[Hiring] Staff Software Engineer @TechGrove by Banyan Software

Role Description

This is a hands-on Staff Engineer role with no direct reports. Your influence comes from the systems you design, the code you write and how you raise the engineering bar for the people around you.

• About 90% of your time will be backend work in Java or Go: distributed systems, concurrency, data pipelines, AI and agent infrastructure, and performance work.
• The other 10% is frontend work in React.
• This is not CRUD or API plumbing. You'll work on orchestration, scheduling, high-throughput ingestion, retrieval quality, agent reliability and performance problems that don't have a ready-made answer.

What You'll Do

• Build the AI core of the platform. Design and ship LLM-powered features and autonomous agents that author tests, diagnose failures, find root causes and repair broken tests.
• Build RAG and retrieval systems over test artifacts, logs, traces, DOM snapshots and code. You'll own chunking, embeddings, hybrid search, ranking and context construction, and measure retrieval quality rigorously.
• Make AI production-grade. Build evaluation harnesses, guardrails, observability, cost and latency controls, and fallbacks so agents behave predictably in enterprise environments, including self-hosted and air-gapped ones.
• Design and build core platform systems in Java or Go, including session orchestration, scheduling, resource management and high-concurrency services behind thousands of parallel browser and device sessions.
• Own the data layer across PostgreSQL (transactional), ClickHouse (analytics and high-volume telemetry), OpenSearch (logs, search and vector retrieval) and Redis (caching, coordination, queues).
• Own delivery across the whole lifecycle. You'll containerize with Docker, deploy and run on Kubernetes, automate with Ansible, and make sure the software runs reliably in customer environments you don't control.
• Solve hard problems end to end. Find the bottleneck, profile it, design the fix, ship it and watch it in production.
• Ship features in React when the work needs it, with no frontend team to hand off to.
• Set technical direction through design docs, architecture reviews and prototypes. Make the hard trade-off calls and explain them clearly.
• Make the team AI-native. Use AI coding tools every day and help shape how the team builds with them.

Qualifications

• Strong professional software engineering experience, with a strong record of building and owning complex backend systems.
• Deep expertise in Java or Go, including concurrency, memory management, performance tuning and idiomatic modern code.
• Mandatory: hands-on experience building with LLMs, including:
  • RAG systems in production or close to it: embeddings, vector or hybrid search, chunking strategies, reranking and retrieval evaluation.
  • AI agents: tool and function calling, multi-step planning, memory and state, and handling failures and non-determinism.
  • Prompt and context engineering, plus evaluation.
• Daily, effective use of AI coding tools (Claude Code, Cursor, Copilot or similar).
• Strong computer science fundamentals and problem-solving ability.
• Production experience with data stores. Solid PostgreSQL skills plus hands-on experience with at least one of ClickHouse, OpenSearch/Elasticsearch or Redis at scale.
• Hands-on with Docker, Kubernetes and Ansible.
• Working proficiency in React and modern frontend development.
• An owner's mindset. You do well with autonomy and ambiguity.
• Clear written communication. Comfortable working remotely and asynchronously.

Nice to Have

• Experience with browser automation and test infrastructure: Selenium/WebDriver, Playwright, Appium, Selenium Grid, or device and emulator farms.
• Deeper Kubernetes knowledge: operators, custom controllers, autoscaling, or multi-tenant design.
• Experience with high-throughput ingestion and analytics, such as event pipelines, time-series data, or ClickHouse schema and materialized view design.
• Experience running self-hosted or open-weight LLMs (vLLM, Ollama, TGI) for air-gapped or data-sensitive deployments.
• Experience with fine-tuning, small-model distillation, or multimodal models (screenshots, DOM, visual diffing).
• Background building on-premise enterprise software for locked-down or regulated customer environments.
• Familiarity with security and compliance expectations in financial services or healthcare.

Why Element34

• Build an AI-native product, not add AI to an old one.
• Real ownership. Small team, large scope, and your work reaches production at major enterprises.
• Hard problems. Agent reliability, retrieval at scale, distributed orchestration and performance.
• Fully remote, with a team that values deep work and written communication.
• No bureaucracy. Nothing stands between you and the decisions, the customers or the codebase.

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.

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. Protect yourself by following these steps:

• Verify that all communications from our recruiting team come from an @banyansoftware.com email address.
• 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 [email protected] and/or report it to the platform where you received it.

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