Senior Product Manager

The M365 Core Platform team is tasked with building products to identify opportu...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
2+ years experience with cloud infrastructure, AI/ML platforms, or large-scale distributed systems
2+ years analytical and modeling skills
experience with forecasting, telemetry, and financial modeling
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Design and implement cost-aware planning frameworks for Microsoft 365 Core, experimentation, and AI workloads
Develop and drive an efficiency roadmap spanning hardware choices, workload orchestration, and fleet operations
Manage the full lifecycle of capacity planning and forecasting, including demand forecasting, supply planning, and alignment with finance and operations teams
Advance Copilot by identifying costs and integrating insights into the efficiency roadmap
Collaborate with infrastructure teams to improve control plane capabilities for faster experimentation, model selection, benchmarking, and production deployment
Serve as a connector across core infrastructure teams, Copilot infrastructure, and Azure AI to ensure shared goals, and aligned execution

Fulltime

Senior Infrastructure Kafka Engineer

We are seeking a Senior Infrastructure - Kafka Engineer to join a high-performin...

Location

United States , Phoenix

Salary:

Not provided

Technologent

Expiration Date

Until further notice

Requirements

7+ years of experience in infrastructure engineering with a strong focus on: Kafka administration across on-prem and cloud environments
Kafka ecosystem components including brokers, topics, consumer groups, replication, and failover
Messaging systems such as MQ
SQL and NoSQL database integration
Proven experience designing, deploying, and scaling Kafka clusters and connector infrastructure in production and DR environments
Hands-on experience building real-time data pipelines using Kafka producers and streaming consumers such as Spark Streaming
Strong proficiency with at least one major cloud platform: AWS, GCP, or Azure
Experience with event-driven architectures, containerization, and DevOps practices
Experience with observability and monitoring tools such as Splunk, Datadog, and Grafana
Solid understanding of networking, Linux/Windows operating systems, and core diagnostic tools

Job Responsibility

Administer, configure, and troubleshoot Kafka clusters across on-prem and cloud environments, including broker and cluster configuration, partitioning, and performance tuning
Design and implement scalable, highly available Kafka infrastructure, including disaster recovery and multi-environment strategies
Integrate Kafka with upstream and downstream systems using Kafka Connect and related connectors, including MQ, MongoDB, Oracle, SQL Server, PostgreSQL, and MySQL
Build and support real-time data pipelines using Kafka producers and streaming consumers such as Spark Streaming and Kafka Streams
Automate infrastructure provisioning and configuration across environments using Terraform and modern DevOps practices
Deploy and manage Kafka components and clients in production and disaster recovery environments, ensuring resilience and recoverability
Lead a small team of engineers and technicians in monitoring, diagnosis, and remediation of infrastructure issues
Implement and maintain comprehensive monitoring, logging, and alerting using tools such as Splunk, Datadog, and Grafana
Perform proactive health checks and capacity planning to identify and resolve issues before they impact service
Serve as a primary point of contact for daily operations, major incidents, and escalations related to Kafka and associated infrastructure

Fulltime

Senior Infrastructure Engineer

Senior Infrastructure - Kafka Engineer, Enterprise Data Engineering. We are seek...

Location

United States , Phoenix; Westwood; Johnston; Iselin; Plano

Salary:

125000.00 - 145000.00 USD / Year

Citizens Bank

Expiration Date

Until further notice

Requirements

7 or more years of experience in Kafka administration on-prem and cloud, messaging systems, and database integration
Proficiency with cloud platforms such as AWS, GCP, or Azure, event-driven architecture, DevOps, and containerization
Experience deploying Kafka clients and brokers in production and disaster recovery environments
Proven ability to scale Kafka clusters and connector infrastructure
Hands-on experience building real-time data pipelines using Kafka producers and Spark Streaming consumers
Familiarity with monitoring tools such as Splunk, Datadog, and Grafana
Strong knowledge of source control systems such as SVN and Git
Solid understanding of networking protocols, operating systems, and diagnostic tools
Proficiency in scripting languages such as PowerShell, Bash, Python, and Perl
Strong analytical and decision-making skills, even with limited information

Job Responsibility

Lead a team of engineers and technicians in monitoring, diagnosing, and resolving infrastructure issues using event-based management
Administer and troubleshoot Kafka clusters, including configuration and performance tuning
Integrate Kafka with various systems using connectors such as MQ, MongoDB, Oracle, SQL Server, PostgreSQL, and MySQL
Automate infrastructure setup across environments using Terraform
Provide senior-level support and troubleshooting across a wide range of technologies
Collaborate within agile teams to drive modern development practices and product vision
Serve as the primary point of contact for daily operations and incident management
Conduct proactive monitoring to identify and mitigate potential service disruptions
Document actions, create reports, and establish escalation procedures
Audit support tickets to identify patterns and reduce downtime

What we offer

comprehensive medical, dental and vision coverage
retirement benefits
maternity/paternity leave
flexible work arrangements
education reimbursement
wellness programs
competitive pay
opportunity to earn an annual discretionary bonus

Fulltime

Senior Software Engineer - Database Connectors

Fivetran is building data pipelines to power the modern data stack for thousands...

