Generative Biology Institute The Generative Biology Institute (GBI) is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the art facility will include more than 40,000 m of research laboratory and office space.It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary The Generative Biology Institute (GBI) is seeking enthusiastic and motivated Research Assistants to join the institute. This role is ideal for individuals looking to apply their academic training in a practical, research-intensive environment. Research Assistants will support ongoing research projects within one or more GBI research groups, assisting with experimental work, data collection and analysis, and the development and maintenance of laboratory capabilities. You will also contribute to the preparation of scientific reports, presentations, and other research outputs, working closely with researchers across GBI in a collaborative and well resourced setting dedicated to advancing engineering biology at scale. Applications to Research Groups Applicants are required to apply to specific research groups as part of their application. On the application form, you may select up to three (3) research groups. In your cover letter, please clearly indicate the group(s) you are applying to and describe your interest, relevant skills, and experience for each. Applications that do not specify research group preferences, or that select more than three groups, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Research Assistants: Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Research Assistants: Assist in scientific studies and experiments by collecting and analysing data under the guidance of the senior scientists Perform routine laboratory tasks such as preparing samples, setting up equipment, and maintaining lab safety protocols Analyse experimental data using software tools. Prepare reports and presentations of findings Support the Research Group in the development of written materials, including publications, conference presentations and laboratory protocols Carry out desk based research to establish the state of the art in scientific areas related to the work of GBI Stay current on scientific advancements and technologies related to the field of synthetic biology through journals, conferences, and other academic resources Provide general day to day support to the wider team and any other duties requested of you by your group leader This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential & Desirable Knowledge, Skills and Experience: A Bachelor's degree in a relevant scientific field (e.g. Biology, Chemistry, Engineering, Computer Science) Previous experience in working in a research laboratory Ability to work effectively in a high growth, fast paced, dynamic environment. Highly organised with an ability to manage multiple projects. Excellent oral and written communication skills, inter personal skills, and the ability to work with a wide range of people from diverse backgrounds. Experience with problem solving involving multiple internal and external stakeholders We offer the following salary and benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Mar 11, 2026
Full time
Generative Biology Institute The Generative Biology Institute (GBI) is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the art facility will include more than 40,000 m of research laboratory and office space.It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary The Generative Biology Institute (GBI) is seeking enthusiastic and motivated Research Assistants to join the institute. This role is ideal for individuals looking to apply their academic training in a practical, research-intensive environment. Research Assistants will support ongoing research projects within one or more GBI research groups, assisting with experimental work, data collection and analysis, and the development and maintenance of laboratory capabilities. You will also contribute to the preparation of scientific reports, presentations, and other research outputs, working closely with researchers across GBI in a collaborative and well resourced setting dedicated to advancing engineering biology at scale. Applications to Research Groups Applicants are required to apply to specific research groups as part of their application. On the application form, you may select up to three (3) research groups. In your cover letter, please clearly indicate the group(s) you are applying to and describe your interest, relevant skills, and experience for each. Applications that do not specify research group preferences, or that select more than three groups, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Research Assistants: Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Research Assistants: Assist in scientific studies and experiments by collecting and analysing data under the guidance of the senior scientists Perform routine laboratory tasks such as preparing samples, setting up equipment, and maintaining lab safety protocols Analyse experimental data using software tools. Prepare reports and presentations of findings Support the Research Group in the development of written materials, including publications, conference presentations and laboratory protocols Carry out desk based research to establish the state of the art in scientific areas related to the work of GBI Stay current on scientific advancements and technologies related to the field of synthetic biology through journals, conferences, and other academic resources Provide general day to day support to the wider team and any other duties requested of you by your group leader This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential & Desirable Knowledge, Skills and Experience: A Bachelor's degree