Role Title – DevOps Engineer

Location: Remote

Work Pattern: Full Time/Contract

Security Clearance: Required

The Company:

At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.

Key Responsibilities:

• AWS & Terraform: Design, implement, and manage scalable cloud infrastructure on AWS using Terraform.

• Reverse Proxy / NGINX / Lua: Configure and manage NGINX reverse proxy solutions, utilizing Lua scripts for advanced routing and traffic management.

• Python Scripting: Develop Python scripts to automate tasks, integrate systems, and ensure smooth continuous deployment pipelines.

• Lambda Functions: Create and manage AWS Lambda functions to automate cloud operations and serverless applications.

• SSL Inspection: Implement SSL inspection for secure communication, manage SSL certificates, and troubleshoot SSL-related issues.

• Terraform Validation: Validate Terraform scripts on lower environments (development/staging) to ensure infrastructure changes are accurate, stable, and secure before promotion to production.

Requirements:

• Proficiency in AWS services, including EC2, S3, Lambda, IAM, VPC, and more.

• Strong hands-on experience with Terraform for infrastructure-as-code automation and management.

• Expertise in configuring and managing NGINX and reverse proxy solutions; Lua scripting experience is a plus.

• Strong experience with Python for writing automation scripts and creating APIs or backend services.

• Understanding of SSL/TLS protocols and hands-on experience with SSL inspection.

• Experience in validating, testing, and promoting Terraform scripts across different environments.

• Strong problem-solving skills, debugging capabilities, and attention to detail.

• Familiarity with DevOps tools and CI/CD pipelines.

Benefits:

• Join a rapidly expanding start-up where personal growth is a part of our DNA.

• Benefit from a flexible work environment focused on deliverable outcomes.

• Receive private medical insurance through Aviva.

• Enjoy the benefits of a company pension plan through Nest.

• 25 days of annual leave plus UK bank holidays.

• Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.

• Participate in a generous employee referral program.

• A highly collaborative and collegial environment with opportunities for career advancement.

• Be encouraged to take bold steps and embrace a mindset of experimentation.

• Choose your preferred device, PC or Mac.

Diversity & Inclusion:

Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:

• Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.

• Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.

• Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.

• By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.

Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.

What Happens Next?

Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

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Job Description

The Intermediate Machine Learning Operations Engineer is responsible for developing and maintaining key machine learning infrastructure throughout its lifecycle. This role will ensure that ML and AI models deployed in production at Assent are performant, reliable, maintain (and improve in) accuracy over time, and integrate well with the overall Assent software suite. The Intermediate ML-Ops Engineer will also support data pipeline development with respect to ML model inputs and outputs. This person will have an important role in designing cutting edge infrastructure, supporting key product offerings from Assent. The Intermediate Machine Learning Operations Engineer  is a data-oriented, out-of-the-box thinker who is passionate about data, machine learning, understanding the business, and driving business value.

Key Requirements and Responsibilities

• Develop key data pipelines moving data into and out of ML and AI models in production environments for Assent's digital products;
• Support the development of a robust ML-Ops framework to support model tracking and continuous improvement;
• Support ongoing and automated statistical analysis of ML models in production;
• Work closely with adjacent teams to proactively identify potential issues in performance and availability, with respect to data systems impacting ML models;
• Be curious, proactive and iterative, prepared to try unconventional ideas to find solutions to difficult problems;
• Apply engineering principles to proactively identify issues, develop solutions, and recommend improvements to existing ML Operations;
• Be self-motivated and highly proactive at exploring new technologies;
• Stay up to date with machine learning and AI principles, models, tools and their applications in data processing and analysis;
• Find creative solutions to challenges involving data that is difficult to obtain, complex or ambiguous;
• Manage multiple concurrent projects, priorities and timelines;
• Support the Machine Learning team in the pursuit of building business critical data products;
• Configure & deploy relevant implementations to the Amazon Web Service (AWS) Cloud;

This is not an exhaustive list of duties. Responsibilities may be altered and/or added from time to time to meet business needs.

