At a Glance
- Tasks: Join us to tackle complex challenges in blockchain technology and build innovative products.
- Company: Chainalysis, a leader in blockchain investigation and compliance software.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Diverse and inclusive culture that values your unique experiences and ideas.
- Why this job: Make a real impact in the rapidly evolving world of cryptocurrency and AI.
- Qualifications: 8+ years in PostgreSQL and Java Spring Boot, with a passion for scaling data systems.
The predicted salary is between 66150 - 80850 £ per year.
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user-facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers.
Chainalysis has become known as the leader in blockchain investigation and compliance software. Our products have built trust in blockchains by taking down terrorist financing campaigns, disrupting major ransomware operations, identifying the Twitter hackers, and more. We are building the data platform for blockchain, cryptocurrency, and web3. We’re looking to bring onboard a Senior Software Engineer with deep PostgreSQL and Java Spring Boot experience who executes high-impact projects and is excited about building at a significant scale!
In this role, you’ll:
- Own and improve our data ingest Java service for enriched transfers generation and aggregations.
- Design and tune PostgreSQL transaction batching, indexing, and replication strategies.
- Contribute to the next-generation architecture. The team is evaluating a wide stack of cutting-edge technologies. You will run PoCs, benchmark latency, and write ADRs and contribute to delivering the next generation to PROD.
- Build and maintain scalable API services on AWS that handle thousands of requests per second.
- Help automate network onboarding end-to-end.
- Debug production issues across microservices, define SLOs, and participate in the on-call rotation.
- Integrate LLM-based tools into daily engineering work and build agentic automation for operational tasks: automated incident triage, self-healing pipelines, and intelligent alerting.
We’re looking for candidates who have:
- 8+ years with PostgreSQL in production: schema design, query optimization, partitioning, replication, and performance tuning under write-heavy, high-throughput workloads.
- 8+ years building Java Spring Boot services: REST APIs, JDBC, connection pooling, and JVM performance profiling.
- Experience with Kafka or equivalent streaming systems: consumer groups, offset management, and partition lag debugging.
- Track record operating distributed systems on AWS: microservices, multi-silo deployments, Terraform.
- Strong cross-system debugging skills: tracing a serving delay from a Datadog metric to a Humio log to a code path.
- Comfort with AI-assisted development and agentic engineering practices.
- A bias to ship and iterate alongside product and design partners.
- A genuine excitement for significantly scaling large data systems.
Technologies
- Core (experience required): PostgreSQL, Java, Spring, Kafka.
- Expected familiarity: AWS, Kubernetes, Terraform, Python, GitHub including GitHub Actions, DataDog, Humio, PagerDuty.
- Nice to have: Database migration experience (evaluating and cutting over between storage systems), Flink, Spark, or lakehouse formats (Delta Lake, Iceberg, Parquet), Kubernetes operations (StatefulSets, Helm Releases, stateful workloads), mentoring engineers and driving technical decisions through RFCs/ADRs.
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships, and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.
Senior Software Engineer, Aggregation & Search employer: Chainalysis
Chainalysis is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. As a Field Marketing Coordinator, you'll benefit from opportunities for professional growth while working in a fast-paced environment that values diversity and encourages creativity. With a commitment to employee development and a global reach, Chainalysis offers a unique chance to be part of a pioneering team in the cryptocurrency industry, making a meaningful impact on the future of blockchain technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Aggregation & Search
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Chainalysis or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Chainalysis.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Chainalysis.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Chainalysis that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer, Aggregation & Search
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Chainalysis.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Chainalysis and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Chainalysis
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Chainalysis uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.