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🔥 Senior Data Engineer (R&D team)

Posted 2 days ago

📍 Poland, Ukraine, Cyprus

🧭 Full-Time

🔍 Software Development

🏢 Company: Competera👥 51-100💰 $3,000,000 Seed about 1 year agoArtificial Intelligence (AI)Big Data E-Commerce Retail Machine Learning Analytics Retail Technology Information Technology Enterprise Software Software

🔧 Requirements

5+ years of experience in data engineer role.
Strong knowledge of SQL, Spark, Python, Airflow, binary file formats.

💡 Responsibilities

Contribute to the development of the new data platform.
Collaborate with platform and ML teams to create ETL pipelines that efficiently deliver clean and trustworthy data.
Engage in architectural decisions regarding the current and future state of the data platform.
Design and optimize data models based on business and engineering needs.

Python SQL ETL Kafka Airflow Spark Data modeling

Posted 2 days ago

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🔥 Staff, Machine Learning Engineer (L4)

Posted 2 days ago

📍 India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

7+ years of applied ML experience.
Proficiency in Python, Java or Golang is preferred.
Extensive experience in feature engineering and developing data-driven frameworks that enhance identity matching algorithms.
Strong background in the foundations of machine learning and building blocks of modern deep learning
Deep understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
Experience with big data technologies like Apache Spark or Hadoop, and familiarity with cloud platforms (AWS, Azure, Google Cloud) for scalable data processing.
Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring.
Experienced with modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar
Experience working in an agile team environment with changing priorities
Experience of working on AWS

💡 Responsibilities

Design, implement, and refine machine learning models that improve the precision and recall of identity resolution algorithms.
Develop and optimize feature engineering methodologies to extract meaningful patterns from large and complex datasets that enhance identity matching and unification.
Develop and maintain scalable data infrastructure to support the deployment and training of machine learning models, ensuring that they run efficiently under varying loads.
Build and maintain scalable machine learning solutions in production
Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness
Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed
Ensure high standards of operational excellence by implementing efficient processes, monitoring system performance, and proactively addressing potential issues.
Drive engineering best practices around code reviews, automated testing and monitoring

AWS Python DynamoDB Hadoop Kafka Machine Learning PyTorch Algorithms Data engineering Tensorflow

Posted 2 days ago

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🔥 Site Reliability Engineering Manager

Posted 2 days ago

📍 United Kingdom

🏢 Company: careers_gm

🔧 Requirements

Proficiency in at least one programming language (e.g., Python, Go, Java) and familiarity with multiple language ecosystems.
Solid understanding of operating systems, networking, distributed systems, databases, and storage architectures.
Deep understanding of how code runs on underlying hardware, including operating systems, algorithms, and data structures. Ability to optimize or troubleshoot code by understanding its execution and the impact on system resources.
Experience handling production incidents, including root cause analysis, mitigation, and working through complex system failures.
Strong communication skills, with an ability to explain technical concepts to both engineering and business stakeholders. Commitment to collaborative problem-solving and shared ownership of services.
Proven experience in automating manual processes, building deployment pipelines, or managing configuration systems

💡 Responsibilities

Develop tools and software to automate operational processes, improve system reliability, and reduce manual intervention.
Lead, Implement and improve monitoring and observability frameworks, enabling proactive detection and resolution of incidents.
Participate in an on-call rotation to diagnose, troubleshoot, and mitigate production incidents, ensuring minimal downtime and swift resolution.
Work alongside developers to ensure the quality, scalability, and reliability of our services. Practice shared ownership of services in production, fostering a "You build it, you run it" culture.
Manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to manage reliability expectations effectively.
Strong understanding of common application reliability patterns, with hands-on experience implementing them.
Conduct deep-dive analyses of incidents and collaborate on post-incident reviews to derive learnings and prevent recurrence. Champion a culture of continuous improvement.
Evaluate system performance and advocate for optimisations that reduce infrastructure costs while maintaining service reliability.

