Golang Machine Learning Jobs

Job Description

Cortex is an open-source platform for building, deploying, and managing machine learning applications in production. We believe that machine learning should be a core competency of every engineering organization. Our goal is to help engineering teams build better machine learning systems, faster.

We are a VC-backed startup founded by infrastructure engineers with backgrounds from Google, Illumio, and the Berkeley ASPIRE Lab. We are looking for thoughtful and ambitious engineers to join our founding team.

Responsibilities:

• Play an integral role in architecting, building, and maintaining our product.
  
• Build and deploy scalable, reliable, and secure machine learning infrastructure.
  
• Design and implement workflows to make machine learning engineers more productive.
  
• Help us define our technical roadmap and our engineering culture.

Qualifications:

• Experience designing and building large-scale distributed systems.
  
• Experience with cloud infrastructure (AWS / GCP / Azure).
  
• Experience with DevOps tools such as Docker and Kubernetes.
  
• Experience with data processing tools such as Spark is a plus.
  
• Experience with machine learning tools such as TensorFlow is a plus.
  
• Experience building end-to-end machine learning systems is a plus.

Job Description

Seldon is looking for a Software Engineer to join our team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core, Alibi:Explain and Alibi:Detect. We also contribute to open source projects under the Kubeflow umbrella including KFServing.

About the role Design and build scalable machine learning solutions on top of the open source and enterprise Seldon products. Working on bring the Explainable AI and ML Monitoring available in the Alibi projects into the enterprise products for general use.

Essential skills A degree or higher level academic background in a scientific or engineering subject. Familiarity with linux based development. At least 2 years of experience in industry or academia showing completed projects.

Core skills (The role will be focused on these skills so we would expect existing experience or a demonstrable desire to learn these) Experience with GoLang and Python Experience with Kubernetes and the ecosystem of Cloud Native tools. Experience using machine learning tools in production. Bonus skills (Any of these will be of great interest to us) A broad understanding of data science and machine learning. Understanding of explainable AI or machine learning monitoring in production Familiarity with Kubeflow, MLFlow or Sagemaker Familiarity with python tools for data science

About our tech stack Some of our high profile technical projects: We are core authors and maintainers of Seldon Core, the most popular Open Source model serving solution in the Cloud Native (Kubernetes) ecosystem We built and maintain the black box model explainability tool Alibi We are co-founders of the KFServing project, and collaborate with Microsoft, Google, IBM, etc on extending the project We are core contributors of the Kubeflow project and meet on several workstreams with Google, Microsoft, RedHat, etc on a weekly basis We are part of the SIG-MLOps Kubernetes open source working group, where we contribute through examples and prototypes around ML serving We run the largest Tensorflow meetup in London And much more 🚀

Some of the technologies we use in our day-to-day: Go is our primary language for all-things backend infrastructure including our Kubernetes Operator, and our new GoLang Microservice Orchestrator) Python is our primary language for machine learning, and powers our most popular Seldon Core Microservices wrapper, as well as our Explainability Toolbox Alibi We leverage the Elastic Stack to provide full data provenance on inputs and outputs for thousands of models in production clusters Metrics from our models collected using Prometheus, with custom Grafana integrations for visualisation and monitoring Our primary service mesh backend leverages the Envoy Proxy, fully integrated with Istio, but also with an option for Ambassador We leverage gRPC protobufs to standardise our schemas and reach unprecedented processing speeds through complex inference graphs We use React.js for our all our enterprise user products and interfaces Kubernetes and Docker to schedule and run all of our core cloud native technology stack

Benefits Share options to align you with the long-term success of the company. Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth. Access to discounted lunches, gyms, shopping and cinema tickets. Healthcare benefits. Cycle To Work Scheme.

Logistics Our interview process is normally a phone interview, a coding task, and 2-3 hours of final interview (carried out virtually). We promise not to ask you any brain teasers or trick questions. We might design a system together on a whiteboard, the same way we often work together, but we won’t make you write code on one. Our recruitment process has an average length of 3 weeks.

