Senior Distributed Systems & Detection Engineer Job at Precise (Lisboa)

Senior Distributed Systems Engineer - Ad Display Platform Engineering

The Bidding Platform organization is the core of the RTB business, processing ov...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

7+ years of hands-on experience in software engineering
Proficiency in programming
Excellent understanding of how complex IT systems work (from the hardware level, through software, to algorithmics)
Very good knowledge of fundamental Internet protocols and technologies (DNS, HTTP, cookies and others)
Good knowledge of basic methods of creating concurrent programs and distributed systems (from thread level to geo-distributed clusters level)
Practical ability to observe, monitor and analyse the operation of production systems (and draw valuable conclusions from it)
The ability to critically analyze the solutions created in terms of performance (from estimating the theoretical performance of the designed systems to detecting and removing actual performance problems in production)
General knowledge of issues (typical problems and methods of solving them) in the areas of 'high scalability' and 'high availability'
C1 level in English and Polish

Job Responsibility

Implement and maintain (in all aspects, including setting up environment, writing configuration code, monitor production) high-quality backend services for displaying Ads globally, focusing on extreme performance and scalability
Develop tools (deployment, testing platforms, web performance and reliability monitoring), and critical optimizations to drive measurable improvements in critical user performance metrics for ad rendering and display
Write, test, and deploy robust, efficient, and well-documented code in Java/Python, ensuring adherence to the highest coding and performance standards
Participate in code reviews, knowledge sharing sessions, and help implement technical standards and best practices within the team

What we offer

Projects focused on extreme performance and high code quality – solid code reviews are our standard
Collaboration within an interdisciplinary, self-sufficient team (including DevOps, database experts, backend developers, product designers, and QA engineers)
Hardware and software tailored to your preferences (e.g., MacBook, AI tool licenses)
Flexible working conditions – no core hours, fully remote cooperation possible

Senior Distributed Systems Engineer - Platform Engineering

For our Platform Engineering team, we are looking for programmers with strong in...

Location

Poland

Salary:

Not provided

RTB House

Expiration Date

Until further notice

Requirements

Excellent understanding of how complex IT systems work - from the hardware level, through software, to algorithms
Ability to proactively define requirements, ask appropriate questions and draw conclusions that will combine technical constraints and business needs
Ability to lead the design and implementation of a solution
Experience in leading project teams
Willingness to be involved in topics that go beyond programming and design, such as responsibility for technical areas or communication with other teams
Proactive attitude, independence in taking action
Extensive experience in programming and readiness to implement key system elements as well as involvement in code reviews
Good knowledge of methods of creating concurrent programs and distributed systems
Ability to critically analyze created solutions in terms of performance (from estimating the theoretical performance of designed systems to detecting and removing actual performance problems in production)
C1 level in English and Polish

Job Responsibility

Plan and then hands-on lead further development within a given technical area like deployment, monitoring, databases or load balancing, in the context of existing infrastructure within RTB House
Coordinate the work of a project team of 3-4 people, also making arrangements with other teams and units within RTB House
Ensure the reliability and scalability of the solutions built

What we offer

Attractive compensation
Work in a team of enthusiasts who are willing to share their knowledge and experience
Flexible cooperation conditions - we do not have core hours, we do not have holiday limits
Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project

Senior Authorised Engineer-33kV

Great opportunity to join one of the biggest independent network owners in the U...

Location

United Kingdom

Salary:

60000.00 - 65000.00 GBP / Year

Hedera Hiring Ltd

Expiration Date

Until further notice

Requirements

HNC, Degree, or equivalent electrical qualifications
Thorough knowledge of electrical distribution networks and safety protocols
Experience working with IDNO and DNO networks
Senior Authorised Engineer status up to 33kV (experience up to 132kV is a plus)
Ability to manage operational activities and lead technical projects
DBS clearance is required due to site and customer access

Job Responsibility

Operate as a Senior Authorised Engineer up to 33kV, ensuring safety and compliance with distribution network standards
Manage and coordinate operational projects related to network maintenance and upgrades
Provide technical support and advice to colleagues and customers on electrical network issues
Act as a training and development mentor for team members, supporting their skills growth
Assist with the rollout of network monitoring systems to improve network visibility and fault detection
Maintain a safe, efficient, and customer-focused work environment

What we offer

Car Allowance: £5200

Fulltime

Senior Engineering Manager - Risk

Our mission is to build the intelligent, automated systems and operational tools...

Location

United States; Canada , San Francisco; New York; Portland

Salary:

239000.00 - 298800.00 USD / Year

Mercury

Expiration Date

Until further notice

Requirements

9+ years of software development experience
3–5+ years of engineering management in a high-scale tech environment
AI/ML expertise—you’ve built and launched applied AI products (from LLMs to traditional ML models), shipping them from 0→1 and scaling 1→10 in production environments
Proven success building large-scale backend distributed systems, ideally involving integrations and decision automation
Experience with or curiosity about KYC, AML, risk, or compliance systems in financial services or fintech
A track record of raising the bar for quality and reliability, balancing shipping speed with technical excellence
Strong communication and leadership skills—you can inspire engineers, partner across functions, and adapt your management style to the moment
The ability to hire, retain, and develop exceptional technical talent
A pragmatic builder’s mindset: you believe beautiful systems are those that work, adapt, and last