AWS Backend Development Docker PostgreSQL Python SQL Cloud Computing GCP Java Java EE Jenkins Kafka Kubernetes Spring Boot Spring MVC Zabbix Algorithms Azure Data Structures Go Grafana Java Spring Prometheus RDBMS CI/CD RESTful APIs Linux DevOps Terraform Microservices Networking Ansible Scripting Debugging

Posted 2 days ago

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🔥 Senior Erlang Engineer

Posted 3 days ago

📍 Argentina, Colombia, Mexico

🧭 Full-Time

💸 4000.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Más de 5 años de experiencia desarrollando con Erlang/OTP.
Experiencia en sistemas backend de alta concurrencia y baja latencia.
Sólidos conocimientos en arquitectura de software distribuido.
Experiencia con Redis, Kafka o RabbitMQ.
Integración de protocolos como TCP, UDP, SCTP, WebSockets y gRPC.
Experiencia en contenedores (Docker) y administración de entornos Linux.
Conocimiento en monitoreo y optimización de sistemas distribuidos.
Capacidad de resolución de problemas complejos en entornos concurrentes.

💡 Responsibilities

Diseñar y desarrollar sistemas backend robustos, escalables y tolerantes a fallos utilizando Erlang/OTP.
Aplicar principios arquitectónicos para garantizar eficiencia, concurrencia y resiliencia.
Diseñar e implementar mecanismos de mensajería y eventos con Redis, Kafka y RabbitMQ.
Optimizar la gestión de procesos en Erlang, asegurando el uso eficiente de recursos.
Implementar arquitecturas basadas en actor model, message passing y event-driven.
Integrar protocolos como WebSockets, TCP, UDP, gRPC o SCTP.
Mantener y mejorar entornos con Docker y Linux.
Participar en arquitecturas distribuidas con Kubernetes (deseable).
Realizar pruebas de carga y diagnósticos de rendimiento.
Colaborar con equipos de infraestructura y DevOps para mejorar despliegues y disponibilidad.
Documentar arquitecturas y decisiones técnicas.

Backend Development Docker Erlang Kafka Kubernetes Rabbitmq Software Architecture gRPC Redis CI/CD Linux Microservices

Posted 3 days ago

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🔥 Sr. Full Stack Software Engineer

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 72700.0 - 145400.0 USD per year

🔍 Software Development

🏢 Company: careers

🔧 Requirements

5+ years of roven experience as a full-stack developer, with a focus on performance, scalability, and integration.
5+ years of experience in PHP, .NET Core, Entity Framework
Extensive Experience with the following AWS services & technologies: S3, DynamoDB, OpenSearch, RDS, Kinesis Firehose, AWS Lambda, MQTT, Kafka.

💡 Responsibilities

Develop, maintain, and enhance our existing web application written primarily in PHP and C# .NET.
Design and implement APIs and microservices to support new features and integrations, focusing on scalability and performance.
Collaborate with product managers to translate design mockups into responsive and intuitive frontend UIs.
Ensure the reliability, security, and scalability of the application by leveraging cloud services such as AWS, Azure, and Google Cloud.
Implement best practices for code quality, testing, and deployment automation across both frontend and backend components.
Provide technical guidance and mentorship to junior members of the team.

AWS Backend Development Docker PHP Software Development SQL Agile Cloud Computing DynamoDB Frontend Development Full Stack Development Git HTML CSS Javascript Kafka C#API testing .NET Angular React Communication Skills CI/CD Problem Solving RESTful APIs Mentoring Microservices JSON

Posted 3 days ago

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🔥 Executive Vice President of Technology

Posted 3 days ago

📍 United States

🧭 Full-Time

🏢 Company: Serv Recruitment Agency

🔧 Requirements

Proven CTO or senior tech leadership in a high-growth company (ideally $500M+ valuation), scaling transaction volumes from thousands to tens of thousands per hour.
Hands-on experience with trading platforms (preferably futures), strongly preferred, including risk management, order execution, and real-time data systems.
Deep expertise in building high-performance, scalable architectures focused on high frequency transactions, high availability, and low latency.
Knowledge of C# (C Sharp)—our platform’s core language.
Advanced knowledge of code architecture for high-transaction systems and API integrations.
Experience with cloud architectures (e.g., AWS, GCP, Azure) and containerization (e.g., Kubernetes).
Skilled in API design, third-party orchestration, and resolving integration bottlenecks.
Track record of recruiting and leading technical teams (engineers, DevOps, etc.), with flexibility to build globally or in the US.

