Role Summary:

The Engineering Manager owns technical outcomes and delivery for backend engineering teams building and operating enterprise applications at Tenerity India. Quality is primary engineering ownership—not a handoff to a separate QA organization: you define quality bars, testing strategy, automation, and release readiness criteria with your teams and hold engineering accountable for outcomes in production. You translate business and product priorities into executable engineering plans, align execution with security and compliance expectations, and partner closely with Product Management and Security so releases are predictable, observable, and defensible.

You are accountable for architecture coherence, operational posture, and raising the bar for engineering excellence while growing Associate Architects, Architects, and senior individual contributors. You will operate at the intersection of hands-on engineering, multi-team leadership, and cross-functional alignment: clarifying tradeoffs, de-risking complex initiatives, and ensuring security and compliance expectations are reflected in how we design, build, test, and ship software. We expect a leader who remains technically engaged—contributing to architecture reviews, code reviews, and technical decisions—while managing multiple teams, applications, and concurrent projects. Domain Expertise:

Payment & Subscription Billing We are looking for a leader with deep expertise in the Payment and Subscription Billing domain. This role requires hands-on experience building, scaling, and operating billing systems that handle recurring revenue, complex pricing models, and payment processing at scale.

Required Domain Experience

- Subscription Lifecycle Management: Design and implement end-to-end subscription workflows including sign-up, trial periods, upgrades/downgrades, renewals, cancellations, and reactivations.
- Recurring Billing Systems: Build and operate systems handling automated recurring charges, prorated billing, usage-based billing, and metered pricing models
- Payment Gateway Integration: Hands-on experience integrating with payment processors (Stripe, Braintree, Adyen, PayPal, or similar) including tokenization, PCI compliance, and multi-currency support
- Dunning & Revenue Recovery: Implement intelligent retry logic, dunning workflows, and churn prevention mechanisms for failed payments Page 1 of 6

Domain-Specific Technical Knowledge

- PCI-DSS Compliance: Understanding of PCI requirements for handling cardholder data
- Payment Security: Tokenization strategies, 3D Secure (3DS2) implementation, fraud detection, and chargeback management

Key Responsibilities: People Management & Team Development

- Manage multiple engineering teams and applications while understanding individual team members' aspirations, skill sets, and career goals
- Leverage diverse backgrounds and abilities to align with business vision and organizational success
- Develop effective communication, leadership, and mentoring skills to drive team performance
- Conduct monthly 1:1s with direct reportees and document feedback as necessary
- Build high-performing engineering teams through strategic hiring, retention, and development
- Ensure compliance with internal and mandatory training requirements across teams

Multi-Team & Project Leadership

- Lead multiple engineering teams and concurrent initiatives; prioritize and remove systemic blockers so delivery stays predictable without constant executive intervention
- Coordinate across different teams and manage multiple concurrent projects simultaneously
- Take accountability for various applications, strategic decisions, and innovation initiatives within assigned domain
- Own delivery practices: planning rhythms, execution hygiene, quality gates, and predictability across teams
- Improve estimation, dependency management, and cross-team coordination

Architecture & Technical Direction

- Own and communicate system architecture across teams (diagrams, ADRs, standards)
- Lead architecture and design reviews; maintain living documentation and technical standards
- Guide teams on microservices architecture, service boundaries, and domain-driven design principles
- Design scalable, resilient, and maintainable systems serving multiple clients across multiple countries
- Identify technical debt, quantify risk and cost, align prioritization with Product and business, and drive mitigation plans with measurable progress
- Mentor Associate Backend Architects and Backend Architects on architecture patterns and design decisions





Technology Stack Expertise

- Backend Development: Guide teams on Java (Spring Boot, Spring Framework) and Python (FastAPI, Django, Flask) development
- Database Architecture: Oversee PostgreSQL and MySQL implementations including data modeling, query optimization, scaling strategies (read replicas, sharding, partitioning)

API Design: Establish API design standards, governance, and versioning strategies; ensure OAuth 2.0 authentication and authorization implementations

- Batch Processing: Design and oversee batch processing architectures using Spring Batch, Apache Airflow, or AWS Batch for large-scale data operations

Cloud & AWS Architecture

- Design and guide cloud-native architectures leveraging AWS services:
- Compute: EC2, ECS/EKS, Lambda, Fargate for serverless and containerized workloads
- Databases: RDS (PostgreSQL, MySQL), Aurora, DynamoDB, ElastiCache
- Storage: S3, EBS, EFS for various storage needs
- Networking: VPC design, CloudFront, API Gateway, ALB/NLB
- Messaging: SQS, SNS, EventBridge, Kinesis for event-driven architectures
- Monitoring: CloudWatch, X-Ray for distributed tracing, CloudTrail for auditing
- Security: IAM policies, Secrets Manager, KMS, WAF
- Optimize cloud costs through right-sizing, reserved instances, and resource optimization
- Establish infrastructure as code practices using Terraform or AWS CDK
- Design CI/CD pipelines for cloud-native deployments (GitHub Actions, Jenkins, GitLab CI, AWS CodePipeline)

Engineering-Owned Quality

- Own end-to-end quality for the domain—test strategy across phases (unit, integration, contract, E2E where appropriate)
- Drive shift-left practices, meaningful automation, flaky-test hygiene, and clear "definition of done" for release readiness
- Establish comprehensive testing strategies using JUnit (Java), pytest (Python), and TestContainers
- Maintain high standards using code quality tools (SonarQube, Checkstyle, pylint)
- Drive systematic defect reduction and post-release quality metrics without depending on a separate QA department as the primary owner Page 3 of 6