Job Description

Back is a young software company from Berlin with the mission to enable companies to focus on what they do best. We’re building a collaboration and automation platform to untangle repetitive questions and workflows around the workplace.

You will join our experienced engineering team to build our machine learning pipeline and develop some of our first machine learning supported features. If you are excited about building highly scalable solutions built on a modern stack using best practices then this role is perfect for you.

This position is based in our growing HQ in Berlin.

🔨 What you will do

• You will take ownership of automation features from the beginning - understanding the problem - to the end - deploying the model on production -.
• You will setup the environment to speed up our machine learning development.
• You will implement and tune state-of-the-art ML models to get the best results given the available data.
• You will effectively communicate and document your approach, progress, results and challenges with the team.
• You will help us grow the machine learning team: enforce best practices, interview candidate, etc.

👩‍🔬 Who are we looking for

• You can quickly grasp the business context of the problem and using your knowledge of how the model is going to be used, you can choose the right evaluation metric.
• You can dig deep into the data to choose the right dataset split and identify pitfalls arising from non-iid samples.
• You can combining both your practical and theoretical ML knowledge to set the right priorities when choosing which idea or approach to try next.
• You find the simplest solution to solve complex problems programmatically.
• You find joy in delivering features to your customer rather than doing academic research.
• You like to work in a team and challenge your choices with your peers.

🦾 What challenges will you face

• You'll work on complex NLP problems touching multiple domains: multiple language understanding and feature extraction.
• You'll work on unbalanced datasets, not all our customers are the same size.
• Our customers have different processes, different vocabulary. You will face dual-domain adaptation problems.
• The good news: our application generates labeled data and we capture all the signals of our users' interactions, so you'll focus on training models, not labelling data. Yeah!

🏅Our engineering values

Radical honesty

• We discuss problems and mistakes in the open, with the team, to share our knowledge, opinion, and find the best solutions to make sure they do not happen again.
• We discuss behavioral or personal problems in private, only with the people being involved.
• Our discussions focus on the problem, not on people. People are rarely the problem and we always assume good faith.

Radical transparency

• We do not hide anything inside and outside the team. We voluntarily and constantly share our successes, our mistakes, and our progress.

Radical open-mindedness

• We share our knowledge and experience to find the best solutions as a team, never to be right or the smartest in the room.
• We share our opinion only when we have the willingness to change it.

Radical pragmatism

• We design strategic solutions with a growth mindset. We seek for solutions driving progress at the fastest pace and lowest cost to create progressive long-lasting impact.
• We refuse dogma. We make the best decision for ourselves, in our context.

Customer-first

• We consider success as having a high customer impact and satisfaction.
• Each decision we make must have sooner or later a positive impact on our customers.
• We privilege customer satisfaction over our comfort.
• We refuse to compromise the quality of our product and customer experience.

Camaraderie

• There is no place for competition or ego.
• We thrive at helping each other and sharing knowledge to contribute to everyone’s growth.

🚀 Why Back?

• You’ll join a company that believes in a strong engineering culture. We use modern technologies, best practices, within a team of smart people who want to change the way people work.
• You’ll have the opportunity to build great infrastructure. You can be as creative as you want as long as it creates a better product.
• You'll work on a modern and robust stack: Go, gRPC, Protobuf, Python, GraphQL, Typescript and React.
• You will team up with the founders to create a great product with your signature on it.
• We love open-source and will support you in the process of contributing to libraries we use or open-sourcing some of our work.
• You’ll join a company at an early stage and you will receive an attractive package containing salary and shares.
• You'll join an amazing team who loves food. Want to know who could be your future colleagues? Have a look here.

Job Description

How would you steam live audio traffic across multiple services into a machine learning model? What is the memory consumption of a service streaming data with maximum network utilization? How would you handle images send to a GraphQL endpoint?