Location

Serbia , Novi Sad

Salary:

Not provided

Fivetran

Expiration Date

Until further notice

Requirements

5+ years of experience in the software industry with a passion for solving complex software engineering problems
Strong knowledge of and experience with OOP, preferably Java
Strong knowledge in database and query performance tuning
Writes well-structured and performant code
Able to define project requirements and be proficient at designing the software and infrastructure to satisfy them
Experience understanding customer requirements and/or problems and breaking them down into engineering tasks
Understands and can explain how to build high performance systems and processes
Enjoy mentoring and growing junior developers
Strong written and verbal English skills to support complex analysis
Experience interacting with continuous integration tools like Buildkite/Circle CI

Job Responsibility

Independently design, develop, and support of our intuitive best-in-class enterprise capabilities enabling Fivetran’s largest customers
Manage and lead projects, coordinating with different stakeholders to ensure timely and quality delivery in an iterative development environment
Maintain and improve existing enterprise features
call for improvements in Fivetran's codebase and infrastructure
Demonstrably maintain high standards for code quality, performance, scalability, and reliability by conducting thorough testing and reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Stay up-to-date with emerging technologies and industry trends
Conduct design and code reviews
Participate periodically in on-call rotation

What we offer

100% employer-paid medical insurance
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Vp, Business Technology

Genius Sports is transforming how enterprise technology is built and experienced...

Location

United Kingdom , London

Salary:

Not provided

Genius Sports

Expiration Date

Until further notice

Requirements

Proven experience leading an enterprise technology or business systems function in a fast-moving, commercially driven organization, with direct accountability for both strategic platforms and operational IT delivery. You have an engineering background and have built things, not just managed vendors
Deep familiarity with the tools in scope: Salesforce, Atlassian, Zendesk, Microsoft 365, Slack, and AI productivity platforms. You do not need to have run all of them simultaneously, but you need to know how they fit together
A track record of translating business requirements into technology decisions, and technology investments into measurable business outcomes
Strong commercial instincts. You understand vendor dynamics, know how to negotiate, and do not let the portfolio sprawl
Experience managing cross-functional stakeholders at senior level, including Finance, HR, Sales, and Operations leaders who have strong opinions about the tools they use
Solid grounding in identity and access management, endpoint management, and IT operations governance, enough to set standards and hold a team accountable. Alongside this, hands-on experience with infrastructure-as-code (Terraform), CI/CD pipelines, cloud platforms (AWS or Azure), and API-layer integration. You can work in code, review it, and build teams that ship it
Clear, direct communicator who can present to ExCo and board audiences without jargon and with a sharp focus on business impact
Hands-on experience deploying AI and automation tooling in production, including agentic workflows, MCP Servers, or API-integrated AI platforms. A grounded view of where generative AI adds measurable value in an enterprise context, and the governance instincts to deploy it responsibly
Experience operating within a SOX-compliant or similarly governed environment is an advantage

Job Responsibility

Lead the strategy, roadmap, and day-to-day operations for Genius Sports' core business systems, including Salesforce, Atlassian (Jira and Confluence), Zendesk, and Microsoft 365
Define the integration architecture between business systems and enterprise platforms, ensuring data flows cleanly between tools without creating operational debt
Manage vendor relationships in close partnership with Strategic Sourcing
Own the Workday integration layer, working with HR and Finance system owners to ensure data integrity and operational reliability across connected platforms. Position the team as a trusted integration partner as broader Workday ownership evolves
Architect and build the internal automation platform that will underpin how Genius Sports automates workflows, integrates systems, and delivers self-service capabilities across the business. This is not a buy-only function: you will be building
Own the IaC and DevOps practices for the Business Technology estate, using Terraform, CI/CD pipelines, and infrastructure-as-code standards to ensure platform environments are version-controlled, auditable, and scalable
Lead the design and deployment of agentic automation workflows, including integrations built on MCP Servers, AWS Bedrock, Zapier, and API-layer connectors that reduce manual process overhead across business functions
Partner with Engineering and Data teams to ensure the internal platform is built to the same standards as product engineering: proper source control, code review, deployment pipelines, and documentation
Drive the team's evolution from reactive IT support to proactive platform engineering, embedding engineering culture, practices, and accountability into how the function operates
Own the strategy and governance for enterprise AI and productivity tools, including Claude, ChatGPT, and Microsoft Copilot, ensuring deployment aligns with the company's AI governance framework

What we offer

competitive salary and range of benefits
support employee wellbeing and help you grow your skills, experience and career

Fulltime

Senior Full Stack Developer

We are seeking a highly accomplished and multi-faceted Senior Full Stack Develop...

