Golang Distributed Systems Jobs in United States Paying 50,000 USD a Year
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Browse 150+ Golang Distributed Systems Jobs (1 new this month) in United States 🇺🇸 in December 2024 at companies like smlXL, Netflix and Watchtower AI paying at least 50,000 USD per year working as a Staff Site Reliability Engineer, Senior Site Reliability Engineer, CORE and Platform Engineer. Last post
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10 of 157 Distributed Systems Jobs in United States 🇺🇸 paying at least
50,000 USD per year • Sort by
Date
Staff Site Reliability Engineer smlXL New York City, United States $170,000 to $250,000 a year
May 2023
6 Applicants This Week
More Than 6 Months Old
Job Description
About the job
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
Experience keeping production systems running smoothly, experienced with working on private cloud/colo/bare-metal environments
Experience building software and systems to manage platform infrastructure and applications
Experience with and/or a desire to go deeper into blockchain technology and crypto protocols
HashiCorp or Nomad experience is a plus
You care about polish and adding value to our users but not perfectionism for perfectionism’s sake
You love working collaboratively with different disciplines and learning from others
You are an expert who stays curious with a beginner’s mindset
You are a thoughtful communicator and collaborator and work to gain consensus with your peers and stakeholders, but you’re not afraid to speak up
You want to win, but prefer to win as a team
You are proactive
You are thoughtful and open about your priorities, goals, and aspirations so we can help you achieve them
You have specific passions outside of work
We believe that on average it will take 5+ years of experience in an engineering role to get to the level we want, but don’t let that stop you
Benefits and Support
Comprehensive health benefits (Medical, Dental, Vision, Life)
Flexible working hours, flexible WFH policy and unlimited time off with approval
Gender-neutral parental leave program for primary and secondary caregivers
Competitive salary and equity compensation with 401K retirement plan options
Physical, Mental, and Financial Well-being applications are provided at little to no cost, including fertility benefits, fitness classes, mental health, physical therapy, and healthcare apps (One Medical)
We encourage, support, and make time for our team members to invest in side projects and community projects
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.
Outcomes
Improve our incident management lifecycle to identify, mitigate, and learn from reliability risks
Increase our reliability through establishing guidance and methods of improvement
Form and maintain relationships with internal and external partners
Develop deeper insights and analysis into the quality of experience for our customers
We Value
Curiosity about how complex sociotechnical systems successfully operate at scale when failure is inevitable
People who see influence as their preferred tool for cultivating relationships
Collaboration and continuous improvement
A desire to learn and readiness to teach
Iteration as the path forward
Our Work
Drive incidents to resolution by coordinating with multiple engineering teams
Identify sources of instability in large-scale distributed systems and drive operational excellence
Analyze complex systems from a reliability and resilience perspective
Engage with product teams to diagnose operational surprises and carry forward improvements
Improve reliability and drive down the burden of toil with tooling and automation
Nice to Have
Experience with global, continuous delivery methods
Development with Python, Go, Java, or JavaScript/Node.js
Involvement with incident management and response
Knowledge of cloud platforms like AWS and microservices architecture
Platform Engineer Watchtower AI San Francisco, United States $120,000 to $200,000 a year
September 2019
1 Applicants This Week
More Than 6 Months Old
Job Description
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
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.
At Palantir, we’re passionate about building software that solves problems. We partner with the most important institutions in the world to transform how they use data and technology. Our software has been used to stop terrorist attacks, discover new medicines, gain an edge in global financial markets, and more. If these types of projects excite you, we'd love for you to join us.
The Role
The Deployment Infrastructure team's goal is to accelerate the end-to-end engineering lifecycle at Palantir by building tools and platforms that make it easier to create, deploy, and iterate on secure and highly available software. As a Software Engineer on the Deployment Infrastructure team, you will reimagine how our company builds and deploys software and how we use data to make decisions, then build the products and infrastructure to enable that new approach.
Core Responsibilities
*Build and maintain highly available systems responsible for service deployment & telemetry across hundreds of production environments.
*Design and evolve software managing in-environment service discovery and configuration of microservices.
*Architect and manage secure, scalable infrastructure utilizing Kubernetes to support our external and internal use cases.
*Develop tools to enable other engineers such as CI/CD pipelines, container schedulers, and custom applications.
*Debug complex issues and performance problems throughout the stack.
