Software Reliability Engineer

Palo Alto, CA

Posted: 01/21/2020 Employment Type: contract or contract to hire Industry: E-Commerce Job Number: j-3829

Job Description

Software Reliability Engineer

Our solution is the easy and affordable way to buy stock. You can buy fractional shares of stock in publicly-traded companies. Rather than buying an entire share of stock, you can get just the amount you want. This means you can buy $25 of Amazon stock even though 1 share costs about more than $1000.
We have also invented the world’s first gift card for stock! For the first time ever, you can buy $25, $50, and $100 gift cards off the gift card rack at selected retail stores send e-gifts from our website or mobile app.
Our mission is to democratize stock investing. 86% of the population has never had a chance to own stock because it’s intimidating and expensive, but it doesn’t have to be that way! We’ve broken down the barriers to stock ownership by building our own fractional shares platform and partnering with Fortune 500 companies to bring the stock market to you, whether you’re grocery shopping or doing your mobile banking. 
Based in Palo Alto, venture-backed, and our team comes from diverse company backgrounds. We’ve been featured in the Wall Street Journal, CNBC, Consumer Reports, and many others. We’re building a team of exceptionally talented people to join us on our mission, and would love to talk to you!

Challenges that you may tackle include:

    • Instrumentation and metrics collection from AWS lambda FaaS or otherwise immutable containers
    • Minimize and harden microservices and public-facing API gateway attack surface
    • Continuous delivery using tools such as Jenkins pipelines, Docker, Kubernetes
    • Observability, capacity planning, system and service performance analysis, and tuning
    • Orchestration of AWS VPC resources using tools such as terraform, boto, consul

Some of the technologies you will be working with:

    • Configuration management: ansible, aws-cli, git, kops, Kubectl
    • Operating Systems: mostly linux
    • Containerization and virtualization technologies: Docker Enterprise, Kubernetes
    • Metrics and monitoring: statsd, ELK, PagerDuty, Slack chatops
    • Messaging: Kafka
    • Microservices patterns: Ribbon, Hystrix, nginx
    • Databases: Couchbase (NoSQL, N1QL), memcached, Elasticsearch, PostgreSQL, Oracle
    • L2-L7 frame/packet/session inspection: netflow, WAF, pcap

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