Qualifications

We strongly value your talent, energy and passion. It will also be valuable to Assent if you have the following qualifications:

• 2-4 years of experience in MLOps, machine learning engineering, or related fields, with hands-on experience deploying and maintaining ML models in production environments.
• A degree in Computer Science, Engineering, or a related field (A Masters level degree , or higher, is highly preferred)
• A demonstrable understanding of machine learning and AI principles, models, tools, and their applications in data processing and analysis.
• Strong knowledge of SQL for data retrieval.
• Excellent ability to use Python for data extraction and manipulation
• Solid working knowledge of AWS systems and services; comfort working with SageMaker, EC2, S3, Lambda, Terraform.
• Solid working knowledge of MLOps, versioning, orchestration and containerization tools; MLFlow, Kubeflow, Airflow, DVC, Weights & Biases, Docker, Kubernetes.
• Strong understanding of statistical analysis methods and procedures
• Ability to apply engineering principles to proactively identify issues, develop solutions, and recommend improvements
• Excellent analytical ability and creative problem-solving skills, including the ability to deal with situations where information is difficult to obtain, complex or ambiguous
• Excellent organizational skills and ability to manage multiple priorities and timelines
• You’re a great team player, constantly looking to support your teammates on their mission of building great data products.

Reasonable Accommodations Statement:To perform this job successfully, an individual must be able to perform the aforementioned duties and responsibilities satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform these essential functions. Assent is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Job Description

Estamos buscando uma desenvolvedora PHP altamente qualificada e experiente para se juntar à nossa equipe. Este papel é fundamental para impulsionar o sucesso de nossos projetos, especialmente em termos de alta volumetria, resiliência, alta disponibilidade e redundância. Se você é apaixonada por desenvolvimento de software e tem experiência sólida em PHP, essa pode ser a oportunidade perfeita para você.

Quais serão suas principais entregas?

• Desenvolver e manter aplicações web em PHP, garantindo alta performance, resiliência e escalabilidade para lidar com grandes volumes de dados;
• Implementar práticas de segurança rigorosas, garantindo a proteção contra vulnerabilidades e ameaças de segurança;
• Colaborar com a equipe de desenvolvimento e operações para configurar e gerenciar pipelines de integração e entrega contínua (CI/CD);
• Configurar e executar análises de qualidade de código utilizando o SonarQube, identificando e corrigindo potenciais problemas de código;
• Participar ativamente da arquitetura de soluções de software, contribuindo com sua experiência para garantir a resiliência e o desempenho das aplicações.     

Qualifications

O que estamos buscando em você?

• Experiência sólida em desenvolvimento web utilizando PHP;
• Experiência prática com o desenvolvimento de código seguro amparado por ferramentas de análise SAST/DAST, demonstrando habilidades para identificar e resolver vulnerabilidades e problemas de código;
• Capacidade de projetar e implementar soluções robustas e escaláveis para lidar com grandes volumes de dados e garantir alta disponibilidade e resiliência;
• Habilidade para trabalhar de forma independente e colaborativa, gerenciando eficazmente prazos e prioridades em um ambiente dinâmico;
• Excelentes habilidades de comunicação verbal e escrita, com capacidade de explicar conceitos técnicos de forma clara e concisa;
• Familiaridade com arquiteturas serverless e serviços de comunicação assíncrona, como Oracle Queue, RabbitMQ, SQS, AWS Lambda etc;
• Deseável conhecimento em Javascript;
• Desejável graduação em Ciência da Computação, Engenharia de Software ou área relacionada.

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Job Description

Hello,

Cloud data engineer primary skill . Please do not sent DevOps resume.

We have below job opening.

If you are interested and your experience match with job description.

Please send your updated resume....Asap

Cloud Engineer (Identity Resolution Project)

Location: Remote

Duration: 9-12 Months Contract 

Job Description:

10+ years of experience in engineering and developing solution using

Python Spark, preferably using AWS Glue

OpenSearch / ElasticSearch query writing, index management

DynamoDB

Neptune Graph Database programming (Cypher, Gremlin programming language preferred)

Hands-on experience in:

REST API development using API Gateway and AWS Lambda

REST API security, authentication and authorization

Clear understanding of:

How to develop AWS Infrastructure, including developing IAM roles and policies, understanding of how to develop AWS applications that integrate with VPC’s, subnets, load balancers, and DNS servers

IAM roles and policies permissions

Basic developer skills – Git, bash scripting, etc.

