Support the Department of State’s Consular Affairs Enterprise Infrastructure Operations (CAEIO) program by administering and maintaining mission-critical systems.
Compensation
$66,000 - $106,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Install, configure, troubleshoot, and maintain desktop, server, and peripheral COTS/GOTS systems
Manage deployment, monitoring, and maintenance of hardware, software, and databases
Perform data and system backups, restores, and ongoing management of IT infrastructure
Coordinate and implement hardware/software upgrades, replacements, and decommissioning activities
Administer Active Directory accounts, privileges, and badge logon configurations
Support NPI engineering data automation and test time reduction efforts for Rambus memory interface chip products.
Compensation
The US hourly range for this full-time position is $25.80 to $47,80. Our salary ranges are determined by role, level and location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location and market conditions.
Responsibilities
Migrate legacy ATE NPI test data into Silicon.DA, our central NPI engineering data platform, including data cleanup, formatting, and validation of completeness and accuracy.
Collect and organize test time data from ATE test programs to support test time reduction activities.
Analyze test time and yield data by test, insertion, and product to help identify test time reduction opportunities, and summarize findings for the engineering team.
Develop scripts (e.g., Python or SQL) to automate data extraction, ingestion, and reporting.
Document data structures, workflows, and procedures so the work can be sustained after the internship.
Requirements
BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, or a related field
Nice to have: basic understanding of semiconductor devices and test concepts
Nice to have: exposure to ATE, test data formats (e.g., STDF)
Review processes and procedures followed by the Individual Insurance Actuarial Inforce and Policy Tax team
Recommend changes to processes and procedures as appropriate
Proactively recommend and, if approved, design and implement innovative solutions to enhance accuracy, streamline workflows, and drive operational efficiency
Identify gaps, omissions or activities that could expose the organisation to operational risk
Requirements
University degree, preferably in Engineering, Physics, Mathematics, or Finance
Nice to have: Knowledge of individual insurance products
Nice to have: Knowledge of Automation Suite Tools (e.g. Pyautogui, Selenium)
Lead Software Engineer responsible for the core web platform of F24’s Emergency Notification Services, mentoring a high‑performing engineering team and shaping technical direction.
Compensation
This position is paying up to €55K (Gross) annually.
Responsibilities
Lead the development of a mission‑critical platform used during real‑world emergencies and major incidents
Shape the technical direction of a modern cloud‑native platform serving thousands of organisations globally
Remain hands‑on with development whilst mentoring and growing a high‑performing engineering team
Drive engineering excellence through architecture, quality standards, and best practices
Influence product strategy and technical decision‑making across a critical business platform
Leads day‑to‑day detection and investigation of suspicious activity across Raenest's personal and business products, managing alert quality, complex investigations and suspicious activity filings.
Responsibilities
Review and resolve complex transaction monitoring alerts across accounts, transfers, cards, FX, stablecoins and investment activities.
Manage alert queues, prioritise investigations and ensure regulatory and operational turnaround times are met.
Execute real‑time payment holds, interdictions and releases where financial crime risks are identified.
Investigate money laundering, money mule networks, APP fraud, account takeover, suspicious business activities and cryptocurrency‑related risks.
Prepare and recommend suspicious activity reports (SARs/STRs) for submission to relevant financial intelligence units and partner banks.
Requirements
ACAMS (CAMS)
ICA Diploma
CFE certification
Nice to have: blockchain analytics tools (Chainalysis)
Design and improve data quality controls for Sales and Finance data products, build dashboards, embed automated checks, and partner with stakeholders to enhance data reliability.
Locations (2)
Porto, Portugal
Lisbon, Lisbon District, Portugal
Responsibilities
Design and improve data quality controls for Sales and Finance data products
Turn business rules into data quality rules, automated tests, monitoring and alerting
Build data quality dashboards, scorecards and service-level indicators
Analyse anomalies, perform root-cause analysis and coordinate remediation with data owners and source-system teams
Embed automated quality checks into data pipelines
Requirements
Degree in Computer Science, Data Engineering, Mathematics, Finance or similar
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