At Corti, we have proven a life saving technology that augments emergency medical dispatchers with machine learning. We envision a near future where all emergency dispatchers around the globe are augmented by our intelligence. We are proud to say that the engineers at Corti are saving lives. A life saving engineer is dedicated, seeks for real purpose and is proud to the extent of obsession. We don't need the ninjas and wizards, we need people who own every aspect of their work at any time.

To get there, we need to solve problems that go way beyond picking the right text editor. The engineering team at Corti owns the entire stack, from live audio capture, real time traffic processing and classification using machine learning models to the hardware on the dispatcher desk, the servers in the basement and the right cloud strategy.

We pick our team members carefully so we can maintain our culture of excellence. We look for complementing skills and characters and care less about your degree, certifications and experience. You can't hide behind your screen as we are a team that believes in collaboration across all the departments at Corti.

You can solve problems and you can proof it to us. You are better at estimating memory usage than remembering the exact implementation of quicksort. A new problem stimulates your creativity rather than your hippocampus. Working cross domain is a bonus for you and you are eager to widen your horizon.

While we have a core set of tools, programming languages and concepts we work with, we will definitely going to ask you to learn something new. Never worked with machine learning? This will change. Writing a parser for a network protocol? It will happen. Transitioning a customer to the cloud? The sky isn't the limit for us.

We are looking for someone experienced in Golang to support our backend team. You would be mostly working on the REST and GraphQL API and the integration with the models from the machine learning team.

Job Description

We are seeking a highly skilled Backend Engineer to join our dynamic team. The ideal candidate will have extensive experience in full-stack Go development and a strong understanding of Kubernetes and AWS deployment. This role requires someone who can build scalable backend systems and ensure seamless integration with our machine learning algorithms.\u000A\u000AAbout Prospecter: At Prospecter Ventures, our mission is to transform technology and its usage in the modern era through the creation of cutting-edge technology offered through our SaaS product. We work across the globe and remain at the forefront of technologic development. Through this, we are on an extraordinary scaling pathway, becoming one of the leaders in our industry. Our core values are the backbone of our business and guide our day-to-day operations, we are: results-oriented, future oriented and strive towards making the world a more unified place through the use of technology. Furthermore, making our technology accessible and affordable to users around the globe, is important to us.\u000AProspector is a pioneering company focused on developing an advanced machine learning content management system (CMS). Our tech stack includes Golang, gRPC, and protocol buffers for backend services, and TypeScript with Vue.js for frontend applications. We aim to revolutionize how content is managed and delivered using cutting-edge technology and innovative solutions.\u000A\u000AKey Responsibilities:\u000A● Develop, maintain, and enhance backend services using Golang, gRPC, and protocol buffers.\u000A● Design and implement scalable microservices architecture.\u000A● Deploy and manage applications on Kubernetes and AWS.\u000A● Collaborate with frontend engineers to integrate user-facing elements with server-side logic.\u000A● Support the Machine Learning team for model deployments and infrastructure topology.\u000A● Optimize applications for maximum speed and scalability.\u000A● Implement security and data protection measures.\u000A● Write clean, maintainable, and testable code.\u000A● Participate in code reviews and provide constructive feedback.\u000A\u000ARequirements:\u000A● Bachelor’s or Master’s degree in Computer Science or a related field.\u000A● 5+ years of experience in backend development using Golang.\u000A● Proficiency with gRPC and protocol buffers.\u000A● Strong experience with Kubernetes for container orchestration.\u000A● Expertise in deploying and managing applications on AWS.\u000A● Familiarity with CI/CD pipelines and DevOps practices.\u000A● Solid understanding of microservices architecture.\u000A● Excellent problem-solving skills and attention to detail.\u000A● Strong communication skills and the ability to work effectively in a remote team .\u000A● Based in Germany environment.\u000A\u000APreferred Qualifications:\u000A● Knowledge of machine learning concepts and tools.\u000A● Familiarity with database technologies (SQL and NoSQL).\u000A\u000ABenefits:\u000A● Competitive salary\u000A● Flexible working hours and remote work opportunities.\u000A● Professional development opportunities.\u000A\u000ADoes the above description spark your interest? Or do you feel like you could be a great fit for us, but don’t fit the profile 100%? Feel free to reach out to us, we are happy to jump on a call with you to discuss potential career opportunities.\u000AWe strongly believe, that skills can be acquired, as long as the drive and passion by a team member is given!\u000AWe are an inclusive team and are happy to hear from all potential candidates regardless of their identified gender, sexual orientation or disabilities.

