Engineering Manager Job in Sirionlabs
Engineering Manager
- Gurgaon, Haryana
- Not Disclosed
- Full-time
- Permanent
Description
About SirionLabs:
SirionLabs - SaaS Product firm | is looking for people who are driven to make a difference. Bringing together leading innovation, unrivaled Contract Lifecycle Management expertise, and a deep commitment to customer success, SirionLabs helps the world s leading businesses contract smarter.
Powered by intelligence uniquely connected across the complete contract lifecycle. SirionLabs easy-to-use, highly configurable Smarter Contracting Platform brings legal, procurement, and business teams together to author stronger agreements, manage risk and strengthen counterparty relationships.
Today, analyst firms such as Forrester, Spend Matters and IDC agrees that SirionLabs is a leader in CLM whilst world-leading businesses including Vodafone, Unilever, DHL, and Morgan Stanley trust SirionLabs to create, control, and manage over 5m contracts worth more than $300bn, in 100+ countries around the world. SirionLabs is backed by leading VC firms and has gone through a Series C round. SirionLabs is a 550+ people company with 7 offices globally.
Job Role: Engineering Manager
Years of Experience required: 15 -18 Years
Work Location: Gurgaon
Responsibilities:
- Engineering Manager who can lead multiple development teams in frequently shipping high quality software, and drive several Engineering initiatives to fruition. Join us in our transformational journey as we innovate and add exciting new features to our product.
Requirements:
- Strong CS fundamentals in OOD, DS, Algorithms and Problem Solving for a wide variety of problem spaces and technologies.
- Expert coder in any modern language such as Java, Golang or Scala.
- Experience in working with Product and Engineering leaders to drive and implement platform and product vision.
- Ability to leverage deep and wide knowledge of technology stack to recommend appropriate architecture and design solutions, and provide technical leadership to a team of rock star Software Engineers.
- Can translate the impact of design choices on non-functional attributes like scalability, performance, availability and security.
- Experience in providing leadership, career guidance, performance management, prioritization and personnel management for minimum team size of 10.
- Experience creating large-scale, multi-tiered, distributed web applications with databases, and designing web services, APIs, data models and schemas, using SQL or NoSQL.
- Experience with Cloud environments, such as AWS.
- Comfortable in Windows and Linux environments.
- Comfortable with different data storage solutions such as Postgres, Oracle, SQL Server, ElasticSearch, SQL, Hadoop, or MongoDB.
- Experience delivering high quality software following continuous delivery and using code quality tools (JIRA, GitHub, Jenkin, Hudson, Sonar, PMD, Checkstyle, Findbugs, and Fortify etc.).
- Worked in Agile environments previously.
- Good command of development metrics, methodologies and tools.
- Will ensure timely and frequent delivery of high quality software, while adapting technical decisions to the immediate needs of the business.
- Good analytical, problem-solving and troubleshooting skills.
- Can drive adoption of best practices across the Software Engineering Lifecycle, including reviews, source control, build processes, continuous integration and deployment.
- Can develop and maintain cross-functional relationships and alignment.
- Cares about software getting shipped frequently.
- Deeply values software quality.
- Takes pride in adding value to organizational goals.
- Believes in team work.
- Communicates well.
- Flexible, nimble and motivated about working in a fast-paced startup
Good-to-have skills for this role:
- Experience with Docker, CloudFoundry, NGINX, or 12 factor app.
- Experience with service discovery solutions, including Consul.
- Knows modern web development technologies including JavaScript, AJAX, HTML5, CSS, Responsive Design, etc.
- Comfortable with Python and other scripting languages.
- Knowledge of Machine Learning.
- Knowledge of Big Data technologies.
- Implemented complex third party integrations.
15 to 18 Years
2 - 4 Hires