Software Engineer - ML Ops

at  SalesLoft

WHAT WE’RE LOOKING FOR:

We are seeking a high-performing individual contributor who can accomplish complex tasks with little direction, design and develop solutions for our team’s roadmap work, lead learning sessions, collaborate well across delivery teams, hold a clear understanding of the organization’s goals, and be a strong engineering resource to help deliver features with quality and on-time. You will participate in support channels, engineering-wide initiatives, provide technical support on key customer calls, and mentor and coach team members who seek opportunities to learn and grow.

On a day-to-day basis, you will be responsible for:

• Guiding planning and grooming sessions
• Documenting best practices and methodologies
• Reviewing team members’ and cross-team members’ code
• Ensuring quality across the software development lifecycle
• Holding the bar for system testability, observability, and maintainability
• Reviewing metrics, identifying issues, and improving performance of our applications
• Providing ongoing production support and contributing to incident reviews

If you’re passionate about sales technology, providing a world-class customer experience, and thrive in a fast-paced, hyper-growth startup environment, then becoming a Software Engineer is the career path for you!

THE SKILL SET:

• 3+ years of experience building mid to large scale web applications
• Depth of knowledge in Python - pluses for Pandas, Scikit-learn, PySpark or nginx
• Experience in an environment like AWS, GCP, Docker, Kubernetes and Kafka.
• Hands-on experience in designing, building, and deploying scalable, highly available systems
• Experience with giving and receiving feedback
• Passion for directly implementing code and debugging complex issues, and pairing with teammates to get work done
• Positive, empathetic, and team-oriented; must have the ability to collaborate well with all departments and teams

WHY SHOULD YOU WORK AT SALESLOFT:

• You will become part of an amazing culture with a supportive CEO and smart teammates who actually care
• You will work with an amazing team you can learn from and teach
• You will experience joining a high-growth/high-trajectory organization
• You will hear “Yes, let’s do that!” and then have the opportunity to successfully execute on your ideas
• You will build community with Lofters of many cultures and backgrounds through ERGs and DEI initiatives
• We have a vibrant, open office that utilizes modern technology
• We firmly believe you will have the opportunity to grow more here than you would anywhere else
  Salesloft is committed to creating a sense of belonging for all Lofters. We integrate representation and inclusion into Salesloft’s core by establishing and meeting specific, time-bound objectives for fair hiring and career growth. We prioritize actionable steps over terminology, and showcase how a genuinely diverse and inclusive culture enhances our financial success and overall performance.
  We are proud to be an Equal Opportunity Employer and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.
  Don’t meet every single requirement? Studies have shown that people from underrepresented groups are less likely to apply to jobs unless they meet every single qualification. At Salesloft we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
  Keep an eye on our Careers Page for other positions!

• Guiding planning and grooming sessions
• Documenting best practices and methodologies
• Reviewing team members’ and cross-team members’ code
• Ensuring quality across the software development lifecycle
• Holding the bar for system testability, observability, and maintainability
• Reviewing metrics, identifying issues, and improving performance of our applications
• Providing ongoing production support and contributing to incident review