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The Principal Software Engineer opening is an exciting opportunity to join SendGrid’s Customer Growth Engineering team, developing features and software that impact all points of the customer lifecycle. You’ll make a tremendous impact with the team that spearheads microservice development and operability at SendGrid, using the latest distributed systems programming techniques and technologies like rate limiting, circuit breakers and multi-datacenter (including AWS). You’ll bring the ability and experience to write complex backend services, communicate effectively with cross functional teams, and have a tremendous drive to hone your craft.
Denver is our global headquarters and home to the Customer Growth Engineering team, our revenue growth engine - which your efforts will directly impact.
What You’ll Do
Our stack includes: Golang, Docker, Redis, Kafka, MySQL, AWS
About You
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PubNative is a mobile publisher platform that serves native ads via a scalable and flexible API for mobile apps and web. Our publisher-first approach focuses on the specific needs of each publisher across all verticals. Our ad serving technology is used by developers and publishers around the world.
Our system consists of a myriad of high load Golang-based APIs, iOS SDKs, Ruby/Rails 5 dashboard, Scala and Spark data- and ML pipelines, Druid OLAP system, running on a Mesos and Kubernetes cluster.
We're always on call to keep our networks up and running, ensuring our users have the best and fastest experience possible. We follow “Infrastructure as Code” model and immutable deployment strategies.
We are looking for a Site Reliability Engineer (m/f) to help us build and operate infrastructure platforms, and provide technical consultancy to engineering teams on how to build reliable, scalable and efficient services.
Our Responsibilities: - You help us build a hybrid, poly-cloud-provider environment - You help to design, develop and operate monitoring, tracking platforms - You drive scalability and operability of supported systems/infrastructure - You participate in on-call rotation and be on-call for the services you build and support - You work with other teams to provide consultations in systems architecture support for new and existing production systems - You write code so that you can automate tasks, support SLA for Production Systems, you support other engineering teams on reliability, scalability and efficiency topics - You manage OS image/templates via Packer, provision infrastructure via Terraform - You support CI/CD and make new pipelines - You engage in and improve the whole lifecycle of services—from inception and design, through deployment, operation, and refinement - You support services before they go live through activities such as system design consulting - You maintain services once they are live by measuring and monitoring availability, latency, and overall system health
Our Requirements: - 3+ years of experience in a Site Reliability role/Full-stack developer - Experience with public cloud providers (AWS, Google Cloud, Digital Ocean, etc.) and Infrastructure as Code (Terraform) - Strong programming skills and familiarity with modern programming languages: Go, Ruby, Python, Shell etc. - Knowledge of managing docker containers and microservices via Kubernetes - Experience building and monitoring systems and metric collection pipelines - Track record of building automation and solving multi-datacenter/clouds infrastructure problems - Knowledge of algorithms, data structures, complexity analysis, software design and reverse engineering - Interest in designing, analyzing and troubleshooting large-scale distributed systems - Experience working with source control - Git - Experience with continuous integration platforms such as TeamCity, Jenkins, CircleCI etc. - Understanding of Agile, DevOps practices such as CI/CD, automated testing etc.
smlXL is a 'stealth' start-up building an Information retrieval service with Consumer and Enterprise applications. Our first focus is providing a far richer understanding of the semantics of blockchain activity, making data and information accessible and useful to all.
We aren't ready to talk broadly about what we are working on, but we might be a good place for you if:
You are highly technical; you care about your craft; you are constantly learning; used to working on baremetal servers and running your own stack, you are fascinated by Information Systems, Semiotics, and Blockchain data; you get excited by turning black boxes transparent; and you love working on things that add a ton of value to consumers and prosumers alike; or you are into the EVM, decompilers, databases, and distributed systems.
About You
Benefits and Support
We are looking for a senior backend engineer who has worked on software and tech solutions at scale. Our daily engineering challenges include optimizing our logistics network of warehouses and carriers, building a customizable delivery experience and tracking packages world-wide in real-time. Come join an engineering team that is shaping a new, frictionless logistics experience.
Role
Bonus
At Netflix, we strive to bring joy to people across the world through amazing stories. As we grow internationally, we are continually enhancing our cloud-based infrastructure to improve our performance, scalability, and reliability.
The SRE team's goal is to ensure customer joy by successfully managing risk and minimizing impact across Netflix. We do this through cross-functional engagement with other engineering teams, managing issues when they happen, as well as promoting reliability and resilience practices throughout the organization.
As an early Platform Engineer at Watchtower, you’ll enable us to deliver our platform reliably, securely, and at massive scale. You’ll help architect low latency, real-time microservices that process & detect sensitive data at scale.
