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🔥 (UP024) Data & Telemetry Architect - Talent Connection

Posted about 3 hours ago

📍 LATAM

🔍 Telecommunications

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

🔧 Requirements

5+ Years of experience in Data Architecture, including designing robust data models (e.g., Splunk CIM, star/snowflake schemas) and data governance frameworks tailored to large-scale, high-volume telemetry data (preferably within telecommunications).
3+ Years of hands-on experience in at least two of the following observability platforms: Splunk (including Splunk Search Processing Language – SPL, and Common Information Model – CIM), ELK Stack (Elasticsearch, Logsearch complex pipelines, Kibana dashboards), Grafana and Prometheus for implementing observability solutions.
2+ Years of strong scripting skills (e.g., Python, Bash, PowerShell) for automation of telemetry system deployment, configuration management, and operational tasks.
Experience designing and implementing observability solutions with audit trails for user/system activities.
Familiarity with distributed tracing concepts and tools (e.g., OpenTelemetry, Grafana Tempo, Jaeger).
Understanding of telco network architectures (4G/LTE, 5G) and common data sources (CDRs, IPDRs, signaling data).
Proven experience designing scalable observability systems in telco or high-throughput environments.
Knowledge of security best practices for telemetry platforms (data encryption, RBAC).
Experience with cloud environments (AWS, Azure or GCP) and native cloud monitoring tools (CloudWatch, Azure Monitor or Google Operations Suite).
Experience designing and implementing data warehousing or data lake solutions for high-volume telemetry data.

💡 Responsibilities

Design, implement, and manage telemetry systems to enhance telecommunications operations.
Develop and optimize telemetry and observability platforms using tools like Splunk, ELK Stack, Grafana, and distributed tracing solutions.
Ensure network performance, service assurance, and security through advanced telemetry strategies.

AWS Python Bash Cloud Computing GCP Azure Grafana CI/CD Data modeling

Posted about 3 hours ago

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🔥 DevOps Associate

Posted about 4 hours ago

📍 United States

🏢 Company: Interapt👥 101-250 Web Development Software

🔧 Requirements

2+ years of experience in a DevOps or Cloud Engineering role
Proficiency with AWS services required (EC2, S3, IAM, CloudFormation, etc.)
Experience with CI/CD tools
Familiarity with Infrastructure as Code (IaC) and containerization (Docker, Kubernetes)
Experience using scripting tools (Python, Bash, or similar)
Excellent communication and organizational skills for client-facing work
Passion for learning and applying IT risk, controls, and compliance concepts
Exposure to or interest in SOX compliance, NIST, or COSO frameworks
Experience working in regulated or high-growth environments (e.g., fintech, healthcare, pre-IPO)
AWS certification (Cloud Practitioner, Solutions Architect Associate, etc.)

💡 Responsibilities

Collaborate with risk consultants and IT auditors to assess and strengthen technology control environments
Automate deployment, monitoring, and configuration management across client environments (primarily AWS)
Support the design and implementation of DevOps pipelines with an eye on compliance
Participate in system reviews to identify gaps in infrastructure security, change management, and access controls
Assist clients in prep for IPO or audit readiness by aligning their DevOps practices with governance frameworks
Build scripts/tools to help automate evidence collection or control monitoring processes
Act as a technical SME during client meetings and documentation sessions

AWS Docker Python Bash Kubernetes CI/CD DevOps Compliance Risk Management Scripting

Posted about 4 hours ago

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🔥 DevSecOps Engineer (1023)