Additional preferred skill:

Terraform IaC development and deployment

CI/CD and DevOps

Automated testing frameworks such as pytest

Qualifications

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Job Description

Key Responsibilities: 

• Design, develop, and maintain both front-end and back-end components of web applications.

• Architect and design of scalable and robust systems.

• Work closely with product managers, designers, and other engineers to deliver high-quality products.

• Write clean, maintainable, and efficient code, adhering to best practices and coding standards.

• Optimize application performance for maximum speed and scalability.

• Implement and maintain automated testing frameworks to ensure the reliability and quality of the codebase.

• Manage the deployment process, including setting up CI/CD pipelines and ensuring smooth releases.

• Identify and resolve complex technical issues across the stack

• Keep up with the latest trends, tools, and technologies to continuously improve front-end and back-end architecture and deliver cutting-edge solutions

Qualifications

Requirements:

• Proven experience in front-end and back-end development, with a strong portfolio of successful projects

• Strong proficiency in HTML, CSS, JavaScript, and modern front-end frameworks/libraries such as React, Angular, and/or Django

• Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis)

• Proficiency in server-side languages (e.g., Java, Python, PHP, Ruby, Node.js) and frameworks (e.g., Django)

• Expertise in designing and developing RESTful APIs

• Experience with AWS and Azure services, including EC2, S3, RDS, Lambda, Azure VMs, and Azure Functions

• Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines)

• Experience with version control systems, particularly Git

• Familiarity with front-end and back-end testing frameworks and tools

• Knowledge of performance optimization techniques and tools (e.g., Lighthouse, Webpack)

• Deep understanding of security best practices and experience implementing secure front-end and back-end code

• A keen eye for design and a passion for creating beautiful and functional user interfaces

• Strong understanding of SEO principles and web accessibility

• Excellent problem-solving skills and the ability to troubleshoot complex issues

• Strong communication and collaboration skills, with the ability to work effectively in a team environment

• Excellent attention to detail and organizational skills

• Experience working with international teams and in global markets

• Ability to work in a fast-paced environment and adapt to changing project requirements

• Demonstrated eagerness to learn new skills and take on diverse tasks, fostering both personal and company growth

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Job Description

Key Responsibilities: 

• Design, develop, and maintain the back-end infrastructure of our products, ensuring they meet the highest standards of reliability and performance

• Architect and design robust, scalable, and secure back-end systems and APIs, optimized for cloud environments

• Design and optimize database schemas, write complex queries, and ensure data integrity and performance

• Integrate third-party services and APIs, ensuring seamless data flow and functionality

• Develop and deploy applications on AWS and Azure, utilizing cloud services to enhance performance, scalability, and security

• Write clean, maintainable, and efficient code

• Conduct code reviews and provide constructive feedback to team members to maintain code quality and best practices

• Implement automated testing frameworks and conduct thorough testing to ensure the reliability and performance of the back-end systems

• Work closely with front-end developers, product managers, and other stakeholders to deliver high-quality products

• Set up and maintain monitoring and alerting systems to ensure the health and performance of the back-end infrastructure

• Create and maintain comprehensive documentation for the back-end systems and APIs

• Keep up with the latest trends, tools, and technologies to continuously improve back-end architecture and deliver cutting-edge solutions

Qualifications

Requirements:

• Proven experience in back-end development, with a strong portfolio of successful projects

• Strong experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis)

• Proficiency in server-side languages (e.g., Java, Python, PHP, Ruby, Node.js) and frameworks (e.g., Django)

• Expertise in designing and developing RESTful APIs

• Deep understanding of security best practices and experience implementing secure authentication and authorization mechanisms

• Extensive experience with AWS and Azure services, including EC2, S3, RDS, Lambda, Azure VMs, and Azure Functions

• Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines)

• Experience with version control systems, particularly Git

• Excellent problem-solving skills and the ability to troubleshoot complex issues

• Strong communication and collaboration skills, with the ability to work effectively in a team environment

• Excellent attention to detail and organizational skills

• Experience working with international teams and in global markets

• Ability to work in a fast-paced environment and adapt to changing project requirements

• Demonstrated eagerness to learn new skills and take on diverse tasks, fostering both personal and company growth

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Job Description

As a Senior Software Engineer at HireVue, you’ll be a key player in making software happen, from the early design stages to the hands of our users. You will be empowered to influence how our products are forged for real world value. 

