Software Engineering Manager, Registry Job at Babylist

Senior Software Engineer – ML Model Compliance & Automation

We are seeking a highly skilled and motivated Senior Software Engineer to lead t...

Location

India , Jaipur

Salary:

Not provided

InfoObjects

Expiration Date

Until further notice

Requirements

Experience Required: 3 - 7 yrs
GoLang (preferred)
Python (preferred)
Bash
MLOps Tools: KitOps, MLModelCI, MLflow, ONNX, TensorFlow, PyTorch, Docker
SBOM & Security: Syft, Grype, Trivy, CycloneDX, SPDX
CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD
Infra: Kubernetes, Docker, Helm, Terraform
Cloud: AWS, GCP, Azure (EKS/GKE/ECS preferred)
Version Control: Git, GitOps

Job Responsibility

Model Packaging & Artifact Management: Design and implement workflows for packaging ML models using KitOps, ONNX, MLflow, or TensorFlow SavedModel
Manage model artifact versioning, registries, and reproducibility
Ensure artifact integrity, consistency, and traceability across CI/CD pipelines
Model Profiling & Optimization: Automate model profiling (latency, size, ops) using MLModelCI, TorchServe, or ONNX Runtime
Apply quantization, pruning, and format conversions (e.g., FP32→INT8) for optimization
Embed profiling and optimization checks into CI/CD pipelines to assess deployment readiness
Compliance & SBOM Generation: Develop pipelines to generate and validate SBOMs for ML models
Implement compliance checks for licensing, vulnerabilities, and security using CycloneDX, SPDX, Syft, or Trivy
Validate schema, dependencies, and runtime environments for production readiness
Cloud Integration & Deployment: Automate model registration, endpoint creation, and monitoring setup in AWS/GCP/Azure

Fulltime

Software Engineer

BA Markets wants to professionalise and streamline its activities with regards t...

Location

Poland , Katowice

Salary:

Not provided

Vattenfall

Expiration Date

Until further notice

Requirements

Flexible full stack developer
Delivered several hands-on projects in Kafka Ecosystem in a software developer role
Very well versed in Python
Know general software system design (including fundamentals of events and streaming)
Basic Azure and basic front-end concepts
Proactive, communicative team player
Fluent in English
A few years of hands-on experience within the delivery of Kafka-based projects
Good Java, Python programming skills
Knowledge of stream processing concepts and microservices architectures

Job Responsibility

Hands-on development of integration services (such as client libraries) that allow up- and downstream stream data consumption/integration
Develop stream processing logic (e.g. via flink, or Databricks). Handle joins, windowing and stateful operations
Schema management: Implement Schema registry standard
Development of monitoring and error handling services
Development of other general services for e.g. archiving, logging and monitoring, role distribution and the application of data governance concepts
Data visualisation layer development
Containerization and Orchestration in AKS

What we offer

Good remuneration
Challenging and international work environment
Possibility to work with some of the best in the field
Working in interdisciplinary teams
Support from committed colleagues
Attractive employment conditions
Opportunities for personal and professional development

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

Software Engineer – Confluent Kafka Management

Join us as a Software Engineer – Confluent Kafka Management at Barclays, where y...

Location

India , Bengaluru

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Design, develop, and operate event‑driven architectures (EDA) using industry‑standard messaging and streaming platforms, ensuring high throughput, low latency, and resilience
Provide deep expertise in stream processing concepts including event ordering, partitioning, replay, schema evolution, and exactly‑once/at‑least‑once semantics
Act as a technical authority for streaming and EDA design decisions across delivery teams
Demonstrated, hands‑on expertise with Confluent Kafka ecosystem including topics, partitions, producers/consumers, schema registry, connectors, and operational best practices
Drive platform stability, performance tuning, capacity planning, and incident management for Kafka‑centric systems in line with BUK Service First and SRE principles
Lead the design, deployment, and operation of containerised applications on Amazon EKS, ensuring secure, scalable, and highly available Kubernetes clusters
Drive Ansible‑led automation strategies across cloud and streaming platforms, enabling repeatable, policy‑driven configuration, operational resilience, and DevOps efficiency while aligning with BUK security, risk, and compliance standards
Demonstrate advanced Kubernetes expertise, including operators, StatefulSets, persistent volumes, services, ingress controllers, and cluster networking, supporting stateful and stateless workloads
Establish best practices for cluster lifecycle management, upgrades, observability, and cost optimization across environments
Architect and operate cloud‑native solutions with deep hands‑on expertise across AWS core services

