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🔥 AWS Technical Architect

Posted about 2 hours ago

📍 United States, Canada, India, Colombia

🔍 Software Development

🔧 Requirements

Customer-facing contact center experience
Experience building integrations across WFM, CRM, and contact center solutions
Experience with communications protocols and APIs such as WebRTC and SIP
Experience with hands-on Scripting/coding (e.g., python, java, c#, .NET, Node.js)
Communication and presentation skills with a high degree of comfort speaking with executives, IT Management, and customers
API integration experience
Strong troubleshooting and debugging skills
Experience with Cloudformation, Contact Flow Design, Lambda Integration, Lex Integration, and Call Center Routing
Proficient in understanding and documenting the infrastructure requirements and specifications, including resource types, networking, security, and compliance needs.
Knowledge of automation tools and frameworks for building, testing, and deploying software, such as Jenkins, GitLab CI/CD, CodeDeploy
Contact Center architecture knowledge
Experienced in implementing infrastructure as code using AWS Cloud Development Kit (CDK) and Terraform, ensuring consistent and efficient infrastructure deployment.
Capable of setting up monitoring and logging for infrastructure components and performing ongoing maintenance to ensure optimal performance and availability.
Experience in technology/software sales, pre-sales, or consulting
Advanced knowledge of AWS services and cloud architecture
Salesforce knowledge and familiarity with Salesforce Service Cloud
Contact center product knowledge of other platforms (Genesys, Cisco, Avaya, Twilio, etc.)
Experience with WorkForce Management solutions
Experience working with outbound dialers and campaign management
Knowledge of software development methodologies such as Agile and Scrum
AWS Cloud Practitioner Certification
AWS Developer Associate Certification or Professional
AWS Solution Architect Certification or Professional
Salesforce Certified Administrator

💡 Responsibilities

Ensure customer success in building and launching Amazon Connect solutions for NeuraFlash customers
Conduct technology assessment and audits to identify the need (from an ROI and Outcomes perspective) to move to CCaaS AWS Connect Platform, improving agent experience and productivity
Facilitate business process reviews to identify customer requirements and processes
Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
Lead discovery for customers, help customers build ROIs for projects, and deliver presentations and estimate for delivering that ROI
Translate customer requirements into contact center design, leveraging best practices, and other AWS Services
Oversee and mentor technical teams, providing guidance and support to ensure that proposed solution (on Salesforce and AWS Cloud) is delivered on time, on budget, and to the required quality standards
Act as a liaison between technical teams and business stakeholders, communicating technical concepts in a clear and understandable manner, and managing expectations and priorities
Drive best practice contact center design into each and every aspect of solution delivery
Effectively manage all aspects of project and customer communications
Deliver customer end user training and documentation
Exercise independent judgment, and take the lead role on enterprise level projects with minimal direction from senior management
Lead vision and strategy discussions with contact center and customer service leadership and management

AWS Backend Development Leadership Node.js PostgreSQL Project Management Python SQL Agile Business Intelligence Cloud Computing Data Analysis DynamoDB Full Stack Development Java Salesforce C#Amazon Web Services API testing .NET REST API WebRTC Communication Skills CI/CD Customer service Agile methodologies RESTful APIs Mentoring Linux Terraform Troubleshooting Ansible Data modeling Scripting Debugging Customer Success

Posted about 2 hours ago

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🔥 Senior Security Engineer

Posted about 2 hours ago

📍 Canada

🧭 Full-Time

💸 150000.0 - 172000.0 USD per year

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

4+ years of experience working as a SecOps Engineer
Experience mitigating and maintaining compliance controls (e.g. , ISO27001, SOC2, PCI DSS)
Experience with containerized applications running in AWS
A strong understanding of cloud infrastructure networking and security policies
Familiarity with infrastructure as code tools such as Terraform
A history of effective collaboration with development teams to uphold security best practices (OWASP, etc.)
Adept at working with a high degree of autonomy and initiative.
Strong problem-solving, technical design, and analytical skills.
Able to balance multiple competing priorities while solving challenging problems.
Excellent teamwork and communication with other software engineers, your leadership, and others with less technical backgrounds.
Act with compassion and empathy for others. Believe that your team’s success is your success.

