Calliere Logo

Calliere

Senior Software Engineer (Data)

Posted 2 Months Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.
The summary above was generated by AI

This is a remote position.

About the Team

You'd be joining a product group focused on making cloud data costs easier to understand and optimize. It started a few years ago from a simple frustration — the lack of a good tool for spotting savings and managing data-warehouse spend — and grew once it became clear plenty of other practitioners felt the same way. Today it's a small, tight-knit crew serving a healthy and growing customer base, shipping improvements to users on a near-weekly basis.

The team operates with a lot of autonomy: lean, efficient, and holding onto the values and working habits that let a small group move quickly.

The Opportunity

As a Senior Software Engineer, you'll help take the product to its next stage by designing and building new capabilities. You'll work closely with founding team members and fellow engineers, and you'll have real input into both the roadmap and the technical design.

What You'll Do

Alongside the rest of the engineering team, you'll be:

  • Building cost-management features — forecasting, anomaly alerts, cost allocation — that make staying on top of spend effortless
  • Crafting reusable, resilient UI components that keep the cost-exploration experience smooth
  • Creating fresh data-visualization capabilities to convey performance, query timing, and efficiency in new ways
  • Developing data pipelines and transformation models that surface new insights and opportunities for users
  • Strengthening the reliability and performance of the application

We're also looking for people who can:

  • Zero in on the problems that matter most, weighing tradeoffs to deliver the highest-impact outcomes for customers as fast as possible
  • Own features end to end — from shaping the initial design and plan through implementation, testing, and release
  • Move quickly and pragmatically, trusting strong instincts while balancing speed against depth
  • Hold a high bar for collaboration and communication, whether that's a clear written proposal, solid documentation, readable commit messages, or thorough testing




Requirements

What We're Looking For

  • Experienced engineers with a backend and data-engineering skill set
  • Solid working knowledge of Python, FastAPI, Postgres, dbt, Dagster, and Snowflake
  • Comfort with system design
  • Excellent written and verbal English
  • Self-directed, goal-oriented, and motivated — confident, thorough, and persistent
  • Able to stay effective and flexible in a fast-moving, evolving environment
  • A good sense of humor and a genuine enjoyment of the work

Bonus Points

  • Familiarity with the problem space (FinOps, cloud-infrastructure cost management, data-warehouse management and observability)
  • Experience in an early-stage startup

How We Work

We're a distributed team that values flexibility, ownership, and balance — the freedom to structure your work around your life, plus real support for growing your skills both professionally and personally. At our core, we're entrepreneurial, curious, and here to have fun while we do good work.



Similar Jobs

10 Hours Ago
In-Office or Remote
180K-240K Annually
Senior level
180K-240K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Build and operate distributed data and AI infrastructure for Airwallex’s Knowledge Platform. Responsibilities include architecting high-availability systems, optimizing state management and exactly-once processing, integrating streaming, vector indexing and agentic workflows, processing petabytes of data globally, and mentoring engineers through technical leadership.
Top Skills: Apache FlinkSparkClickhouseDatabricksGoJavaKafkaKotlinKubernetesOlap Engines
3 Days Ago
In-Office or Remote
CA, USA
185K-327K Annually
Senior level
185K-327K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Design, build, and operate shared backend platforms and frameworks for data acquisition, processing, and access. Lead projects from architecture through production, develop event-driven and batch or streaming systems, and improve reliability, observability, scalability, and data quality. Collaborate with software engineers, data engineers, and data scientists, make architectural trade-offs, mentor engineers, and contribute to technical standards. The role may also involve external data integrations and analytics and machine-learning data systems.
Top Skills: AWSCloudeventsDatabricksDatahubDbtIcebergJavaKafkaKotlinPrefectSnowflakeSparkSpark Structured Streaming
2 Days Ago
In-Office or Remote
188K-259K Annually
Senior level
188K-259K Annually
Senior level
Computer Vision • Machine Learning • Software
Build reliable Rust libraries and services for decentralized, offline-first data synchronization. Design CRDT-based systems using content addressing, deduplication, and Merkle trees; improve observability through metrics, logs, and traces; diagnose customer issues; and translate findings into product improvements. The role requires strong asynchronous communication, design documentation, and collaboration in a distributed team.
Top Skills: Asynchronous ProgrammingBluetooth Low EnergyConcurrencyContent AddressingCrdtsDeduplicationDistributed TracingEmbedded DatabasesIpv4LoggingMerkle TreesMesh NetworkingMetricsModel CheckingProperty-Based TestingRustTcpUdp

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account