Software Engineering Manager, Registry Job at Babylist

Engineering Manager - CC UI Apps (Kafka, Governance, and Tableflow)

We’re not just building better tech. We’re rewriting how data moves and what the...

Location

Salary:

244700.00 - 287500.00 USD / Year

Confluent

Expiration Date

Until further notice

Requirements

Minimum of 8+ years of software development experience
3+ years of engineering management experience, including leading teams that deliver complex, customer-facing cloud experiences
Strong experience with Kafka, data streaming platforms, or data governance/catalog products (e.g., Schema Registry, data catalogs, lineage, or table/warehouse integrations)
Technical expertise in large scale systems engineering or distributed systems, with hands-on experience building or integrating with cloud-native services
A strong track record of driving execution across multiple concurrent initiatives
Demonstrated ability to influence and align cross-functional partners
Experience hiring while maintaining a high talent bar, providing effective coaching and feedback
BS Degree in Computer Science, Engineering, or equivalent experience

Job Responsibility

Own the overall vision and execution for Kafka UI, Tableflow UI, and Governance UI
Work closely with product management, design, and TPMs to build and drive the roadmap
Partner with backend and platform teams to define clear API contracts and sequencing
Raise the operational bar for this team by instilling strong execution practices
Build, grow, and lead a team of engineers working on cloud UI applications
Lean in technically where it matters most

What we offer

Remote-First Work
Robust Insurance Benefits
Flexible Time Away
Offers Equity

Fulltime

Systems Engineering Advisor - Software Deployment & BigFix Endpoint Management

We are currently seeking a Systems Engineering Advisor - Software Deployment & B...

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Design, build, and manage end-to-end software deployment workflows using HCL BigFix Software Distribution and BigFix Lifecycle modules
Package, test, and deploy enterprise applications in MSI, MSIX, EXE, and script-based formats through BigFix deployment tasks and Fixlets
Manage the full software deployment lifecycle — from requirements gathering, packaging, testing, staged rollout, to post-deployment validation
Define and enforce deployment standards, naming conventions, and software distribution policies across the enterprise
Develop and maintain BigFix Baselines for bundled application deployments and coordinated software rollouts
Manage software deployment targeting using BigFix Smart Groups, relevance-based scoping, and deployment ring strategies for controlled rollouts
Coordinate application deployments with change management processes, ensuring all deployments follow approved CAB procedures
Perform pre- and post-deployment validation using BigFix Interact real-time queries to confirm successful software installation across targeted endpoints
Support emergency software deployments and out-of-band distribution requests within defined SLA windows
Maintain an up-to-date software catalog within BigFix, ensuring version currency and retirement of obsolete packages

Job Responsibility

Design, build, and manage end-to-end software deployment workflows using HCL BigFix Software Distribution and BigFix Lifecycle modules
Package, test, and deploy enterprise applications in MSI, MSIX, EXE, and script-based formats through BigFix deployment tasks and Fixlets
Manage the full software deployment lifecycle — from requirements gathering, packaging, testing, staged rollout, to post-deployment validation
Define and enforce deployment standards, naming conventions, and software distribution policies across the enterprise
Develop and maintain BigFix Baselines for bundled application deployments and coordinated software rollouts
Manage software deployment targeting using BigFix Smart Groups, relevance-based scoping, and deployment ring strategies for controlled rollouts
Coordinate application deployments with change management processes, ensuring all deployments follow approved CAB procedures
Perform pre- and post-deployment validation using BigFix Interact real-time queries to confirm successful software installation across targeted endpoints
Support emergency software deployments and out-of-band distribution requests within defined SLA windows
Maintain an up-to-date software catalog within BigFix, ensuring version currency and retirement of obsolete packages

Fulltime

Senior Manager, Platform Engineering - Secure Supply Chain

Lead Twilio's Platform Engineering Secure Supply Chain team, which provides crit...