💡 Responsibilities

Define and execute the technical strategy to scale the global near real-time trading platform, ensuring high availability and low latency.
Recruit, expand and lead an in-house digital, AI and technology team (engineers, DevOps, QA, etc.), choosing the structure and location (US or global) to support scaling.
Partner with the leadership team to integrate, modernize and further enhance the security of our platform and tech landscape..
Design a scalable, cloud-based architecture using AWS, GCP, or Azure.
Implement event-driven architecture with Kafka, AWS or other tools for real-time processing.
Optimize microservices architecture, ensuring modularity, security, and performance.
Define and enforce API design best practices for high-performance integrations.
Implement high-availability and fault-tolerant solutions with multi-region cloud deployments.
Leverage containerization (Docker, Kubernetes, etc) to enhance system orchestration and resilience.
Drive serverless computing adoption for event-driven processing.
Optimize distributed caching strategies
Enforce real-time data processing
Stress-test the platform, establish SLAs, and implement monitoring for low-latency, high-throughput operations.
Articulate the technical strategy to stakeholders, supporting valuation and partnership goals.

AWS Backend Development Docker SQL Cloud Computing Kafka Kubernetes Software Architecture C#RESTful APIs DevOps Microservices

Posted 3 days ago

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🔥 Senior Software Engineer

Posted 3 days ago

📍 India

🔍 Software Development

🏢 Company: YipitData👥 251-500💰 Debt Financing 10 months agoMarket Research Analytics Data Visualization

🔧 Requirements

Bachelor's degree in Computer Science, or related majors, 5+ yrs backend experience.
Solid computer foundation and programming skills, familiar with common data structures and algorithms.
Excellent in one of the following languages: Go/Python/C/C++/Java.
Familiar with one of open source components: Mysql/PostgreSQL/Redis/Kafka/ElasticSearch/Message Queue/Nosql.
Experience in architecture and developing large-scale distributed systems.
Exposure to cloud infrastructure, such as kubernates/docker, Azure/AWS/GCP.
Familiarity with ERP systems.

💡 Responsibilities

Implement connectors to fetch ERP data.
Implement or upgrade backend APIs
Take charge of the ERP system’s data storage.
Design technical solutions
Maintain existing services
Work with US/SG/China teams

AWS Backend Development Docker PostgreSQL Python Software Development SQL Cloud Computing ElasticSearch GCP Java Kafka Kubernetes MySQL C++Algorithms Data engineering Data Structures Go REST API Redis Communication Skills Analytical Skills CI/CD Problem Solving Agile methodologies RESTful APIs Linux DevOps Microservices Excellent communication skills Data visualization Data modeling Scripting Data analytics Data management Debugging

Posted 3 days ago

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🔥 Sr Software Engineer

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Lirio👥 51-100💰 $3,000,000 Debt Financing over 2 years agoArtificial Intelligence (AI)Machine Learning Information Technology Health Care

🔧 Requirements

5+ years developing secure, scalable, enterprise systems using Spring Boot and Java
Proficiency in at least one other programming language (e.g., TypeScript, Python, or C#), and demonstrated ability to quickly learn new technology stacks and deliver production-ready solutions in a timely manner
Strong Kubernetes experience as a developer, deployer and supporter of workloads
Knowledge of distributed systems of micro-services running on cloud infrastructure
Experience with Reliability Engineering, SRE, custom metrics, and some observability platform
System design ability: can break ambiguous problem statement into concrete requirements and craft an architecture and design that satisfies them
Desire to innovate, grow, and make a difference in the world by working with modern technology and a great team to achieve worthwhile healthcare goals

