Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Software Engineer to join the Elasticsearch - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s completely new compute engine, and accessed via our new piped query language called ES|QL. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of ES|QL capabilities. This role includes providing technical vision and direction for the customer/user interfaces and for the underlying language syntax and compute infrastructure. This role requires related past technical experience in addition to the ability to work cross-organization. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing As a full-time Elasticsearch contributor, you will define, lead, and contribute to the development of data-intensive enhancements. You’ll research the latest features, data structures, and algorithms in the industry to ensure we’re building the right capabilities for our users. You’ll work directly with our partners and product teams to understand their needs and build out a strategic vision for the longer term. You’ll bring your past experience in analytics systems to help build and drive an innovative roadmap for ES|QL and the compute engine. As an authority in several areas of Elasticsearch, everyone will turn to you when they have a question about that area. You'll improve those areas based on your questions and your instincts. Our globally distributed team of expert engineers is focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. This inclusive team collaborates closely with other user experience teams, crafting a friendly user interface, and with teams closer to the customer, building solutions on top of these APIs (Search, Security, Observability) Finally, we write idiomatic modern Java -- Elasticsearch is 99.8% Java! What You Bring - Experience leading technical projects in the data and enterprise architecture areas. You bring proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systems. - Experience mentoring expert engineers, providing technical and professional guidance. - Experience defining a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmap. - Hands-on experience with search and analytics APIs, some examples may include Splunk SPL, Elasticsearch, Datadog, Dynatrace, and New Relic. - Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You have a strong desire to optimize and make use of the most efficient data structures and algorithms. - Working with a high level of autonomy, able to tackle projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components. - Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and an understanding of 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 supportive, empathetic, and trusting in all of our interactions. And we expect that from everyone too. Bonus Points - You've built things with Elasticsearch before, and you have experience in the search and information retrieval space and understand the constructs and theory behind it. - Experience working with open source projects and familiar with different styles of source control workflow and continuous integration. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100—$210,600 USD The typical starting salary range for this role in the select locations listed above is: $239,800—$379,300 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Software Engineer to join the Elasticsearch - Analytical Engine team. This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s completely new compute engine, and accessed via our new piped query language called ES|QL. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of ES|QL capabilities. This role includes providing technical vision and direction for the customer/user interfaces and for the underlying language syntax and compute infrastructure. This role requires related past technical experience in addition to the ability to work cross-organization. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing As a full-time Elasticsearch contributor, you will define, lead, and contribute to the development of data-intensive enhancements. You’ll research the latest features, data structures, and algorithms in the industry to ensure we’re building the right capabilities for our users. You’ll work directly with our partners and product teams to understand their needs and build out a strategic vision for the longer term. You’ll bring your past experience in analytics systems to help build and drive an innovative roadmap for ES|QL and the compute engine. As an authority in several areas of Elasticsearch, everyone will turn to you when they have a question about that area. You'll improve those areas based on your questions and your instincts. Our globally distributed team of expert engineers is focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. This inclusive team collaborates closely with other user experience teams, crafting a friendly user interface, and with teams closer to the customer, building solutions on top of these APIs (Search, Security, Observability) Finally, we write idiomatic modern Java -- Elasticsearch is 99.8% Java! What You Bring - Experience leading technical projects in the data and enterprise architecture areas. You bring proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systems. - Experience mentoring expert engineers, providing technical and professional guidance. - Experience defining a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmap. - Hands-on experience with search and analytics APIs, some examples may include Splunk SPL, Elasticsearch, Datadog, Dynatrace, and New Relic. - Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You have a strong desire to optimize and make use of the most efficient data structures and algorithms. - Working with a high level of autonomy, able to tackle projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components. - Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and an understanding of 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 supportive, empathetic, and trusting in all of our interactions. And we expect that from everyone too. Bonus Points - You've built things with Elasticsearch before, and you have experience in the search and information retrieval space and understand the constructs and theory behind it. - Experience working with open source projects and familiar with different styles of source control workflow and continuous integration. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $133,100—$210,600 USD The typical starting salary range for this role in the select locations listed above is: $239,800—$379,300 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. - Competitive pay based on the work you do here and not your previous salary - Health coverage for you and your family in many locations - Ability to craft your calendar with flexible locations and schedules for many roles - Generous number of vacation days each year - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service - Up to 40 hours each year to use toward volunteer projects you love - Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity/affirmative action employer committed to diversity, equity, and inclusion. