Senior Site Reliability Engineer

About InvarSys:

InvarSys is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.

Company Link: https://www.invarsys.com/

About the Role

As a Sr. SRE Engineer at InvarSys, you will play a key role in building, managing, and optimizing reliable cloud infrastructure and distributed software applications. You will focus on AWS, Kubernetes, Infrastructure as Code, automation, observability, and system performance, while improving the reliability, quality, and time-to-market of software solutions. You will also contribute to modern AI-native engineering practices, including LLMs, prompt engineering, harness engineering, and AIOps tools. The ideal candidate will have strong ownership, excellent communication skills, and a continuous improvement mindset.

Key Responsibilities:

• Building and setting up new development tools and infrastructure
• Working on ways to automate and improve development and release processes
• Management of existing cloud infrastructure
• Document and act as subject matter expert for practices and policies involving infrastructure
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
• Provide primary operational support and engineering for distributed software applications
• Continuously integrate production context back into the development lifecycle, ensuring the system learns from past incidents to prevent recurring issues

An ideal candidate has:

• 5+ years of experience with various AWS products, like S3, RDS, Elastic Containers, etc
• 5+ years of experience with Kubernetes or other orchestration products
• 3+ years of experience with Infrastructure as Code
• 3+ years of experience with using observability platforms and log management, like Datadog, Splunk, Rigor, etc
• 6 months+ of experience working with LLMs, prompt engineering, harness engineering, or AIOps tooling
• 6 months+ of SDLC AI native usage via Claude Code, Claude Cowork or similar
• Excellent communications skills, the ability to learn on the fly, and a desire for ownership

Why Join InvarSys?

• Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
• Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
• Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
• Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
• E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
• Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced,

innovative environment, we would love to hear from you!

InvarSys is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.