Location

Canada , Toronto

Salary:

Not provided

Randstad

Expiration Date

August 03, 2026

Requirements

5+ years of professional full-stack development experience utilizing Microsoft .NET (C#) web architectures
Direct, hands-on experience building applications with .NET 9 (ASP.NET MVC and Blazor WebAssembly standalone) alongside relational and NoSQL frameworks
High proficiency in Python and JavaScript for executing advanced web application logic, data transformations, and automation
Deep structural understanding and practical experience architecting solutions on the Azure Cloud platform
2+ years of dedicated experience building or optimizing cloud-based big data pipelines and distributed computing workloads
Advanced Cloud Infrastructure: Direct experience working with advanced cloud data integration suites, monitoring frameworks, and automated computation services
Modern Database Connectors: Hands-on familiarity implementing specific enterprise data clients, including modern Cosmos DB and SQL data libraries
Mobile Deployment: Familiarity with cross-platform mobile frameworks (such as .NET MAUI) and deploying applications to official application storefronts
Accessibility Compliance: Functional working knowledge of building digital products that conform to strict digital web accessibility standards
Independent Execution: Proven capability to operate with absolute autonomy, demonstrating strong personal initiative and lifecycle self-management

Job Responsibility

Develop, debug, and maintain high-performance, secure web applications utilizing modern .NET and frontend architecture patterns
Design and deploy Progressive Web Applications (PWAs) to optimize digital service delivery channels
Write clean, maintainable, and highly efficient script files to execute data processing, automation, and backend infrastructure tasks
Design and optimize data storage solutions, establishing secure connectivity with relational systems and advanced NoSQL data stores
Build, tune, and manage high-throughput cloud data pipelines to support large-scale data acquisition, processing, and analysis workloads
Ensure cloud architectures are configured for maximum reliability and scalability, utilizing cloud diagnostics to monitor stack health
Participate in building robust DevOps deployment pipelines and refining automated CI/CD release processes
Participate in rigorous peer code reviews to enforce established engineering standards, security best practices, and compliance controls
Triage and resolve complex application bottlenecks, data sync conflicts, and performance issues across both development and production environments
Act as a core technical liaison, collaborating with cross-functional squads to translate requirements into deployed technical assets

What we offer

Modern Tech Stack: Work directly with cutting-edge frameworks including .NET 9, ASP.NET MVC, and Blazor WebAssembly
Cloud & Big Data Depth: Gain enterprise experience building public-facing portals integrated with Azure Cosmos DB and Databricks data lakes
Full-Stack Ownership: Lead end-to-end development, from designing responsive mobile web views to engineering robust backend automation pipelines
Collaborative Onsite Culture: Partner closely with cross-functional engineering, DevOps, and database teams inside a high-energy professional workspace

Fulltime

Kafka Infrastructure Engineer

We are seeking a highly skilled and motivated Senior Infrastructure Engineer to ...

Location

United States , Phoenix; Johnston; Iselin; Westwood; Plano

Salary:

125000.00 - 155000.00 USD / Year

Citizens Bank

Expiration Date

Until further notice

Requirements

7 or more years of experience in Kafka administration on-prem and cloud, messaging systems, and database integration
Proficiency with cloud platforms such as AWS, GCP, or Azure, event-driven architecture, DevOps, and containerization
Experience deploying Kafka clients and brokers in production and disaster recovery environments
Proven ability to scale Kafka clusters and connector infrastructure
Hands-on experience building real-time data pipelines using Kafka producers and Spark Streaming consumers
Familiarity with monitoring tools such as Splunk, Datadog, and Grafana
Strong knowledge of source control systems such as SVN and Git
Solid understanding of networking protocols, operating systems, and diagnostic tools
Proficiency in scripting languages such as PowerShell, Bash, Python, and Perl
Strong analytical and decision-making skills, even with limited information

Job Responsibility

Lead a team of engineers and technicians in monitoring, diagnosing, and resolving infrastructure issues using event-based management
Administer and troubleshoot Kafka clusters, including configuration and performance tuning
Integrate Kafka with various systems using connectors such as MQ, MongoDB, Oracle, SQL Server, PostgreSQL, and MySQL
Automate infrastructure setup across environments using Terraform
Provide senior-level support and troubleshooting across a wide range of technologies
Collaborate within agile teams to drive modern development practices and product vision
Serve as the primary point of contact for daily operations and incident management
Conduct proactive monitoring to identify and mitigate potential service disruptions
Document actions, create reports, and establish escalation procedures
Audit support tickets to identify patterns and reduce downtime

What we offer

Medical, dental and vision coverage
Retirement benefits
Maternity/paternity leave
Flexible work arrangements
Education reimbursement
Wellness programs

Fulltime

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...

Location

United States , Pleasanton

Salary:

245000.00 - 307000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Proficiency in containerization technologies (e.g., Docker, Kubernetes)
Proficient in scripting languages (e.g., Bash, python) for automation
Experience with workflow orchestration tools (e.g., Apache Airflow)

Job Responsibility

Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

Fulltime

Select Country

Senior Product Manager - Cloud Connectors & Cloud Infrastructure

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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