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🔥 Backend Software Engineer (Remote)

Posted 1 day ago

📍 United Kingdom, Ireland

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems).
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
Solid understanding of distributed systems and scalability challenges.
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

💡 Responsibilities

Design, develop, document, test, deploy, maintain, and enhance large scale services.
Take ownership and be accountable for deliverables.
Triage system issues and debug by analyzing the sources of issues and the impact on service operations.
Mentor other engineers on web and backend engineers on use of our feature services.
Constantly re-evaluate our products to improve architecture, testing coverage, knowledge models, user experience, performance, observability and stability.
Partner with product teams in understanding their needs, work with PM to document the new requirements, and implement those new features within our feature services

AWS Backend Development Python Software Development Git Kafka Kubernetes Algorithms API testing Cassandra Data Structures Go Postgres Redis CI/CD RESTful APIs Linux DevOps Microservices Software Engineering

Posted 1 day ago

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🔥 Data Engineer (m/f/d)

Posted 1 day ago

📍 Germany

🧭 Full-Time

🏢 Company: Roadsurfer👥 501-1000💰 $5,330,478 almost 4 years agoLeisure Rental Tourism Recreational Vehicles

🔧 Requirements

Experience with Segment, Braze, or similar CDP/CEP platforms
Basic knowledge of data transformation tools
Familiarity with data governance practices, such as data ownership, naming conventions, and data lineage
Experience implementing data privacy measures such as consent tracking and anonymization
Familiarity with data quality metrics and monitoring techniques
Understanding of data privacy regulations (GDPR, CCPA)
Good communication skills, with the ability to work with cross-functional teams and stakeholders

💡 Responsibilities

Ensure reliability through automated tests, versioned models, and data lineage
Assist in implementing data governance policies to ensure data consistency, quality, and integrity across the CDP and CEP platforms
Support the automation of data validation and quality checks, including schema validation and data integrity monitoring
Help define and track data quality metrics and provide regular insights on data cleanliness and health
Assist in ensuring compliance with data privacy regulations (e.g., GDPR, CCPA), including implementing consent tracking and anonymization measures
Work with cross-functional teams to standardize data definitions, naming conventions, and ownership practices
Help maintain data cleanliness through automated data cleanup processes and identify areas for improvement
Support the analytics team by ensuring data is structured correctly for reporting and analysis

SQL Apache Airflow ETL Data engineering Postgres RESTful APIs Compliance JSON Data visualization Data modeling Data analytics Data management

Posted 1 day ago

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🔥 Technical Support Manager - EMEA/APAC

Posted 2 days ago

📍 Spain, Ireland, Portugal

🧭 Full-Time

🔍 Software Development

🏢 Company: Timescale👥 101-250💰 $110,000,000 Series C over 3 years agoDatabase Computer Information Services Software

🔧 Requirements

Proven experience managing technical support teams, particularly with developer tools, databases (Postgres or similar), cloud services, and/or AI-driven products.
Possess strong technical expertise in Postgres databases, cloud platforms (AWS, Azure, Google Cloud Platform), and ideally familiarity with containerization and AI technologies.
Are comfortable diving deeply into technical troubleshooting and effectively guiding your team through complex scenarios involving databases, performance tuning, and cloud infrastructure.

💡 Responsibilities

Leading, managing, and mentoring a globally distributed Technical Support team providing support across databases, cloud infrastructure, and AI products in EMEA and APAC regions.
Ensuring timely and high-quality responses to customer technical inquiries, especially involving complex issues with Postgres databases, Timescale products, cloud deployments, and related technologies.
Collaborating effectively with Engineering, Product, and Customer Success teams to escalate and prioritize critical product-specific issues.

