
Real job — pulled straight from Weekday AI’s careers page · Verified August 12, 2026 · No reposts.
Job description
Weekday AI is hiring a Engineering Manager — a full-time, based in Pune, Maharashtra role. Apply directly on Weekday AI's careers page below.
Engineering Manager
Location: Pune, Maharashtra, India
Department: Weekday's Client via platform
Workplace: on_site
Employment Type: full
Description
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟲𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟲𝟱 𝗟𝗣𝗔)
Experience: 8+ yrs
Location: Pune, Maharashtra, India
Job Type: Full-time
We are looking for an experienced Engineering Manager to lead and develop a high-performing software engineering team while driving technical excellence, product delivery, and engineering productivity. This role combines people management with strong technical leadership and offers the opportunity to influence architecture, engineering practices, and product strategy.
The ideal candidate will have a strong software development background, proven experience managing engineering teams, and hands-on expertise in building scalable, distributed, and cloud-native applications. You will work closely with Product, Design, QA, and other stakeholders to deliver reliable, high-quality software solutions.
Requirements
KEY RESPONSIBILITIES
- Lead and mentor a team of 5–10 software engineers across one or more product areas.
- Own end-to-end delivery of large-scale, high-impact software projects.
- Collaborate with Product Managers, Designers, QA, and other stakeholders to define and execute product roadmaps.
- Provide technical direction through architecture discussions, design reviews, and engineering best practices.
- Participate in hands-on coding and technical problem-solving when required.
- Ensure timely delivery of scalable, reliable, secure, and high-quality software systems.
- Conduct regular 1:1s, establish goals, provide performance feedback, and support team members' career development.
- Drive engineering excellence through code reviews, design discussions, automation, and development standards.
- Participate in architectural decisions and guide teams on technical direction.
- Identify and resolve system performance, scalability, and reliability issues.
- Drive effective SDLC, Agile/Scrum, CI/CD, and DevOps practices.
- Contribute to hiring, onboarding, team structuring, and engineering capacity planning.
- Promote the use of modern engineering and GenAI tools to improve development productivity.
- Work with leadership to identify technical risks, opportunities, and long-term engineering priorities.
WHAT MAKES YOU A GREAT FIT
- 8+ years of software development experience, including at least 2+ years in engineering management or technical leadership.
- Strong hands-on experience with Java, Spring Boot, REST APIs, and modern backend technologies.
- Proven experience designing distributed systems, microservices, and cloud-native applications, particularly on AWS.
- Strong understanding of SaaS architecture, scalability, performance, reliability, and system design.
- Good knowledge of SQL and NoSQL databases.
- Strong understanding of SDLC, Agile/Scrum, CI/CD pipelines, and DevOps principles.
- Proven ability to build, mentor, and scale high-performing engineering teams.
- Excellent communication, collaboration, stakeholder-management, and decision-making skills.
- Experience working in fast-paced product, startup, or high-growth environments.
- Exposure to frontend frameworks such as React is an advantage.
- Familiarity with Databricks, AWS SageMaker, Azure Fabric, Kafka, Spark, MongoDB, Elasticsearch, EMR, AWS Athena, and AWS Glue is a plus.
- Experience using GenAI development tools such as Cursor, Codex, Claude Code, or similar platforms is highly desirable.
- Prior experience scaling engineering teams from startup to mid-sized organizations is preferred.
- Experience in Healthcare, FinTech, or SaaS domains is an advantage.
- Knowledge of security and compliance frameworks such as HITRUST, SOC 2, and GDPR is a plus.
- Bachelor's degree in IT, Computer Science, Engineering, or an equivalent discipline.
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Frequently asked questions
What skills are required for Engineering Manager at Weekday AI?
The required skills for Engineering Manager at Weekday AI include: Java, Spring Boot, REST, Microservices, AWS, SQL, NoSQL, Agile, Scrum, CI/CD, DevOps, React, Databricks, Kafka, Spark, MongoDB, Elasticsearch, EMR, SOC 2, GDPR.
What is the seniority level for Engineering Manager at Weekday AI?
Engineering Manager at Weekday AI is a Manager / Senior level position.
How do I apply for Engineering Manager at Weekday AI?
You can view the full description and apply for Engineering Manager at Weekday AI on EchoJobs: https://echojobs.io/job/weekday-ai-engineering-manager-1wboc.