Posted about 7 hours ago

📍 United States

🏢 Company: Raft Company Website

🔧 Requirements

5+ years of relevant hands-on experience in DevOps or related field
Minimum 2 years of hands-on experience with Docker, including provisioning production containerized environments and maintaining their security and compliance
Proficiency in Infrastructure as Code tools such as: Terraform, Ansible, and Packer for automated infrastructure provisioning and management
Experience with CI/CD pipeline tools including Jenkins or GitLab CI with runners for building, deployment, and release automation
Strong scripting capabilities in BASH, Linux, Windows, and PowerShell environments for automation tasks
Experience with monitoring and logging solutions using ELK stack and Grafana
Demonstrated experience with cloud platforms (AWS, Azure, GCP) and on-premises containerized solutions
Proven ability to identify and address security vulnerabilities within infrastructure and application delivery pipelines
Experience configuring and managing CI/CD pipelines using GitLab Runners
Solid understanding of orchestration and automated deployment processes

💡 Responsibilities

Architect, develop, and implement end-to-end application lifecycles with security integrated at every stage
Collaborate closely with clients to design and implement containerized solutions
Build robust CI/CD pipelines
Automate infrastructure provisioning
Ensure compliance and best practices are followed throughout the development and deployment process

AWS Docker Bash GCP Jenkins Kubernetes Azure Grafana CI/CD Linux DevOps Terraform Ansible Scripting

Posted about 7 hours ago

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🔥 Staff SecOps Engineer

Posted about 8 hours ago

📍 Brazil, USA, Canada

🧭 Full-Time

🔍 Payments

🔧 Requirements

Experience in conducting complex projects within AWS, preferably using Terraform or Cloud formation
Previous experience as an IT Security Engineer
Previous experience with Kubernets
Deep Knowledge of AWS Cloud Security Stack
Knowledge of AWS Identity and Access Management (IAM)
Experience with Security in the development pipeline (CI/CD)
Experience with SAST and DAST tools, and GitHub
Knowledge about programming: Terraform, Cloud formation, and others
Experience in reviewing and implementing internal processes and controls and managing security projects
Knowledge in information technology, with a focus on security, cloud security, infrastructure, and monitoring
Knowledge of the rules and standards for information security and the risk management and information security policy
Knowledge about malware and cyber attacks, incident response
Experience with Security Incident Response (Solving security and network issues on Cloud Environments)
Advanced English

💡 Responsibilities

Operation of all AWS Cloud Security Stack
Acting in Access Controls (IAM)
Participate in projects evaluating information security
Security Automation
Work with DevSecOps
Provide best security practices in new projects, demands, and changes
Create alerts and scripts for monitoring
Vulnerability Management
Perform threat hunting on Cloud Environment (AWS)
Create and maintain security compliance baselines

AWS Python Bash Cloud Computing Cybersecurity Kubernetes Amazon Web Services CI/CD RESTful APIs Linux DevOps Terraform

Posted about 8 hours ago

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🔥 Senior Data Engineer

Posted about 9 hours ago

📍 United States

🧭 Full-Time

💸 145000.0 - 200000.0 USD per year

🔍 Daily Fantasy Sports

🏢 Company: PrizePicks👥 101-250💰 Corporate about 2 years agoGaming Fantasy Sports Sports

🔧 Requirements

5+ years of experience in a data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
2+ 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.

💡 Responsibilities

Enhance the capabilities of our existing Core Data platforms and develop new integrations with both internal and external APIs within the Data organization.
Work closely with DevOps, architects, and engineers to ensure the success of the Core Data platform.
Collaborate with Analytics Engineers to enhance data transformation processes, streamline CI/CD pipelines, and optimize team collaboration workflows.
Architect and implement Infrastructure as Code (IaC) solutions to automate and streamline the deployment and management of data infrastructure.
Develop and manage CI/CD pipelines to automate and streamline the deployment of data solutions.
Ensure code is thoroughly tested, effectively integrated, and efficiently deployed, in alignment with industry best practices for version control, automation, and quality assurance.
Serve as a Data Engineering thought leader 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.
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 PostgreSQL Python SQL Apache Airflow Bash Cloud Computing ETL GCP Git Kafka Kubernetes Data engineering Data science REST API CI/CD RESTful APIs Mentoring Terraform Data modeling