What We Value
*Experience in Software Engineering or similar field
*Systems programming experience in Golang, Java, or equivalent
*Experience developing and managing highly-available distributed systems
*Demonstrated success building systems that meet requirements around monitoring, stability, and scalability
*Deep familiarity with containers (Docker) and orchestration (Kubernetes) at scale
*Experience working with a cloud provider (AWS/Azure/GCE) or in-house data centers
*Knowledge of infrastructure automation tools such as Terraform
Palantir is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@palantir.com.
Senior Golang Engineer All In Bits San Francisco, United States / Remote (United States) $180,000 to $200,000 a year
July 2023
1 Applicants This Week
More Than 6 Months Old
Job Description
About the Role:
We are seeking Golang Engineers who are passionate about developing cutting-edge technology. In this role, you will be tasked with creating and implementing features such as Golang interpreters, libraries, developer tools, and utilities to power the Gnolang language. This is an opportunity to contribute to a groundbreaking platform from its inception and help shape the future of smart contracts in the blockchain industry.
Basic Qualifications
Exceptional proficiency in Golang, with a minimum of 5 years of software engineering experience.
Proven experience with open-source projects.
Strong problem-solving skills and the ability to work autonomously on complex problems.
This role will be based in the United States.
Nice-to-Have
Interest in or knowledge of computer science fundamentals, such as network, storage, OS, data structures, transpilers/compilers.
Familiarity with concepts such as proof-of-stake, consensus algorithms, decentralized exchanges, public-key cryptography, and DeFi/Blockchain projects.
Experience with Solidity and a solid understanding of Solidity/Ethereum concepts.
Experience working with distributed teams and building distributed systems.
$179,000 - $200,000 a year
Please note that the salary range provided is for reference purposes only. During the interview, we will evaluate each candidate's experience and skills and determine an appropriate salary offer. We are committed to practicing salary transparency and equity, offering competitive compensation packages based on a candidate's qualifications and experience. Our dedication to ensuring that our employees are compensated fairly for their contributions demonstrates our belief in creating a fair and equitable workplace.
About Us:
All in Bits (AiB) aims to create a more transparent and accountable world through open-source software that enables permissionless innovation and borderless transactions. Our technology empowers builders to launch sovereign blockchains and decentralized applications (dApps) that are secure, scalable, and interoperable.
AiB is a longstanding contributor to the Cosmos ecosystem. In 2014, our CEO, Jae Kwon, was the first to introduce a solution to the Proof-of-Stake distributed consensus problem, building the core infrastructure that powers Cosmos today including Tendermint Core and Cosmos SDK. From creating and funding to engineering and marketing, we prioritize simplistic and minimalistic approaches to building technological solutions that endure.
AiB is committed to upholding core Cosmos values of transparency, accountability, and decentralization. That’s why we support the creation of the Decentralists DAO for the Cosmos Hub to move all operations on-chain, starting with engineering. By establishing the DAO registered team, we aim to advance core components of the Cosmos tech stack and encourage open dialogue, decision-making, and innovation.
How we work:
We focus on talent rather than location to hire the very best person for every role. Open communication is vital, and we use the best tools to collaborate efficiently. Everyone has the autonomy to create their best work, which we reward with unlimited growth potential. AiB is remote-first, and to support your working life, we offer carefully considered benefits and hold regular team and company-wide meetings to encourage collaboration and interaction between teams.
You have the flexibility to work the hours best suited to your lifestyle; as long as you deliver consistent quality work, the sky's the limit! You will be required to be available from 8 am - 10 am PST some days when we bring our people together to contribute to our Town Hall sessions. We value diversity, inclusivity, honesty, and accountability. AiB is a place where talent thrives and you'll have the opportunity to carve out an exciting career trajectory best suited to your unique skills and interests.
Direct applications only. Ignite does not accept unsolicited resumes from recruiters or employment agencies in response to Ignite website or social media posts. Ignite will not consider or agree to payment of any referral compensation or recruiter fee relating to these unsolicited resumes. Ignite explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resume, including those submitted to hiring managers, are deemed to be the property of Ignite.
We are looking to bring on a Backend Engineer to join our FinTech practice. Backend Engineers will work with our frontend, mobile, and design teams to design and build the services that perform a variety of different banking and financial operations. The ideal candidate is a self-motivated engineer with experience shipping reliable, performant, scalable, and instrumented services. We are looking for a teammate that enjoys mentoring teammates and working closely with users.
