SRE Engineer

Mphasis; Georgia; On-site; USD 150,000 - 190,000; Full time

Job summary

Mphasis is seeking a Software Development Lead focused on Agentic AI and SRE to support production-scale distributed applications. The role emphasizes infrastructure as code using AWS, observability, and delivering high-quality software in a dynamic environment.

You will oversee design and development of Agentic AI apps, implement SRE practices, use CloudFormation or AWS SDK for IaC, monitor with Dynatrace, CloudWatch and Prometheus, and mentor the team to drive continuous improvement.

Qualifications

• Proven ability to lead software development projects and teams.
• Bachelor's degree in Computer Science, Engineering, or related field.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a fast-paced, collaborative environment.

Responsibilities

• Lead design and development of Agentic AI applications aligned with business and technical goals.
• Implement and maintain SRE practices to improve reliability and performance.
• Use AWS CloudFormation and AWS SDK to manage infrastructure as code.
• Monitor performance with Dynatrace, CloudWatch, and Prometheus.
• Collaborate with cross-functional teams to define scope and deliverables.
• Provide mentorship and guide team members toward continuous improvement.
• Resolve technical challenges to ensure timely delivery.
• Stay updated with AI, cloud, and SRE best practices.

Skills

Agentic AI

AWS infrastructure

SRE practices

IaC CloudFormation/AWS SDK

Observability tools

Education

Bachelor's degree in CS/Engineering

Tools

Dynatrace

CloudWatch

Prometheus

Kubernetes

Docker

Job description

Job Summary: We are seeking a highly skilled Software Development Lead with a strong focus on Agentic AI development and Site Reliability Engineering (SRE) practices. The ideal candidate will have a proven track record in supporting production-scale distributed applications and implementing infrastructure as code using AWS technologies. This role requires a deep understanding of observability tools and a commitment to delivering high-quality software solutions in a dynamic environment.

Responsibilities

• Lead the design and development of Agentic AI applications, ensuring alignment with business objectives and technical requirements.
• Implement and maintain SRE practices to enhance system reliability, availability, and performance.
• Utilize AWS services and tools, including CloudFormation and AWS SDK, to manage infrastructure as code.
• Monitor application performance and reliability using observability tools such as Dynatrace, CloudWatch, and Prometheus.
• Collaborate with cross-functional teams to define project scope, objectives, and deliverables.
• Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement.
• Identify and resolve technical challenges, ensuring timely delivery of high-quality software solutions.
• Stay updated with industry trends and best practices in AI development, cloud computing, and SRE.

Mandatory Skills

• Proven expertise in Agentic AI development.
• Strong knowledge of AWS services and infrastructure management.
• Experience with SRE practices and methodologies.
• Proficiency in infrastructure as code using CloudFormation or AWS SDK.
• Hands-on experience with observability tools such as Dynatrace, CloudWatch, and Prometheus.

Preferred Skills

• Professional level certification in Agentic AI development.
• AWS certification (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer).
• Familiarity with container orchestration technologies (e.g., Kubernetes, Docker).
• Experience with CI/CD pipelines and DevOps practices.
• Strong analytical and problem-solving skills.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Demonstrated ability to lead software development projects and teams.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a fast-paced, collaborative environment.

About Mphasis

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach. Front2Back uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis Service Transformation approach helps 'shrink the core' through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Equal Opportunity Employer

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.