Posted about 9 hours ago

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🔥 UNIX Midrange Support/System Admin

Posted about 9 hours ago

📍 Canada

🧭 Contract

🔍 IT Solutions and Managed Services

🏢 Company: Charter Telecom

🔧 Requirements

6+ years of experience (Midrange Support) administering Red Hat, SuSe, and AIX UNIX environments.
Proven experience with Microsoft Server and Azure Administration.
Experience providing administration and support for IBM Storage (including SVC) and backup solutions.
Experience creating technical documentation and user guides for new systems.
Experience setting up and managing permissions to ensure the security of systems.
Experience setting up and supporting Unix, server and Azure systems.

💡 Responsibilities

Maintain and support Red Hat, SuSe, and AIX environments (6 years of hands-on experience required).
Perform Azure administration and Microsoft Server support from a systems administration perspective.
Provide administration and support for IBM Storage (including SVC) and backup solutions.
Ensure secure environments by configuring and managing system permissions.
Create and update technical documentation and user guides for new systems or updates.
Deliver technical support and troubleshooting to ensure smooth operation of server environments.
Participate in on-call rotation as part of a team; occasional work outside normal business hours may be required (but typically not exceeding 40 hours per week).

Bash Cloud Computing Microsoft Azure Azure Linux Troubleshooting Scripting

Posted about 9 hours ago

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🔥 Senior Backend Software Engineer

Posted about 9 hours ago

📍 DC, DE, GA, MA, MD, NC, NH, NJ, OH, PA, SC, UT, VA

🧭 Full-Time

🔍 Software Development

🏢 Company: AWeber

🔧 Requirements

Writing APIs and event-driven, distributed microservices in Python with frameworks like Tornado and Rejected.
Experience with Docker and Kubernetes.
Capture metrics with tools like statsd, Graphite, and Grafana that you will use to monitor the health of services.

💡 Responsibilities

Design, develop, maintain, and operate applications that power key capabilities of AWeber products.
Work alongside a team of skilled engineers, writing APIs and event-driven, distributed microservices in Python with frameworks like Tornado and Rejected.
Leverage internal tools to deploy applications onto a modern, hybrid platform using Docker and Kubernetes.

AWS Backend Development Docker Python SQL Bash Cloud Computing Git Kafka Kubernetes Nginx ActiveMQ Algorithms API testing Data Structures Grafana Postgres Prometheus REST API TestRail CI/CD RESTful APIs DevOps Microservices Scripting Software Engineering Debugging

Posted about 9 hours ago

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🔥 Associate Platform Engineer

Posted about 11 hours ago

📍 Canada

🧭 Full-Time

🏢 Company: Top Hat👥 251-500💰 $130,000,000 Series E over 4 years ago🫂 Last layoff over 1 year agoEducation EdTech Mobile Software

🔧 Requirements

Have cloud infrastructure and networking knowledge (AWS, GCP, Terraform) to be able to design and operate services on the cloud
Have CI/CD tooling knowledge (Github Actions, Jenkins) and experience in maintaining large multi-stage pipelines
Hands-on experience with configuration automation (eg Terraform), Docker, observability tooling (Honeycomb).

💡 Responsibilities

Scale continuous deployment practices across the engineering department.
Extend our reusable service template and its associated CI/CD tooling.
Lead in efforts to further mature our cloud infrastructure and platform offering as our business grows
Help mature our production observability practices. Help teams define SLI’s,manage and achieve SLOs
Extend and maintain our internal developer-friendly CLI
Operate and maintain our platform-level shared services and capabilities, such as continuous integration, continuous deployment, infrastructure automation and monitoring.
Coach product teams on operational ownership. Teach blame-free root cause analysis for incidents that impact the customer or our delivery performance.
Participate in our team’s support rotations

AWS Backend Development Docker Python Software Development Bash Cloud Computing Frontend Development GCP Jenkins Kubernetes CI/CD Mentoring DevOps Terraform Networking Debugging

