Engineering Manager

Company Description:
Optimum Data Analytics is a strategic technology partner delivering reliable
turnkey AI solutions. Our streamlined approach to development ensures high-quality results and client satisfaction. We bring experience and clarity to organizations, powering every human decision with analytics & AI.
Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter.
We provide best-in-class services that increase profit for businesses and deliver improved value for customers, helping businesses grow, transform, and achieve their objectives.

Job Details:
Position: Engineering Manager
Experience: 10-14 years
Work Mode: Remote

Mandatory Skills and Experience:
• Core KPI
• Scrum Management / backlog grooming and prioritisation for Planning, Build
• Release Management - go to production faster via code progression path and release scope
handling ( both Major and Minor)
• Customer Support - handling the customer escalations within the SLA
• Application Architecture - Design review, code review, tools and tech mentorship

Key Responsibilities:
BAU Backlog Delivery Using Scrum
• Lead sprint planning, backlog grooming, and prioritization to ensure timely delivery of BAU
features and enhancements. o Collaborate with Product Managers to align backlog priorities with
business objectives. o Execute delivery with development and quality assurance teams, fostering
a high-performing Scrum environment.
• Monitor sprint metrics (e.g., velocity, burndown) to optimize team productivity and identify
bottlenecks. 

Release Planning for Code Progression to Production
• Oversee end-to-end release planning, ensuring code progression from development to production meets quality, security, and performance standards.
• Implement CI/CD pipelines and automated testing frameworks to streamline releases. o Ensure
compliance with security (e.g., OWASP guidelines) and performance (e.g., latency, scalability)
requirements.
• Coordinate with DevOps and QA teams to minimize downtime and rollback risks during
deployments.

Engineering Escalation for Customer Support
• Act as the primary point of escalation for engineering-related customer support issues, ensuring
resolution within defined SLAs. o Collaborate with the Customer Support team to triage and
prioritize critical issues impacting product stability.

• Implement root cause analysis (RCA) and preventive measures to reduce recurrence of customer issues.
• Track and report SLA adherence metrics to stakeholders.

Application Architecture and Design for BAU Backlog
• Own the technical architecture and design of BAU backlog items, ensuring scalability,
maintainability, and alignment with product goals.
• Review and approve technical designs proposed by the development team, ensuring adherence to best practices (e.g., microservices, REST APIs).
• Drive technical debt reduction and modernization initiatives to enhance long-term product
stability.
• Stay updated on industry trends to incorporate relevant technologies into the architecture.

Core KPIs:
• Productivity: Achieve consistent sprint velocity and on-time delivery of 90%+ of planned BAU
backlog items pushed to Production Release in time.
• Product Quality: Maintain a defect escape rate of <5% in production and ensure
• 99.9% uptime for the Fayredge Product.
• Product Stability: Reduce critical customer escalations by 20% quarter-overquarter through
proactive issue resolution and robust architecture.

Qualifications:
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience:10+ years of software engineering experience, with 3+ years in an engineering management role leading Agile/Scrum teams.

o Proven track record of delivering data-driven or SaaS products with a focus on quality and stability.
• Hands-on experience with release management, CI/CD pipelines, and cloud platforms (e.g., AWS, Azure).

o Familiarity with customer support escalation processes and SLA management.

oStrong background in application architecture, including microservices, APIs, and database
design.

• Technical Skills:
• Proficiency in programming languages (e.g., Python, Java, JavaScript) and frameworks relevant to the Fayredge Product. o Knowledge of security standards (e.g., OWASP, SOC2) and
performance optimization techniques.
• Experience with tools like Jira, Confluence, Jenkins, or equivalent for Agile and DevOps
processes.

Soft Skills:
• Exceptional leadership and communication skills to align cross-functional teams (e.g., Product,
QA, DevOps).
• Strong problem-solving and decision-making abilities under tight deadlines. o Ability to mentor
engineers and foster a culture of innovation and accountability.

Preferred Qualifications:
• Experience with Startup building AI, Data-driven products.
• Familiarity with modern DevOps practices (e.g., Docker, Kubernetes, Terraform).
• Prior exposure to customer-facing SaaS products with high availability requirements.

Note: Candidate should be open and interested in working with a Start-up Company.