The Senior Software Engineer will focus on Lucene's distributed indexing and query capabilities, improve code features, and collaborate with a global team.
What You Will Be Doing:
- You’ll work with a globally distributed team of experienced engineers focused on distributed indexing and query capabilities of Lucene.
- You'll be an expert in the engine area and everyone will turn to you when they have a question. You'll improve those areas based on your questions and your instincts.
- You'll be a full time Lucenia contributor, building data intensive new features, fixing exciting bugs and increasing the testing coverage, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure, or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
- You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
- You'll write idiomatic modern Java and possibly Rust!
- You have strong core Java skills and are conversant in the standard library of data structures and concurrency constructs.
- Excellent understanding of concurrent and parallel programming principles.
- Proven background in applied data processing (data structures, algorithms).
- Familiarity with low-level abstractions in OS.
- You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
- Solid software engineering foundations, with proven track record of designing and delivering high-quality solutions.
- Comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder but we do it anyway because it's the best way we know to build software.
- You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
- Excellent verbal and written communication skills. Collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.
- You've built things with Luence before.
- Worked on index and search data structures technology.
- Have experience designing, leading and owning cross-functional initiatives.
- Worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
- Past working experience with database, search engine, OS or cloud service development.
Similar Jobs
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Leads NinjaOne’s FedRAMP High and Moderate compliance program, including authorization, continuous monitoring, audits, control testing, POA&M management, vulnerability remediation, documentation, and assessor coordination. Partners with engineering and federal stakeholders to implement controls, maintain evidence, manage cloud security dependencies, track regulatory changes, and automate compliance workflows. Provides FedRAMP subject matter expertise to internal teams, customers, and prospects while improving audit efficiency and evidence quality.
Top Skills:
AWSAws Security HubAzureGCPKqlLucidchartMicrosoft VisioOscalPythonQualysRegoSQLTenableWiz
Fintech • Mobile • Social Impact • Financial Services
Lead Brigit’s B2B partnership strategy and commercial growth across strategic, embedded-finance, API, and data partnerships. Own pipeline development, negotiations, launches, renewals, expansion, partner performance, and operating cadence. Collaborate with Product, Engineering, Risk, Legal, and Compliance on integrations, diligence, contracting, and data-use decisions. Build and manage the partnerships team while evaluating new underwriting-data opportunities and ensuring repeatable, compliant partnership practices.
Top Skills:
APIs
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Leads Monte Carlo’s Enterprise Americas sales team, overseeing forecasts, pipeline coverage, new-logo bookings, outbound prospecting, deal inspection, and enterprise sales coaching. The role requires developing a repeatable sales process, coaching reps through complex executive-level deals, recruiting enterprise account executives, and partnering with sales engineering, SDR, marketing, and customer success teams. Candidates should have prior enterprise SaaS sales leadership experience and expertise in disciplined methodologies such as MEDDPICC and value-based selling.
Top Skills:
Artificial IntelligenceCommand Of The MessageData ObservabilityEnterprise SaasMeddpicc
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