Deployment & Release Engineering

- Partner with teams on safe rollout patterns, observability, rollback posture, and progressive delivery
- Implement deployment strategies (Blue/Green, Canary) and educate teams on best practices
- Ensure practices are understood and followed in production systems
- Lead or support major incidents with strong troubleshooting and analytical discipline
- Drive root-cause analysis and durable remediation

Security & Compliance

- Ensure compliance with regulatory requirements:
- GDPR (General Data Protection Regulation) for European users
- CCPA (California Consumer Privacy Act) for California residents
- SOC 2 compliance for security, availability, and confidentiality
- Champion secure SDLC practices (threat modeling, patching, secrets management, IAM patterns)
- Design security architecture, practices, and governance
- Implement risk mitigation strategies across managed applications and teams

AI-Native Engineering Practices

- Lead AI adoption strategy for engineering: tooling, training, governance, and metrics tied to delivery and quality outcomes
- Drive adoption of AI coding assistants (Cursor IDE, Amazon Q) across backend engineering teams
- Establish best practices and guidelines for AI-assisted development
- Design workflows integrating AI tools into the development lifecycle
- Establish AI-native engineering practices (review, testing, security, observability) so AI assisted work meets the same production bar as traditional development
- Drive safe use of agentic workflows (orchestrated agents/tools) with clear guardrails, approvals, and operational controls
- Champion an AI-first approach to problem solving: faster exploration and iteration grounded in verification, cost awareness, and responsible use of data and models
- Measure and optimize team productivity improvements from AI tools
- Partner with platform, security, and legal to align vendor/model choices, data handling, and compliance with organizational risk appetite

Required Qualifications





- 10-15+ years of professional experience building and operating software with contemporary technology stacks, spanning Java (Spring Boot, Spring Framework) and/or Python (FastAPI, Django, Flask)
- 5+ years in engineering leadership roles with minimum 3-4 years as an Engineering Manager (or equivalent scope: direct people management, performance management, hiring, and delivery accountability for multiple teams)
- 3+ years of experience in payment systems or subscription billing domain (preferred)
- Demonstrated recent hands-on technical engagement with documented experience leading architecture decisions and technical reviews at scale (ADRs, design reviews, standards bodies)
- Expert-level understanding of distributed systems design patterns and microservices architecture in production environments
- Strong systems design and architecture skills; able to own technical direction for complex, business-critical domains serving multiple clients across multiple countries
- Deep expertise in relational databases (PostgreSQL, MySQL) including data modeling, query optimization, scaling strategies, and migration patterns
- Hands-on AWS experience in production systems, including serverless workloads (Lambda), containerized workloads (ECS/EKS), and other AWS services for reliability, security, and scale
- Experience with OAuth 2.0 authentication/authorization implementations and security architecture
- Proven ability to troubleshoot complex production issues, perform root-cause analysis, and drive fixes that reduce recurrence
- Solid grasp of secure SDLC, vulnerability management, and practical application of security standards and regulatory/compliance expectations (GDPR, CCPA, SOC 2, PCI DSS)
- Experience partnering with Product Management and Security on delivery and risk, with a track record of engineering-led quality ownership
- Excellent written and verbal communication; able to align executives, peers, and engineers on technical decisions and tradeoffs
- Prior success rolling out AI-assisted development workflows with governance, training, and measurable productivity or quality outcomes
- Experience operating without a dedicated QA organization as the primary quality owner— or successfully transitioning teams to engineering-owned quality

Leadership & Organizational Competencies

- Multi-team leadership: Coordinates across teams, resolves cross-team dependencies, and maintains coherent technical direction when priorities compete
- Technical credibility: Remains technically engaged—moves fluently between architecture discussions, code reviews, and org-level technical direction without defaulting to "hands off management only"
- Mentoring and upskilling: Grows technical depth on the team; mentors Associate Architects and Architects; sponsors stretch assignments; reinforces learning and mandatory training expectations
- Stakeholder management: Builds trust with Product, Security, Compliance, and business partners; communicates risks early and proposes actionable mitigations
- Accountability: Owns outcomes for applications under scope—including reliability, security posture, and delivery commitments—with minimal need for executive escalation
- Quality as engineering discipline: Ownership of testing, observability, and release readiness in teams; does not treat quality as an external gate owned primarily by another department
- Prioritization under constraint: Balances technical debt, new capabilities, and operational load with clear rationale tied to business outcomes
- Process at scale: Introduces and evolves lightweight, repeatable practices that raise engineering excellence without unnecessary bureaucracy
- Inclusive leadership: Fosters psychological safety, equitable feedback, and high standards; builds diverse, high-performing teams
- Innovation with judgment: Encourages experimentation where risk is bounded and learning is fast; drives OPEX optimization and operational efficiency; creates reusable systems for organizational benefit

Career Path Context This role represents a significant career achievement requiring mastery of both technical expertise and people management skills. The Engineering Manager:

- Shifts from service-focused to team-focused approach, emphasizing capability delivery and business value
- Delivers highly complex projects independently with minimal executive oversight
- Creates scalable processes and systems that benefit the broader organization
- Establishes engineering excellence standards and best practices across multiple teams
- Represents the natural progression for Technical Leads demonstrating strong people leadership alongside technical depth

📌 Engineering Manager (Maharashtra)
🏢 Tenerity India
📍 Maharashtra