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Conduct security research across the software lifecycle to identify cloud risks and build posture management logic, leveraging DevOps, CI/CD, IaC, and eBPF technologies.
Senior Backend Developer/Tech Lead at DriveNets will design, build, and own production systems for cloud-native networking software, working with multiple teams. Core technologies include NodeJs, Python, or Go, with experience in distributed systems and databases.
Test Engineer RF at Symlab/GCS verifies complex RF systems (jammers, receivers, direction finders, anti-drone gear): running and evaluating RF measurements on modules and systems, operating test equipment like spectrum analyzers and VNAs, coordinating qualification/environmental tests with external labs, debugging electronics, and automating tests with Python.
Hands-on architect role at Procore (Austin, TX) owning the end-to-end enterprise data platform — ingestion, warehousing, analytics, ML, and AI agents — while also writing production code and building self-service data tooling. Core stack: Snowflake/Databricks, SQL, Python, Fivetran, dbt, Airflow.
Lead engineer at Razorpay, an Indian payments fintech, building and scaling payment infrastructure and developer-facing REST APIs. Day to day: delivering features end-to-end in backend languages like PHP, Python, Django, Golang, Java, or C++, driving product and design discussions, and contributing to open source.
Manager Agentic AI Location : Prague (Hybrid); Czech Republic (Remote); UK (Remote); Ghent (Hybrid) Function : Software Engineering Reports to: Director, Packaging Intelligence About the role Esko is building Agentic…
A QA Automation Analyst at Keywords Studios in Montreal (hybrid, 2 days/week on-site) who designs, builds, and maintains automation scripts, tools, dashboards, and validation workflows for game projects. Works with Python, C++, SQL, PowerShell, Unreal Engine/Unity, and CI/CD tools like TeamCity/Jenkins.
Senior test engineer developing and owning the test strategy for the EUV control system (IO, PLC, HMI) on EtherCAT at TRUMPF Laser in Ditzingen: writing test plans/specs/cases, building HIL automated test environments, integrating automated tests into CI/CD, running integration/system/acceptance tests, and leading the test process. Core stack: Python/pytest, TwinCAT3, EtherCAT, Git/Azure DevOps.
Data Engineer at Edenred PayTech designing, building, and maintaining data pipelines and platform infrastructure on AWS and Databricks — transforming data, ensuring quality, troubleshooting production issues, and producing regulatory compliance reports using Python/PySpark and SQL. Hybrid role based in Swindon or London.
Senior SDET at Backbase in Ho Chi Minh City acting as a quality architect: driving a 'shift-left' testing strategy, building test automation into CI/CD pipelines, and applying AI-driven testing tools while mentoring engineers on TDD/BDD. Core stack: Java (mandatory) plus Python/JavaScript, Selenium/Playwright/Cypress, Jenkins/GitHub Actions.
Leads a data science team at LexisNexis building AI-powered legal drafting and retrieval tools, combining people management with hands-on technical direction over LLMs, RAG pipelines, embeddings, reranking, and evaluation. Core stack includes Python, LangChain, vector databases, and cloud ML infrastructure.
Builds and enhances Verily Workbench, a secure multi-cloud collaboration platform that lets research and biopharma organizations govern and analyze health data for precision health. Day-to-day involves designing and shipping features using Google Cloud, Go, Java, React, Terraform, and Kubernetes.
Founding, hands-on Information Security Lead at Acquisition.com who owns GRC and security operations: running ISO 27001/42001 management systems, building logging/detection/incident response, and reviewing application code, IAM, and infrastructure-as-code for risk. Core tech includes Python/TypeScript, Terraform/Pulumi, cloud IAM, CI/CD, and security controls for AI/agentic systems.
KLA's IT group in Ann Arbor is hiring a Graduate AI Engineer Intern to build AI-enabled enterprise systems: training and deploying ML models, designing RAG architectures, and building APIs, microservices, AI agents, and copilots. Open to currently enrolled graduate students or PhDs in CS or related fields.
Graduate intern on KLA's IT team in Ann Arbor building AI-enabled enterprise applications: conversational AI with LLMs, AI agents and multi-agent workflows, ML model training/deployment, and APIs/microservices exposing AI capabilities, using Python/Java/C-family languages and web frameworks.
An intern in KLA's e-Beam division (Milpitas, CA) researches and prototypes cutting-edge image-processing and machine/deep-learning algorithms for next-generation semiconductor defect-inspection products, including generative/diffusion models for SEM image simulation and image quality enhancement. Core tools: Python, TensorFlow/PyTorch, MATLAB.
Platform Engineer on the Veeam Data Cloud team, building and automating the internal developer platform and public cloud infrastructure that powers Veeam's SaaS data protection product. Day to day: writing automation code (Go, Bash, TypeScript/Python), managing Kubernetes on Azure/AWS with Terraform and Helm, plus on-call rotation.
Designs strategic, cross-functional AI solutions for Veeam's internal Corporate Technology team: defines scope and requirements with business leaders, architects scalable solutions on AWS using distributed-systems and integration patterns, and drives rollout, documentation, and adoption. Works with AI platforms, Python/Go/TypeScript, UML, and ITIL/ITSM/Agile practices.
Staff Software Engineer on the Veeam Data Cloud team, building greenfield, highly reliable SaaS microservices for data protection in Golang on Azure/AWS/GCP with Docker/Kubernetes and event-driven architectures. Also drives technical vision, leads cross-team deliverables, reviews code, and joins an on-call rotation.
Founding-level Security Engineer at AfterQuery, building the company's entire security posture from scratch — cloud/production security on GCP/AWS, scalable incident detection and response, and securing sensitive AI training-data flows — while contributing to core infrastructure in Python, Go, and TypeScript. On-site in San Francisco, 5 days a week.
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