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🔥 Site Reliability Engineer

Posted about 23 hours ago

📍 United States of America

💸 63000.0 - 108675.0 USD per year

🏢 Company: vspvisioncareers

🔧 Requirements

Bachelor’s Degree in Computer Science or related field and/or equivalent experience
4+ years of related functional experience
Experience with both Windows and Linux, as well as containerization software products
Functional with continuous integration and continuous delivery
Experience with automation and orchestration using Chef, Puppet, Ansible and containers
Coding skills beyond simple scripts and knowledge of application architecture
Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++/C#, Ruby, and JavaScript
Understanding of distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (OpenShift, Kubernetes, Yarn)
Skilled in spotting problems and identifying performance bottlenecks, leading to problem and root cause analysis and risk mitigation
Capacity monitoring and performance planning experience with cloud solutions like AWS using applications such as Dynatrace, New Relic, App Dynamic

💡 Responsibilities

Use engineering design concepts to recommend design or test methods for attaining or improving operational reliability in support of business objectives.
Develop and implement high-reliability tools, systems, and services using engineering methodologies and tools.
Determine reliability requirements and deliver insights from massive scale data in real time.
Propose changes in design or formulation to improve system and/or process reliability.
Utilize best practices and work with cross-functional teams to provide solutions and a positive user experience.
Improve reliability, quality, and time-to-market for suite of software solutions, through effective hosting, monitoring, operations, and automation
Develop proprietary tools to improve system reliability and mitigate weaknesses in incident management or software delivery
Collaborate with team members to troubleshoot and fix issues utilizing knowledge of problems to route support escalation issues to the appropriate teams
Add automation for improved collaborative response in real-time, updates documentation, runbook tools, and modules to prepare teams for incidents
Support optimizing the software development life cycle to boost service reliability, based on post-incident reviews
Support system cost modeling for all hosted systems
Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
Deliver primary operational support and engineering for distributed software applications
Implement guidelines and plans for automated systems delivery maintaining system and data security
Assist with impact analysis regarding enterprise-wide technology
Perform capacity monitoring with various monitoring tools (Splunk, Dynatrace, etc.) and make recommendations
Gather and analyze metrics from both operating systems and applications to assist in performance tuning, fault finding, and corrective action planning
Support system integration, software, and hardware at enterprise level for optimum performance
Partner with development teams to improve services through rigorous automated testing and release procedures
Contribute to system architecture planning, and policies and procedures surrounding enterprise-wide technology
Participate in system design consulting, platform management, and capacity planning
Stay abreast of new technologies; introduce applicable technology in alignment with business goals and for creative solutions

AWS Docker PostgreSQL Python SQL Bash Cloud Computing Data Analysis DynamoDB ElasticSearch Git Java Kafka Kubernetes MySQL Oracle Rabbitmq Software Architecture Zabbix Algorithms Cassandra Data Structures Prometheus Redis Spark Communication Skills Analytical Skills CI/CD Problem Solving RESTful APIs Linux DevOps Terraform Microservices Teamwork Troubleshooting JSON Cross-functional collaboration Ansible Scripting Debugging

Posted about 23 hours ago

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🔥 Mid Level JAVA Software Engineer with DevOps Experience

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 80000.0 - 110000.0 USD per year

🔍 Communications, Media, and Entertainment

🔧 Requirements

4+ years of Professional experience with Java software development using Spring and REST-based architecture.
Experience or Knowledge with object-oriented development, data modeling, and design patterns.
Experience or Knowledge building systems for highly available multi-site environments with an understanding of the network architecture that supports such systems.
Professional experience with Java application servers and J2EE containers (Tomcat).
Knowledge of reactive coding patterns and frameworks (Reactor, Spring WebFlux, etc).
Fundamental understanding of data stores such as MongoDB, Cassandra, DynamoDB, Redis, Memcached, Oracle, Postgres.
Fundamental understanding of Agile methodology and software delivery via CI/CD.
Experience with infrastructure as code, build automation, observability, security principles, and technical architecture.
Fundamental understanding of testing methodologies and frameworks.
Understanding of the HTTP protocol and experience in caching, especially in HTTP-compliant caches.
Professional or Academic experience in developing with Major MVC frameworks (Spring MVC).
Strong technical written and verbal communication skills.

