Visakhapatnam, Andhra Pradesh
Work Type: Full Time
The Role
We're looking for someone who sees Scrum as a stepping stone, not a destination. Your job is to help teams discover faster ways of working--using data to illuminate what's actually happening, coaching with a light touch so teams own their improvements, and gradually evolving from sprint-based delivery toward continuous flow as the team matures.
This isn't a traditional Scrum Master role. We need someone fluent in Lean principles--cycle time, WIP limits, batch size reduction, flow efficiency--who can establish baseline practices with distributed teams and then systematically help them get faster. You'll use Scrum ceremonies as initial scaffolding, but your north star is reducing time-to-value, not perfecting sprint rituals.
The right person is equally comfortable setting up a kanban board, running a data-driven retrospective, and explaining to a skeptical developer why limiting work-in-progress actually makes them faster. You'll work in an FDA-regulated IVD software environment where 'faster and safer' aren't in tension--better flow practices produce both.
What You'll Actually Do
Make Flow Visible
Establish and maintain metrics that reveal how work actually moves through the team--cycle time, lead time, throughput, WIP, flow efficiency
Build dashboards that teams check daily, not reports leadership reviews monthly
Help teams see their own patterns: where work stalls, what causes variability, which practices correlate with faster delivery
Track DORA metrics and help the team understand what they mean for their specific context
Run Experiments, Not Ceremonies
Design small, time-boxed process experiments with clear hypotheses and success criteria
Facilitate retrospectives that generate testable improvements, not vague action items
Systematically reduce ceremony overhead as the team matures--shorter standups, less frequent planning, async where it works better
Document what works and what doesn't so we build institutional knowledge about effective practices
Coach with a Light Touch
Help teams interpret their own data rather than prescribing solutions
Ask questions that lead to insight: 'What do you think is causing this?' not 'Here's what you should do'
Make new practices stick through habit formation, not mandates--small changes, visible progress, intrinsic motivation
Build team capability to self-diagnose and self-improve so they eventually don't need you
Enable Faster Flow
Identify and remove systemic impediments--not just daily blockers, but structural friction
Work with technical leads to reduce batch sizes, shorten feedback loops, and enable smaller deployments
Help the team evolve from 'done at sprint end' toward continuous delivery as practices mature
Coordinate across teams when dependencies create delays, but work to eliminate dependencies over time
Navigate AI-Augmented Development
Experiment with how AI tools change estimation, code review, testing, and other development practices
Measure the actual impact of AI-assisted workflows--are we faster? higher quality? both?
Help the team develop principles for effective human-AI collaboration
Stay current on emerging practices and bring relevant ideas back to the team
What We're Looking For
Required Experience
3+ years helping teams improve delivery performance--title matters less than results
Demonstrated use of flow metrics (cycle time, throughput, WIP) to drive decisions, not just velocity
Experience with distributed teams across time zones
Technical background (former developer, QA, or similar) so you understand what the team actually does
Track record of measurable improvement: reduced cycle time, improved predictability, higher throughput
Preferred Experience
Regulated environment experience (healthcare, financial services, or similar)--FDA ideal but not required
Familiarity with Lean/Kanban beyond the basics--you've actually implemented WIP limits and measured the impact
Experience helping teams transition from Scrum toward continuous flow
Exposure to AI-assisted development tools and interest in how they change team dynamics
DORA metrics familiarity--deployment frequency, lead time, MTTR, change failure rate
The Mindset We Need
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