Responsibilities:
• Partner with multiple internal and external teams to design, develop, and deliver scalable solutions
• Build backend systems using Go, Docker, Postgres, and AWS
• Plan, triage, and prioritize work across multiple projects and clients
• Plan, build, and maintain test infrastructure
• Share your knowledge with teammates and help mentor and guide clients
Qualifications:
• 5+ years of experience building backend systems
• 3+ years of experience with SQL
• Experience designing and developing distributed systems and event driven architectures is preferred
• Strong communication skills
Backend Engineer Launch Darkly Oakland, California, United States $105,000 to $155,000 a year
February 2021
2 Applicants This Week
More Than 6 Months Old
Job Description
As a Backend Engineer, you will help us build features, design and implement API methods, and improve the performance and reliability of our systems. We're looking for someone who knows what it takes to deliver value to customers and takes pride in the quality of their work.
Our platform serves over twenty billion feature flags daily. The core technologies we use daily include Golang, React, Redux, MongoDB, ElasticSearch, Redis, HAProxy, and NATS.
As part of our you-build-it-you-run-it culture, all developers may be responsible of support applications in production, including on-call. On call is compensated in addition.
What you'll get to do:
Build and expand our APIs and services, written in Go
Collaborate with frontend engineers to deliver user-facing features
Monitor and improve server-side performance
Write unit, integration, and load tests as necessary
Actively participate in code reviews
Write and review technical proposals
Improve engineering standards, tooling, and processes
On day one, you should have:
Proven experience and fluency with server-side web development (e.g. in Java / Scala, Ruby, Python, Golang, Node.js)
Experience building RESTful APIs
Strong computer science fundamentals: data structures, distributed systems, concurrency, and threading
Strong communication skills, a positive attitude, and empathy
You write code that can be easily understood by others, with an eye towards maintainability
You hold yourself and others to a high bar when working with production systems
You value high code quality, automated testing, and other engineering best practices
Bonus Points:
Experience with NoSQL databases (MongoDB, ElasticSearch)
A deep understanding of networking technologies (TCP, HTTP, websockets, server-sent events, etc.)
About LaunchDarkly:
LaunchDarkly is a Feature Management Platform that serves hundreds of billions of feature flags daily to help software teams build better software, faster. Feature flagging is an industry standard methodology of wrapping a new or risky section of code or infrastructure change with a flag. Each flag can easily be turned off independent of code deployment (aka "dark launching"). LaunchDarkly has SDKs for all major web and mobile platforms. We are building a diverse team so that we can offer robust products and services. Our team culture is dynamic, friendly, and supportive. Our headquarters are in Oakland.
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
We've partnered with KeyValues to help demonstrate the amazing culture we've built here at LaunchDarkly, find more info at https://www.keyvalues.com/launchdarkly
LaunchDarkly offers:
Full Medical, Dental & Vision insurance
Unlimited vacation
Flexible schedule & work environment
Healthy lunches & snacks every day.
Conference & meetups as an opportunity for everyone.
A yearly education stipend for conferences and classes on your own.
A budget to personalize your work station.
A location in downtown Oakland, just steps from public transportation
Sr. Video Engineer Frame New York City, United States / Remote (United States) $125,000 to $150,000 a year
January 2021
2 Applicants This Week
More Than 6 Months Old
This job posting is no longer available
Job Description
About Frame
Frame.io is changing the future of how videos are made by helping over 1 million creative professionals seamlessly collaborate from all over the world.
We’re backed by Accel, FirstMark, Insight Partners, SignalFire, Jared Leto, and a host of other amazing investors. Our market-leading product is used and loved by companies such as Turner, Disney, NASA, Snapchat, BBC, BuzzFeed, TED, Adobe, Udemy, and many more.
We’re in an exciting period of growth and are always seeking extremely talented and passionate individuals who share our vision for helping visual content creators produce their best work.
About the Role
Engineers at Frame.io are creative, technical people making beautiful and powerful tools to help other creative, technical people to do their best work. We have to be—Frame.io is the thread that runs through the entire video post-production process.
We're looking for a media focused systems engineer to join our growing engineering team. You'll work in an autonomous group that builds cloud-based services to power our entire media processing and delivery pipeline: the service at the very core of the Frame.io product. You will prototype innovative ideas and look to continuously optimize and enhance our media pipeline.
Some projects members of this team have built recently include:
An HLS and Dash streaming video service, built using Cloudfront, Lambda@Edge and API Gateway.
An on-the-fly watermarking system, encoding segments within Lambda functions.
A PDF page extraction service, generating up-to 4k images per page of a PDF.
We also have some very exciting initiatives around live capture from multiple sources into the Frame.io cloud. We rely heavily on AWS services to build these systems; in fact our whole video encoding process was recently the subject of an in-depth AWS showcase that you can check out HERE.