Job Description

SOFTWARE DEVELOPMENT ENGINEER (GOLANG)

Location:Cambridge, UK Contact: careers@speechmatics.com

“Speechmatics is on the bleeding edge of speech recognition, and as a Software Engineer, I get to build the infrastructure to deliver this at scale using state-of-the-art technology. As well as that, I work with a wonderful team and there’s a very welcoming and supportive culture in the company. If you’re currently looking for a new opportunity, and are interested in a position in one of the best Machine Learning companies in the UK, look no further.”

Michel Hollands, Software Development Engineer at Speechmatics

Background

Speech technology is one of the most popular discussion items at the moment, yet speech interaction is limited to “Alexa, turn on the light”, or “Siri, where is the nearest coffee shop?” We are taking speech technology to the next level using our expertise in machine learning and speech-to-text technology to enable our customers to use conversational speech recognition. Our solutions power subtitling on TV, content discovery for videos, compliance solutions in banks, improve efficiency of meetings, and many other use-cases. Our mission is to improve human communication with a global speech engine, that works and put speech back at the heart of communication.

At Speechmatics you’ll be working with some of the smartest minds in the industry, working on cutting-edge projects and deploying the latest machine learning techniques to disrupt the market, providing customers with the best speech technology available, all whilst immersed in a progressive and great company culture. You can enjoy benefits including, share options, healthcare, life assurance, Bike Doctor, massages, regular BBQs, Brew Dogs in the fridge, no red tape, a top end laptop and much more. We’re building a company that truly strives to be world-leading and we’re looking for people who wholeheartedly believe they can be additive to our culture, bring new ideas to the table and get stuff done. If that’s you, carry on reading.

The Opportunity

The Speechmatics Engineering team develops and maintains speech-oriented products and services that will be used by businesses worldwide and is responsible for the complete product development cycle for these products. In this role, you’ll help to support fundamental language processing research as well as helping to build our public cloud-based SaaS service and products that will be deployed by our users in their data centres and cloud instances.

You’ll solve and overcome challenges to deliver a rapidly growing product portfolio. In addition to helping deliver features you will help drive the system architecture as well as contribute towards defining and improving the best practices we employ to develop new features and products. Initially, your primary coding language will be Python, however, you’ll be tasked with helping the team adopt Go as our primary coding language when compiled code is preferred.

Because you will be joining a rapidly expanding team, you will need to be a team player who thrives in a fast-paced environment, with a focus on rapidly moving research developments into products. We strongly encourage versatility and knowledge transfer within and across teams.

No prior experience of speech recognition is necessary. Speechmatics has a team of speech recognition engineers who will collaborate on all speech recognition related projects and teach you any specialised knowledge required. This will include opportunities to participate in internal training courses aimed at teaching machine learning theory and practice. If you are a talented, detail-oriented engineer with a solid software development foundation and a commitment to deliver the best possible technology solutions, then we want to hear from you!