Posted about 11 hours ago

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🔥 Senior DevOps Engineer

Posted about 15 hours ago

📍 United States

🧭 Full-Time

🔍 Advertising Software

🏢 Company: MNTN👥 251-500💰 $2,000,000 Seed over 2 years agoAdvertising Real Time Marketing Software

🔧 Requirements

5–8+ years in DevOps, SRE, or Platform Engineering, with production experience in AWS and GCP
Strong automation skills, programming and scripting in Python, including working with APIs, SDKs, and CLIs
Proven experience operating Kubernetes (EKS, GKE) in production, with Helm, ArgoCD, and Kustomize
Deep expertise in Terraform / OpenTofu and infrastructure-as-code best practices; experience with Terragrunt is a plus
Hands-on experience with cloud migrations, hybrid deployments, and designing for provider-agnostic portability
Solid understanding of cost modeling, tagging strategies, and cloud cost optimization techniques (FinOps awareness a plus)
Familiarity with microservices architectures, service discovery, and containerization workflows
A platform mindset: you’ve built tools, abstractions, or services that improve the daily life of other developers
Strong communication skills and a habit of clear, useful documentation

💡 Responsibilities

Design, provision, and manage infrastructure across AWS and GCP (EKS, GKE, EC2, IAM, S3, VPC, etc.) using Terraform and GitOps workflows
Build internal platform tools and self-service capabilities that reduce friction for engineers and improve reliability
Write Python automation scripts and infrastructure tools, integrating with REST APIs, cloud SDKs, and Kubernetes components
Create and manage CI/CD pipelines (e.g., ArgoCD, GitHub Actions), ensuring fast, safe, and observable deployments
Partner with engineering teams to define infrastructure patterns and provide cost-efficient solutions based on usage and scaling requirements
Monitor infrastructure spend and participate in cost analysis, optimization, and FinOps practices to drive better cloud economics
Improve observability, alerting, and runbooks for incident response and system health
Implement cloud security and compliance best practices, including secrets management and IAM policy design

AWS Docker Python AWS EKS Bash Cloud Computing GCP Git Kubernetes REST API CI/CD Linux DevOps Terraform Microservices Ansible Scripting

Posted about 15 hours ago

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🔥 Senior Data Scientist, US

Posted about 16 hours ago

📍 Texas, Denver, CO

💸 148000.0 - 189000.0 USD per year

🔍 SaaS

🏢 Company: Branch Metrics

🔧 Requirements

4+ years of relevant experience in data science, analytics, or related fields.
Degree in Statistics, Mathematics, Computer Science, or related field.
Proficiency with Python, SQL, Spark, Bazel, CLI (Bash/Zsh).
Expertise in Spark, Presto, Airflow, Docker, Kafka, Jupyter.
Strong knowledge of ML frameworks (scikit-learn, pandas, xgboost, lightgbm).
Experience deploying models to production on AWS infrastructure and experience with the basic AWS services.
Advanced statistical knowledge (regression, A/B testing, Multi-Armed Bandits, time-series anomaly detection).

💡 Responsibilities

Collaborate with stakeholders to identify data-driven business opportunities.
Perform data mining, analytics, and predictive modeling to optimize business outcomes.
Conduct extensive research and evaluate innovative approaches for new product initiatives.
Develop, deploy, and monitor custom models and algorithms.
Deliver end-to-end production-ready solutions through close collaboration with engineering and product teams.
Identify opportunities to measure and monitor key performance metrics, assessing the effectiveness of existing ML-based products.
Serve as a cross-functional advisor, proposing innovative solutions and guiding product and engineering teams toward the best approaches.
Anticipate and clearly articulate potential risks in ML-driven products.
Effectively integrate solutions into existing engineering infrastructure.

AWS Docker Python SQL Bash Kafka Machine Learning Airflow Regression testing Pandas Spark RESTful APIs Time Management A/B testing

Posted about 16 hours ago

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