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A junior C++ developer joins Options' Market Data division in Cambridge to build and maintain low latency trading platforms across the full development lifecycle. Core stack: C++ with STL/Boost, Linux/Unix, BASH/Perl/Python scripting, and Agile practices with TDD and CI/CD.
Junior Java developer at LMAX, a high-performance, ultra-low-latency financial exchange in London. Day to day involves pair programming on a distributed, event-driven core Java stack (MySQL, Kafka), with some Vue.js frontend, Python data analytics, and Kubernetes/Nomad deployment in a strong continuous-delivery culture.
Junior Java developer at LMAX, an ultra-low-latency financial exchange built in core Java. Day to day involves pair programming and working across the stack: distributed, event-driven Java backends with MySQL and Kafka, Vue.js frontends, and Kubernetes/Nomad deployment, within a strong CI/continuous-delivery culture.
Senior Python Engineer at a hedge fund's commodities trading business in London, building research infrastructure, real-time event-driven trading platforms, and distributed data systems. Core stack includes Python with Docker, Kubernetes, Kafka, MongoDB, and quantitative libraries like NumPy and PyTorch.
First developer hire on a systematic hedge fund's options and volatility desk in Central London, building Python infrastructure and tooling that quant researchers and traders use for investment decisions. Core stack is Python with cloud-native exposure to AWS and Kubernetes; role is onsite 5 days per week.
Python engineer at an algorithmic trading firm specialising in digital assets, building core systems used across trading, quantitative research and operations. Requires 2+ years of Python and Linux experience, with C++ and an interest in finance or crypto seen as a plus.
Principal engineer at Lumen (CenturyLink) serving as the technical authority for MuleSoft-based enterprise integrations and Salesforce-connected systems — designing API-led connectivity, orchestration, and event-driven patterns, and setting API and engineering standards. Remote (work from home) within the US; core stack is Salesforce, MuleSoft Anypoint, and RAML/OpenAPI-driven APIs.
Ayr Energy (posted via 3one4 Capital) is hiring a Senior Software Engineer in the US to build large-scale distributed systems, data pipelines, APIs, and UIs that connect the whole organization, including LLM orchestration, RAG pipelines, and enterprise integrations. Core stack includes Kafka, Docker/Kubernetes, and Datadog/CloudWatch.
A VP-level, individual-contributor Product Design (Principal Architect) role at Slack within Salesforce, based in SoMa, San Francisco. The person would lead hands-on product design work for Slack's user experience; the truncated posting provides no further specifics on tools or day-to-day duties.
Security engineer at SpaceX's Bastrop, TX site designing cryptographic services and implementing security features across Starlink hardware — routers, dishes, gateways, and satellites. Day to day involves hardening systems and collaborating with engineers globally; core focus areas are security software development, OS security, and cryptography.
Pre-sales cybersecurity solution consultant at Belden who designs and validates secure network solutions for converged IT/OT environments — running discovery, demos, workshops, PoCs, and customer assessments (IEC 62443, NIST) with vendors like Claroty, Nozomi, Palo Alto Networks, Fortinet, and Cisco. Requires 50%+ travel.
At WD (Biñan, Philippines), this engineer automates inspection data collection, analyzes manufacturing yield trends, and builds real-time dashboards to enable data-driven factory decisions, while collaborating with manufacturing, automation, and vendors on digital transformation and inspection algorithms.
Integration Support engineer at Sirion who assists with enterprise application integrations, troubleshooting, and API-based workflows using REST, JSON, XML, and SOAP, configuring them on ESB/iPaaS platforms, with exposure to Workato, NiFi, and MuleSoft in a fast-paced SaaS environment.
Cybersecurity analyst at Optum (UnitedHealth Group) focused on data protection: deploying and tuning DLP, triaging alerts from DLP/UEBA/CASB/SIEM, and investigating insider threats and data exfiltration for healthcare clients. Involves forensics and evidence handling, cross-team investigations, reporting, and scripting/AI-driven automation.
Leads Pfizer's AI data engineering team, owning end-to-end delivery of AI-ready data products from requirements through production. Day to day involves architecting reusable data/model pipelines, setting CI/CD and quality standards, and mentoring engineers, using Python, SQL, Snowflake, AWS/Azure, and Docker/Kubernetes.
Design and operate data pipelines for AI workflows and build API-based integrations across enterprise ERP/CRM systems, helping customers extract and load data into Aptean's semantic layer. Day to day involves writing efficient SQL queries and collaborating with business analysts and stakeholders in a client-facing role.
Pfizer is hiring an AI Data Engineering and Tech Lead Director to design and lead a team delivering AI-enabled data products end to end, from user requirements to production deployment. The role involves mentoring an India-based team, partnering with global commercial stakeholders, and driving CI/CD, security, and observability standards.
Entry-level (0-1 years) data engineer role at Mahindra and Mahindra building and automating data ingestion pipelines from automotive data sources on Google Cloud (BigQuery, Dataflow, Dataproc, Cloud Storage), cleaning and modeling datasets for analytics, and partnering with data scientists and analysts.
Engineer on JPMorganChase's Workforce Technology, Employee Platforms team, designing, building, and troubleshooting secure, scalable big data pipelines on AWS. Day to day involves data integration, data analysis, and BI integration design while collaborating with distributed teams and using enterprise AI-assisted development tools.
Data engineer at Citco, a global fund services firm, building and maintaining ETL/ELT pipelines on Databricks and AWS, and migrating legacy data platforms to Databricks on AWS. Core stack: Databricks (Delta Lake, DLT, Unity Catalog), Spark/PySpark, SQL, Python, AWS Glue, S3.
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