FullStack Developer

Job Title: SDE 2 / 3 - Senior Backend Engineer
Location: Bangalore (Hybrid)

Position Overview

We are looking for a Senior Backend Engineer who acts as a force multiplier for the role is for someone who can design and own core backend systems make sound architectural decisions and use AI-assisted development as a standard part of their workflow to deliver more faster without compromising will not be purely ticket-taking. You will be responsible for shaping systems improving engineering leverage and setting the bar for how modern backend development is done.

How Youll Have an Impact

In this role you will:

• Own critical services end-to-end
  Take responsibility for the lifecycle of key backend services: domain modelling API contracts data access patterns deployment strategy observability and ongoing evolution.

• Solve complex system problems
  Design for scale reliability and performance: from API design and database schema decisions to handling failures backpressure and P99 latencies.

• Turn ambiguity into working systems
  Start from high-level product goals or problem statements and turn them into clear designs trade-offs and implementation planswithout needing everything specified upfront.

• Increase team throughput
  Identify recurring pain points then remove them with tools scripts templates or platform improvements so that the whole team moves faster.

How You Work with AI

AI is not an add-on in this role; it is part of the core workflow.

• You architect then delegate: you design the system define interfaces and invariants and use AI tools to draft code tests and documentation.

• You treat AI as a junior engineer: useful for speed but everything still passes through your judgment for correctness security and maintainability.

• You institutionalize workflows: you dont just use AI privately; you help define and share patterns so others can reliably benefit from AI-assisted development too.

Core Responsibilities

• Design and implement backend services and APIs used by internal and external consumers.

• Define and evolve data models and storage strategies across relational and non-relational systems.

• Build systems that are observable by default: logs metrics traces sensible alerts.

• Debug and resolve complex issues across services data stores and infrastructure.

• Improve developer experience through internal tools shared libraries and better workflows.

• Collaborate closely with product frontend data and platform teams to deliver features and platform capabilities.

• Provide technical guidance through design reviews code reviews and informal mentorship.

What Were Looking For

We care more about what youve built and owned than calendar years but you likely have experience along these lines:

• Deep backend experience

• You have built and maintained production services that matter: user-facing APIs high-throughput systems or critical internal platforms.

• You understand how things work under the hood (e.g. HTTP concurrency models connection pooling indexing).

• Should have 510 years of experience. Exceptional candidates with fewer years but strong evidence of ownership and complexity handled are welcome.

• Strong technical foundation

• Proficiency in at least one modern backend language and ecosystem (e.g. Java/Kotlin/Scala Go).

• Solid grasp of system design: boundaries contracts failure modes trade-offs.

• Comfortable with both REST and where appropriate alternatives like gRPC or messaging.

• Data and storage

• Strong SQL skills and experience with relational databases: schema design indexing query tuning.

• Exposure to at least one of: NoSQL / key-value / column stores caches message brokers.

• AI-Augmented Engineering

• You already use AI tools to accelerate your work and can explain how (e.g. scaffolding refactors test generation documentation).

• You know when AI-generated code is risky and how to review and harden it.

• Operational maturity

• Comfortable with Git-based workflows CI/CD and containerization (Docker Kubernetes or similar).

• Experience with monitoring and observability in production systems.

Nice-to-Have Experience

Not required but strong positives:

• Designed or operated high-throughput or latency-sensitive services.

• Worked with event-driven architectures and message brokers (e.g. Kafka RabbitMQ).

• Built internal tooling / CLIs / libraries that significantly reduced toil for other engineers.

• Led or co-led initiatives such as large refactors migrations or performance improvement efforts

• Experience with infrastructure-as-code and cloud platforms (AWS GCP or Azure).

How We Work

• High agency: Engineers are trusted to make technical decisions propose better approaches and own outcomes.

• Bias to ship: We value iterative delivery with strong guardrails (tests reviews observability) over long-running unshipped perfection.

• Leverage mindset: We invest in tools automation and AI so each engineer can have outsized impact.

What We Offer

• Ownership of meaningful backend systems with visible impact on users and the business.

• A modern engineering environment where AI-assisted development is encouraged and supported.

• A team that values clarity autonomy and continuous improvement.

• Competitive compensation benefits and flexible work arrangements Bangalore.

If this aligns with how you like to work include in your application a brief example of a system or internal tool youve owned end-to-end and how it increased impact for you or your team.

Introducing Tookitaki

Tookitaki: The Trust Layer for Financial Services

Tookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars: preventing fraud to build consumer trust and combating money laundering to secure institutional trust. Our trust layer leverages collaborative intelligence and a federated AI approach delivering powerful AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance.

How We Build Trust: Our Unique Value Propositions

1. AFC Ecosystem Community-Driven Financial Crime Protection
   The Anti-Financial Crime (AFC) Ecosystem is a community-driven platform that continuously updates financial crime patterns with real-time intelligence from industry experts. This enables our clients to stay ahead of the latest money laundering and fraud tactics. Leading digital banks and payment platforms rely on Tookitaki to protect them against evolving financial crime threats. By joining this ecosystem institutions benefit from the collective intelligence of top industry players ensuring robust protection.

2. FinCense End-to-End Compliance Platform
   Our FinCense platform is a comprehensive compliance solution that covers all aspects of AML and fraud preventionfrom name screening and customer due diligence (CDD) to transaction monitoring and fraud detection. This ensures financial institutions not only meet regulatory requirements but also mitigate risks of non-compliance providing the peace of mind they need as they scale.

Industry Recognition and Global Impact

Tookitakis innovative approach has been recognized by some of the leading financial entities in Asia. We have also earned accolades from key industry bodies such as FATF and received prestigious awards like the World Economic Forum Technology Pioneer Forbes Asia 100 to Watch and Chartis RiskTech100.

Serving some of the worlds most prominent banks and fintech companies Tookitaki is continuously redefining the standards of financial crime detection and prevention creating a safer and more trustworthy financial ecosystem for everyone.