AWS Leadership PostgreSQL Cloud Computing People Management Postgres Communication Skills Customer service Mentoring Troubleshooting Team management Technical support Customer Success

Posted 2 days ago

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🔥 Senior Go Developer

Posted 2 days ago

📍 Europe

🔍 Bitcoin

🏢 Company: Relai

🔧 Requirements

5+ years of professional experience in a similar backend development role, with a strong focus on building scalable systems.
3+ years of hands-on experience with Go (Golang), demonstrating proficiency in writing clean, efficient, and maintainable code.
A strong preference for simple, iterative solutions, with a commitment to continuous improvement and optimization.
An obsession with maintainable, high-quality code, adhering to best practices and ensuring long-term sustainability.
A self-starter mindset, capable of working independently and delivering results with minimal supervision.
Proven experience in API development, including designing and maintaining RESTful or gRPC interfaces.
Familiarity with CI/CD pipelines and tools to streamline development and deployment workflows.
Experience working in an agile environment, embracing collaboration, feedback, and iterative progress.
Solid knowledge of cloud and microservice design patterns, with an understanding of distributed systems architecture.

💡 Responsibilities

Design, develop, and maintain high-quality backend microservices using Go, ensuring scalability, reliability, and performance.
Collaborate closely with cross-functional teams, including product managers, DevOps engineers, and QA/test engineers, to deliver robust and well-tested solutions.
Participate in code reviews and audits, providing constructive feedback to maintain high standards of code quality and best practices.
Optimize application performance, ensuring efficient use of resources and minimal latency in production systems.
Contribute to architecture decisions, participating in the design of distributed systems and ensuring the system's modularity and maintainability.
Implement and maintain APIs, ensuring seamless communication between services and external systems.
Troubleshoot and resolve issues, debugging production-level problems quickly and effectively.
Stay up to date with Go best practices, new tools, and industry trends, and share knowledge with the team.

Backend Development Docker SQL Agile Cloud Computing Design Patterns Software Architecture Go gRPC Postgres CI/CD RESTful APIs Microservices

Posted 2 days ago

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🔥 Staff Data Architect

Posted 2 days ago

📍 United States

💸 166500.0 - 245000.0 USD per year

🔍 Software Development

🔧 Requirements

Minimum 8+ years of experience working with high volume data infrastructure, including 3+ years in data architecture roles
Proven experience designing and implementing enterprise-wide data architectures and frameworks
Strong experience with Databricks, AWS, dbt, ETL and Job orchestration tooling
Extensive experience programming in one of the following languages: Python / Java
Deep expertise in data modeling, optimizing SQL queries, and system performance tuning
Proficiency with SQL, AWS, Databases, Apache Spark, Spark Streaming, EMR, and Kinesis/Kafka
Experience implementing AI/ML solutions within data infrastructure
Experience with data security, role-based access control, and PII management
Experience working with freemium models, tiered subscriptions, Subscription Billing Systems (Apple, Google, Recurly, Chargebee), integrations with systems like NetSuite Financials
Experience in modern development lifecycle including Agile methodology, CI/CD, automated deployments using Terraform, GitHub Actions etc.
Strong knowledge of the latest open source and data frameworks, modern data platform tech stacks and tools
Excellent communication skills with the ability to work independently and lead technical discussions
BS in Computer Science, Software Engineering, Mathematics, or equivalent experience

💡 Responsibilities

Design and implement enterprise-wide data architecture strategies that align with business objectives and technical requirements
Develop reusable frameworks and tools that accelerate development time for the entire data engineering team
Architect scalable data warehouse solutions that support our growing data volumes while maintaining performance
Create and maintain data modeling standards and best practices for the organization
Design, implement, and manage scalable data processing platforms used for real-time analytics and exploratory data analysis
Manage our financial data from ingestion through ETL to storage and batch processing
Architect and develop systems and algorithms for distributed real-time analytics and data processing
Lead the integration of AI and machine learning capabilities into our data infrastructure to accelerate initiatives and improve automation
Design and implement comprehensive role-based access control systems for data assets
Develop frameworks and processes for PII management and data privacy compliance
Establish data governance policies and ensure their implementation across the organization
Define Data Contracts and Catalog to create a “Data First” environment and normalization of data usage and terminology throughout the organization
Work to establish policies and norms for data quality pipelines and procedures to ensure data lineage and trust.
Create and maintain documentation for data security protocols and access management
Mentor junior engineers, imparting best practices and institutionalizing efficient processes
Collaborate with finance and analytics teams while applying best practices
Evaluate and recommend new technologies and frameworks to improve our data architecture
Lead technical discussions and architecture reviews with stakeholders across the organization