You’ll be in a very hands-on development role collaborating with your team to enhance and extend the leading HireVue platform. Your focus will be designing solutions, writing quality code with unit tests, leading other engineers by example and solving technical challenges that will continue improving the experience of our users. You will become a key contributor to the codebase willing to work in any area of the code when needed. 

Our ability to deliver quality software to our customers in a timely, predictable manner will be directly attributable to your capacity to identify and address challenges faced by the initiatives you will be leading.  

Essential Duties and Responsibilities

• Help drive development of the HireVue Interviewing Product Line, ensuring that we’re utilizing the best development techniques, patterns, frameworks and libraries for the team’s initiatives owned by you and/or peers

  • Analyze Product Requirements and write Technical Designs

  • Write simple, clear, secure, resilient  code

  • Write unit tests

  • Review the code of others

  • Mentor your peers

  • Collaborate in and/or own the Research and Planning  of new Initiatives

• Own and ensure the resolution of complex problems found in our systems

• Find opportunities to broadcast knowledge and lessons learned amongst your peers

• Blend a risk-based approach to technical choices from design to operational practice

• Ensure patterns are in place to provide thorough automated testing at each level of the test pyramid

• Communicate patterns and solutions through both thorough written documentation and technical presentations

Qualifications

We’re looking for an experienced, full-stack engineer. More specifically, we’re looking for:

• Someone with experience designing, building, deploying, supporting SaaS products in a cloud-based world. You should have strong knowledge of:

  • Cloud Services and Best Practices (AWS)

  • Multiple platforms and languages (C#/.NET, Python, React, etc)

  • RESTFul APIs and MVC Web Patterns

  • Docker and virtualization technologies 

  • Operational Monitoring, Instrumentation, and Diagnostics 

• Someone who understands fundamental computer science concepts. That doesn’t necessarily mean you have a CS degree. You should be able to describe technical design options, engineering trade-offs, making technical recommendations and decisions that balance performance and elegance with delivery and functional outcomes

• Someone with a firm grasp of SQL and databases in general (including non-relational databases). You should know about CRUD patterns, relational design, what indexes are and why they matter, and the difference between a left join and an inner join.

• Someone to work hand in hand with Product and UX, to design solutions that deliver business value and delight customers.

Required Qualifications:

• Due to responsibilities of this role that require elevated access to production data, the successful candidate for this position must be a US-based US citizen.

• B.S. in Computer Science (or related field), equivalent trade school degree, or equivalent work experience.

• 5+ years in a software engineering role

• Strong proficiency with most or all languages and technologies listed below

• Experience working effectively in a global virtual environment 

• Ability to design and code scalable, reliable, and cost-effective cloud applications.

• Knowledge of microservices architecture and containerization (e.g., Docker)

• Understanding of security best practices

Preferred Qualifications:

• AWS and/or Software Development certifications

• Experience building software on a complex platform

• Experience Mentoring Others

Technologies:

HireVue has several platforms providing services to our customers, with a broad range of technologies in use: 

• HTML, CSS, Node.js, TypeScript, React, REST
• Git, Python, Django, Celery, WebRTC, .NET, C#
• Postgres, Aurora, SQL Server, DynamoDB, RDS, S3, Open Search
• Splunk, Docker, AWS Lambda, Fargate, SQS, Twilio Voice, Vonage

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Job Description

Position Summary 

As the Senior Manager of Data Engineering, you will be accountable for delivering impactful data solutions that align with company objectives. This includes strong collaboration with product, and analytics teams, with a focus on data-driven impact and scalability. In this role, you will lead the data engineering team, ensuring seamless execution of data roadmaps and fostering engineering excellence. As a leader of leaders, you will mentor managers, team leads, and architects, empowering them to build high-performing teams dedicated to creating valuable data products. 