💡 Responsibilities

Work with your team and across the Product Engineering teams to design and deploy processes and tools that help our teams raise the security standard at Procurify and deliver a secure product for our customers
Follow DevSecOps principles to shift security left
Work with engineering teams to ensure that security is a major driver of our engineering designs
Complete STRIDE assessments for each significant security engineering feature
Develop best-in-class security policies for our application development and cloud infrastructure
Maintain a high degree of compliance across the organization
Implement and monitor a SIEM tool to detect and remediate security events
Detect, triage and respond to security incidents within SLOs
Collaborate with product development teams to mitigate and prevent security vulnerabilities
Detect, triage, and mitigate vulnerabilities in collaboration with the engineering teams

AWS Python Cloud Computing Cybersecurity Kubernetes Analytical Skills CI/CD Problem Solving RESTful APIs DevOps Terraform Microservices Compliance Excellent communication skills Teamwork

Posted about 2 hours ago

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🔥 Infrastructure Lead

Posted about 2 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Anrok👥 51-100💰 $30,000,000 Series B 11 months agoSaaS Software Tax Preparation

🔧 Requirements

7+ years of experience in software engineering, including managing cloud-deployed software at scale using config-as-code
Experience operating relational databases and maintaining high availability
Experience refactoring application code to better leverage our infrastructure
3+ years experience as the manager or technical lead of an infrastructure team
A security mindset and ability to think carefully about edge cases

💡 Responsibilities

Lead the team that improves Anrok's reliability, security, scalability, and performance.
Set the technical strategy for our infrastructure and drive technical decisions to achieve it.
Collaborate with other engineering teams and cross functionally to meet company goals.
Foster a collaborative and healthy culture of feedback, opportunity, and growth.

Backend Development Leadership PostgreSQL Software Development SQL Agile Cloud Computing GCP Java Kubernetes People Management Software Architecture Spring Spring Boot TypeScript Algorithms Data Structures REST API Communication Skills Analytical Skills CI/CD Problem Solving Mentoring DevOps Terraform Microservices Scripting

Posted about 2 hours ago

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🔥 Senior DevOps / Platform Engineer

Posted about 5 hours ago

📍 Canada

🧭 Full-Time

💸 135000.0 - 150000.0 CAD per year

🔍 Software Development

🏢 Company: Datatonic

🔧 Requirements

4+ years of experience in the DevOps field or as a Platform Engineer
Proficiency in Python, Java, or Go programming languages
In-depth knowledge of CI/CD tools and processes
Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.
Proficiency with technologies such as Terraform and Kubernetes

💡 Responsibilities

Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.
Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.
Define and embed best practices into our internal processes to enhance the quality and consistency of our work
Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies
Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements
Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials
Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers
Collaborate closely with partners such as Google to leverage their technologies effectively
Guide team members, fostering a culture of growth and innovation
Provide expert advice to customers on DevOps best practices
Establish and enhance DevOps functions within clients’ organisations
Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery

Leadership Python Agile GCP Kubernetes Machine Learning Data engineering Communication Skills Analytical Skills CI/CD Problem Solving Customer service RESTful APIs Mentoring Linux DevOps Terraform Excellent communication skills Teamwork Scripting

Posted about 5 hours ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 6 hours ago

📍 United States of America

🧭 Full-Time

🔍 Biotechnology, Pharmaceutical, Healthcare

🏢 Company: clarivate_careers

🔧 Requirements

PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.

💡 Responsibilities

Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
Assist in designing and executing research methodologies to address business challenges and provide recommendations.
Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
Support proposal development by contributing to specific elements of the proposal.
Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

AWS Docker Python SQL Apache Airflow Apache Hadoop Cloud Computing Data Analysis Data Mining ETL Flask Image Processing Kafka Kubernetes Machine Learning Numpy PyTorch Algorithms Data engineering Data science Data Structures RDBMS Nosql Pandas Tensorflow CI/CD RESTful APIs Terraform JSON Data visualization Ansible Data modeling Data analytics Data management

Posted about 6 hours ago

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🔥 Principal Software Engineer - Ops Cloud Platform

Posted about 6 hours ago

📍 Canada

🧭 Full-Time

💸 177000.0 - 263000.0 CAD per year

🔍 Software Development

🏢 Company: PagerDuty👥 1001-5000💰 $350,000,000 Post-IPO Debt over 1 year ago🫂 Last layoff about 2 years agoIT Management Cloud Computing SaaS Analytics Information Technology Software

🔧 Requirements

At least 12 years of demonstrated hands-on experience in software engineering, architecture, and design at leading SaaS companies.
Proven record of delivering enterprise-scale platforms and driving significant technical change across multiple teams or domains.
Deep expertise in backend architectures, including microservices, APIs, and cloud-native technologies.
Proficiency in modern programming languages (e.g., Java, Go, Python, Elixir, Ruby, or similar), strong foundations in distributed systems, security practices, and cost-effective scaling strategies.
Proven ability to define and communicate a long-term technical roadmap that impacts business strategy.
Experience leading cross-team architecture discussions, building technical prototypes, and driving the adoption of best practices across diverse engineering teams.