Key Responsibilities

• Delivering high quality, maintainable and robust code on time, as part of a team
• Executing projects and developing against an outlined design
• Developing pragmatic solutions and building flexible systems without over-engineering
• Involvement at all stages of the software development cycle, including designing and developing new architectural systems and improvements, and QA processes
• Participation in estimation and sprint planning in an agile environment
• Working closely with other technical teams and the product team to deliver on the company’s technical vision
  

Requirements

Essential

• Bachelor's degree in Computer Science or related field
• Professional experience in software development
• Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Analytical with a data-driven approach to making decisions and attention to detail
• Excellent Go skills
• Good Python skills
• Good Linux development skills
• Experience of working within a team to create, deliver, and run high quality systems

Desirable

• Master's degree in Computer Science or related field
• Proficiency in C, C++, or JavaScript
• Strong skills and experience in cloud-based software development, preferably Azure:
• Working with distributed and/or clustered systems.
• Building and running horizontally scaling architectures.
• Using cloud-based queueing, messaging, monitoring and storage techniques.
• Familiarity with some of Kubernetes, Ansible, Docker, Docker Swarm, Elasticsearch, TeamCity, GitLab, JIRA, Kubernetes, Nginx, Nomad, Terraform
• Familiarity with statistical models and data mining algorithms
• Familiarity with Natural Language Processing techniques
• Comfortable collaborating with teams with very different technical skills, and non-technical teams

Perks & Benefits

Salary

Competitive salary (dependent on experience), flexible working and some awesome benefits & perks.

Interested?

Get in touch! Send your CV and covering letter to careers@speechmatics.com.

More about Speechmatics’ culture

Live for the wow | Build authentic relationships | Be the adventure

Innovation is what we do. We build, we iterate, we develop the next thing that delivers that wow moment. We see value in building long-term, authentic relationships that last and are based on trust and honesty. With our customers, our colleagues, our leaders, our suppliers or within our local community. Our journey should be fun and exciting. We will celebrate our successes and learn from our mistakes together along the way. We embrace learning and change to grow naturally and organically as a company and individuals. We trust, we’re honest, kind and respectful.

Job Description

Thought Machine is solving one of the biggest problems in banking. Since launching in 2014, our mission has been to liberate banks from outdated, legacy technology which stifles their ability to innovate. Thought Machine’s core product Vault is a cloud native, core banking engine built to run any type of bank - from established Tier 1 banks all the way to new challenger banks.

To move closer to achieving our mission, we are looking for highly talented individuals to join the fast growing team. With a founding team drawn from Google, we have a deep culture of engineering excellence and we believe it is this which delivers a solution compelling enough to engender a seismic shift in the banking industry.

Thought Machine was recognised on LinkedIn’s Top Startups List (2019) and named in Fintech 50 (2019). We pride ourselves on having an excellent internal culture, where we take cultural fit as important as technical fit when we make new hires. At Thought Machine, we strive hard to create a fast-paced, supportive and fun working environment to enable the team to produce the best technical work in the industry.

Back End Engineering is a key role within Thought Machine as Back End Engineers lead the development of Thought Machine’s Vault product. We pride ourselves in excellence in this role, adopting the best practices in continuous deployment monorepo style development.

While development at Thought Machine is fast paced, you will be expected to develop code to a high standard and production ready state.

DUTIES

• Designing, implementing and developing scalable, performant microservices using best practices.
• Writing automated unit tests, integration tests, etc.
• Interfacing with other engineering teams to ensure that features are added in a structured and coherent way.
• Managing and debugging your deployments from testing environments all the way to production.
• Translating customer requirements into trackable tickets.

Requirements

Essential:

• Experience in either Python or Golang.
• Experience in developing automated tests as an integral part of the development cycle.
• Interest in working on client-facing projects, conducting scoping and defining deliverables.

Desirable:

• Knowledge of banking / finance.
• Experience with AWS or other cloud providers.
• Familiar with databases (SQL or noSQL).
• Experience with client/server software architectures & networking, or microservice architectures.
• Experience using orchestration tools such as Kubernetes or Mesos.