Responsibilities:
Building highly-available and secure authentication and API services Maintaining and evolving mission-critical internal databases and services Optimizing and operating high volume auto-scaling streaming data services Instrumenting streaming data services for visibility into utilization per customer
Qualifications:
Expertise in one or more systems/high-level programming language (e.g. Go, Rust, Python, Java, C++) and the eagerness to learn more. Eagerness to wear multiple hats in a startup environment Experience running scalable (thousands of RPS) and reliable (five 9’s) systems. Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability. Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. Cassandra, CockroachDB, Spanner) Ability to decompose complex business problems and lead a team in solving them Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper
Tools We Use:
Go, React, Python, Cassandra, Redis, Terraform, Docker, Kubernetes, AWS (SQS, S3, Redshift, RDS, EKS), Kafka, Envoy
About Watchtower:
Watchtower is a cybersecurity startup dedicated to helping enterprises secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in the modern enterprise is often sprayed across a broad set of cloud systems (e.g. SaaS & data infrastructure), and it’s a herculean task for security teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for companies to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and APIs. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup based in San Francisco and Palo Alto, well-funded by leading institutional investors with deep expertise in the cybersecurity industry. Learn more at our website www.watchtower.ai or by reaching out via email at careers@watchtower.ai.
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At source{d} we are building the technology stack for the next generation of Machine Learning powered developer tools. We are an open-core company built around our Open Source projects.
We have raised over ten million USD so far, and we are currently growing our team.
This is a remote position however can also be based from our Madrid office.
All remote applicants must be based between the San Fransico and Moscow Timezones
Responsibilities
Requirements
Preferred Requirements
Team
The Data Retrieval team is developing source{d}'s data retrieval pipelines that synchronize and provide access to any number of code repositories. Written mostly in Go, it aims to be robust, friendly, flexible and capable of running on large-scale distributed clusters over petabytes of data.
We at source{d} seek to be at the heart of any project related to source code. Thus, this core tool is used both in-house for building source{d}'s unique global scale open dataset of +60M code repositories for cutting-edge Machine Learning research, as well as used by our customers to ingest git repositories to their source code processing clusters.
Culture
Perks
Other
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Gtmhub is the world’s most beautiful and intuitive Objectives and Key Results (OKRs) management and employee experience solution. We build enterprise-scale software with a consumer-grade experience.
We help organizations amplify revenue growth by aligning every employee with their corporate purpose using the OKRs method. We are big believers in the power of employee experience to drive productivity, so our product facilitates best practice employee success features.
At heart, we are product people who love data so much that we built the only solution that integrates more than 150 data connectors to allow for true automation of progress and productivity management.
The Role
The term site reliability engineering is credited to Benjamin Treynor Sloss, Vice President of Engineering at Google. He said site reliability engineering is “what happens when a software engineer is tasked with what used to be called operations.”
To us, a Site Reliability Engineer (SRE) is responsible for the availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of their services.
SREs design and implement automation with software to replace human labor. They want systems that are automatic, not just automated—such that their services are able to run and repair themselves.
Responsibilities
Engage in and improve the entire lifecycle of services—from inception and design, through to deployment, operation, and refinement/system tuning
Support services before they go live through activities like system design consulting, developing software platforms and frameworks, capacity planning and launch reviews
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health
Identify performance bottlenecks and troubleshoot performance issues
Scale systems sustainably through mechanisms like automation, and evolve systems by advocating for changes that improve reliability and velocity
Practice sustainable incident response and postmortems
Basic Qualifications
Experience with algorithms, data structures, complexity analysis, and software design
Ability to work across teams (business and technical) to continuously analyze system performance in production, troubleshoot consumer reported issues, and proactively identify areas requiring optimization
Preferred Qualifications
Expertise in designing, analyzing and troubleshooting large-scale distributed systems
A systematic problem-solving approach, accompanying effective communication skills, a sense of ownership, self-direction, and drive
Ability to debug and optimize code and to automate routine tasks
Practical experience in supporting application reliability practices for consumer-facing web and mobile experiences
The Stack
Our tech stack includes (but is not limited to):
Kubernetes, Docker, Golang, Java, GAP, ELK, OpenTracing, Python, OpenShift, Terraform, Ansible
We started in Sofia in 2015 with a mission to ship a world-class data management and analytics engine which allows companies to automatically track and visualize KPIs in real-time and create custom insights to inform goal setting, performance management, and long-term strategic decision making. Today we operate across offices in Sofia, London, Berlin, and San Francisco.
Apply today if our mission inspires you! Join us in developing yourself and others as our Site Reliability Engineer.
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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
Requirements
Essential
Desirable
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.
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We’re Hackmind. Welcome.
We fund and support scientists & engineers to build decentralized AI startups from ideation to launch. Hackmind is an AI-focused incubator in Berlin, the capital of cryptocurrency. We invest in raw technical talents with ambitious visions and risky ideas to transform slow industry using AI and decentralized approaches.
This is Hackmind. Adventure awaits you…
We are looking for a software developer to help build trading systems and trading tools used in the management of hackmind portfolio.
Responsibilities: You will build architect the hackmind execution trading platform You will work very closely with our traders to develop a number of different algorithmic execution solutions to help limit market impact Management and execution of connecting to new exchange API’s Management of hackmind data capture and storage of historical data Analysis of liquidity across numerous different exchanges and liquidity pools Help build tools to visualize hackmind portfolio and trading activities
Requirements:
Mastery of C++, Golang, Rust or a similar low-level language Experience with python Experience developing in low-latency systems Experience with computer security Experience in cryptocurrencies is a plus Experience with distributed systems Interest in trading and markets Excellent communication skills Enjoy working with a lean team in a fast paced environment