or CloudFormation, CI/CD, Docker, Linux, scripting, and strong customer collaboration skills.

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.

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.