Position Name : Senior Software Engineer
Department : Systems Engineering
Number of Positions : 1
ABOUT FACTSET
FactSet combines hundreds of databases into a single, powerful information system. It is a one-stop source for financial information and analytics for business analysts, portfolio managers, investment bankers / management firms and other financial professionals to analyze companies, portfolios, markets & economies. Founded in 1978 and operating from 43 locations worldwide employing nearly 8093 people, FactSet has over $1.1 Billion in annual revenues and is headquartered in Norwalk, Connecticut. Our operations extend within North America as well as Europe and the Pacific Rim. Since 1996, the Company has been publicly traded on the New York Stock Exchange under the symbol FDS, and is also dual-listed on the NASDAQ under the same symbol.
VALUES THAT DEFINE OUR CULTURE
We are unified by the spirit of going above and beyond for our clients and each other. We look to foster a globally inclusive culture, enabling our people to be themselves at work and to join in, be heard, contribute, and grow. We continually seek to expand our workforce with diverse perspectives, backgrounds, and experiences. We recognize that our best ideas can come from anyone, anywhere, at any time and help us provide the best solutions for our clients around the globe. Our inclusive work environment maximizes our diversity values, engagement, productivity, and ultimately makes FactSet a fun place to work.
Diversity
At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify.
FACTSET BRIEFFactSet combines hundreds of databases into a single, powerful information system. It is a one-stop source for financial information and analytics for business analysts, portfolio managers, investment bankers / management firms and other financial professionals to analyze companies, portfolios, markets & economies.
FactSet was formed in 1978 and operates out of 35 locations worldwide. FactSet, with over $1 Billion in annual revenues, is headquartered in Norwalk, Connecticut and employs nearly 6500 people worldwide. Our operations extend within North America as well as Europe and the Pacific Rim. Since 1996, the Company has been publicly traded on the New York Stock Exchange under the symbol FDS.
DEPARTMENT BRIEFNetDevOps at FactSet have a wide variety of responsibilities across the enterprise’s entire infrastructure. The department primarily owns the responsibility of automating and developing necessary tools for FactSet’s various network systems, including but not limited to FactSet’s AWS / Azure network infrastructure, WAN, LAN, SAN, Wi-Fi, load-balancing, internet, DNS, and market data environments.
The position will work with Cloud Architects, Software Engineers and Systems Administrators to support and deliver Software-as-a-Service (SaaS), Platform as a Service (PaaS) and Infrastructure-as-a-Service (IaaS) at FactSet. Developer Workflows will be tasked with creating tools and best practices used by FactSet developers to deploy and manage their On-Premises and cloud infrastructure. This includes pipelines for lambdas, infrastructure-as-code, etc. Developer Workflows will also work to provide guardrails and transparency around these workflows. For example, this team will create and managing processes for collecting resource inventory, budgets & cost-management, etc. Moreover, team will also establish standard cloud recipes and APIs, like S3 access for client data, that will be employed by various teams.
JOB RESPONSIBILITIESDevelop and deploy tools / framework to automate existing Network Engineering workflows across AWS, Azure and On-Premises.
Research, design and implement new technological advances in Automation flows for distributed systems like network
Build web-portals / CLI wrappers for the automation tools for user-friendly access.
Design data models to abstract vendor implementations and bring neutrality across vendor configurations
Research public frameworks around Network Automation to improve efficiency and speed for existing automation tools
Evolve as a subject matter expert in building automation frameworks for Network Engineering
Deploy Continuous Integration & Continuous deployment pipelines for network Engineering workflows
Build and deploy automation / Unit testing frameworks to validate changes.
Adhere and contribute Infrastructure Automation and Configuration Management using CI/CD pipelines
Take on initiatives for building automation pipelines, services and APIs that will be utilized by other Infrastructure and application teams
Applying Modern Cloud Architectural patterns such as Serverless and Container orchestration services whenever required
Facilitate application teams and software engineers to leverage FactSet’s network platform on AWS and Azure
Participate in Oncall rotation and available for escalation
Willing to work on Saturdays.
JOB REQUIREMENTSBS degree in a Computer engineering discipline or equivalent
Relevant experience of 4-6 years
Ability to be self-sufficient and to grasp new technologies easily
Maintain knowledge of present and emerging technologies
Thorough understanding of following technologies and tools.
o Python, C#
o HTML. CSS. JavaScript
o Any of the Ansible / Chef / Puppet orchestration tools
o Familiarity with frameworks like React, Angular, Django, etc.
o Jenkins / Travis / Artifactory
o GitHub / Gitlab / Perforce
o JSON/ YAML / YANG or any other data model
o Any Java Script / Web programming language
o REST API
o Bash scripting
o Good (Intermediate) understanding of Relational Databases such as MSSQL / MYSQL / PostgreSQL
o Basic Understanding of Non-relational database technologies like MongoDB / DynamoDB etc.
Sound Experience with Linux / Unix operating system.Sound understanding of HTTP / DNS / SNMP protocols.Good Understanding of AWS and Azure Public cloud platforms.Basic understanding of Dockers / Kubernetes.Proficiency with AWS DevOps tools like Lambda / Codebuild are an added advantage.Some form of programming experience preferably but not limited to Python, PowerShell, Bash, etc.Efficiently able to use Cloud SDKs such as Boto3 to interact with Cloud Services and monitor them using tools such as AWS CloudWatch or Grafana.Working with Version control systems such as Git and deploying to CI/CD pipelines using tools such as Jenkins/CodePipeline/GithubActions.Experience in building and deploying Restful services or web applications using languages such as Python or NodeJS.Experience in working with Domain Controllers and configuration management such as Ansible, Puppet or Chef.Knowledge in authentication mechanisms such as using SSO using Trusted Identity providers.Ability to clearly communicate with software engineers as well as project management personnel.Being able to learn independently and take on own initiatives when required.Ability to effectively troubleshoot and isolate technical issues in a timely manner.Excellent oral and written communication skillsAbility to be a cohesive member of a group.Ability to effectively communicate with stakeholders and service providers, both internal and externalAbility to manage many projects simultaneously and prioritize effectively.DESIRABLE SKILLS Basic Understanding of Networking stackKubernetes and Unix hands on knowledge.Experience on working with AI (ChatGPT/Gemini etc.) is a plus.CKA / CKAD certification is a plus.AWS Certified DevOps Engineer certification is a plus.Familiarity with TCP/IP or OSI conceptsSound understanding of Cloud automation frameworks like Terraform / Cloud Formation / Azure templates.AWS SysOps Certification / Red hat Ansible certificationExperience in working with Docker ContainersExperience in building services using Serverless ArchitectureProficiency in Go, VuJSProficiency in ELK stack.