💡 Responsibilities

Design, build and scale sophisticated high-volume server-side applications and frameworks.
Gain an understanding of a complex microservices architecture to understand how new feature development or updates to existing codebase will affect the service as a whole.
Write reusable, testable, and maintainable code.
Collaborate with project stakeholders to identify product and technical requirements.
Conduct analysis to determine integration needs.
Write code that meets functional requirements and is testable and maintainable.
Have a passion for test driven development.
Design, create, and maintain observability telemetry collection and dashboards to understand service health.
Design, create, and maintain automation to perform processes such as builds, deployments, infrastructure as code, and operational automation.
Participate in production service support and issue resolution in a high-volume high-impact environment.
Work with Quality Assurance team to determine if applications fit specification and technical requirements.
Produce technical designs and documentation at varying levels of granularity.

AWS Backend Development Docker PostgreSQL SQL Agile DynamoDB Java Java EE MongoDB Spring Spring Boot Spring MVC Cassandra REST API Redis Tomcat CI/CD RESTful APIs DevOps Microservices

Posted 3 days ago

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🔥 Software Engineer Backend - (Remote - Canada)

Posted 4 days ago

📍 Canada

🧭 Full-Time

🔍 Cybersecurity

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

🔧 Requirements

3+ years of back-end development experience, with expertise in Node.js and backend frameworks like Nest.js or Express.js.
Experience in designing and maintaining microservices architectures and contributing to full-stack development.
Proficiency in database management, schema design, performance tuning, and indexing for large-scale distributed databases.
Experience with message-driven architectures, using tools like Kafka or RabbitMQ.
Familiarity with CI/CD pipelines (Jenkins, GitLab CI, CircleCI) and automation of deployment and scaling.
Proven experience in leading and mentoring engineering teams.
Expertise in cloud-native technologies (e.g., AWS Lambda) and monitoring tools (e.g., Prometheus, Grafana).
Familiarity with containerized microservices using Kubernetes.
Strong problem-solving and communication skills, with a passion for continuous learning.
B.S. degree in Computer Science or a related field, or equivalent work experience.

💡 Responsibilities

Design, develop, and maintain backend systems and microservices using Node.js, Kubernetes, and related technologies.
Lead projects across the stack, focusing on backend components and collaborating with front-end developers for full-stack solutions.
Manage and optimize distributed databases like PostgreSQL, MongoDB, or Cassandra, ensuring scalability and performance.
Build and maintain APIs (RESTful, gRPC, or GraphQL) and integrate third-party services, ensuring security, performance, and scalability.
Mentor and guide junior engineers, leading complex, multi-person projects to successful completion.
Collaborate effectively with cross-functional teams and leadership to align technical solutions with business goals.

AWS Backend Development Docker GraphQL Leadership Node.js PostgreSQL Express.js Full Stack Development Kafka Kubernetes MongoDB Rabbitmq API testing Cassandra Grafana gRPC Prometheus Nest.js CI/CD RESTful APIs Mentoring Microservices

Posted 4 days ago

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🔥 Sr. Data Engineer

Posted 5 days ago

📍 United States

🔍 Software Development

🏢 Company: ge_externalsite

🔧 Requirements

Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, TAMR etc., )
Hands-on experience in programming languages like Java, Python or Scala
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
Exposure to unstructured datasets and ability to handle XML, JSON file formats

