Angi is looking for anEngineering Manager with Platform expertise and leadership, delivery, and design experience as we work together to ensure our customers and professionals enjoy the best possible experience with our product. As an Engineering Manager you will lead & mentor a team of engineers, own horizontal systems and influence technical and product decisions. You will collaborate across the organization with technical and non-technical peers, develop a team that delivers sound technical solutions to challenging problems, champion the team’s impact to the business, and continuously grow as an engineer and a leader.

What you’ll do:  

• Lead and mentor an innovative team of software development engineers working on building platforms that cross our product pillars  – developing people as you grow our business and technology
• Partner with passionate Product and Infrastructure counterparts to deliver impactful products and continuously evaluate the most effective way to deliver short- and long-term solutions
• Help us establish a diverse and inclusive organization based upon safety and contribution, while supporting your peers and the teams they support
• Foster a positive, supportive, and lively work environment while providing opportunity for team members to tackle new roles and take on new responsibilities
• Own the ins and outs of a system that is constantly growing and evolving while ensuring the quality of our products and the business continuity of our systems
• Grow as a leader and a technologist through coaching and feedback from your leaders and peers while helping us reimagine and improve our culture and practices

Who you are: 

• 10+ years of professional experience within architecting, developing, and shipping software products and/or services across the stack
• 2+ years of experience building people and teams: embodying servant leadership, empowering teams & collaborative work practices
• 4+ years of experience building platforms, ideally with experience building authentication, communication, marketing, or search
• Able to thrive in a fast-paced, high-growth environment that respects its engineers and users
• You have experience in developing enterprise-level features in an object oriented language, ideally in Kotlin, Java, Scala, or Ruby on Rails. You can & enjoy still coding
• Ability to collaborate & communicate with product & business counterparts, and present ideas to internal and external audiences
• Familiarity with database principles, microservices and creating RESTful APIs
• Degree in Engineering, Computer Science, Mathematics or related field required 

Preferred:

• Experience with relational databases
• Experience with ElasticSearch and Kafka
• Experience working with application monitoring tools such as New Relic
• Experience with containerization tools (Docker, Kubernetes)

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits: 

• The salary band for this position ranges from $130,000 - $230,000, commensurate with experience and performance. Compensation may vary based on factors such as cost of living. 
• This position will be eligible for a competitive year end performance bonus & equity package. 
• Full medical, dental, vision package to fit your needs 
• Flexible vacation policy; work hard and take time when you need it 
• Pet discount plans & retirement plan with company match (401K) 
• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote

About the Role

We are looking for talented Systems Reliability Engineers to build and operate our Edge platform running in more than 320 cities in over 120 countries. Our SREs come from diverse technical backgrounds and have built up their knowledge working in different environments, but common factors across all of our reliability-focused engineers include a passion for automation, scalability, and operational excellence. We support our services in a “follow the sun” model with offices in East Asia, Europe and North America.

This is a superb opportunity to join a high-performing team and scale our high-growth network as Cloudflare’s business grows. We live at the boundary between systems, network, and software, and love improving the glue that holds them together. Working with us, you will build tools to constantly improve service availability, performance, and operational velocity. You will nurture a passion for an “automate everything” approach that makes systems failure resistant and ready to scale.

SREs focus on the immediate state and functionality of the Cloudflare platform around the world, leveraging an array of monitoring, alerting and diagnostics tools while developing and enhancing the Cloudflare platform and its capabilities. We own a wide portfolio of applications and services, running a tight feedback loop of developer and operator patterns. The ideal SRE candidate has a passionate curiosity about how the Internet fundamentally works and has a strong knowledge of networking, Linux and TLS along with coding ability in Go or Python.

Requisite Skills

• Aptitude for identifying problems, owning them and working with others to solve them
• Linux systems experience
• 3 years experience in an SRE role or a role with similar functions
• Software development skills in some programming language such as Go or Python
• Understanding of distributed software systems and large scale system design tradeoffs
• Intermediate experience of common network protocols like DNS and HTTP

Examples of desirable skills, knowledge and experience

• Experience with the Linux kernel and Linux software packaging
• Performance analysis and debugging
• Configuration management systems such as Saltstack, Chef, Puppet or Ansible
• Load balancing and reverse proxies such as Nginx, Varnish, HAProxy, Squid or Apache
• SQL databases
• Time series databases such as OpenTSDB, Graphite, Prometheus or Grafana
• Key/Value stores
• Internetworking and BGP

Bonus Points

• Experience with continuous / rapid release engineering
• Strong tooling and automation development experience
• Experience working in a 24/7/365 service environment
• Experience working with large scale production distributed systems
• A history of contributing to Open Source Software

Some tools that we use

• Nginx
• PostgreSQL
• Docker
• Prometheus
• Grafana
• Consul
• Nomad
• Temporal
• Salt

The salary range for this role is $4,000 - $10,000 per month (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Principal Machine Learning Engineerwho is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

Responsibilities:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Ideal Skills & Experience:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-Remote

Acquia is an open source digital experience company. We provide the world's most ambitious brands with technology that allows them to embrace innovation and create customer moments that matter. At Acquia we believe in the power of community and collaboration - giving our customers the freedom to build tomorrow on their terms.

Headquartered in Boston, we have been named as one of North America’s fastest growing software companies as reported by Deloitte and Inc. Magazine, and have been rated a leader by the analyst community and named one of the Best Places to Work by the Boston Business Journal. We are Acquia. We are building for the future of the web, and we want you to be a part of it.

The Content Cloud Engineering team at Acquia is responsible for building and maintaining the combined Acquia DAM (Digital Asset Management) and PIM (Product Information Management) product line, which is used by over 800 customers worldwide.