in a relevant scientific field (e.g. Biology, Chemistry, Engineering, Computer Science) Previous experience in working in a research laboratory Ability to work effectively in a high growth, fast paced, dynamic environment. Highly organised with an ability to manage multiple projects. Excellent oral and written communication skills, inter personal skills, and the ability to work with a wide range of people from diverse backgrounds. Experience with problem solving involving multiple internal and external stakeholders We offer the following salary and benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Software Engineer C# development with a a degree in Computer Science, Software Engineering, Electrical/Automation Engineering, Mechatronics, or a related field with focus on hardware-automation or control systems (or equivalent). Desirable a bachelor s degree in Automation or Manufacturing engineering Software Engineers C# will be designing robust, multithreaded machine control software for deterministic, high-availability industrial systems. Software Engineers will contribute to the software architecture by focusing on key areas such as reliability, data logging, predictive maintenance capabilities, and cybersecurity for industrial environments. Software Engineers C# will have some of the following software development experience. Expert proficiency in C# for application development, specifically using the .NET Framework/Core (for stability and modern application development) and ideally WPF (for complex, responsive UIs). Demonstrable experience with real-time or near real-time operating systems (RTOS) concepts and implementation, or strong experience with real-time extensions in Windows or Linux. Experience with Python for data processing, test automation, or highlevel control scripts. Familiarity with modern software development practices, including Design Patterns (e.g., MVVM, Factory) and Clean Architecture principles. Industrial Control & Communication Proven experience in programming and configuring industrial PCs (IPC) and motion controllers (e.g., from Beckhoff, Delta Tau, Aerotech, Galil). In-depth knowledge and hands-on experience with Industrial Ethernet protocols such as EtherCAT, PROFINET, or SERCOS III for high-speed, deterministic control loops. Practical experience integrating industrial communication standards like OPC UA for data exchange, telemetry, and SCADA/MES integration. Knowledge of Machine Vision libraries (e.g., Halcon, OpenCV) and practical experience implementing vision systems for alignment, quality control (QC), and feature recognition. Proficiency with Git for version control and collaborative development. Experience setting up and maintaining CI/CD pipelines (e.g., Azure DevOps, GitLab CI) for industrial software deployment. Familiarity with data logging, time-series databases (e.g., InfluxDB), or SQL/NoSQL databases for storing and analyzing machine operational data
Feb 27, 2026
Full time
Software Engineer C# development with a a degree in Computer Science, Software Engineering, Electrical/Automation Engineering, Mechatronics, or a related field with focus on hardware-automation or control systems (or equivalent). Desirable a bachelor s degree in Automation or Manufacturing engineering Software Engineers C# will be designing robust, multithreaded machine control software for deterministic, high-availability industrial systems. Software Engineers will contribute to the software architecture by focusing on key areas such as reliability, data logging, predictive maintenance capabilities, and cybersecurity for industrial environments. Software Engineers C# will have some of the following software development experience. Expert proficiency in C# for application development, specifically using the .NET Framework/Core (for stability and modern application development) and ideally WPF (for complex, responsive UIs). Demonstrable experience with real-time or near real-time operating systems (RTOS) concepts and implementation, or strong experience with real-time extensions in Windows or Linux. Experience with Python for data processing, test automation, or highlevel control scripts. Familiarity with modern software development practices, including Design Patterns (e.g., MVVM, Factory) and Clean Architecture principles. Industrial Control & Communication Proven experience in programming and configuring industrial PCs (IPC) and motion controllers (e.g., from Beckhoff, Delta Tau, Aerotech, Galil). In-depth knowledge and hands-on experience with Industrial Ethernet protocols such as EtherCAT, PROFINET, or SERCOS III for high-speed, deterministic control loops. Practical experience integrating industrial communication standards like OPC UA for data exchange, telemetry, and SCADA/MES integration. Knowledge of Machine Vision libraries (e.g., Halcon, OpenCV) and practical experience implementing vision systems for alignment, quality control (QC), and feature recognition. Proficiency with Git for version control and collaborative development. Experience setting up and maintaining CI/CD pipelines (e.g., Azure DevOps, GitLab CI) for industrial software deployment. Familiarity with data logging, time-series databases (e.g., InfluxDB), or SQL/NoSQL databases for storing and analyzing machine operational data
A leading information analytics company seeks a Software Engineer III with expertise in backend development and Java. The role focuses on implementing Scala/Spark pipelines and collaborating closely with engineering teams to ensure reliable Big Data solutions. Candidates should have around 3 years of experience and a solid understanding of API design and distributed processing. This position offers flexible working hours and supports a healthy work/life balance.