💡 Responsibilities

Define and articulate the long-range technical roadmaps and architecture for our core SaaS platform.
Develop, prototype, and implement complex, scalable solutions in collaboration with cross-team leaders across our Authentication and Authorization, Monetization and Entitlements, the Developer Ecosystem and Public APIs, and Account and Admin Experience teams.
Evaluate new technologies and design innovative solutions that drive platform evolution over a 3–5 year horizon.
Act as a technical leader and consultant across multiple teams, breaking down ambiguous problems and translating them into effective engineering solutions.
Foster a culture of collaboration by mentoring engineers, facilitating technical discussions, and ensuring that design decisions are clearly articulated across the teams.
Oversee and contribute to the technical design and evolving architecture of critical systems.
Ensure that designs meet rigorous standards in coding, reliability, scalability, security, and cost efficiency.
Provide guidance on technical decisions that align with short-term project needs and long-term strategic goals.
Serve as a technical resource for high-impact projects and complex problem-solving.
Coach and mentor Senior and Staff engineers, establishing development standards and fostering a learning environment.
Work closely with Product Managers, Engineering Managers, and other stakeholders to prioritize engineering initiatives that align with overall business objectives, including customer experience, cost optimization, and operational excellence.
Ensure that each team’s roadmap is harmonized with the overarching technical vision.
Lead efforts to evaluate emerging technologies and create prototypes that address complex challenges within our platform.
Use data-driven approaches to validate architectural ideas and measure their impact on system performance and customer success.

AWS Backend Development Leadership Python Software Development SQL Cloud Computing Design Patterns Java Kubernetes Ruby Software Architecture Cross-functional Team Leadership Data Structures Go Communication Skills CI/CD Problem Solving Agile methodologies RESTful APIs Mentoring DevOps Terraform Microservices JSON SaaS

Posted about 6 hours ago

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🔥 IT Security Administrator

Posted about 16 hours ago

📍 UK, Europe, Asia

🧭 Full-Time

🔍 Blockchain

🏢 Company: Babylon Labs

🔧 Requirements

Proven experience as an IT Administrator, ideally in a startup environment with a globally distributed workforce.
Strong understanding of threat models in blockchain environment
Proactive application of security principles, including Zero Trust architecture, and their application in a remote work context.
Experience with MDM solutions, Google Workspace, SSO, and cloud SaaS, with a focus on global accessibility and security.
Proficiency in scripting languages (e.g., Python, Bash).
Experience with security tools and technologies suitable for remote management.
Excellent problem-solving and troubleshooting skills, with the ability to adapt to diverse technical environments.
Strong communication and interpersonal skills, with the ability to collaborate effectively with a geographically dispersed team.
Ability to work independently and as part of a team, managing priorities and deadlines
Experience in international hardware shipping
Experience securing GitHub access.
Experience with blockchain technologies

💡 Responsibilities

Design, implement, and maintain a secure IT infrastructure, adhering to Zero Trust principles
Develop and enforce security policies and procedures for all IT systems and devices, taking into account diverse regional regulations and network conditions.
Conduct regular security audits and vulnerability assessments, with a focus on remote access and endpoint security.
Manage device procurement, distribution, and lifecycle for a geographically diverse team
Implement and manage a Mobile Device Management (MDM) solution to ensure device security and compliance.
Administer Google Workspace, SSO solutions, SaaS application and cloud infrastructure (e.g., AWS, GCP, Azure), ensuring secure access and configuration
Manage user accounts, permissions, and access control across all systems with the application of principles such as least privilege and separation of duty
Implement and maintain Single Sign-On (SSO) and multi-factor authentication (MFA)
Implement zero trust secure access from any location.
Evaluate, select, and onboard security solutions (e.g., endpoint protection, SIEM, vulnerability scanners)
Integrate security tools with existing systems and workflows, ensuring effective threat detection and response.
Develop and maintain scripts and automation tools to streamline IT operations and enhance security
Automate security tasks, such as patch management, vulnerability scanning or secure configuration enforcement
Manage relationships with IT and security vendors and service providers
Evaluate vendor security practices and ensure compliance with company policies
Participate in security incident response and investigations, coordinating with remote team members and external partners.
Provide technical support to employees across multiple time zones and locations.
Conduct IT security awareness training for employees, tailored to the specific risks and challenges of a distributed workforce.

