Job Description: Software Engineering Manager at Anchanto India
Location: Pune, India
Experience: 12 to 20 years (5+ years in People Management / Engineering Leadership)
Industry: Enterprise B2B SaaS / Global Commerce / Supply Chain Technology
Seniority: Mid to Senior
About the Role
Anchanto is a global B2B SaaS company powering commerce for brands, retailers, logistics companies and enterprises. We are seeking an Engineering Manager to lead our Order Experience Management (OXM) platform Engineering. This role requires a blend of Node.js, Java and AWS expertise, AI-led engineering practices, and a sharp focus on system reliability, security, and cost.
Anchanto OXM is a mission-critical e-commerce operations platform, not a peripheral or support system. Our customers rely on it to realize 100% of their revenue on a daily basis. The platform is used by 300+ customers brands, retailers, and logistics providers, processes 150M+ orders annually, and serves thousands of users across operations teams in 12 countries including France, UK, Singapore, Malaysia and UAE. Core functionality includes order orchestration, inventory visibility, marketplace and D2C integrations, fulfilment workflows, and real-time operational insights.
What Will Your Day Look Like?
- Drive AI-led engineering execution: Identify opportunities to accelerate coding, testing, and debugging using tools like Claude Code, Copilot, and Cursor; set adoption targets and measure impact on productivity.
- Evolve event-driven, distributed system architectures: Ensure scalability, fault tolerance, and multi-tenant isolation across AWS (SQS, SNS, Event Bridge, Lambda, ECS/EKS, Aurora, DynamoDB, Redis).
- Balance feature delivery, system performance, security, and compute and storage related hyper-scaler costs.
- Monitor SLOs, latency, and system health; lead incident response and Root Cause Analysis to eliminate recurring issues.
- Grow people: Mentor engineers and tech leads, run 1:1s, drive performance reviews, build career ladders, and retain top talent. You will conduct technical interviews, calibrate levelling, and build a strong engineering bench.
- Partner across business units and countries: Work with Product, Customer Success, and Leadership to translate requirements into scalable systems and measurable outcomes for customers and partners across ecosystem.
- Raise the bar on engineering productivity, DORA metrics, and team execution discipline.
- On day-to-day technical execution, while owning overall engineering outcomes.
- Strong hands-on experience: In Node.js backend systems at scale, with a solid grasp of asynchronous processing and high-throughput architectures.
- Experience building: Distributed, event-driven systems on AWS, ECS/EKS, Lambda, SQS/SNS, Event Bridge, Aurora/PostgreSQL, S3, API Gateway, Redis/Elastic-Cache, CloudWatch.
- System design depth: Scale multi-tenant architecture, idempotency, retries, backpressure, and failure handling.
- Track record: Designing and operating systems with high availability (99.9%+) and low latency (sub-200ms P95).
- Observability and reliability engineering: Metrics, logs, traces (Open Telemetry/Datadog), SLO/SLI, incident management, on-call discipline.
- CI/CD and Infrastructure-as-Code: GitHub Actions / CodePipeline, Terraform or AWS CDK.
- Testing discipline: J-unit tests, integration, contract, and load testing as part of the engineering bar.
- Proven track record: Improving engineering productivity, DORA metrics, and execution discipline.
- This role sets the tempo for how Anchanto builds. You will define what "good" looks like in an AI-native engineering org, set the standards the team operates by, and make Anchanto one of the fastest-building engineering teams in enterprise SaaS.
- You will make Claude Code, Cursor, and Copilot the default toolkit across the SDLC, drive adoption, set productivity expectations, and track measurable gains in cycle time, throughput, and code quality.
- You will move the team from ticket-driven to spec-driven work, so AI produces the first draft of code, tests, and docs. Engineers, tech leads, and architects then focus on what compounds value: system design, scalability, security, and technical judgment.
- Every hour AI gives back will flow into new functionality, incremental innovation, and faster time-to-market, translating productivity gains directly into shipped capabilities that widen Anchanto's lead with enterprise customers.
- You will ship AI-powered capabilities inside OXM, including intelligent order routing, anomaly detection, demand forecasting, conversational operations, and agentic workflows, at the reliability, security, and cost standards our enterprise customers require.
- Experience operating enterprise systems under SOC 2 / ISO 27001 controls, with awareness of GDPR, PII handling, and regional data residency (critical for 12-country operations).
- Familiarity with secure SDLC practices threat modelling, SAST/DAST, dependency and secret scanning, OWASP Top 10.
- Reliability: 99.9% uptime for owned services.
- Performance: < 200ms P95 latency for critical APIs.
- Predictability: 85–90% release predictability (planned vs actual).
- Quality: reduction in P1/P2 incidents and MTTR; improving DORA metrics quarter over quarter.
- Scale: systems scaling to high order volumes across multiple regions without cost blowouts.
- People: strong engagement, low regrettable attrition, and a visible growth path for engineers.
- Own delivery, quality, reliability, and cost of assigned product areas end-to-end.
- Build and manage teams of 10–20 engineers; drive hiring, onboarding, performance, and retention.
- Mentor engineers and tech leads; build career ladders and a strong internal bench.
- Maintain accountability and ownership within the team; make technical trade-off calls.
- Partner with Product, Customer Success, and senior stakeholders on roadmap execution.
- Outcome Ownership: owns delivery, quality, and production outcomes end-to-end; ensures results are achieved.
- High Accountability: takes responsibility for failures and drives closure with clear actions, owners, and timelines.
- Execution Discipline: maintains follow-through on commitments; tracks planned vs actual and corrects deviations early.
- Systems Thinking: considers scale, failure scenarios, dependencies, and impact on performance, reliability, and cost.
- Raising the Bar: sets high standards for code, design, and team performance; actively improves team capability.