💡 Responsibilities

Design, implement, test and deploy production application software as a strong technical contributor
Write exemplary clean and maintainable code with appropriate tests
Collaborate with other engineers by sharing knowledge and leading by example in terms of software craftsmanship and modeling a culture of collaboration and respect
Review code and design contributions from others, promoting readability and maintainability
Support and improve Lirio’s engineering practices including an emphasis on quality and security
Document architectural decisions, solution designs, processes, and best practices
Contribute to the quality culture including performing test planning and execution
Pursue technology and process innovations aimed at resiliency, increased security, developer experience, increased efficiency, and reduced cost
Assist in project planning, estimation, story refinement, and internal demos
Implement and support build & CI pipeline engineering efforts as needed
Provide production system support on a rotating schedule
Contribute to and pick up projects built with unfamiliar technologies in a timely and productive manner as needed or required
Pursue continuous learning through individual study, online courses, product documentation, and community resources to bring innovation to the technical organization

AWS Backend Development SQL Java Kafka Kubernetes Spring Boot CI/CD RESTful APIs Microservices Software Engineering

Posted 3 days ago

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🔥 Sr. Data Engineer (GC25001)

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 150363.0 - 180870.0 USD per year

🔍 Software Development

🏢 Company: phData👥 501-1000💰 $2,499,997 Seed about 7 years agoInformation Services Analytics Information Technology

🔧 Requirements

At least a Bachelors Degree or foreign equivalent in Computer Science, Computer Engineering, Electrical and Electronics Engineering, or a closely related technical field, and at least five (5) years of post-bachelor’s, progressive experience writing shell scripts; validating data; and engaging in data wrangling.
Experience must include at least three (3) years of experience debugging data; transforming data into Microsoft SQL server; developing processes to import data into HDFS using Sqoop; and using Java, UNIX Shell Scripts, and Python.
Experience must also include at least one (1) year of experience developing Hive scripts for data transformation on data lake projects; converting Hive scripts to Pyspark applications; automating in Hadoop; and implementing CI/CD pipelines.

💡 Responsibilities

Design, develop, test, and implement Big Data technical solutions.
Recommend the right technologies and solutions for a given use case, from the application layer to infrastructure.
Lead the delivery of compiling and installing database systems, integrating data from a variety of data sources (data warehouse, data marts) utilizing on-prem or cloud-based data structures.
Drive solution architecture and perform deployments of data pipelines and applications.
Author DDL and DML SQL spanning technical tacks.
Develop data transformation code and highly complex provisioning pipelines.
Ingest data from relational databases.
Execute automation strategy.

AWS Python SQL ETL Hadoop Java Kafka Snowflake Data engineering Spark CI/CD Linux Scala

Posted 3 days ago

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🔥 Lead Engineer – Data Export & Data Warehouse

Posted 3 days ago

📍 North America

🧭 Full-Time

🔍 Advertising

🔧 Requirements

Extensive experience with big data processing, ideally at the scale of terabytes or more.
Strong technical leadership skills with a proven ability to define and drive long-term engineering strategies.
Hybrid expertise in data engineering and software development – not just someone who runs queries, but someone who has built scalable data systems and engineering solutions.
Hands-on experience with data warehouse technologies is highly desirable.
Bonus: Familiarity with tools like Trino/Presto, Snowflake, and other modern data warehouse platforms.
Track record of building and scaling robust data pipelines and systems in production environments.
An ability to think strategically, lead technically, and inspire the team toward delivering high-impact, scalable solutions.

💡 Responsibilities

Architect scalable low-latency backend systems and data pipelines.
Lead and mentor a team of talented engineers within the backend distributed systems team
Make a positive impact on the team's productivity and growth
Promote software development best-practices and conduct rigorous code reviews
Rigorously identify and solve technical challenges
Conduct interviews to attract and identify potential high performing candidates
Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved

AWS Backend Development Docker Leadership Project Management Python Software Development SQL Cloud Computing ElasticSearch Kafka Ruby on Rails Software Architecture Algorithms Data engineering Data Structures Go Redis Nosql CI/CD Problem Solving RESTful APIs Mentoring Microservices Data visualization Team management Data modeling Data management

Posted 3 days ago

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