As a team we work with petabytes of data, hundreds of thousands of video encodes per day, and the challenges and demands that come from working at the very forefront of delivering Enterprise grade secure review experiences. This is a great opportunity to enhance your cloud computing knowledge; you'll be expected to design, build, and maintain cloud-based services that our client teams and customers consume.
Requirements
Experience working in Go (Golang), Python, Java, or C++.
A background working with video or image processing.
Past experience with Cloud Computing platforms: AWS, Microsoft Azure, Google App Engine or similar.
Past experience working with distributed systems, especially in a media business.
Great communication skills are a must.
Bonus points if you have
Worked across the full multimedia streaming and playback stack
Knowledge / understanding of audio video encoding such as H.264, AAC, HEVC, AV1 or streaming formats such as HLS, MPEG-DASH and also live streaming.
Experience with DRM and HLS-AES.
Knowledge of advanced and emerging video standards such as HDR10, Dolby Vision, 360 videos.
Experience in analyzing and improving performance of CDN infrastructure
Responsibilities
You'll work to plan, design, and execute new end-to-end multimedia-focused services and infrastructure for our customers and web, mobile and platform teams.
You'll work closely with other client and service teams to deliver your services. This means partnering to make sure you're designing clear APIs and well defined contracts. Ideally, you'd also learn to work throughout our tech stack.
You'll be responsible for running and maintaining the services you build – that means being on-call and accountable for meeting defined SLAs.
You'll be educating the wider engineering team on video engineering and the work you do.
You'll receive close guidance and mentorship from our engineering managers and leads, as well as code reviews from your peers.
Benefits
Competitive salary and equity
Paid parental leave for primary or secondary caregivers
Unlimited PTO and designated Volunteering paid time off
Work From Anywhere Week
Yearly stipend for learning and development
Medical, Dental, Vision Insurance and OneMedical membership
Pre-tax commuter benefit and Flexible Spending Account
Daily catered lunch & fully stocked kitchen with cold brew on tap
Discounted gym membership, Classpass discount and Free Citi-Bike membership
Our Philosophy
Our philosophy is simple. At Frame.io, we believe that working with people of different backgrounds and perspectives allows us to elevate each other and helps us build a better product for our users.
We’re proud to be an equal opportunity employer, and are committed to providing all employees with a work environment that celebrates individuality and remains free from any form of discrimination and harassment. We base our employment decisions on the needs of our business, job requirements, and applicants' qualifications. In other words, we only care that you’re the best person for the job.
Meredith Corporation is looking for an experienced Senior Software Engineer to continue building its advertising platform. As a key member of our development team, you will be responsible for extending, architecting, documenting, improving and building all our Backend Services, as well as some Frontend services, including our proprietary Ads Server, Analytics, Tracking and Reporting Systems. Your first project in this role will consist of integrating our different Shopper Backend Services with multiple Big-Box Retailers to handle, build and deliver meaningful context-based Ads across our own-and-operated network in real time.
II. Essential Job Functions
20%
Participate in build out of proprietary Ads Serving platform for Backend and Frontend services.
20%
Implement code, write unit tests and participate in code reviews.
30%
Design and develop software in Go.
10%
Design and develop software in TypeScript and VueJS.
20%
Analyze business processes to identify product improvements.
100%
III. Minimum Qualifications and Job Requirements | All must be met to be considered.
Education:
Bachelor in Computer Systems or equivalent years of professional experience.
Experience:
Excellent problem solving and communication.
Strong experience in Algorithms, Object Oriented Programming and Design Patterns.
Strong experience in Testing: mocking and stubbing.
Strong experience using Git.
Strong experience with data modeling and SQL (PostgreSQL 10.5+, MySQL 5.2+).
Experience with NoSQL databases (Key Value, Document-Oriented, etc).
Experience building and designing highly scalable distributed systems.
Comfortable working in a fast paced and agile environment.
Constantly seeking ways to improve the platform.
Specific Knowledge, Skills and Abilities:
Experience with the Go toolchain (mod, build, install, test, cover, etc).
Experience with Amazon Web Services (Cloudformation, MSK, Elasticache, Redshift, EMR, Kinesis, ECS, etc).
Experience with HTML, CSS/SASS, AJAX, TypeScript and VueJS 2.0.
Experience with Continuous Integration and Continuous Delivery.
Experience with gRPC and Protocol Buffers.
Experience with NewRelic, Amazon Cloudwatch and Splunk.
Experience with OpenAPI 2.0 (fka Swagger).
Experience with Docker.
Advertising Experience.
It is the policy of Meredith to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Meredith will provide reasonable accommodations for qualified individuals with disabilities.
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.