What will you do: 

• Work with Product and Analytics teams to define and implement a strategic data roadmap that includes advanced analytics and AI/ML capabilities. Champion data-mesh principles to enable decentralized ownership and accessibility across teams. 

• Design and oversee scalable, robust data architectures and ETL pipelines, leveraging AWS services like Redshift, Glue, and Lambda, ensuring support for machine learning, advanced analytics, and governance. 

• Partner closely with data scientists and analytics teams to create data infrastructures that support real-time analytics and ML model deployment, delivering actionable insights that drive business decisions. 

• Drive initiatives to enhance data security, stability, and governance, establishing frameworks that uphold quality, consistency, and regulatory compliance across ATPCO’s data ecosystem. 

• Mentor and lead multiple teams of data engineers and analytics professionals, fostering technical growth and a shared commitment to data quality. Encourage innovative approaches to data automation and performance tuning. 

• Continuously refine data engineering practices for efficiency and resilience, optimizing workflows and monitoring costs within the AWS environment, with a focus on scalable, automated data solutions. 

• Foster a culture that values innovation and experimentation, empowering teams to explore new techniques in data, analytics, and AI, including generative AI models. 

• Ensure the operational health and performance of data products in cloud environments, maintaining high availability, fault tolerance, and performance optimization across all services. 

• Establish a data lake, data mesh, and advanced data modeling-first approach, creating well-structured data practices with an API-driven methodology that improves usability and governance. 

• Own and lead internal data analytics platforms, collaborating with finance and operations to identify cost optimization opportunities, manage data product P&L, and establish benchmarks for data-driven outcomes. 

What will make you a great fit: 

• 7+ years of experience in data engineering roles focused on high-volume, complex data applications, with 5+ years in people leadership. 

• Proven ability to build and manage high-quality data products and infrastructure, with experience leading cross-functional teams in complex data environments. 

• Technical expertise in a wide range of AWS services, including Redshift, Glue, S3, Lambda, EMR, Kinesis, EC2, API Gateway, serverless technologies, and container services such as ECS and EKS, integrated with data orchestration tools. Proficiency in Python, SQL, or Scala, plus experience with ML frameworks. 

• Experience with database management (RDBMS, NoSQL, graph databases) and big data frameworks, including Apache Spark and Hadoop, showcasing your ability to design and optimize complex data architectures and process large-scale data efficiently. 

• Strong communication skills to align cross-functional teams and convey technical concepts to technical and non-technical stakeholders. 

• Familiarity with airline or travel industry data needs is advantageous. 

• Track record of fostering inclusive environments that encourage innovation, teamwork, and diverse perspectives. 

Other Preferred Qualifications: 

• Proficiency in cloud-native data services (AWS, Azure, GCP) and container tools (Docker, Kubernetes) for scalable data infrastructure. 

• Familiarity with cloud security best practices, ensuring the secure deployment and maintenance of data solutions. 

• Commitment to advancing data engineering and analytics practices, ensuring cutting-edge solutions. 

Salary Range:  USD $163,900 to $193,000

*The disclosed range estimate has not been adjusted for applicable geographic differential associated with the location*

Qualifications

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Job Description

The Opportunity:

We, at Flywire, are looking for an experienced engineer to join as the Site Reliability Engineering team in North America to help drive reliability, automation and performance in our cloud-based infrastructure.

At Flywire the SRE team is responsible for the lifecycle of production systems and working across multiple levels. SRE’s are embedded in the development teams enabling and empowering them to achieve full speed on shipping reliable and operable systems. They also work at a global scale driving initiatives to achieve production excellence.

