Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
Loading job details
Senior Software Engineer – Backend, Big Data & AI
- Posted
- 3D AGO
About the role
Are you a software engineer passionate about building cutting-edge systems?
Excited about shaping the future of security through Big Data and AI?
Who We Are
Join the Cloud Security Intelligence group, operating one of Israel's largest Big Data environments. We develop intelligence-driven products enabling customers to detect and respond to security threats efficiently and at scale.
Join us
Our team is integrating advanced data systems with AI and Machine Learning to predict and address evolving cyber threats effectively. One AI-driven product is operational, while additional solutions are under development to enhance security capabilities further.
As a Senior Backend, Big Data & AI Software Engineer, you'll play a key role in:
- Designing, developing, and deploying cloud-native, high-scale Big Data systems, Cloud (Azure).
- Optimizing data pipelines, integrating AI/ML models into production for real-time insights, and driving AI initiatives from PoCs to features.
- Collaborating across product, UX, data science, and engineering to shape the next generation of security tools.
- Leveraging technologies such as Kubernetes, Kafka, ELK, Prometheus, Grafana, and more.
Do what you love
To be successful in this role you will:
- Bring 5+ of backend or data engineering experience, with focus on Big Data environments.
- Have a B,Sc. in Computer Science or a related field.
- Demonstrate expertise in Python, Java/Scala, and frameworks such as Spring Boot, FastAPI, Flask, and Django.
- Gain practical expertise with Kubernetes and cloud platforms such as Azure, AWS, and GCP.
- Work with large-scale data infrastructures and distributed systems architecture efficiently.
- Understand core machine learning concepts, including supervised and unsupervised learning, model lifecycle, and evaluation metrics comprehensively.
- Demonstrate experience with LLMs, Agents, generative AI, or AI-driven security tools without omitting any essential details.
- Contribute to open-source projects or research initiatives within the fields of machine learning and artificial intelligence.
About us
At Akamai, we make life better for billions of people, trillions of times a day.
Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.
Our focus is simple:
Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.
At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.
Benefits at Akamai: We support your health, well-being, finances, and life beyond work. See our benefits.
FlexBase adapts to your job's needs
Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work.
We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.
