Full Stack Software Engineer
** This role is based in Austin, TX and we are not considering applicants based elsewhere.
Who We Are
Venture-backed by Battery Ventures, Simon Venture Group and Spring Lake Equity Partners, SmarterHQ develops a multi-channel behavioral marketing platform, empowering some of the largest brands in the world, including Finish Line, Eddie Bauer, Sam's Club and many more, to personalize individual customer interactions in real-time. Founded and led by executives from ExactTarget (Salesforce), Bazaarvoice, Adobe and other market-leading companies, SmarterHQ provides its clients with a SaaS platform that produces incredible analytics and ROI through personalized marketing campaigns. Our tools create and automate these campaigns through analyzed customer behavior, aggregated online and in store.
Ideal Candidate
The Full Stack Engineer role is based in our Austin, TX office and reports to the CTO. You will work alongside the data science team led by Dean Abbott, the #1 most influential data scientist in the world. You will be responsible for working with our data science, in-house design and UX team on designing and implementing new features and functionality for our platform.
You are talented, passionate, motivated and ready to expand your skill set and responsibilities with a rapidly growing big data and machine learning company. You enjoy working with a great team and collaborating to drive effective solutions to complex problems. You also take ownership of your deliverables ensuring quality and timely delivery. We provide a flexible work environment that enables autonomy and promotes effectual delivery. We don’t get caught up in rigid processes and procedures.
Job Requirements
5-10 years of Front-End development in a SaaS company working on commercially available and successful products
Experience JavaScript UI frameworks, such as React or AngularJS.
Experience with HTML5, SASS, CSS
Experience with the back-end (.NET, C# and JavaScript; SQL, MS SQL, or Postgresql; Python)
Experience in Agile methodologies and a startup mentality
Good written and verbal communication skills, and ability to articulate clearly.
Ability to work effectively and collaboratively in a team, flexible, resourceful and creative
Bachelor’s degree in Computer Science from accredited university or equivalent experience
Nice to Have
Working knowledge of microservice and distributed system architectures
Experience with AWS services such as S3, Lambda, Kinesis
Experience with AWS Redshift
Experience working with data scientists, machine learning, and dedicated DevOps teams
Experience with Atlassian tools such as Jira and Bitbucket.
Our Methods
Scrum for platform teams; Kanban for ops teams (we believe in the agile manifesto)
Groomed backlog of user stories with thorough acceptance criteria
Direct customer feedback – see how you make a difference every day
A Day in the Life...
Standup / Sprint Planning / Sprint Review / Retrospectives
Collaborative coding / code reviews
Mentoring and bleeding edge technology exposure and exploration
Process and infrastructure improvements
Regular connection with world-class data science team
Regular after-hours social opportunities (always optional)
Perks
Health, Vision, Dental, 401K, HSA employer matching
A startup culture tuned for success
Work at home flexibility
Well-stocked, vibrant office
Free parking
Unmetered paid time off
Mobile phone and gym membership stipend
Employee recognition, training and mentoring opportunities
Customers that you recognize and a sales team that regularly destroys Fortune 500 competitors