Senior Software Engineer - Data Pipelines

• You will have direct impact on the core product used by enterprises worldwide
• Work alongside a talented, friendly team in a supportive and collaborative culture
• Grow your skills with opportunities to learn new technologies and engineering practices
• Be part of an innovative, fast-paced environment where your contributions are valued
• Enjoy a hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester

• 5-7 years of experience in a software engineering role
• Proficiency in one or more modern programming languages such as Python, Go, or SQL
• Experience building backend services, APIs, and multithreaded applications
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
• Strong knowledge of relational databases (e.g., Postgres)
• Experience collaborating in team environments and adapting to changing requirements
• Understanding of software design principles and engineering best practices
• Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis)
• Familiarity with Git for version control and deployment tooling, such as GitLab CI/CD
• Experience in influencing design patterns based on best practices.
• Experience assessing alternative data architecture designs to produce accurate and unbiased recommendations.

• Experience with system monitoring and observability tools such as Grafana, Prometheus, or similar platforms
• Understanding of quality engineering (QE) practices across development and testing lifecycles
• Exposure to large-scale distributed systems and performance optimisation
• Experience in forming strong stakeholder relationships to help promote joint working between teams.
• Experience of working alongside both UK and US development teams.

• Leverage AI tools effectively to improve development efficiency and build AI-ready systems.
• Proficient with AI-powered developer tools; able to critically evaluate and refine AI-generated outputs.
• Strong understanding of core AI/ML concepts (LLMs, embeddings, vector databases, inference, evaluation).
• Experience integrating AI/ML APIs and building AI-ready data infrastructure (e.g., for RAG).
• Ensure data quality, governance, observability, reliability, security, and performance in AI-driven systems.

Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.

At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization.  If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.com

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