Location

Canada

Salary:

194000.00 - 242500.00 CAD / Year

Stytch

Expiration Date

Until further notice

Requirements

8+ years of experience in software engineering, platform engineering, or infrastructure roles
At least 4+ years in engineering management leading teams of 8-12 engineers
Proven track record leading platform engineering team and developer platform initiatives at scale in complex, multi-product organizations
Experience leading teams through significant technical migrations or platform modernization efforts
Deep technical knowledge of source control systems (GitHub), build systems (Buildkite, GitHub Actions, Harness), and artifact management platforms (Artifactory, Nexus, container registries)
Strong understanding of secure supply chain practices in cloud environments (AWS, GCP, Azure) including cloud-native CI/CD, container security, infrastructure-as-code, and cloud service integrations
Demonstrated experience partnering with Security and Compliance teams to implement security controls, vulnerability management, and compliance requirements without compromising developer velocity
Strong people leadership skills including hiring, performance management, coaching, and developing high-performing engineering teams
Excellent stakeholder management and communication skills with ability to influence and align cross-functional partners at all levels of the organization
Strategic thinking with ability to balance short-term execution against long-term vision and organizational impact

Job Responsibility

Lead and develop a team of engineers responsible for Twilio's secure supply chain infrastructure, including source control management (SCM), build systems, and artifact management platforms
Define and execute strategic vision for secure supply chain capabilities that create leverage and centralize the cost of change across the entire engineering organization
Partner closely with Security, Compliance, and Product Engineering leadership to establish and enforce secure supply chain standards, policies, and best practices company-wide
Drive operational excellence through metrics, service level objectives, and continuous improvement initiatives that balance security requirements with developer productivity
Build and maintain strong relationships with internal customers and stakeholders, translating business needs into technical solutions and roadmap priorities
Develop engineering talent through coaching, mentorship, and career development while fostering a culture of ownership, collaboration, and technical excellence
Champion automation, self-service capabilities, and platform thinking to scale secure supply chain practices across Twilio's diverse product portfolio
Collaborate with peer engineering leaders across the Platform organization to ensure cohesive technical strategy and efficient delivery
Communicate technical strategy, progress, and challenges effectively to senior leadership and cross-functional stakeholders

What we offer

Competitive pay
Generous time off
Ample parental and wellness leave
Healthcare
A retirement savings program
Additional compensation and benefits may include incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off
Target Bonus Percentage 17.50%

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

Software Engineer, Full Stack (Registry and Inventory)

Benchling's Registry and Inventory offerings provide our scientists with a conce...

Location

United States , Boston

Salary:

165113.00 - 223388.00 USD / Year

Benchling

Expiration Date

Until further notice

Requirements

2+ years of professional software engineering experience
Strong coding skills and engineering fundamentals – able to turn product requirements into well-architected, maintainable, and tested code
Experience building scalable, reliable systems with attention to performance and user impact
Proven ability to work across teams – partnering with product, design, and platform groups to ship cohesive solutions
Strategic problem solving – tackles complex, ambiguous technical challenges with a focus on long-term impact, scalability, and user value
Clear and effective communicator, especially in cross-functional settings
Curiosity and adaptability – excited to learn about life sciences and work in a fast-changing domain

Job Responsibility

Drive complex, end-to-end projects: Lead the design, implementation, and delivery of high-impact features and systems across the stack (React + Python). Translate product requirements into scalable architecture and thoughtful user experiences, while proactively identifying risks and tradeoffs
Shape technical direction and architecture: Make foundational engineering decisions that improve system performance, reliability, and scalability. Collaborate with other senior engineers to evolve our platform and influence long-term technical strategy
Collaborate cross-functionally: Work closely with product managers, designers, customer success, and other engineering teams to create clarity and ensure alignment on goals, seamless handoffs, and shared understanding of scientific user needs
Identify and address technical debt: Own proactive improvements to the codebase and infrastructure. Refactor critical systems for maintainability and performance, and champion investments that improve long-term developer velocity
Design for performance and scale: Build systems that can handle the complexity and scale of life sciences R&D. Optimize backend performance, frontend responsiveness, and system reliability
Mentor and support other engineers: Act as a technical mentor and sounding board for other engineers. Help grow the team’s technical skills through guidance, pairing, and knowledge sharing. Be a force multiplier for the team
Elevate code quality and engineering practices: Set high standards for code quality, testing, documentation, and operational excellence. Lead by example, perform thorough code reviews, and help raise the bar across the team
Embrace ambiguity and domain complexity: Operate effectively in a fast-paced environment with evolving scientific requirements. Rapidly learn new technologies and help the team do the same

What we offer

Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents
Monthly Wellness stipend
Learning and development stipend
Generous and flexible vacation

Fulltime

Senior Software Engineer - Azure Container Registry

Are you passionate about building world-class, fast, scalable, container workloa...