Feb 25, 2026
Full time
A leading information analytics company seeks a Software Engineer III with expertise in backend development and Java. The role focuses on implementing Scala/Spark pipelines and collaborating closely with engineering teams to ensure reliable Big Data solutions. Candidates should have around 3 years of experience and a solid understanding of API design and distributed processing. This position offers flexible working hours and supports a healthy work/life balance.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architectureteam to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Proficiency in Data Engineering & Architecture, AI/ML with hands on experience in designing, implementing, testing, and ensuring the operational stability of large scale enterprise platforms and solutions Advanced in one or more programming language(s) eg. Java, Python , C/C++, C# Working knowledge of relational and NoSQL databases and data lake architectures Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience Preferred qualifications, capabilities, and skills Experience with modern data technologies such as Databricks or Snowflake. Hands on experience with Spark/PySpark and other big data processing technologies Knowledge of the financial services industry and their IT systems
Feb 25, 2026
Full time
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JP Morgan Chase within the Corporate Risk Technology, you serve as a seasoned member of an Agile Engineering & Architectureteam to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and applied experience. Proficiency in Data Engineering & Architecture, AI/ML with hands on experience in designing, implementing, testing, and ensuring the operational stability of large scale enterprise platforms and solutions Advanced in one or more programming language(s) eg. Java, Python , C/C++, C# Working knowledge of relational and NoSQL databases and data lake architectures Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application & DB. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Practical cloud native experience Preferred qualifications, capabilities, and skills Experience with modern data technologies such as Databricks or Snowflake. Hands on experience with Spark/PySpark and other big data processing technologies Knowledge of the financial services industry and their IT systems
Software Development Engineer III United Kingdom - London Technology Full-Time Regular Posted: 09/24/2025 ID: R-98372 Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model, and career development resources to fuel employees' passion for travel and ensure a rewarding career journey. In this role, you will: Participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing, roll out, and support. Solve complex business problems by applying disciplined development methodology and producing scalable, flexible, efficient, and supportable solutions. Write clean, maintainable, optimized, modular code with good naming conventions, using appropriate software frameworks. Coordinate with stakeholders from varied perspectives to develop solutions and contribute suggestions. Identify and suggest improvements for inefficiencies in code or system operation. Compile and generate reports on major operational or technical initiatives (e.g., RCAs) for larger groups, via written or oral means. Minimum Qualifications Bachelor's or Master's degree in a technical field, or equivalent related professional experience. 5+ years of software development experience. Experience working with distributed systems and developing for fault tolerance. Professional experience in Java or Kotlin. Strong understanding of testing and monitoring tools and technologies. Demonstrated ability to lead and deliver medium sized projects end to end. Experience developing software in a team environment using agile methodologies (e.g., version control, DevOps, CI/CD). Preferred Qualifications Experience with backend development in high performance, high throughput, highly available, and scalable services on cloud platforms. Ability to understand highly complex systems and design moderate complex systems. Experience formally mentoring junior developers. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.
Oct 30, 2025
Full time
Software Development Engineer III United Kingdom - London Technology Full-Time Regular Posted: 09/24/2025 ID: R-98372 Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model, and career development resources to fuel employees' passion for travel and ensure a rewarding career journey. In this role, you will: Participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing, roll out, and support. Solve complex business problems by applying disciplined development methodology and producing scalable, flexible, efficient, and supportable solutions. Write clean, maintainable, optimized, modular code with good naming conventions, using appropriate software frameworks. Coordinate with stakeholders from varied perspectives to develop solutions and contribute suggestions. Identify and suggest improvements for inefficiencies in code or system operation. Compile and generate reports on major operational or technical initiatives (e.g., RCAs) for larger groups, via written or oral means. Minimum Qualifications Bachelor's or Master's degree in a technical field, or equivalent related professional experience. 5+ years of software development experience. Experience working with distributed systems and developing for fault tolerance. Professional experience in Java or Kotlin. Strong understanding of testing and monitoring tools and technologies. Demonstrated ability to lead and deliver medium sized projects end to end. Experience developing software in a team environment using agile methodologies (e.g., version control, DevOps, CI/CD). Preferred Qualifications Experience with backend development in high performance, high throughput, highly available, and scalable services on cloud platforms. Ability to understand highly complex systems and design moderate complex systems. Experience formally mentoring junior developers. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.