AWS Python SQL Agile Bash ETL Java Kafka Machine Learning Data engineering Postgres REST API CI/CD DevOps Terraform Data modeling

Posted 2 days ago

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🔥 Engineering Manager - Patient Outcomes (Remote)

Posted 2 days ago

📍 United States

🧭 Full-Time

🔍 Mental Healthcare

🏢 Company: Rula👥 251-500💰 Series C 11 months agoPersonal Health Mental Health Addiction Treatment Health Insurance Wellness Health Care Home Health Care

🔧 Requirements

8+ years of professional engineering experience.
At least 5 years of full time IC work and at least 3 years of hands on people management experience.
Experience working cross-functionally with strong interpersonal and communication skills.
Experience in building highly scalable, reliable, available, and performant systems.

💡 Responsibilities

Guide a team of Product Engineers to deliver features that improve clinical outcomes for our patients and ensure they get the best care possible.
Define strategy and roadmaps for this team and understand the pain points of our customers.
Set technical direction and ensure technical quality for your team.

AWS Backend Development Leadership Project Management Software Development SQL Design Patterns Java People Management Software Architecture Spring Boot Cross-functional Team Leadership API testing Postgres Communication Skills CI/CD Agile methodologies RESTful APIs Mentoring Microservices Excellent communication skills Data modeling NodeJS Data management

Posted 2 days ago

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🔥 Staff Data Engineer

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 230000.0 USD per year

🔍 Daily Fantasy Sports

🔧 Requirements

7+ years of experience in a data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
3+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
Extensive experience building and optimizing cloud-based data streaming pipelines and infrastructure.
Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale distributed data processing and model training.
Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Materialize, AlloyDB, etc
Replication/ELT services: Data Stream, Hevo, etc.
Data Transformation services: Spark, Dataproc, etc
Scripting languages: SQL, Python, Go.
Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine etc.
Data Processing and Messaging Systems: Kafka, Pulsar, Flink
Code version control: Git
Data pipeline and workflow tools: Argo, Airflow, Cloud Composer.
Monitoring and Observability platforms: Prometheus, Grafana, ELK stack, Datadog
Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager.
Other platform tools such as Redis, FastAPI, and Streamlit.
Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams
Graduate degree in Computer Science, Mathematics, Informatics, Information Systems or other quantitative field

💡 Responsibilities

Enhance the capabilities of our existing Core Data Platform and develop new integrations with both internal and external APIs within the Data organization.
Develop and maintain advanced data pipelines and transformation logic using Python and Go, ensuring efficient and reliable data processing.
Collaborate with Data Scientists and Data Science Engineers to support the needs of advanced ML development.
Collaborate with Analytics Engineers to enhance data transformation processes, streamline CI/CD pipelines, and optimize team collaboration workflows Using DBT.
Work closely with DevOps and Infrastructure teams to ensure the maturity and success of the Core Data platform.
Guide teams in implementing and maintaining comprehensive monitoring, alerting, and documentation practices, and coordinate with Engineering teams to ensure continuous feature availability.
Design and implement Infrastructure as Code (IaC) solutions to automate and streamline data infrastructure deployment, ensuring scalable, consistent configurations aligned with data engineering best practices.
Build and maintain CI/CD pipelines to automate the deployment of data solutions, ensuring robust testing, seamless integration, and adherence to best practices in version control, automation, and quality assurance.
Experienced in designing and automating data governance workflows and tool integrations across complex environments, ensuring data integrity and protection throughout the data lifecycle.
Serve as a Staff Engineer within the broader PrizePicks technology organization by staying current with emerging technologies, implementing innovative solutions, and sharing knowledge and best practices with junior team members and collaborators.
Ensure code is thoroughly tested, effectively integrated, and efficiently deployed, in alignment with industry best practices for version control, automation, and quality assurance.
Mentor and support junior engineers by providing guidance, coaching and educational opportunities
Provide on-call support as part of a shared rotation between the Data and Analytics Engineering teams to maintain system reliability and respond to critical issues.