Job Responsibility

Lead teams (4–8 engineers each) responsible for account onboarding, KYC/KYB, AML, and fraud detection decisioning and workflows, and operational tooling
Apply AI/ML—from traditional models to large language models—to unlock faster, real-time bank account application approvals. This work sits on the critical business path, directly driving efficiency and revenue growth
Partner with Product, Risk, and Data teams to design and deliver scalable systems that balance user experience with compliance rigor
Shape the next generation of our KYC and risk platforms—reliable, resilient, and easy to extend as regulations and business needs evolve
Create a strong culture of operational excellence, with measurable improvements to uptime, accuracy, and system quality
Build, mentor, and grow engineering talent
help managers and senior engineers level up technically and organizationally
Drive clarity amid complexity: translating between regulatory nuance and technical execution
Foster collaboration across teams to align on priorities, simplify interfaces, and make the whole system more maintainable and elegant

What we offer

base salary
equity
benefits

Fulltime

Senior Data Engineer

Senior Data Engineer – Dublin (Hybrid) Contract Role | 3 Days Onsite. We are see...

Location

Ireland , Dublin

Salary:

Not provided

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

7+ years of experience as a Data Engineer working with distributed data systems
4+ years of deep Snowflake experience, including performance tuning, SQL optimization, and data modelling
Strong hands-on experience with the Hadoop ecosystem: HDFS, Hive, Impala, Spark (PySpark preferred)
Oozie, Airflow, or similar orchestration tools
Proven expertise with PySpark, Spark SQL, and large-scale data processing patterns
Experience with Databricks and Delta Lake (or equivalent big-data platforms)
Strong programming background in Python, Scala, or Java
Experience with cloud services (AWS preferred): S3, Glue, EMR, Redshift, Lambda, Athena, etc.

Job Responsibility

Build, enhance, and maintain large-scale ETL/ELT pipelines using Hadoop ecosystem tools including HDFS, Hive, Impala, and Oozie/Airflow
Develop distributed data processing solutions with PySpark, Spark SQL, Scala, or Python to support complex data transformations
Implement scalable and secure data ingestion frameworks to support both batch and streaming workloads
Work hands-on with Snowflake to design performant data models, optimize queries, and establish solid data governance practices
Collaborate on the migration and modernization of current big-data workloads to cloud-native platforms and Databricks
Tune Hadoop, Spark, and Snowflake systems for performance, storage efficiency, and reliability
Apply best practices in data modelling, partitioning strategies, and job orchestration for large datasets
Integrate metadata management, lineage tracking, and governance standards across the platform
Build automated validation frameworks to ensure accuracy, completeness, and reliability of data pipelines
Develop unit, integration, and end-to-end testing for ETL workflows using Python, Spark, and dbt testing where applicable

Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, working with large-scale distributed systems
Strong proficiency in Python, Java, or Scala for data processing
Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Job Responsibility

Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
Optimize data ingestion, transformation, and storage for high availability and cost efficiency
Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform

What we offer

Work with some of the brightest minds in the industry
Entrepreneurial culture fostering innovation, impact, and career growth
Opportunity to work on real-world logistics challenges
Collaborate with cross-functional teams across data science, engineering, and product
Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Fulltime

Senior Data Engineer

Figure is an AI Robotics company developing a general-purpose humanoid. Our huma...

Location

United States , San Jose

Salary:

140000.00 - 350000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in Computer Science, Data Engineering, or a related field
3+ years of experience in data engineering, preferably with time-series or log data processing
Proficiency in Python with experience in Pandas, Polars, or PySpark for large-scale data processing
Strong understanding of database design, indexing, and query optimization (SQL and NoSQL)
Experience handling complex data formats such as Parquet, MCAP, or protobuf
Experience building custom web based data visualization tools (JavaScript, React…)
Familiarity with data visualization tools like Grafana for real-time analysis and monitoring
Experience with distributed computing frameworks and cloud-based data storage solutions
Strong debugging skills and ability to work with lab teams to interpret robotic system logs

Job Responsibility

Develop and maintain pipelines and tools to transform robot logs to make it easier to access, visualize, and automatically detect events of interest
Optimize data processing to reduce the time needed between data offload and the availability of the data to our engineering teams
Design and optimize data storage solutions for handling complex, high-volume time-series and structured data
Build and maintain database schemas and queries to support analytics and visualization of extracted patterns
Support mechanical, electrical, software, integration and test engineers with their needs to extract and visualize data
Develop dashboards and custom data visualizations tools to enable engineers to quickly extract information from the data and track robot performance
Integrate your solutions with existing data pipelines and our robot testing framework

Fulltime

Senior Machine Learning Engineer, Personalization and Recommendations

As a Senior Machine Learning Engineer on the Personalization & Recommendations t...

Location

United States , San Francisco

Salary:

183360.00 - 248000.00 USD / Year

EdTech Jobs

Expiration Date

Until further notice

Requirements

5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection
Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real-world problems
Experience with large-scale embedding models and vector search, including FAISS, ScaNN, or similar systems
Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross-functional partners
A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

Job Responsibility

Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals and content features
Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization
Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, observability, and robust monitoring
Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
Mentor junior and mid-level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture

What we offer

20 vacation days
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
Employer-sponsored 401k plan with company match
Access to LinkedIn Learning and other resources to support professional growth
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice

Fulltime

Senior Distributed Systems & Detection Engineer

Precise

Location:
Portugal , Lisboa

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
January 12, 2026

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Additional Information:

Job Posted:January 12, 2026

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