Location

Australia , Melbourne

Salary:

Not provided

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, other object-oriented programming, or Golang OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Collaborates with appropriate stakeholders to determine user requirements for a scenario
Drives identification of dependencies and the development of design documents for a product, application, service, or platform
Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI)
Creates testable code and pushes for quality investments all the way from design, to implementation, and monitoring
Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items
Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore service for simple and complex problems when appropriate
Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale

Fulltime

Systems Engineering Advisor - App Packaging

We are currently seeking a Systems Engineering Advisor - App Packaging to join o...

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

9–12 years of experience in enterprise application packaging and deployment
Application packaging using MSI/MSIX formats
AdminStudio, InstallShield, Advanced Installer
PowerShell scripting (PSADT), basic automation
Windows 10/11 application testing
Proven experience as a Packaging Engineer with expertise in MSI Package Builder, SCCM, App-V, and VBScript\PSADT and PowerShell scripting
In-depth knowledge of Windows operating systems and desktop management tools
Experience with MSIX packaging and deployment
Strong scripting skills, particularly in VBScript, for automation of packaging processes
Proficiency in SCCM for software distribution, application deployment, and patch management

Job Responsibility

Lead complex application packaging and MSI/MSIX transformations
Resolve DLL conflicts, registry issues, and advanced installation problems
Design automation solutions for packaging and deployment efficiency
Mentor junior team members and review packaging quality
Design, create, and test software packages using MSI Package Builder\PSADT\Powershell scripting, ensuring compatibility and adherence to organizational standards
Work with SCCM team for software distribution, application deployment, and patch management, optimizing the desktop environment
Implement and manage Microsoft Application Virtualization (App-V) for virtualized application delivery, ensuring seamless integration with end-user systems
Develop VBScript scripts to automate and streamline packaging processes, enhancing efficiency and reducing manual efforts
Collaborate with application owners, IT teams, and stakeholders to gather requirements and understand software packaging needs
Troubleshoot and resolve issues related to application packaging, working closely with support teams and end-users

Fulltime

New

Principal, Data Scientist

The Reliability Engineering group at Walmart Global Tech builds intelligent, dat...

Location

United States of America , Sunnyvale

Salary:

143000.00 - 286000.00 USD / Year

Walmart

Expiration Date

Until further notice

Requirements

10+ years of experience in software engineering with applied machine learning
Strong track record of building and operating ML systems in production
Experience owning systems end-to-end in distributed, high-availability environments
Experience leading technical initiatives or driving architectural decisions
Strong proficiency in one or more programming languages commonly used in ML engineering, such as Python, Go, or Java
Strong experience with ML frameworks such as Scikit-learn, PyTorch, TensorFlow, or similar
Strong SQL skills and experience working with large-scale datasets
Hands-on experience training, validating, and deploying machine learning models in production across domains such as recommendation systems, forecasting, anomaly detection, classification, or similar applied ML use cases
Experience building and maintaining end-to-end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, monitoring)
Experience with model serving architectures (REST/gRPC inference services, batch inference, streaming inference)

Job Responsibility

Architect and implement end-to-end ML systems (data pipelines, feature engineering, model training, deployment, and monitoring)
Design scalable, low-latency model serving infrastructure integrated with Kubernetes and cloud-native systems
Build intelligent automation solutions including predictive autoscaling, anomaly detection, seasonality-aware forecasting, and capacity optimization
Engineer safe and reliable ML-driven automation that operates in high-availability environments
Own model lifecycle management, including validation, experiment tracking, model registry, monitoring, drift detection, and rollback strategies
Collaborate closely with platform, SRE, and infrastructure teams to embed ML capabilities into production systems
Drive engineering best practices around ML system reliability, observability, testing, and performance
Contribute to architectural decisions and mentor engineers on ML systems design

What we offer

medical, vision and dental coverage
401(k)
stock purchase
company-paid life insurance
PTO (including sick leave)
parental leave
family care leave
bereavement
jury duty
voting

Fulltime

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Software Engineering Manager, Registry

Job Description

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