SDLC Engineer
AI in this role
SDLC Engineer
A CAreer with point72’s Technology team
As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.
As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business.
What you’ll do
- Provide expert technical support for our enterprise Software Development Life Cycle (SDLC) platforms
- Support and optimize our artifact management solutions and static code analysis tools
- Partner directly with business teams and development clients to address SDLC platform challenges and deliver effective solutions
- Implement and maintain security controls across our development toolchain and infrastructure
- Develop automation solutions to eliminate toil and enhance developer productivity
- Troubleshoot complex build, deployment, and integration issues across our development environments
- Contribute to continuous improvement of our development infrastructure
- Maintain documentation and knowledge base for supported platforms and tools
What’s REQUIRED
- 5+ years of experience in software engineering, DevOps, or SRE roles
- Strong technical expertise in AWS services and cloud-native architectures
- Experience with container technologies, such as Docker, ECS, and EKS, and container orchestration
- Deep understanding of Git workflows, branching strategies, and version control best practices
- Solid programming background to effectively troubleshoot code-related pipeline issues
- Experience with infrastructure as code, such as Terraform and CloudFormation, in AWS environments
- Hands-on experience with CICD solutions like Jenkins, GitHub, or GitLab
- Strong knowledge of secure SDLC practices and security automation
- Experience supporting large-scale development environments with complex CI/CD requirements
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
About point72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $160,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
How we rate this
SDLC Engineer at Point72 rates 27 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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