Senior Software Engineer

1 Month ago • 5 Years + • Software Development & Engineering

Job Summary

Job Description

SailPoint is seeking a Backend Software Engineer to build Python SDKs and Frameworks for its big data platform. The role involves designing, delivering, and maintaining robust Python-based SDKs and Frameworks, collaborating on designs and code reviews, and participating in team planning. Responsibilities include producing unit and end-to-end tests, contributing to training, giving product demos, and resolving customer queries. The engineer will be integral in building this SDK from scratch and will be part of a high-performing agile team.
Must have:
  • 5+ years of Python backend programming experience.
  • Good understanding of Web Services (REST), Micro-Services and SaaS Development
  • Experience designing solutions using cloud-native technologies from AWS
  • Experience using microservices in multi-tenant SaaS application.
  • Experience using RESTful APIs for an API-first application architecture.
Good to have:
  • Experience with AWS
  • Experience with Continuous Delivery
  • Experience working on a Big Data/Machine Learning product
  • Experience instrumenting code for gathering production performance metrics
Perks:
  • Medical insurance for employees and their dependents, accident insurance and term life insurance for all employees.
  • Company sponsored health-checkups for employees and discounted rates for dependents
  • Annual performance bonus
  • 24 Leaves every year in addition, 10 holidays
  • Flexible Work hours

Job Details

Want to be on a team that’s full of results-driven individuals who are constantly seeking to innovate? Want to make an impact? At SailPoint, our Developer Experience team does just that. Our engineering is where high-quality professional engineering meets individual impact. Our team creates products that help accelerate engineering products at scale.

SailPoint is seeking a Backend Software Engineer to help build our Python SDKs and Frameworks used for our big data platform.  We are looking for experienced well-rounded backend engineers who are passionate about building and delivering reliable, scalable code and infrastructure for SaaS products.

You will be integral in building this SDK from scratch and will be part of a high performing agile team. This is a unique opportunity to build something from the ground up that will have a huge impact to a large internal client base.

Responsibilities

  • Design and deliver efficient, performant and maintainable, robust Python based SDKs and Frameworks.

  • Produce designs and rough estimates, and implement features based on requirements.

  • Collaborate with peers on designs, code reviews, and testing.

  • Participate in team grooming and planning activities

  • Work with the team lead and manager to influence priority for technical items

  • Produce unit and end-to-end tests to improve code quality and maximize code coverage for new and existing features.

  • Responsible for code quality of delivered items by performing unit, integration and development testing

  • Contribute to training, onboarding of new resources.

  • Give Product demos to customers/internal stakeholders.

  • Contribute to resolving customer queries/escalations.

  • Creating new Environment as required.

Requirements

  • Minimum 5+ years of Experience server-side, backend programming in Python and associated frameworks

  • Good understanding of Web Services (REST), Micro-Services and SaaS Development

  • Experience designing solutions using cloud-native technologies from AWS

  • Experience using microservices in multi-tenant SaaS application.

  • Experience using RESTful APIs for an API-first application architecture.

  • Experience using SQL/NoSQL, EKS, Kafka, Redis

  • Experience with logging, monitoring, alerting, visualization tools like Kibana, Prometheus, Grafana

  • Experience with working with remote teams (US time zones)

  • Good to have automation experience handling automation frameworks, backend API and UI automation.

  • Good to have knowledge and testing experience with Amazon AWS (S3, Lambda, DynamoDB, CloudWatch etc).

  • Good to know the Docker and its deployment along with containers spin up, grid, scaling etc.

  • Should have strong analytical skills, attention to details and excellent troubleshooting/problem solving skills to address complex technical problems

  • Team player with strong communications skills, excellent organizational and planning skills, ability to work on multiple tasks concurrently.

  • Good to have experience working with JIRA for Agile Development, Defect Management and Test Case Management.

Preferred

  • Experience with AWS

  • Experience with Continuous Delivery

  • Experience working on a Big Data/Machine Learning product

  • Experience instrumenting code for gathering production performance metrics

What success looks like in the role
Within the first 30 days you will:

  • Onboard into your new role, get familiar with our product offering and technology, proactively meet peers and stakeholders, set up your development environment.

  • Seek to deeply understand the technology or common engineering challenges

  • Take on and deliver your first work tasks.

By 90 days:

  • Proactively implement different enhancements, defect fixes by interacting independently with different (sometimes many) stakeholders, architects and members of your team.

  • Take a committed approach to contributing to different projects development alongside less experienced engineers on your team—there’s no room for ivory towers here.

By 6 months:

  • Collaborates with Product Management and Engineering Manager to estimate and develop small to medium complexity features more independently.

  • Lead projects with small group of 3-4 members. Participate in resource planning, backlog refinement activity.

  • Occasionally serve as an analysis expert during escalations of systems issues that have evaded the ability of less experienced engineers to solve in a timely manner.

  • Share support of critical team systems by participating in calls with customers, learning the characteristics of currently running systems, and participating in improvements.

About SailPoint India and our Benefits:
Nestled in the heart of Pune, a bustling hub of technology and culture, the office exemplifies SailPoint's commitment to excellence. Surrounded by a vibrant atmosphere, the Pune office serves as a strategic center for the company, where cutting-edge solutions are crafted and implemented to address the ever-evolving challenges in identity security. With a team of highly skilled professionals, the office embodies SailPoint's values of Integrity, Innovation, Impact and Individuals.Our Pune team works under a hybrid model enjoying the office 3 days a week (unless otherwise specified). We provide excellent office amenities, competitive salaries and strong benefits:

  • Our benefits program offers medical insurance for employees and their dependents, accident insurance and term life insurance for all employees. All premiums are paid by SailPoint.

  • Company sponsored health-checkups for employees and discounted rates for dependents

  • Annual performance bonus

  • 24 Leaves every year in addition, 10 holidays

  • Flexible Work hours

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.  

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability.  Contact hr@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.

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About The Company

SailPoint is a leading provider of identity security for the modern enterprise. Enterprise security starts and ends with identities and their access, yet the ability to manage and secure identities today has moved well beyond human capacity. Using a foundation of artificial intelligence and machine learning, the SailPoint Identity Security Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and environmental needs of today’s cloud-oriented enterprise.

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