FullStack Developer

Job Title: SDE 2 / 3 - Senior Backend Engineer

We are looking for a Senior Backend Engineer who acts as a force multiplier for the team. This 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 quality. You 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.

In this role, you will:

• Own critical services end-to-end




• Solve complex system problems




• Turn ambiguity into working systems




• Increase team throughput

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

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



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



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

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



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



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



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



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



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



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

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

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  Deep backend experience





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



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



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  Should have 5 10+ years of experience. Exceptional candidates with fewer years but strong evidence of ownership and complexity handled are welcome.





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  Strong technical foundation





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



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



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





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  Data and storage





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



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





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  AI-Augmented Engineering





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



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





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  Operational maturity





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



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  Experience with monitoring and observability in production systems.

Not required, but strong positives:

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



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



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



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



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

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



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



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

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



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



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  A team that values clarity, autonomy, and continuous improvement.



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  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 you ve 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 prevention from 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

Tookitaki s 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 world s 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.