• Design, build and maintain core infrastructure pieces with a focus on availability, latency, performance, and capacity. Reduce toil and improve deployment timelines (40%)
• Be embedded on a development team, support them with daily tasks, help drive towards production excellence and advocate for best practices. (40%)
• Be part of an on-call rotation. Debug production issues across services and levels of the stack and practice incident response and blameless postmortems. (15%)
• Engage and collaborate with other disciplines in the design, deployment, operation, and optimization of services. (5%)

What’s next in our team?:

• Pushing SRE practice to the next level
• Keep fast release pace whilst keeping the environment secure
• Migrate legacy custom deployments to managed cloud provider offerings (eg: RDS)
• Keep pursuing full DevSecOps

Qualifications

Here’s What We’re Look For:

• 5+ years of experience as an SRE or similar role. Experience as a Software Engineer or Systems Engineer is also valuable.
• We are aiming to build a multidisciplinary and balanced team based on "t-shaped" individuals. As such we are looking for people comfortable with the idea of being or becoming a generalizing specialist.
• Software engineering is an important part of our work, we actively use and support many different platforms and languages. Experience with at least one programming language is needed, also experience with testing techniques such TDD or BDD will be highly valued.
• Being familiar with the container ecosystem, cloud infrastructure, build systems and CI/CD tools is key for being successful at this role.
• You will need to be comfortable taking ownership of complex systems challenges and help uncover opportunities for improvement. 
• At SRE we are enablers, we empower and encourage our fellow colleagues so you will need to have strong communication and collaboration skills, and most importantly, empathy.
• Strong preference for candidates located near our geo-clusters and hubs in the following locations: Boston, New York City, Portland, Charlotte, Chicago, Austin, Dallas, Minneapolis, Kansas City, FL, PA, RI, & TN

Bonus:

• Experience with PCI compliant infrastructure (particularly in a modern CICD environment)
• Expertise with Infrastructure as Code tooling. 

Technologies We Use:

• These are some of the technologies that we use, but we we are always learning, experimenting and open to change:
• Ruby, Bash/Shell, Java,, Kotlin, Go, Node, Python, PHP
• AWS: EC2, ECS, Lambda, Cloudwatch, SQS, RDS, Kinesis, S3, ElasticSearch, DocumentDB
• Linux, Docker, Terraform, Make, Chef, Ansible
• Gitlab, Jenkins (CI/CD)
• Sentry, Sumologic, New Relic, Grafana. OTEL (OpenTelemetry) 

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Job Description

The Experian Consumer Services Generative AI team is accelerating Experian's impact by bringing together data, technology, and data science to build game-changing products and services for our customers. We are looking for a Senior Software Engineer, reporting to the Head of AI/ML Innovation, to support developing and integrating our Generative AI Models with Consumer Services products. These new capabilities will help provide Financial Power to All our customers. As a growing team, we embrace a startup mentality while operating in a large organization. We value speed and effect – and our results and ways of working are transforming the culture of the larger organizations around us.

Role accountabilities and essential activities

• You'll develop and integrate our generative AI solutions with existing software teams building products
• Develop a scalable machine learning framework for data science products
• You will develop scalable pipelines, tools, and services for building production-ready machine-learning models
• Work with our data scientists to pilot our products with beta customers
• Maintain our culture of simple, streamlined code and full CI/CD automation
• Develop simple, streamlined, and well-tested ML pipeline components

Qualifications

• You have 5+ years of experience
• Strong coding experience in Python with some familiarity to PySpark and SQL
• Familiarity with popular python libraries such as pandas, numpy, flask, matplotlib
• Familiarity with the AWS platform and services, including CI/CD automation methods
• Familiarity with AWS serverless methodology, particularly Fargate, Lambda, ECR
• Familiarity with CloudFormation, Terraform, or equivalent
• You have experience working with machine learning or generative AI libraries such as Langchain, llamaindex, Langsmith, and llamaguard
• Open source Foundation models: llama3, llama2, mistral, falcon, phi
• Orchestration Frameworks: Mlflow, airflow
• Some knowledge of javascript (node.js) as a front end
• You have experience or familiarity with Databricks AI services and Mosaic branded services
• Comfortable supporting troubleshooting and assessment of production issues when needed
• You are experienced with monitoring tools such as Splunk, Datadog, Dynatrace
• Test writing discipline in standard development tools and processes, e.g., gitub, Jira, Slack
• Record of building and maintaining large-scale software systems in production

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