Acquia is seeking a Senior Software Engineer to implement modern, user-centric applications, in a fast-paced software environment. We thrive on innovation, collaboration, and an agile mindset and processes. Our current software portfolio consists of SaaS applications that handle graphic and video content, mobile apps, and advanced JavaScript libraries. Acquia DAM, our combined digital asset management (DAM) and product information management (PIM) platform, is used by customers worldwide.

Our competitive market landscape drives us to adopt technologies that allow for high developer involvement and productivity, as well as instant feedback loops. Technologies and tools include React, GitHub, Java, Gradle, Groovy, MySQL, Elasticsearch, Docker, AWS, Slack, and JIRA, just to name a few.

Responsibilities

• Contribute working code, documentation, and automated tests that deliver on Sprint goals
• Participate in experimentation and prototype building in a collaborative environment, iterating on concepts based on feedback
• Build connectors between APIs powered by different tech stacks
• Collaborate with Product, Design, and Data teams as needed to ensure the systems and architecture being built support roadmap, consistency, and platform R&D goals
• Contribute as needed to the core libraries used by all teams in the interest of the consistency, stability, robustness, cost effectiveness, and performance of consuming applications and services.
• Encourage a culture of observability by ensuring logging and monitoring of applications and services is being configured appropriately to provide visibility into system performance consistent with SLIs/SLOs/SLAs and enable effective troubleshooting
• Address security vulnerabilities as needed
• Work with your team to understand and implement R&D Standards.
• Review code as needed based on risk/scope and provide feedback and guidance to ensure it complies with our technical standards and security requirements.
• Mentor and train other team members on important technical topics through team meetings, pair programming, lunch 'n learns, etc. as needed.
• Collaborate with the architecture team to ensure the platform we are building is consistent with the overarching architectural goals at Acquia
• Ensure software systems comply with service SLO/SLI expectations
• An ability to drive desired customer outcomes by learning and understanding the problems being solved.
• Offer on-call assistance and support as needed to ensure smooth operations and address any challenges that may arise

You will be successful if you:

• Are a continuous learner who is able learn through online trainings, books and podcasts
• Are comfortable with ambiguity and working in a fast-paced environment 
• Balance critical thinking with creative problem-solving 
• Make informed decisions, balancing quantitative and qualitative reasoning
• Have a passion for understanding what is valuable to a user.

Requirements

• 5+ years of relevant experience
• Excellent communication and collaboration skills
• Strong knowledge of Java and SQL
• Experience writing and consuming REST APIs
• Experience with React, JavaScript, HTML5, Typescript and CSS
• Experience with Git
• Experience writing automated tests
• Experience working with CI/CD tools (i.e. Jenkins, Buildkite)
• Strong working knowledge of at least one cloud platform and its related technologies
• Experience in application analysis and design
• Ability to learn and adapt to new technologies quickly and become productive in their use
• Working knowledge of software design principles and programming languages and frameworks in use
• Strong knowledge of software development security principles, concepts and best practices
• Strong knowledge of web application security concepts and practices
• Experience writing SaaS applications in a distributed microservice ecosystem

What gives you an edge?

• Experience working with AWS
• Strong understanding of software architecture and the tradeoffs between different architectural patterns
• Experience managing applications in a kubernetes environment
• Experience working with Elasticsearch or other NoSQL data stores
• Experience working with Gradle
• Experience with PHP and Drupal

The Team:

Our team is responsible for building the Celonis’end-to-end Task Mining solution. Task Mining is the technology that allows businesses to capture user interaction (desktop) data, so they can analyze how teams get work done, and how they can do it even better. We own all the related components, e.g. the desktop client, the related backend services, the data processing capabilities, and Studio frontend applications.

The Role:

Celonis is looking for a Staff Data & Machine Learning Engineer to improve and extend our existing Task Mining ETL pipeline as well as build production ready AI based features into the Task Mining product. You will be owning the solution to simplify the extraction of insights from task mining data. This role demands a blend of expertise in data engineering, software development, and machine learning, utilizing Python. 

The work you’ll do:

• Design, build, and maintain robust, scalable data pipelines that facilitate the ingestion, processing, and transformation of large datasets
• Drive the development of AI-powered features and applications from scratch within the Task Mining product
• Implement data strategies and develop data models
• Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy
• Leverage machine learning techniques to provide actionable insights and recommendations for process optimization
• Write performant, scalable and easy to understand SQL queries and optimize existing ones
• Learn PQL (Process Query Language – Celonis’ own language for analytical formulas and expressions) and use it to query data from our process mining engine
• Own the implementation of end to end solutions: leading the design, implementation, build and delivery to customers
• Provide technical leadership and mentorship to other engineers and team members
• Lead design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing

The qualifications you need:

• 8+ years of practical experience in a Computer Science/Data Science related field
• Or PhD in Data Science/AI/ML area with 5+ years of practical experience 
• Experience with building production ready and scalable AI/ML applications in the python ecosystem
• Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability
• Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design
• Excellent command of SQL, including query optimization principles
• Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype and efficiently explain it to diverse stakeholders
• Experience with containerization and CI/CD pipelines (e.g. Docker, Github Actions)
• Interest in learning new technologies (e.g. PQL language and Object Centric Process Mining)
• Strong communication and collaboration skills (English is a must)
• Able to supervise and coach mid-level and senior colleagues
• Knowledge of Column-oriented DBMS (e.g. Vertica) and its specific features would be beneficial
• Nice to have is knowledge in the frameworks Tensorflow, Pytorch, Langchain, FastAPI, SQLAlchemy