Mercury tech stack
Mercury builds mostly with SQL, Haskell, TypeScript, Python. Its stack also includes AWS, React.js, Snowflake, Amazon Kinesis. SQL is named in 15 of the 45 job postings Mercury published in the last 12 months (33%). Counted by Alion from the job postings of Mercury, updated Sep 30, 2026.
What programming languages does Mercury use?
SQL is named in 33% of job postings at Mercury, followed by Haskell (22%), TypeScript (20%), Python (11%).
What frameworks and libraries does Mercury use?
React.js is named in 9% of job postings at Mercury, followed by FastAPI (4%), Flask (4%), OpenTelemetry (4%).
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What databases does Mercury use?
Snowflake is named in 7% of job postings at Mercury, followed by DynamoDB (4%), Redis (4%), OpenSearch (2%).
What cloud and platforms does Mercury use?
AWS is named in 13% of job postings at Mercury, followed by Amazon Kinesis (4%), Apache Kafka (4%), Grafana (4%).
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What developer tools does Mercury use?
Model Context Protocol is named in 11% of job postings at Mercury, followed by dbt (11%), Adobe After Effects (2%), Blender (2%).
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What AI and ML technologies does Mercury use?
LLM is named in 7% of job postings at Mercury, followed by ChatGPT (2%), Claude (2%).
Which engineering practices does Mercury ask for?
AI Agents is named in 20% of job postings at Mercury, followed by Machine Learning (18%), CI/CD (9%), RAG (7%).
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What does each Mercury team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
9 postingsAI/ML
3 postingsHow does your stack fit Mercury?
How is the Mercury stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Mercury stack?
Mercury scores 85 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 3; legacy ones: 0.
How common is the Mercury stack in its industry?
Share of the 304 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Mercury apart
Companies with a stack like Mercury
Questions about the Mercury tech stack
What programming languages does Mercury use?
The languages named in Mercury job postings are SQL (33%), Haskell (22%), TypeScript (20%), Python (11%), JavaScript (9%), as a share of the 45 postings of the last 12 months.
Does Mercury use React.js?
Yes. React.js is named in 4 of 45 job postings (9%) and required in 4 of them.
What cloud and platforms does Mercury use?
The cloud and platforms named in Mercury job postings are AWS (6), Amazon Kinesis (2), Apache Kafka (2) (postings in brackets).
What skills do you need for a Backend job at Mercury?
Backend postings at Mercury most often require Haskell (6), TypeScript (4), AWS (2), Redux (2), out of 9 postings in the last 12 months.
Is the Mercury tech stack changing?
Yes. ETL/ELT, Grafana, OpenTelemetry, Unix first appeared in Mercury job postings in the last six months.
How modern is the Mercury tech stack?
Mercury scores 85 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 3; legacy ones: 0.
How does Alion know the Mercury tech stack?
Alion reads every job posting Mercury publishes and tags the technologies each one names. The figures on this page count the 45 postings of the last 12 months and were updated on Sep 30, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Mercury tech stack: 65 technologies from 45 job postings", as of Sep 30, 2026. https://alion.io/company/mercury/technologies