💡 Responsibilities

Work independently as well as with a team to develop and support Ingestion jobs
Evaluate and understand various data sources (databases, APIs, flat files etc. to determine optimal ingestion strategies
Develop a comprehensive data ingestion architecture, including data pipelines, data transformation logic, and data quality checks, considering scalability and performance requirements.
Choose appropriate data ingestion tools and frameworks based on data volume, velocity, and complexity
Design and build data pipelines to extract, transform, and load data from source systems to target destinations, ensuring data integrity and consistency
Implement data quality checks and validation mechanisms throughout the ingestion process to identify and address data issues
Monitor and optimize data ingestion pipelines to ensure efficient data processing and timely delivery
Set up monitoring systems to track data ingestion performance, identify potential bottlenecks, and trigger alerts for issues
Work closely with data engineers, data analysts, and business stakeholders to understand data requirements and align ingestion strategies with business objectives.
Build technical data dictionaries and support business glossaries to analyze the datasets
Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories
Build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
Develop and maintain data mapping specifications based on the results of data analysis and functional requirements
Perform a variety of data loads & data transformations using multiple tools and technologies.
Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
Maintain metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
Analyze the impact of downstream systems and products
Derive solutions and make recommendations from deep dive data analysis.
Design and build Data Quality (DQ) rules needed

AWS PostgreSQL Python SQL Apache Airflow Apache Hadoop Data Analysis Data Mining Erwin ETL Hadoop HDFS Java Kafka MySQL Oracle Snowflake Cassandra Clickhouse Data engineering Data Structures REST API Nosql Spark JSON Data visualization Data modeling Data analytics Data management

Posted 5 days ago

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🔥 Software Engineer - GenAI (Remote - Ireland)

Posted 6 days ago

📍 Republic of Ireland

🔍 Software Development

🔧 Requirements

Good coding skills in Python or equivalent (ideally Java or C++).
Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation etc).
A craving to learn and use cutting edge AI technologies.
Understanding of building data pipelines to train and deploy machine learning models and/or ETL pipelines for metrics and analytics or product feature use cases.
Experience in building and deploying live software services in production.
Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS and service oriented architecture.

💡 Responsibilities

Define problems and gather requirements in collaboration with product managers, teammates and engineering managers.
Collect and curate datasets necessary to evaluate and feed the generative models.
Develop and validate results of the generative AI models.
Fine tune models when necessary.
Productionize models for offline and / or online usage.
Learn the fine art of balancing scale, latency and availability depending on the problem.

AWS Python Data Analysis ETL Java Machine Learning C++Apache Kafka Cassandra Nosql Software Engineering

Posted 6 days ago

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🔥 Software Engineer - GenAI (Remote - United Kingdom)

Posted 6 days ago

📍 United Kingdom

🔍 Software Development

🔧 Requirements

Good coding skills in Python or equivalent (ideally Java or C++).
Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation etc).
A craving to learn and use cutting edge AI technologies.
Understanding of building data pipelines to train and deploy machine learning models and/or ETL pipelines for metrics and analytics or product feature use cases.
Experience in building and deploying live software services in production.
Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS and service oriented architecture.

💡 Responsibilities

Define problems and gather requirements in collaboration with product managers, teammates and engineering managers.
Collect and curate datasets necessary to evaluate and feed the generative models.
Develop and validate results of the generative AI models.
Fine tune models when necessary.
Productionize models for offline and / or online usage.
Learn the fine art of balancing scale, latency and availability depending on the problem.

AWS Backend Development Python Software Development Cloud Computing Data Analysis ETL Java Machine Learning C++Apache Kafka Cassandra REST API

Posted 6 days ago

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🔥 Contractor Data Engineer

Posted 7 days ago

📍 Spain

🧭 Contract

🔍 IT Consultancy

🏢 Company: Codurance👥 11-50 Information Technology Software

🔧 Requirements

Excellent level of English and Spanish (written and spoken)
Experience with database systems like SQL and NoSQL (MongoDB, Cassandra, CosmosDB, Redis, MSSQL, MySQL…)
Experience with Data warehousing solutions (Azure Synapse, AWS Redshift, etc.)
Experience with ETL tools (Data Factory, Databricks, Amazon EMR, Hadoop, Spark, etc.)
Experience with Machine learning (Tensorflow, PyTorch, scikit-learn, NumPy, Pandas, etc.)
Experience with Data APIs (Knowledge of OData, GraphQL, as well as frameworks like FastAPI, Flask etc.)
Programming skills (preferably Python, Java and Scala)
Understanding the basics of distributed systems
Knowledge of algorithms and data structures
Ideally a master's degree in data engineering

