Platform Engineer - AI

Department Icon Data Science Analytics & Machine Learning
Posted: 1 hour ago
2-5 years
Remote - India
Data Science Analytics & Machine Learning
remote
Full Time
Closes 11 Jan 2027

Posted: 1 hour ago
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Job Description

TechGrove is the Centre of Excellence for Banyan Software, based in Chennai, India. It plays a key role in supporting Banyan’s global businesses through technology, security, and software development. TechGrove brings together India’s deep pool of technical talent with Banyan’s long-term approach to growth, creating a trusted, developer-focused environment where people can do their best work.

  • About the role
  • HWA International builds the trust accounting software that bank trust departments, credit unions,
  • foundations, and family offices run their fiduciary operations on. We are an AI-first engineering
  • organization, and agentic coding tools are how we build. Our platform is in a significant modernization,
  • and this role is one of the engineers who builds it.
  • Agentic tooling lets us understand existing behavior and specify what comes next far faster than that
  • work could be done by hand. You will use it to do exactly that, then build the modern platform end to
  • end: the C# and .NET services, the web front end, and the AWS infrastructure they run on. This is a full-
  • stack role, and you own the infrastructure your work runs on.
  • Accounting accuracy is the product, so correctness is the bar. Anything new has to produce the same
  • results as what it replaces, or better, and proving that is part of the job.
  • You will work within an architecture set by engineering leadership, with real influence on it. We work to
  • modern engineering standards: trunk-based development on GitHub, continuous integration,
  • infrastructure as code, and feature flags.
  • What you will do
  • Build the modern platform across the stack. Write features, services, and fixes in C# and .NET,

and the web front end that sits on them, against the architecture and patterns the team has set.

  • Own the infrastructure for what you deliver. Within the cloud architecture engineering
  • leadership sets, define and maintain your AWS environments as code, along with the
  • networking, managed databases, and services behind them, so every environment is
  • reproducible and version controlled.
  • Own delivery and observability. Build and run the CI/CD pipelines, staged rollout, and feature

flags that take your work to production, and the monitoring, logging, and alerting that tell us

how it behaves there.

  • Work out what existing code does and write it down. Use agentic tooling to analyze established

application and database logic, then produce a clear written specification of the behavior that

has to be preserved.

  • Move business logic into application code and prove it matches. Relocate rules wherever they
  • live today, including inside the database, into maintainable, tested application code. Build the
  • data migration paths and test harnesses that show the modern platform's calculations match
  • the existing ones.
  • Verify what the tools give you. Agentic tooling drafts the analysis, the documentation, and

much of the code. An agent's account of what existing code does is a hypothesis until you have

read the code and confirmed it. Characterization tests come before behavior changes.

  • Own the work in production. Whatever ships under your name is yours, from the first analysis
  • through to how it behaves in production. Take part in incident response, communicate clearly
  • while an issue is open, and follow through to root cause and a durable fix.
  • What we are looking for
  • You do not need to be an expert in every layer. Agentic tools let one strong engineer work across the full
  • stack and the infrastructure under it, so we look for depth where judgment matters most, enough
  • working knowledge everywhere else to direct the tools and catch their mistakes, and fluency with the
  • tools from day one.
  • Where you need depth
  • Several years of professional C# and .NET development, with production code you can describe

and defend.

  • Strong relational database skills: schema design, query tuning, and correct transaction and error

handling by reflex. PostgreSQL experience strongly preferred.

  • Demonstrated ability to work out what unfamiliar code does, including code written in a

language or platform you have not used before, and a repeatable method for doing it safely.

  • Agentic coding is table stakes. Deep, hands-on fluency with agentic tools (Claude Code, GitHub
  • Copilot, Cursor, or similar) as your primary way of working on real production code, from day
  • one, with the judgment to treat what they produce as work to be checked rather than answers
  • to be shipped.
  • Where working knowledge is enough
  • Front end: a modern web framework, React with TypeScript preferred.
  • Cloud: AWS (Azure considered), infrastructure as code, networking, managed databases, and

containers.

  • Delivery: CI/CD with automated testing and zero-downtime deployment, plus production

monitoring and alerting.

Across everything

  • Git and GitHub, with trunk-based development and short-lived branches.
  • Comfort owning quality on a system that cannot fail quietly: disciplined testing, observability,

and careful, staged rollout.

  • Clear written and spoken English, because much of your working contact with the team is

written.

  • Availability to work hours that overlap the first half of the US Eastern working day, so you work

with your counterparts rather than around them.

Nice to have

  • Experience in financial services or another regulated, high-stakes domain. Trust accounting,

wealth management, or fiduciary services is a strong plus but is not required. We will teach the

domain to the right engineer.

  • Experience modernizing an established business application onto a cloud-native stack.
  • AWS certification or equivalent depth in security, identity, and cost management on AWS.
  • Building software under SOC 1 / SOC 2 or comparable regulated-environment controls.

Recruitment Notice

TechGrove may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation.

Beware of Recruitment Scams

We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. 

Protect yourself by following these steps:

  • Verify that all communications from our recruiting team come from an @banyansoftware.com email address.
  • Remember, employers will never request payment or banking information during the hiring process.
  • If you receive a suspicious message, do not respond — instead, forward it to careers@banyansoftware.com and/or report it to the platform where you received it.

Your safety and security are important to us. Thank you for staying vigilant.

Skills

TypeScriptC#React.NETPostgreSQLAWSAzureCI/CDNetworkingSOCGitGitHubAccountingWealth ManagementRecruitment

If a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.

About Company

TechGrove, a Banyan Software company, acquires and invests in vertical market software businesses. As a permanent home for leading software companies, Banyan focuses on building, maintaining, and growing the best companies within niche vertical markets. Banyan provides operational support, best-in-class processes, and access to long-term capital to help its companies grow and achieve greater success. Banyan is backed by a world-class group of investors with expertise in building long-term value.
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