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DevSecOps Engineer
Build and secure CI/CD pipelines, automate security testing (SAST/DAST/SCA), and manage cloud infrastructure with IaC to embed DevSecOps across the SDLC.
Senior AI Engineer
Build and deploy AI-native features and agent workflows for a global fintech insurance company, integrating LLMs, retrieval systems, and ML models into production-grade applications.
Manager, Solution Engineering(Site Reliability Engineering)
Lead a Site Reliability Engineering team to build automated, self-healing systems that ensure global financial transactions run reliably and securely 24/7.
Senior Analyst, Automation & Analytics
Senior Analyst builds and maintains automation and analytics solutions using Power Apps, Power BI, Tableau, Alteryx, and Azure DevOps to streamline banking operations and improve client service.
Senior Software Engineer / Senior AI Engineer
Build and ship production-grade AI features as part of a cross-functional squad, designing RAG pipelines, agent workflows, and retrieval systems to integrate LLMs into enterprise workflows.
QA Engineering Lead
Lead Finnair’s quality engineering strategy, shifting from manual testing to automated, AI-assisted QA across its large e-commerce platform and customer-facing systems.
Software Engineer, Early in Career (Cracow, Poland)
Builds full-stack features and maintains business-critical apps for Cisco’s internal tools using TypeScript, React, Python, and REST APIs, with a security-first approach.
Data Scientist: AI Engineer
Build and deploy scalable ML systems, moving models from experimentation to production while implementing MLOps practices and ensuring model reliability.
Data Product Analyst - India
Data Product Analyst builds and governs clinical data assets as high-quality products, ensuring reliability and scalability for AI and analytics systems in a regulated life-sciences CRO.
Senior Site Reliability Engineer - CLO
Builds and operates scalable microservices, cloud infrastructure, and AI-enabled developer tooling to ensure reliable, secure software delivery at a fintech company.
Senior DevOps Engineer
Build and maintain production-grade Azure Kubernetes (AKS) clusters, automate CI/CD pipelines with Terraform, and ensure high availability and security for cloud-native applications.
Principal Software Engineer
Principal Software Engineer defines and evolves platform architecture, drives best practices, and mentors teams to build scalable B2B SaaS solutions across Java, cloud providers, and modern frontends.
Software Engineer III - Cloud Data Platform (AWS/Databricks, Terraform)
Build and maintain a secure, scalable cloud data platform on AWS and Databricks using Terraform and Python, enabling reliable analytics for JPMorganChase’s enterprise workloads.
Lead Software Engineer - AI/ML Lead Software Engineer
Lead AI/ML engineer at JPMorganChase building secure, scalable ML systems for home lending servicing, including pipelines, inference, monitoring, and MLOps while driving adoption of enterprise AI-assisted engineering practices.
Specialist, Data Streaming Platform Engineer
Build and scale Merck’s enterprise data streaming platform using Confluent Cloud Kafka, Databricks Structured Streaming, and Delta Live Tables, while optimizing performance, cost, and automation.
Senior Cloud Platform Engineer
Designs and maintains secure, scalable cloud platforms and automation for a utility company, using IaC, Kubernetes, and observability tools to modernize infrastructure.
Senior Full Stack Developer (Hybrid/On-Site)
Senior Full Stack Developer modernizes and maintains Census Bureau applications using Python, JavaScript, and PostgreSQL, while migrating legacy systems to RHEL 10 on bare-metal infrastructure.
ML Data Engineer
Build and maintain ML infrastructure and pipelines that power eBay’s ranking, recommendations, and personalization systems using Python, AWS, and Databricks.
Lead .NET Full Stack Engineer
Lead a team to design, build, and maintain enterprise .NET web apps and distributed systems using C#, .NET Core, and modern JavaScript frameworks, deploying to Azure or AWS.
ML Infrastructure Engineer
Design and operate GPU clusters, distributed training frameworks, and scheduling systems to power large-scale AI workloads with a focus on reliability, efficiency, and cost control.