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Company Description Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth. A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions. With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community. Job Description One of our clients operates prominently in the financial sector, where we enhance operations across their extensive network of 150,000 workstations and support a workforce of 4,500 employees. Our IT solutions ensure streamlined processes and heightened security, enabling them to maintain leadership in financial technology. Responsibilities Prompt Engineering & Enhancement : Design, secure, extend, and customize system prompts (e.g., chat history, instructions, rules); evaluate the impact of prompt changes and continuously improve LLM usage scenarios while analyzing risks and benefits. RAG Systems Development: Design and optimize retrieval pipelines, including document chunking, embedding generation, and ranking strategies. Build and maintain solutions using vector databases (e.g., FAISS, Weaviate, Pinecone) or Postgres with pgvector, to enable accurate and context-aware responses. Context Management & Optimization: Implement advanced context window optimization, memory strategies, and token efficiency techniques to ensure scalable and cost-effective LLM interactions. LLM Evaluation, Monitoring & Tracking: Evaluate new LLM releases, monitor response quality and consistency, and build automated evaluation pipelines to assess performance across use cases. AI Safety & Guardrails Implementation: Design and implement prompt injection protection, output filtering, and policy enforcement mechanisms to ensure safe and compliant AI behavior in enterprise environments. System Integration & APIs: Develop and expose AI capabilities via scalable APIs, ensuring proper integration into existing systems and workflows. Deployment, Serving & Scalability: Design and manage serving layers for LLM applications, addressing scaling strategies, latency considerations, and reliability in both cloud and on-prem environments Observability & Reliability: Implement logging, monitoring, and alerting mechanisms to ensure visibility into system performance, usage patterns, and failures. Python Development & Prototyping: Develop prototype and production-level Python code to support AI features, ensuring reliability and maintainability aligned with product requirements. Knowledge Sharing & Research: Stay up to date with the latest techniques in reasoning, chaining, and context optimization; contribute to AI Labs community discussions and share findings with the Data Science team. Qualifications Language mandatory requirement: - Strong German language skills (B2 level or higher) required Must have: - 4+ years of experience with Python and its data science ecosystem (Pandas, NumPy, Scikit-learn) - Proven experience in prompt engineering and LLM behavior analysis - Extensive hands-on experience with LLM integration frameworks such as LangChain or similar. - Experience designing retrieval pipelines, including chunking, embedding generation, and ranking strategies - Hands-on experience with vector databases (PG Vector, FAISS, Pinecone, Weaviate, etc.) - Strong understanding of embeddings and semantic search - Experience with context window optimization, memory strategies, and token efficiency techniques - Experience implementing prompt injection protection, output filtering, and policy enforcement mechanisms - Experience building and exposing APIs for AI systems - Experience with serving LLM applications, including scaling and latency optimization - Familiarity with deployment in cloud and/or on-premise environments - Experience with logging, monitoring, and system observability - Experience building automated evaluation pipelines for LLM systems Nice to have: - Experience with Java or modern backend frameworks (e.g., Spring) for enterprise system integration - Experience with frontend frameworks (e.g., Angular) for building or integrating AI-driven user interfaces - Familiarity with LLM observability tools or advanced evaluation frameworks - Experience with real-time or streaming inference systems As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace. Additional Information At Accesa you can Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion. - Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club. - Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us. - Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance. - Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests. - Department: Core Technologies | Data & AI

Role Description Join our team as a Senior QA Engineer, where your main mission will be to write automated tests for our API and UI layers. You'll wield tools like Selenium to hunt down bugs and ensure our software is flawless. As a senior, you'll also mentor and guide team members, sharing your expertise in automation and testing best practices. If you're a detail-oriented techie who loves a good challenge, this role is your playground. - Working with the existing QA and development team members, deliver a comprehensive test strategy for an industry leading SaaS application. - Ensure that test plans are consistent with test activities across a diverse and distributed set of development teams. - Collaborate with the Product and Development teams to create user stories, define acceptance criteria, and build test plans. - Maintain existing tests and write manual and automated tests while features are being developed. - Test and validate software to ensure that it satisfies requirements and is free from defects. - Analyze the root cause for testing failures and open appropriate tickets with sufficient findings. - Integrate test automation into the CI/CD pipeline and increase the organization's speed to market. - Manually test application components where automation is not a good fit. - Make recommendations on how our current testing processes can be improved. - Mentor team members in testing strategies and automation design patterns. Qualifications - 8 or more years experience in an Agile, highly collaborative, team-based environment. - 5 or more years experience developing API and UI test automation projects. - BS and/or MS in a technical discipline (Computer Science or Software Engineering preferred). - Expertise with OOP concepts and design patterns. - Strong understanding of web and browser technologies. - Strong understanding of software development languages such as C#, Java, JavaScript. - Strong understanding of test automation frameworks such as Selenium, Cucumber. Benefits - Competitive salary - $95,000-$125,000. - Employer sponsored health, dental, vision, life, and disability insurance. - Retirement plan with company contribution. - Annual company profit sharing. - Personal development/training budget. - Open, collaborative work environment. - Extensive 2-week onboarding plan. - Comprehensive mentorship program. Company Description TherapyNotes is the go-to superhero for behavioral health Practice Management and EHR software! Our top-notch SaaS solution handles scheduling, billing, documenting, telehealth, and more so clinicians can focus on awesome patient care. We're a dynamic team of pros who love to innovate and push the envelope, keeping our software cutting-edge. Join us, and let's revolutionize behavioral health software together while making a real difference!