Leadership Python SQL Cloud Computing ETL GCP Git Kafka Kubernetes Airflow Data engineering Go Postgres REST API Spark CI/CD Mentoring DevOps Terraform Data visualization Data modeling Scripting

Posted 3 days ago

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🔥 Software Engineer- API Platform

Posted 3 days ago

📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Sift👥 251-500💰 Secondary Market over 3 years agoFraud Detection Big Data Predictive Analytics Analytics Network Security

🔧 Requirements

Strong knowledge of data structures, distributed algorithms, and asynchronous architectures
Experience designing and maintaining scalable public APIs
Extensive experience using large-scale NoSQL databases like Bigtable, HBase or Cassandra
Familiarity with setting up, managing, and deploying to the cloud (e.g. AWS/GCP)

💡 Responsibilities

Build highly scalable, distributed services that can handle hundreds of millions of events per day.
Partner with product management to help scope and shape project requirements.
Implement engineering solutions to address complex customer needs at scale.
Collaborate with other engineers within the API Platform team as well as across other engineering teams.
Help evolve and improve our engineering practices.
Document and demonstrate solutions by developing documentation, flowcharts, diagrams, code comments and maintain good code hygiene.

Backend Development Cloud Computing GCP Java Kafka Kubernetes Algorithms API testing Data Structures gRPC Postgres REST API Nosql Communication Skills Collaboration Microservices Software Engineering

Posted 3 days ago

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🔥 Staff Data Engineer

Posted 4 days ago

📍 United States, Canada

🧭 Full-Time

💸 158000.0 - 239000.0 USD per year

🔍 Software Development

🏢 Company: 1Password

🔧 Requirements

Minimum of 8+ years of professional software engineering experience.
Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages.
In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies.
Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing.
Experience with Big Data query engines such as Hive, Presto, Trino, Spark.
Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

💡 Responsibilities

Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience.
Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages.
Build scalable data pipelines using best-in-class software engineering practices.
Develop optimal data models for storage and retrieval, meeting critical product and business requirements.
Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security.
Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services.
Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions.
Influence and evangelize high standard of code quality, system reliability, and performance.

AWS Python SQL ETL GCP Java Kubernetes MySQL Snowflake Algorithms Apache Kafka Azure Data engineering Data Structures Postgres RDBMS Spark CI/CD RESTful APIs Mentoring Scala Data visualization Data modeling Software Engineering Data analytics Data management

Posted 4 days ago

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🔥 Senior Software Engineer (Remote - Canada)

Posted 4 days ago

📍 Canada, U.S.

💸 175000.0 - 210000.0 USD per year

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed over 2 years agoInternet

🔧 Requirements

4+ years of professional software engineering experience, preferably with production cloud-based data systems
Strong proficiency in Python and experience writing scalable, readable, and tested production code
Proven success designing and deploying large-scale systems
Demonstrated ability to take ownership of projects and deliver iterative, high-impact solutions
Effective communication skills with both technical and non-technical stakeholders
Intellectual curiosity and eagerness to learn about mineral exploration and geology
Comfortable in a dynamic, startup environment and motivated by business-focused product development

💡 Responsibilities

Collaborate closely with geologists and data scientists to develop software solutions aligned with exploration needs
Build and maintain data pipelines and tools to enable machine and human insights from exploration data
Lead small teams on key projects and ensure successful delivery from design through implementation
Own project lifecycles, from planning to deployment and post-launch support
Enhance the accessibility, usability, and integration of geospatial and geological data systems
Participate in design/code reviews, give feedback, and improve system reliability and maintainability
Support operational management of services and empower scientific colleagues through software tooling

AWS Backend Development Docker Python Software Development SQL Agile Cloud Computing Data engineering Postgres REST API CI/CD Data modeling

Posted 4 days ago

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