Engineering Manager owning delivery governance across multiple agile engineering pods building an enterprise SaaS platform for data privacy, data governance and AI governance. Manages sprint/release planning, staffing and team health, engineering metrics, risk and stakeholder reporting, backed by technical knowledge of Java/Spring Boot, Python, Angular and AWS/Azure.
Compensation
Not disclosed
Location
Hyderabad, India
Work setup
Not specified
Seniority
Not specified
Employment
Full time
Experience
3+ years
Category
Software engineering
Posted
Skills
accessibility
agentic-ai
agile
ai
analytics
angular
automation
aws
azure
ci-cd
cloud
confluence
data-analytics
data-governance
devops
gdpr
generative-ai
java
jira
llm
machine-learning
microservices
performance-management
powerbi
python
rpa
saas
scrum
sdlc
soc-2
spring
stakeholder-management
test-automation
Must have
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience
8+ years of software engineering experience
At least 3 years as an Engineering Manager or Delivery Manager
Proven experience managing multiple agile teams (20+ engineers) on enterprise software or SaaS engagements
Technical background in Java, Python or full-stack development, able to engage in architecture and design discussions
Strong expertise in Agile/Scrum delivery at scale, including multi-team planning, dependency management and release governance
Experience with staffing, resource planning, onboarding and people management
Hands-on experience defining and reporting engineering KPIs and delivery metrics
Working knowledge of Java/Spring Boot, Python, Angular, microservices and AWS/Azure cloud
Understanding of CI/CD, DevOps, test automation and quality engineering practices
Experience with Jira, Confluence and delivery reporting tools such as Excel or Power BI
Familiarity with Time & Material engagements, timesheets and invoicing processes
Excellent stakeholder management, communication and escalation-handling skills
Nice to have
Experience delivering AI/ML, GenAI or data platform programs
Domain exposure to data privacy, governance, security or compliance products
Certifications such as PMP, CSM, SAFe or PMI-ACP
Full description
Engineering Manager
AI governance eng - Staff Aug Project
**About KanerikaWho we are:**
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
**Awards and Recognitions**
Kanerika has won several awards over the years, including:
CMMI Level 3 Appraised in 2024.
Best Place to Work 2022 & 2023 by Great Place
to Work®.
Top 10 Most Recommended RPA Start-Ups in 2022 by
RPA Today.
NASSCOM Emerge 50 Award in 2014.
Frost & Sullivan India 2021 Technology
Innovation Award for its Kompass composable solution architecture.
Recognized for ISO 27701, 27001, SOC2, and GDPR
compliances.
Featured as Top Data Analytics Services Provider
by GoodFirms.
**Working for us**
Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a
vibrant and diverse community where your talents are recognized, your growth is
nurtured, and your contributions make a real impact. See the benefits section
below for the perks you’ll get while working for Kanerika.
Locations
We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).
**Job Location: Hyderabad, Indore and Ahmedabad.Role:**
As an Engineering Manager, you will provide delivery governance across multiple engineering pods building an enterprise-grade SaaS platform in the data privacy, data governance and AI governance space. You will own delivery outcomes, team health, staffing and continuity, and act as the main point of contact for client and Kanerika leadership on delivery, risk and reporting. The role needs strong technical credibility combined with people management and engineering operations discipline.
**Key Responsibilities:**
· Own delivery governance across multiple pods: sprint commitments, release plans, milestones and quality outcomes.
· Manage staffing, onboarding, knowledge transfer, continuity planning and timely replacements so teams stay fully productive.
· Track and manage risks, dependencies and issues across pods, and drive escalations to closure with client and internal stakeholders.
· Define, track and report engineering metrics (velocity, predictability, defect leakage, cycle time, test coverage) and drive improvement actions.
· Prepare regular status reports and steering-committee updates for client and Kanerika leadership.
· Support timesheet management, effort tracking and invoicing reconciliation.
· Partner with Tech Leads and the AI Architect on technical direction, capacity planning and engineering best practices.
· Coach and mentor Tech Leads and engineers, and drive performance management, career growth and team engagement.
· Ensure adherence to SDLC, security, compliance, CI/CD and definition-of-done standards across pods.
**What You’ll Bring:**
· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
· 8+ years of software engineering experience, including at least 3 years as an Engineering Manager or Delivery Manager.
· Proven experience managing multiple agile teams (20+ engineers) on enterprise software or SaaS engagements.
· Technical background in Java, Python or full-stack development, enough to engage credibly in architecture and design discussions.
**Mandatory Skills:**
· Strong expertise in Agile/Scrum delivery at scale, including multi-team planning, dependency management and release governance.
· Experience with staffing, resource planning, onboarding and people management.
· Hands-on experience defining and reporting engineering KPIs and delivery metrics.
· Working knowledge of Java/Spring Boot, Python, Angular, microservices and AWS/Azure cloud.
· Understanding of CI/CD, DevOps, test automation and quality engineering practices.
· Experience with Jira, Confluence and delivery reporting tools such as Excel or Power BI.
· Familiarity with Time & Material engagements, timesheets and invoicing processes.
· Excellent stakeholder management, communication and escalation-handling skills.
**Good to Have:**
· Experience delivering AI/ML, GenAI or data platform programs.
· Domain exposure to data privacy, governance, security or compliance products.
· Certifications such as PMP, CSM, SAFe or PMI-ACP.
**Why join us?**
· Build enterprise-grade products in data privacy and AI governance that are used by organizations worldwide.
· Work hands-on with modern technologies across GenAI, agentic AI, cloud (AWS and Azure) and full-stack engineering.
· Learn from experienced architects and engineering leaders through mentorship, design reviews and knowledge-sharing sessions.
· Grow your career with twice-yearly appraisals, certification support and a promote-from-within culture.
· Competitive compensation and comprehensive benefits as a full-time Kanerika employee.
· Be part of an award-winning, CMMI Level 3 appraised data and AI company.
Employee Benefits:
1. Culture:
i. Open Door Policy: Encourages open communication and accessibility to management.
ii. Open Office Floor Plan: Fosters a collaborative and interactive work environment.
iii. Flexible Working Hours: Allows employees to have flexibility in their work schedules.
iv. Employee Referral Bonus: Rewards employees for referring qualified candidates.
v. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
i. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
ii. Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
i. GMC and Term Insurance: Offers medical coverage and financial protection.
ii. Health Insurance: Provides coverage for medical expenses.
iii. Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
i. Company-sponsored family events: Creates opportunities for employees and their families to bond.
ii. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
iii. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
5. Perks and Time-Off Benefits:
i. Company-sponsored outings: Organizes recreational activities for employees.
ii. Gratuity: Provides a monetary benefit as a token of appreciation.
iii. Provident Fund: Helps employees save for retirement.
iv. Generous PTO: Offers more than the industry standard for paid time off.
v. Paid sick days: Allows employees to take paid time off when they are unwell.
vi. Paid holidays: Gives employees paid time off for designated holidays.
vii. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
6. Professional Development Benefits:
i. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
ii. Mentorship Program: Offers guidance and support from experienced professionals.
iii. Job Training: Provides training to enhance job-related skills.
iv. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
v. Promote from Within: Encourages internal growth and advancement opportunities.