Senior Software Engineer

We are looking for a Senior Software Engineer to join our engineering team and help build the platform that powers Bryq's talent intelligence products. You will work on complex, high-impact problems, from improving the reliability and performance of our assessment delivery infrastructure to building the data pipelines and APIs that connect our psychometric engine to the products our clients use every day. This is a role for an experienced engineer who is comfortable taking ownership of significant technical areas, mentoring less experienced colleagues, and contributing to architectural decisions. You will work in a collaborative environment where engineering quality is taken seriously and your opinion matters.

Key Responsibilities

Design, build, and maintain scalable and reliable backend systems and APIs

Take ownership of significant technical areas including architecture decisions, code quality, and system performance

Contribute to the full software development lifecycle: requirements, design, implementation, testing, deployment, and monitoring

Review code from peers and provide constructive, technically rigorous feedback

Mentor and support mid-level and junior engineers, helping them grow technically and professionally

Collaborate with product, data science, and I-O psychology teams to translate complex requirements into robust technical solutions

Proactively identify and address technical debt, performance bottlenecks, and reliability risks

Participate in on-call rotations and contribute to incident response and post-mortem processes

Contribute to engineering best practices, tooling, and developer experience improvements

Requirements

Required Qualifications

5+ years of professional software engineering experience, with at least 2 years in a senior or lead capacity

Strong proficiency in one or more backend languages (e.g., Python, Node.js, Go, Java)

Solid understanding of distributed systems, API design (REST or GraphQL), and cloud infrastructure (AWS, GCP, or Azure)

Experience with relational and non-relational databases and the trade-offs between them

Proven ability to take ownership of a technical domain end-to-end — from design through to production

Strong communication skills and ability to work effectively across engineering and non-engineering stakeholders

Undergraduate degree in Computer Science, Software Engineering, or equivalent practical experience

Preferred (Nice to Have)

Experience in a B2B SaaS or HR technology environment

Familiarity with psychometric data, assessment platforms, or data-intensive applications

Experience with event-driven architecture or message queuing systems (Kafka, RabbitMQ, or similar)

Contributions to open source projects or a strong public technical portfolio

Experience working in a remote-first engineering team

Postgraduate degree or research background in a quantitative discipline

Benefits

Competitive salary benchmarked at senior market rates

Equity / stock option scheme

Fully remote with optional access to co-working hubs

30 days annual leave plus public holidays

Annual learning and development budget (conferences, courses, certifications)

Top-spec hardware of your choice

A small, high-trust engineering team where your influence on technical direction is real

Originally posted on Himalayas