Python developer Work, Jobs in Berkeley, Gls (with Salaries)

Senior Software Engineer - Data Pipelines
Obsidian Security —Cheltenham
- £91,000 - £106,000 a year
- Hybrid work
- SQL
- AWS
- APIs
Quick apply
5d
DevOps Engineer (Security Clearance)
CGI —Chippenham
- Full-time
- Azure
- AWS
- Scripting
Quick apply
Infrastructure / DevOps Engineer - Speculative Talent Pipeline
Rowden —Bristol
- Full-time
- Hybrid work
- JavaScript
- Scripting
- Linux
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Senior Software Development Engineer in Test
PlayStation Global —Bristol
- C++
- Travel
- APIs
Senior Cyber Software Engineer/ Technical Lead
BAE Systems —Gloucester
- Hybrid work
- Java
- C++
- JavaScript
Senior Embedded Software Engineer
Toumetis —Bristol
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- C++
- AI
- Python
- Flexible schedule
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Senior Full Stack Engineer - UK
Comply365 —Bristol
- Full-time
- Hybrid work
- Java
- Machine learning
- No degree
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Senior Cloud Network Engineer
Graphcore —Bristol
- Presentation skills
- Bachelor's degree
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- Annual leave
- Employee assistance programme
DevOps / SRE Engineer
Roke Manor Research Limited —Gloucester
- DevOps
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Software Engineer – Backend
Data Direct Networks —Bristol
- £85,000 - £110,500 a year
- Full-time
- Java
- C++
- APIs
Quick apply
Senior Software Engineer
Toumetis —Bristol
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
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- AWS
- JavaScript
- Flexible schedule
Quick apply
Senior/Principal Software Engineer
Gemba Advantage —Cheltenham
- £70,000 - £100,000 a year
- Hybrid work
- Java
- AWS
- Python
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Senior/Principal DevOps Engineer
Gemba Advantage —Cheltenham
- £70,000 - £100,000 a year
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Senior DevOps Engineer
Leonardo UK Ltd —Bristol
- £59,400 - £84,955 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Flexible schedule
- Referral programme

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Senior Software Engineer - Data Pipelines

Obsidian Security -
Cheltenham

Quick apply

Job details

£91,000 - £106,000 a year
5 days ago

Qualifications

Go
Kubernetes
Relational databases
Software deployment
Git
Google Cloud Platform
SQL
AWS
Docker
PostgreSQL
Distributed systems
Redis
APIs
S3
Kafka
AI
GitLab
Python
Design patterns

Full job description

Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 200+ organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand, including many of the world's largest Fortune 1000 and Global 2000 companies.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens—Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.

About the Role - as a Senior Engineer at Obsidian, you'll:

Build or extend data pipelines that power Obsidian's Agentic AI and supply chain risk products.
Maintain, improve, and evolve existing systems to ensure performance, resilience, and scalability
Design and implement APIs and backend services, including multithreaded applications
Collaborate with product and engineering teams to support key product themes and ensure delivery of high-impact features
Apply strong software engineering practices to requirements gathering, system design, and code reviews
Contribute to a fast-moving, collaborative environment where adaptability and teamwork are essential.
Identify and proliferate best practices in data pipeline design between both the UK and US teams.

What's in It for You

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

Required Skills & Experience

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.

Desirable Experience

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.

AI Skills & AI-Native Engineering Expectations: As an AI-forward engineering organization, we expect senior engineers to effectively leverage AI tools and understand foundational AI concepts to enhance development efficiency and build AI-ready systems.

AI Engineering Capabilities:

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.

Quick apply

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python developer jobs in berkeley, gls

Senior Software Engineer - Data Pipelines

DevOps Engineer (Security Clearance)

Infrastructure / DevOps Engineer - Speculative Talent Pipeline

Senior Software Development Engineer in Test

Senior Cyber Software Engineer/ Technical Lead

Senior Embedded Software Engineer

Senior Full Stack Engineer - UK

Senior Cloud Network Engineer

DevOps / SRE Engineer

Software Engineer – Backend

Senior Software Engineer

Senior/Principal Software Engineer

Senior/Principal DevOps Engineer

Senior DevOps Engineer

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