Manager, Software Engineering - AI and Data Platform Job at Blackbaud

Principal Software Engineering Manager - Data Analytics

Build and operate core infrastructure services that power Fabric Data Engineerin...

Location

Canada , Vancouver

Salary:

142400.00 - 257500.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
4+ years people management experience.
Software engineering foundation (data structures, algorithms, testing, debugging, performance) with the ability to guide and review technical decisions.
Demonstrated experience leading teams that build and ship production infrastructure (backend services, distributed systems, platform components) in cloud environments.
Understanding of distributed systems concepts, including fault tolerance, scaling, scheduling, and resource management, and ability to apply them to team-level architecture.
Proficiency in at least one backend/system language (e.g., Java, Scala, C#, C++, Python) and the ability to stay hands-on enough to unblock teams and assess designs.
Proven ability to ramp up quickly in new domains, tools, and codebases
growth mindset and learning agility.

Job Responsibility

Lead the design and delivery of world-class experiences for a new big data cloud offering, with emphasis on scale, reliability, and performance.
Manage and grow a team building core infrastructure services for data engineering and analytics workloads (compute, runtime services, job/session management, configuration, platform integrations).
Own technical strategy and execution end-to-end: translate product requirements into architecture, milestones, and high-quality production outcomes.
Drive operational excellence by establishing troubleshooting practices (logs, metrics, traces), guiding root-cause analysis, and converting operational learnings into engineering improvements.
Improve platform scalability, resiliency, and observability, including automation to reduce operational toil
ensure best practices are adopted consistently across the team.
Partner cross-functionally with product and engineering leaders to deliver end-to-end features, align priorities, and continuously raise the quality bar.
Coach and mentor engineers, provide technical guidance and performance feedback, and foster a culture of ownership, high standards, and continuous learning.

Fulltime

Director - IT Senior Group Manager (Platform Engineering and Optimization)

The Director - IT Senior Group Manager ( C15) is a senior management level posit...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant leadership and delivery experience in an Engineering focused role with extensive experience in global business, functional and people management
relevant degree in Engineering or computer science from reputed school. Masters degree preferred
Experience working in Financial Services or a large complex and/or global environment
Exposure to working with AI-assisted software development models, and experience implementing Gen AI use cases
Experience providing leadership for scaled agile release trains preferred
program management experience helpful
Demonstrated ability to influence remote, senior stakeholders including senior business executives
Experience in tracking and monitoring delivery, productivity and organizational health metrics
Experience planning, forecasting and managing technology budgets at team level, including project tracking and governance
Demonstrated systems thinking, critical analysis and design thinking skills

Job Responsibility

Lead and manage a set of engineering teams to deliver business and technology value, working with peers and partners. Actively speed up and improve engineering practices ensuring higher levels of productivity and quality
Define and implement the workforce strategy creating an organization of happy, productive, engaged, co-located engineering teams comprised of direct and supplier staff located globally, including workforce planning, hiring, performance , and pay management
Implement career development frameworks and processes for the team, providing coaching, mentoring and development of engineering and related job families
Be a great partner, but also hold your peers (development, testing , Architecture, Infra team etc) accountable for partnering in delivery
Managing Lower environment operations, observability, test data management and test automation will be key focus areas
Be a strong advocate for and drive the adoption of modern engineering practices including scaled agile, DevOps, CI/CD and automation, and build a culture of engineering and continuous improvement, with a focus on velocity, quality and agility
Stay abreast of domain and industry developments and advocate relevant technology strategies as appropriate, including the use of AI, cloud, data technologies, and third-party products, and drive a culture of innovation
Develop and implement the technology roadmap and strategy and provide ownership and direction for technology products, working in partnership with the application development team, business stakeholders, and other technology partners
Build productive relationships with business counterparts and support the execution of key programs working in partnership with business, infrastructure and security teams
Oversee the technology budget for the function and manage the budget and forecasts to ensure relevant targets are met

Fulltime

Engineering Manager, AI Platform

We are seeking a highly skilled and motivated Engineering Manager to lead our AI...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
Minimum 10+ years of experience in software engineering or AI/ML development
At least 3 years in a leadership role managing high-performing teams
Proficiency in programming languages such as Python
Strong understanding of AI/ML frameworks and libraries (e.g.,Langgraph)
Experience with cloud platforms (e.g., Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
Proven ability to build, lead, and inspire a diverse team
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Passionate about AI and technology with a keen interest in staying updated on the latest trends

Job Responsibility

Develop and execute the strategy for the AI team
Build, mentor, and lead a high-performing team of software engineers, and AI specialists
Partner closely with Product, Design, and Operations to define the roadmap
Serve as the accountable owner for the architecture and system quality across our AI services
Guide architectural designs, review critical models and APIs
Champion best practices for the entire AI lifecycle
Own the operational health of our production AI systems
Lead the talent strategy for your organization
Effectively communicate progress, insights, and the business impact of AI initiatives to executive leadership

Fulltime

Senior Manager, AI Platform Engineering

Socure is building the identity trust infrastructure for the digital economy — v...