Job Responsibility

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution
Health and wellness access to wellness rooms, gyms and mental health support
A place where you can belong
Collaborative Areas
More than work

Fulltime

Engineering Lead – Data

We are looking for an experienced software engineer and team leader to join our ...

Location

Australia , Sydney

Salary:

Not provided

Optiver

Expiration Date

Until further notice

Requirements

7+ years experience as a Software Engineer delivering production platforms
2+ years of experience leading software engineering teams
Strong experience with distributed systems & reliability fundamentals, including partitioning, replication, consistency/availability tradeoffs
Expertise with one or more of Python/C++/Java/Rust
Solid API and system design skills
Data platform fundamentals, including batch/stream processing, table formats, object storage, SQL
Understanding of security and governance, such as encryption, authentication, and access control
Practical experience with streaming and batch data (e.g., Kafka + Schema Registry)
Experience making architectural decisions on IT solutions, system design & implementation
Excellent stakeholder communication and roadmap ownership

Job Responsibility

Build and lead a high performance data engineering team, including managing performance, career development and delivery
Own and deliver the vision, strategy and roadmap for Optiver’s data platform
Architect platform components (orchestration, storage/table formats, metadata/governance, streaming) that scale across APAC and integrate globally
Partner with stakeholders (research, trading, developers, SRE, security) to prioritise and achieve cross-team changes
Standardise ingestion and access workflows, including schema management, lineage, permissions and audit
Collaborate with our Europe & US offices to converge patterns and shared services
Contribute hands-on to key designs and production code
Uphold high engineering standards and best practices

What we offer

A performance-based bonus structure
Training, mentorship and personal development opportunities
Daily breakfast, lunch and an in-house barista
Gym membership plus weekly in-house chair massages
Regular social events, including a company trip every two years
Guided relocation, a competitive relocation package and visa sponsorship where necessary

Kafka Engineer

This role is integral within our client's team, where you will be tasked with ad...

Location

United States , Santa Clara

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Minimum of 10 years of detail-oriented experience as a Software Engineer
Strong problem-solving abilities and analytical skills
Solid understanding of software engineering principles and methodologies
Exceptional communication skills, both written and verbal
Strong ability to learn new technologies quickly and apply them in problem-solving
Bachelor's degree in Computer Science, Information Technology, or a related field
Prior experience in managing a team or leading a project will be considered an advantage
Proactive approach, with the ability to handle multiple projects simultaneously and meet deadlines
Familiarity with other programming languages or technologies is a plus

Job Responsibility

Administering and maintaining various aspects of Confluent Kafka clusters including multi DC brokers, connectors, C3, KSQL DB, Rest Proxy, and Schema registry
Configuring and managing Kafka topics, RBAC, connectors, KSQL, and schema registry while adhering to security, availability, scalability, and DR standards
Supporting Java, Node.js, and Python based Kafka clients and microservices
Performing basic administration tasks of Apache Nifi (OSS)
Understanding user data flow requirements and designing and developing Kafka based solutions using Confluent Kafka, Connectors KSQL, and Nifi
Providing low-code data flow alternatives
Utilizing experience with data, cloud (AWS), and Queues Connectors in both design and configuration tasks

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Software Engineering Manager, Registry

Babylist

Location:
United States; Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 06, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Software Engineering Manager, Registry