Benefits

• Highly competitive salary
• Pension plan (match up to 7%)
• Life Insurance- 3 times annual salary
• Excellent Maternity and Paternity leave
• Shared parental leave
• 25 days holiday + bank holidays
• Private health insurance with Bupa for you and your family
• Health cash plan (including dental & optical)
• Flexible working hours
• Cycle to work scheme
• Season ticket loan
• Access to exceptional learning materials and courses
• Onsite gym, membership subsidised by Thought Machine
• Sports and hobby clubs, subsidised by Thought Machine
• All the latest tech you need
• Start the day properly with fresh fruit and cereals
• Huge range of healthy (and not so healthy) snacks, smoothies, juice, tea, coffee, soft and alcoholic drinks on tap
• A talented & experienced team as your colleagues
• An environment where we encourage learning and progress
• Weekly food pop up
• Monthly social with arcade games

Thought Machine is committed to making a measurable positive impact on people's everyday lives. We are an equal opportunity employer and value diversity at our company. We actively hire for cultural growth. We welcome people of all ages, backgrounds and value people who take a journey unique to them. We provide everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't precisely match the job description.

Job Description

DESCRIPTION

Ravelin is pioneering the use of machine learning in the prevention of e-commerce fraud and has been very successful in the four years we have been in operation. Companies all over the world are accepting more transactions with fewer chargebacks thanks to our machine learning-based approach to fraud prevention.

THE ROLE

Ravelin is looking for a Software Engineer to own the development of a high volume fraud technology platform within a small tech team. You will be encouraged to have opinions about the strategic direction of the company and products, as well as owning the development team from the front.

In the day-to-day work, you’ll be working closely with our skilled engineers to build internal processes that are so reliable they melt into the background and run software at scale under real-world conditions.

Ravelin also encourages learning and development of new and existing skills (machine learning, neural networks, python, Golang, cloud automation etc).

RESPONSIBILITIES

• Developing reliable and resilient software
• Working closely with Data Scientists, Data Engineers and Product Managers
• Build internal process and tools
• Build microservice architecture using Go
• Contribute with ideas and suggestions

REQUIREMENTS

• Substantial and demonstrable experience in a programming language(s)
• Understanding of data structures and algorithms
• Experience with Database (design principles)
• Working experience with testing and quality
• Knowledge of Version control

Preferable:

• Experience with Golang
• Knowledge of Cloud technologies (GCP, AWS, or Azure)
• Agile software development
• Micro-services architecture
• Containerisation (Docker, KVM, Kubernetes, etc)
• Knowledge of CI/CD

Perks & Benefits

BENEFITS

• Competitive Salary & Equity Package
• 25 days time off plus holidays
• Fortnightly demos/updates
• Fortnightly team lunches and regular company socials
• Flexible working hours
• Office yoga, football, and board game nights

Job Description

Remerge is a fast-growing mobile advertising scale-up that has become the no.1 app retargeting company over the last 6 years with offices spanning Berlin, San Francisco, New York, Singapore, Beijing, Seoul and Tokyo. Remerge enables app developers to re-engage up to 3.3 million users per second across 1 million apps globally in order to increase retention and boost user lifetime value. We love data, designing for the user and anything that helps drive intelligent decisions.

Job mission

As a part of our Backend team you will be working on our bidding, data processing and machine learning infrastructure. This involves services which are distributed around the globe, handling more than two million requests per second and generating terabytes of data daily. Our tech stack consists of a variety of technologies such as Golang, Python, Kafka, Druid, Aerospike, Ruby, Elasticsearch, Chef, Hadoop, Spark, TensorFlow, Terraform and Kubernetes.

Responsibilities

• Add features to and refactor existing code on our bidder while maintaining a sub 100ms response latency.
• Build real-time processing pipelines to transform, aggregate, and ship data both internally and to external partners.
• Develop supporting systems and infrastructure for machine learning research, such as model repositories, feature stores, and training environments.
• Decide on appropriate metrics, logging, and alerting to ensure our distributed system stays in sync and operational 24/7/365.
• Work in a hybrid environment that mixes on-premise with cloud based infrastructure (mainly AWS and GCP).