AWS Python Bash Blockchain Cloud Computing Cybersecurity GCP Azure CI/CD Linux DevOps Terraform Scripting SaaS

Posted about 16 hours ago

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🔥 Site Reliability Engineer

Posted about 17 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: TCGPlayer_External_Career

🔧 Requirements

5+ years of experience in Site Reliability Engineering or related roles
Experience with an enterprise monitoring solution (New Relic, Scalyr, Datadog, Etc)
Experience managing Linux and/or Windows environments
Experience with IaaS and PaaS solutions (i.e. AWS, GCP, Azure, etc.)
Experience with Infrastructure as Code (Terraform or Helm)
Knowledge of Kubernetes / ECS orchestration, and containerization (e.g. Docker)
Demonstrable expertise around specifying, designing and/or implementing system health, performance monitoring tools and software management tools for 24x7 environments
Proficiency in writing code / scripts to automate tasks
Excellent critical thinking and solving skills

💡 Responsibilities

Innovate, build, and evangelize the practice of site reliability so that TCGPlayer can deliver excellent customer experiences.
Define and measure key performance metrics, such as SLAs and Mean Time Between Failures (MTBF), using those metrics to identify trends and measure the impact on the business.
Develop and maintain up-to-date operational procedures, including runbooks, to adapt to evolving needs.
Anticipate system failures through practices like chaos engineering and tabletop exercises, and establish processes to learn from operational incidents.
Foster strong relationships within the team and across departments while cultivating a communicative, supportive, and results-oriented culture.

AWS Docker Cloud Computing GCP Kubernetes Azure CI/CD RESTful APIs Linux DevOps Terraform Microservices Scripting

Posted about 17 hours ago

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🔥 Manager, DevOps and Security

Posted about 18 hours ago

📍 Canada

🧭 Full-Time

💸 175000.0 - 200000.0 CAD per year

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud Computing SaaS Supply Chain Management Enterprise Software FinTech Software Procurement

🔧 Requirements

5+ years of DevOps, Security, DevSecOps experience, shipping and supporting enterprise grade software in AWS
Experience managing a team of engineers and growing leadership on the team
Building a product at scale on top of AWS
Experience running a containerized application in Kubernetes
Experience working with SIEM tools
Deep knowledge of continuous integration and deployment tools and practices using tools like CircleCI and/or ArgoCD
Managing a web-based SaaS application collaboratively with application engineering teams
Experience with developing and managing infrastructure as code with Terraform
Expert knowledge of monitoring stacks like EFK, Grafana/ Prometheus
Experience working in a highly secure environment with compliance requirements such as SOC 2 or ISO27001
Strong communication and consensus building skills
Demonstrated track record of leaving every team and process better than you found it

💡 Responsibilities

Managing 4-8 DevOps, Security, and Site Reliability Engineers.
Working on a world-class tech stack that will support the company’s growth
Working with engineering teams to shift security left in the software development cycle and helping us create security-as-code.
Growing a culture of security-first thinking and helping grow security leadership across the organization
Managing our security incident response team to ensure prompt and thorough responses for ourselves and our customers
Operating our Security information and event management system to manage threats to Procurify
Collaborating with leadership roles across our engineering organization to support DevSecOps best practices and to enable those teams to own their own infrastructure. We use Terraform Cloud to help facilitate this for our teams.
Joining annual hackathons and immersing yourself in all things fintech innovation.
Rotating between projects and committing to continuous learning with our lean kanban processes.
Helping your team build relationships across functions with Development, Product, Operations, Support and other teams to ensure Procurify's continuing success.
Articulate and quantify cybersecurity risks through comprehensive metrics, ensuring effective communication to leadership for informed decision-making.

AWS Python AWS EKS Bash Kibana Kubernetes REST API CI/CD Linux DevOps Terraform Compliance JSON Ansible

Posted about 18 hours ago

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🔥 Senior Platform Engineer, Machine Learning

Posted about 20 hours ago

📍 United States

🧭 Full-Time

🔍 Audit and advisory industry

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

3-4 years of experience in software engineering, DevOps, or related field with a focus on ML systems
Experience with ML frameworks
Experience with cloud platforms, preferably AWS
Experience with container runtime architectures, preferably Kubernetes
Proficiency with at least one programming language, preferably Python or Typescript
Familiarity with CI/CD practices and tools
Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation
Strong understanding of distributed systems and microservices architecture
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Design and implement infrastructure for ML model management, including training, deployment, and monitoring
Build and maintain platforms for running ML algorithms at scale
Develop systems for A/B testing, performance monitoring, and continuous model training
Create and manage ETL infrastructure to support ML workflows
Implement best practices for MLOps, including version control for models and datasets
Collaborate with ML Engineers to optimize model performance and resource utilization
Ensure the scalability, reliability, and security of ML systems
Stay current with the latest advancements in MLOps and cloud technologies
Contribute to the development of internal tools and frameworks to improve ML workflow efficiency
Be an essential technical contributor at a Series B-stage company as it scales

AWS Docker Python Cloud Computing ETL Kubernetes Machine Learning CI/CD Terraform Microservices Software Engineering

Posted about 20 hours ago

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