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๐Ÿ“ United States of America

๐Ÿ’ธ 63000.0 - 108675.0 USD per year

๐Ÿข Company: vspvisioncareers

  • Bachelorโ€™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
  • 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 ย 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

AWSDockerPostgreSQLPythonSQLBashCloud ComputingData AnalysisDynamoDBElasticSearchGitJavaKafkaKubernetesMySQLOracleRabbitmqSoftware ArchitectureZabbixAlgorithmsCassandraData StructuresPrometheusRedisSparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsLinuxDevOpsTerraformMicroservicesTeamworkTroubleshootingJSONCross-functional collaborationAnsibleScriptingDebugging

Posted 35 minutes ago
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๐Ÿ“ India

๐Ÿงญ Full-Time

๐Ÿ” Software Development

๐Ÿข Company: Frequence

  • 10+ years of experience in software development, including 5+ years in leadership roles managing managers and leading high-performing engineering teams.
  • A deep understanding of design patterns, software development methodologies, and distributed systems architecture.
  • Hands-on experience with relevant technologies and tools, such as Airflow, Spark, and streaming architectures.
  • Well-versed in data pipelining, data warehousing, data modeling, data streaming, streaming architectures, database performance and ETL processes.
  • Experience in cloud infrastructure (preferably GCP) and have built large-scale, distributed systems with a focus on reliability, observability, and cost efficiency.
  • Data-driven, using metrics and analytics to track team performance, identify areas for improvement, and drive strategic decisions.
  • Identify and drive new strategic opportunities.
  • Weave AI into current data and reporting solutions.
  • Ensure the reliability, security and performance of database systems.
  • Work closely with executive leadership and other engineering leaders.
  • Manage managers and work effectively with skip-level employees.
  • Drive the planning and estimation process for cross-functional initiatives.
  • Proactively identify risks and implement mitigation strategies.
  • Advocate for strong engineering practices and software architecture improvements.
  • Ensure that engineering outcomes have a measurable impact on company top-line or bottom-line performance.

LeadershipProject ManagementPythonSoftware DevelopmentSQLCloud ComputingData AnalysisETLGCPKafkaKubernetesMachine LearningPeople ManagementSoftware ArchitectureCross-functional Team LeadershipAirflowAlgorithmsData engineeringREST APIStrategic ManagementSparkCommunication SkillsAnalytical SkillsCI/CDAgile methodologiesDevOpsMicroservicesRisk ManagementData visualizationTeam managementStakeholder managementData modelingData managementBudget management

Posted about 1 hour ago
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๐Ÿ“ Canada

๐Ÿ’ธ 98400.0 - 137800.0 CAD per year

๐Ÿ” Software Development

  • A degree in Computer Science or Engineering, and 5-8 years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
  • Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
  • Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
  • Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
  • Experience working with message queues such as Kafka and Kinesis
  • Experience developing data pipelines and integrations for high volume, velocity and variety of data
  • Experience with data warehousing and data modeling best practices
  • Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
  • Conduct directed research and technical analysis of new candidate technologies that fill a development teamโ€™s business or technical need
  • Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
  • Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
  • Implement our technical roadmap as we scale our services and build new data products
  • Participate in code reviews, attend regular team meetings, and apply software development best practices
  • Take ownership of your work, and work autonomously when necessary
  • Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
  • Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
  • Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWSPostgreSQLPythonSoftware DevelopmentSQLAgileApache AirflowCloud ComputingData AnalysisData MiningETLJavaKafkaMySQLSoftware ArchitectureAlgorithmsAPI testingData engineeringData StructuresGoServerlessSparkCI/CDRESTful APIsMicroservicesScalaData visualizationData modelingData management

Posted about 4 hours ago
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๐Ÿ“ Spain

๐Ÿงญ Full-Time

๐Ÿ’ธ 101000.0 - 131000.0 EUR per year

๐Ÿ” Fintech

  • Extensive experience (8+ years) in machine learning engineering, with at least 2 years in a management role.
  • Expertise in developing machine learning models and systems at scale, from concept through to business impact.
  • Proficiency in machine learning techniques, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
  • Strong engineering skills in Python and SQL, with experience in large-scale distributed systems such as Spark or Ray.
  • Passion for working with cross-functional teams including Product, Design, Analytics and Business teams.
  • Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software.
  • Track record of hiring, mentoring, coaching, and developing diverse engineering talent.
  • Comfortability with ambiguity and self-awareness to understand and navigate the unknown
  • Demonstrated experience in building and scaling platforms and distributed systems that require high availability, resilience and meeting stringent SLO objectives is required.
  • Excellent written and verbal English communication skills.
  • Collaborate with Product managers, cross functional engineering teams, designers and analysts to define product roadmap and execute on plan to build practical technology capabilities needed to realize the vision.
  • Drive planning, resource allocations, trade-offs and prioritization conversations with business and technical stakeholders to define epics in Jira and manage the quality of deliverables all the way to production
  • Collaborate with product and platform teams to set strategic priorities and roadmaps for machine learning projects that enhance our credit assessment capabilities.
  • Participate in quarterly planning and work closely with peers and teams to remove impediments, articulate tradeoffs and garner resources
  • Grow globally minded teams by attracting and hiring diverse talent and build a strong leadership bench. Provide tailored coaching, feedback and mentoring for Engineers and inspire a team of full stack engineers
  • Hire, coach, and mentor employees to increase their impact through regular performance development and feedback conversations.
  • Foster a respectful and supportive environment for all team members that effectively leverages the diversity of the team.
  • There would be an on-call rotation for this role as a requirement.