Requirements

• We are not concerned with what kind of certificates and diplomas you have acquired so far if you are able to pragmatically solve a problem.
• A good understanding of underlying software development and computer science concepts.
• Previous experience with, or a strong desire to learn, the Go programming language.
• Analytical skills for performing exploratory work, combining data from multiple sources to find patterns.
• Interest in developing solutions for problems inherent to globally distributed real-time systems.
• Previous experience building and working with machine learning infrastructure is a plus.
• Ownership of your work - build it, deploy it, fix it, monitor it, repeat.
• Ability to communicate ideas, technical concepts, and analysis results in a meaningful way to non-technical colleagues.

Our Promise

• Team that values good engineering practices, lean processes and simplest working solutions
• Opportunities to learn and expand your skill set
• Mentorship program for technical and non-technical skills
• Work when and where it best fits you either from home or our brand new office
• Generous remuneration package including virtual shares, a dedicated education budget and end of the year bonus
• Travel to our offices around the globe for a short term assignment for up to a month each year
• Comfortable work setup - laptop, phone, screen(s), standing desk etc.
• Support for your setup while working from home

Remerge is an Equal Opportunity Employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, veteran status or disability. We're looking forward to your application!

Job Description

About the Role

At Techcyte, we are building machine learning algorithms for microscopy testing using the latest in deep learning. To support these applications, we use AWS in a dynamically scaling environment while maintaining the availability and quality requirements of medical grade software.

We use the following technologies (and more!):

• AWS (S3, EC2, ECS, CloudFront, DynamoDB)
• Terraform, Vault, Packer
• Gitlab CI
• Tempo (OpenTracing)
• Go, ReactJS, Python
• Docker, Ansible
• Prometheus, Grafana

The goal of our DevOps team is to create a self-service system for everyone to get their job done. This means designing intuitive and well-documented infrastructure as code that allows others to get their jobs done efficiently, securely, and correctly instead of doing it all for them. At Techcyte, we believe the primary developers are the best suited to dissect production problems, and the DevOps team provides top-notch tools and methods to help them do that. As such, our DevOps members are still developers and will participate in product development, but they should be evangelists for thinking about code in the context of where and how it runs.

Candidates must meet the following requirements:

• Have a BS in Computer Science or a related degree, or related experience
• Be authorized to work in the United States
• 4+ years experience building on AWS or other cloud infrastructure
• Excellent coding skills (main languages in the company are Go, ReactJS, and Python)
• Ability to work on remote Linux systems
• Current with modern dev tools and methodologies such as agile development, git, bug trackers, and team chats.
• Be able to work remotely
• Ability to optimize queuing and complex systems to improve speed or costs
• Knowledge around best security practices
• Experience with SQL databases

Candidates will be asked to code in the interview process.

About the Company

Work from Home

While we do have offices available for use, our workforce spends the majority of their time working from the comfort of their home. Every team member has a daily standup meeting to touch base with their team and a monthly all hands meeting for the whole company to get updates. Additional meetings are created as needed, and the majority are impromptu.

Benefits

We offer competitive salaries, healthcare benefits, paid time off, work from home, a bonus plan, and equity.

Hard Problems

Techcyte develops products using computer vision and deep learning to automate microscopy for laboratory testing for healthcare, veterinary services, and environmental testing. We need to analyze the equivalent of a blu-ray movie worth of images in the cloud in only a few minutes while staying reliable and accurate. Major problems include transferring, processing, and storing terabytes of data, creating queuing systems that balance turnaround times with costs, and building a pipeline around machine learning models that meet the accuracy requirements of human healthcare.

Extremely Talented People

We have a wide range of talent spanning a variety of industries and positions. We have built a culture of fast paced and agile development in the face of a healthcare system that has been rigid. We are building massive scale systems to implement bleeding edge research. Come interview with us and you will see top notch engineering talent that can compete with any organization on the planet.

Improve the World

Our mission is to improve healthcare and laboratory testing throughout the world. We improve the work environment for our users, improve the accuracy of tests, and lower costs and turnaround times for the healthcare system. We push new innovation in technology, workflow, and regulations to make the healthcare system the best it can be. We have already improved accuracy in laboratory testing that have prevented misdiagnoses, and we are striving to do more.