Location

United States

Salary:

190000.00 - 210000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

8+ years of professional software engineering experience, including time spent building or operating large-scale ML, data, or distributed systems platforms
3+ years of engineering leadership experience managing multiple teams or engineering managers
Strong technical background in ML infrastructure, data engineering, and/or cloud-native distributed systems
Demonstrated experience delivering complex, cross-functional platform initiatives
Excellent communication and stakeholder management skills, with the ability to translate between technical detail and business priorities
Experience working in fast-paced, iterative environments using modern development practices

Job Responsibility

Develop and own the roadmap for Socure’s AI/ML platform, including data and feature engineering workflows, training infrastructure, experimentation tooling, model deployment/serving, monitoring, and governance
Define architecture and standards that create clear, scalable, and secure paths for building and operating AI systems
Assess technology options and drive consolidation across the company to reduce fragmentation and improve consistency across the ML toolchain
Partner with Data Science, Engineering, Product, and Sales-Enablement teams to develop AI infrastructure that delights Customers
Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, experimentation, training, model registry, deployment, and continuous monitoring
Partner closely with Data Science to enable fast, reproducible experimentation and reduce operational friction
Ensure the platform delivers reliability, traceability, observability, and performance for both batch and real-time model workloads
Guide the team to deliver high-quality platform capabilities with predictable timelines and strong technical rigor
Remove cross-team bottlenecks, align dependencies, and ensure seamless execution across Data, Infrastructure, and Product
Establish SLAs, operational standards, and production-readiness guidelines for ML pipelines and serving systems

What we offer

Offers Equity
Offers Bonus
benefits

Fulltime

Sr Staff Software Engineer (Data & Ai Platform)

We are looking for a talented and experienced Sr Staff Software Engineer to join...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
At least 5 years of experience with Python
Minimum of 2 years of hands-on experience with AWS
Proven experience with the full Software Development Life Cycle (SDLC), including design, development, testing, and deployment
Excellent problem-solving skills and strong attention to detail
Ability to manage multiple projects simultaneously and strong organizational skills

Job Responsibility

Define and implement best practices for the R&D platform
Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions
Work on edge technologies and cloud platforms to enhance our services
Participate in all phases of the SDLC, including design, development, testing, and deployment
Ensure high ROI on deliverables by optimizing processes and solutions
Share knowledge and best practices across the company to promote a culture of continuous improvement

Fulltime

Senior Software Engineer, AI Data Platform (CoreAI)

Join Microsoft’s CoreAI – AI Platform team in Bay Area/Redmond to build the AI D...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Job Responsibility

Design and build scalable data pipelines and services to automate the dataset lifecycle (ingestion, registration, validation, PII handling, discovery, sharing, lineage), including intelligent agent-driven automation for key stages
Develop secure and reliable infrastructure for data access, entitlement management, and operational support across global time zones
Implement governance and compliance tooling to ensure data integrity, auditability, and adherence to regulatory standards
Create user-facing tools and APIs that make datasets easily discoverable and reusable
Contribute to strategic extensions such as continuous feedback loops, human-in-the-loop workflows, and data intelligence services for internal and external stakeholders
Collaborate with cross-org partners to align priorities and deliver company-wide impact

Fulltime

Senior Software Engineer- AI and Data Governance

At GEICO, we offer a rewarding career where your ambitions are met with endless ...

Location

United States , Palo Alto

Salary:

100000.00 - 215000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Advance knowledge of at least one modern OOP languages such as Go, Python, Java, etc.
Advance knowledge of web technologies such as HTML, CSS, JavaScript is preferred
Understand open-source databases like MySQL, PostgreSQL, etc., familiar with No-SQL databases like Cassandra, MongoDB, Elasticsearch, etc.
Experience in architecting, designing, building automation, workflows, custom objects/apps, declarative functionality, triggers, migration tools in BMC Helix platform and transition such platform to Open Source is a big plus
Experience building and configuring flows, and process builders
Strong understanding of web service integration (GRPC / REST) and enterprise middleware integration tiers
Ability to articulate channel dataflow and process flow including email, messaging, chat, mobile Push and SDK's
Excellent communication skills – needs to be able to lead projects from the front and interact with clients and sponsors on a regular basis
Experience partnering with engineering teams and transferring research to production
Experience with continuous delivery (CI/CD) and Infrastructure as Code

Job Responsibility

Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
Develop and execute technical software development strategy for the Platform Engineering domain including Service Management, Business Continuity, Recovery, Incident Response and Paging platforms
Accountable for the quality, usability, and performance of the solutions
Deep hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes
Consistently share best practices and improve processes within and across teams
Willing to take on-call and operational support
Experience designing recommendation systems, ranking, personalization, similarity search and embeddings
Experience with NLP, LLMs and RAG, as well as translating natural language into graph or data queries
Experience designing scalable AI systems and Data pipelines

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Engineering Manager - AI Cloud Platform

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serv...

Location

United States , San Francisco

Salary:

330000.00 - 440000.00 USD / Year

Lambda

Expiration Date

Until further notice

Requirements

5+ years in a full-time management role at a high-growth technology company
10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems
Proven record of leading and building engineering teams that work on mission-critical, high performance systems
Proven track record leading teams that deliver enterprise features or governance platforms
Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity
Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution
Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability
Ability to understand, review and structure Python and Go applications

Job Responsibility

Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities
Drive execution of roadmap features including cluster lifecycle automation
Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers
Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design
Hire, mentor, and grow a team of engineers, providing career development and feedback
Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack
Contribute to a culture of high performance, documentation, humility, and curiosity
Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security
Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making

What we offer

Generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use

Fulltime

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Manager, Software Engineering - AI and Data Platform

Job Description

Job Responsibility

Requirements

What we offer

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