💡 Responsibilities

Create and maintain optimal data pipeline architectures and data models
Analyze and assemble large, complex data sets that meet business requirements
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and NoSQL databases, AWS, Azure or GCP technologies
Build analytics tools for both business and data scientists
Provide and generate actionable insights from data around business performance metrics and report on them
Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
Help in the implementation of algorithms and prototypes
Enhance data quality and reliability
Collaborate with data scientists, architects and the rest of the business and engineering team to successfully deliver projects

AWS GraphQL Python SQL Cloud Computing Data Analysis ETL Flask GCP Java Machine Learning MongoDB MySQL Numpy PyTorch Algorithms Cassandra Data engineering Data Structures FastAPI REST API Redis Nosql Pandas Spark Tensorflow Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Agile methodologies Scala Data visualization Data modeling

Posted 7 days ago

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🔥 Staff Machine Learning Engineer, Bidding and Pacing

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 230000.0 - 322000.0 USD per year

🔍 Software Development

🔧 Requirements

7+ years of contributing high-quality code to production systems that operate at scale.
5+ years of experience building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners is required.
Experience designing optimization algorithms in an ad serving platform and/or other marketplaces is preferred.
Experience with state of the art control systems, reinforcement learning algorithms is a strong plus.

💡 Responsibilities

Building Reddit-scale optimizations to improve advertiser outcomes using cutting-edge techniques in the industry.
Leverage live auction data and model predictions to adjust campaign bids in real time.
Incorporate knowledge of the Reddit ads marketplace into budget pacing algorithms powered by control & reinforcement learning systems
Lead the team on designing new bid & budget optimization products and algorithms as well as conducting rigorous A/B experiments to evaluate the business impact.
Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.

AWS Docker Leadership PostgreSQL Python SQL Cloud Computing Data Analysis ElasticSearch GCP Java Kubernetes Machine Learning PyTorch Cross-functional Team Leadership Algorithms Cassandra Data Structures REST API Redis Tensorflow Scala Data modeling A/B testing

Posted 8 days ago

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🔥 Senior Software Engineer, Data

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 177000.0 - 213000.0 USD per year

🔍 FinTech

🏢 Company: Flex

🔧 Requirements

A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
A minimum of 6 years of experience with Python and SQL.
A minimum of 3 years of industry experience using DBT.
A minimum of 3 years of industry experience using Snowflake and its basic features.
Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
Industry experience working with relational and NoSQL databases in a production environment.
Strong fundamentals in data structures, algorithms, and design patterns.

💡 Responsibilities

Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
Create scalable real-time streaming pipelines and offline ETL pipelines.
Design, implement, and manage a data warehouse that provides secure access to large datasets.
Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Create engineering documentation for design, runbooks, and best practices.

AWS Python SQL Bash Design Patterns ETL Hadoop Java Kafka Snowflake Airflow Algorithms Cassandra Data engineering Data Structures Nosql Spark Communication Skills CI/CD RESTful APIs Terraform Written communication Documentation Data modeling Debugging

Posted 8 days ago

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🔥 Senior Software Developer - Mailgun Optimize and Validate

Posted 11 days ago

📍 United States

💸 124800.0 - 163800.0 USD per year

🔍 Software Development

🏢 Company: Sinch👥 1001-5000💰 $48,845,918 Post-IPO Debt 6 months agoMessaging SaaS Telecommunications Mobile Software

🔧 Requirements

Proficient in Go.
Experience working in a CI/CD environment.
Experience with noSQL (Mongo, Cassandra) databases.
Experience with highly scalable distributed systems capable of handling millions of requests.
Experience working with and maintaining RESTful APIs.
Passion for clean, simple, and well-tested code.

💡 Responsibilities

Makes design decisions and recommendations to satisfy business requirements based on the product roadmap/vision.
Makes recommendations based upon established vision and associated analysis in order to satisfy tactical, operational, and strategic needs.
Capable of prototyping solutions to determine feasibility and provide an outline to others for implementation.
Designs sustainable solutions and processes that minimize developer support and intervention.

Software Development MongoDB Cassandra Go REST API Nosql CI/CD RESTful APIs Microservices

Posted 11 days ago

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