AWSLeadershipPythonSQLData AnalysisFull Stack DevelopmentMachine LearningAlgorithmsData StructuresSparkData modeling

Posted about 5 hours ago
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๐Ÿ“ India

๐Ÿข Company: YipitData (Alternative)

  • 5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
  • Demonstrate strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
  • Proficient in Python, Docker, AWS, REST APIs, and database technologies.
  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
  • Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWSDockerPythonSQLREST APIPandasSparkCI/CDRESTful APIsTroubleshootingData analyticsDebugging

Posted about 7 hours ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 198050.0 - 233000.0 USD per year

๐Ÿ” Health Tech

  • 3+ years of experience as an Engineering Manager
  • 3-5+ years of experience as a Software Engineer
  • Track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
  • Strong technical foundation
  • Strong product mindset
  • Track record of working well across teams and functions
  • Prior experience with Python and React (Nice to have)
  • Experience working with AWS infrastructure (Nice to have)
  • Experience in health tech, building user-facing products (Nice to have)
  • BS, MS in Computer Science or related field
  • Lead and manage a team (or teams) of 8+ engineers
  • Ensure there is process and product alignment across your team
  • Develop and grow your team through weekly 1-1s, mentorship, and feedback
  • Work with and help develop aspiring engineering leaders within the engineering team
  • Contribute to the broader company strategy and product roadmap
  • Help build out our engineering team as the headcount grows from 80 to 120+ through the remainder of the year

AWSBackend DevelopmentDockerLeadershipPostgreSQLProject ManagementPythonCloud ComputingData AnalysisKafkaPeople ManagementProduct ManagementReact.jsTypeScriptCross-functional Team LeadershipAlgorithmsData StructuresFastAPIREST APIRedisStrategic ManagementReactSparkCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesMentoringRelationship buildingTeam managementSoftware EngineeringDebugging

Posted about 20 hours ago
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๐Ÿ“ Germany

๐Ÿ” AI and data analytics consulting

๐Ÿข Company: Unit8 SA

  • MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
  • Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
  • Proficient in one of the following languages: Python, Scala, Java.
  • Experience with cloud technologies is a strong plus.
  • Work with our customers to understand their challenges, design and implement solutions.
  • Closely collaborate with other data scientists, software engineers and business stakeholders.
  • Evaluate, compare and present results to technical and non-technical audience.
  • Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
  • Implement best practices in CI/CD

AWSDockerPythonSQLCloud ComputingData AnalysisETLJavaKubernetesMachine LearningAlgorithmsData engineeringData scienceSparkCI/CDRESTful APIsScalaSoftware Engineering

Posted about 23 hours ago
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๐Ÿ“ India

๐Ÿ” Market Research and Analytics

  • 5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
  • Strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
  • Proficient in Python, Docker, AWS, REST APIs, and database technologies.
  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
  • Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWSDockerPythonSQLGitAPI testingREST APIPandasSparkCI/CDRESTful APIsLinuxTroubleshootingData modelingScriptingData analyticsDebugging

Posted 1 day ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 200000.0 - 275000.0 USD per year

๐Ÿ” Software Development

  • 6+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
  • Extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
  • Experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan.
  • Write high quality code that is easily understood and used by others.
  • Thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
  • Growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
  • Strong verbal and written communication skills that support effective collaboration with our global engineering team.
  • Set technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
  • Collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
  • Act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
  • Mentor less experienced engineers, leading by example, and setting the technical bar high.
  • Take ownership of your teamโ€™s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support โ€œkeep the lights onโ€ & on-call efforts.
  • Foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
  • Help develop talent on your team by providing feedback and guidance, and leading by example.

AWSBackend DevelopmentLeadershipProject ManagementPythonSoftware DevelopmentSQLData AnalysisKotlinKubernetesMySQLAlgorithmsData StructuresREST APISparkCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingMentoringDevOpsWritten communicationMicroservices

Posted 1 day ago
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๐Ÿ“ United States

๐Ÿงญ Full-Time

๐Ÿ’ธ 232000.0 - 310000.0 USD per year

๐Ÿ” Software Development

  • 10+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
  • Strong experience leading multiple engineering teams to deliver high quality software
  • Track record of successfully leading engineering teams at both rapidly scaling startups and complex larger technology companies.
  • Expertise in synthesizing complex technical requirements, designs, trade-offs, and capabilities into clear decisions to influence ML & engineering direction
  • Extensive experience developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.
  • Experience building and operating online, real-time ML infrastructure including a model server and a feature store
  • Experience developing an offline environment for large scale data analysis and model training using technologies including Spark, Kubeflow, Ray, and Airflow
  • Experience delivering major features and system components
  • Set the multi-year, multi-team technical strategy for ML Platform and deliver it through direct implementation or broad technical leadership
  • Partner with technical leaders across the company to create joint roadmaps that will achieve business impacting goals through the advancement of machine learning
  • Act as a force-multiplier for your teams through your definition and advocacy of technical solutions and operational processes
  • You have an ownership mindset, and you will proactively champion investments in availability so that every project in your area achieves its availability targets
  • You will foster a culture of quality and ownership on your team by setting system design standards for your team, and advocating for them beyond your team through your writing and tech talks
  • You will help develop talent on your team by providing feedback and guidance, and leading by example

AWSBackend DevelopmentLeadershipProject ManagementPythonApache AirflowData AnalysisKotlinKubeflowKubernetesMachine LearningMySQLSoftware ArchitectureCross-functional Team LeadershipData engineeringSparkCommunication SkillsRESTful APIsDevOps

Posted 1 day ago
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